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TRANSCRIPT
T Tamizh ChelvamT Asir
G. S. Grace Prema
Inverse Domination inGraphs
Inverse Domination, General Properties, Grid Graphs
The concept of dominating sets introduced by Ore and Berge, is currentlyreceiving much attention in the literature of graph theory. Several types ofdomination parameters have been studied by imposing several conditionson dominating sets. Ore observed that the complement of every minimaldominating set of a graph with minimum degree at least one is also adominating set. This implies that every graph with minimum degree at leastone has two disjoint dominating sets. Recently several authors initiated thestudy of the cardinalities of pairs of disjoint dominating sets in graphs. Theinverse domination number is the minimum cardinality of a dominating setwhose complement contains a minimum dominating set. Motivated by theinverse domination number, there are studies which deals about twodisjoint domination number of a graph.
T Tamizh Chelvam
T. TAMIZH CHELVAM is the Professor and Chairmanof Department of Mathematics at ManonmaniamSundaranar University, India. He has authored 85referred papers on Algebra & Graph Theory. T. ASIRis D.S. Kothari Post Doctoral Fellow and a Doctoratein Algebraic Graph Theory. G.S. Grace Prema isAssociate Professor at St. John's College,Palayamkottai
978-3-659-36290-3
Inverse D
om
inatio
n in
Grap
hs
Tamizh
Ch
elvam, A
sir, Grace Prem
a
Preface
The concept of dominating sets introduced by Ore and Berge, iscurrently receiving much attention in the literature of graph the-ory. Several types of domination parameters have been studied byimposing several conditions on dominating sets. Ore observed thatthe complement of every minimal dominating set of a graph withminimum degree at least one is also a dominating set. This impliesthat every graph with minimum degree at least one has two disjointdominating sets. Recently several authors initiated the study of thecardinalities of pairs of disjoint dominating sets in graphs. Kulli andSigarkanti introduced the inverse domination number which is theminimum cardinality of a dominating set whose complement con-tains a minimum dominating set. Motivated by the inverse domina-tion number, Hedetniemi et al. defined the two disjoint dominationnumber of a graph.
It is a natural question why to devote special attention to the caseof two disjoint dominating sets rather than k disjoint dominatingsets for a general k. The reason is that, by Ore’s observation, thetrivial necessary minimum degree condition is also sufficient for theexistence of two disjoint dominating sets. For all fixed k ≥ 3, it isNP-complete to decide the existence of k disjoint dominating setsand no minimum degree condition is sufficient for the existence ofthree disjoint dominating sets. One can find applications for twodisjoint dominating sets in networks. In any network (or graphs),dominating sets are central sets and they play a vital in routingproblems in parallel computing. Also finding efficient dominatingsets is always concern in finding optimal central sets in networks.
i
ii
Suppose S is a dominating set in a graph (or network) G, when thenetwork fails in some nodes in S, the inverse dominating set in V −S
will take care of the role of S. In this aspect, it is worthwhile toconcentrate on dominating and inverse dominating sets in graphs.
This book deals about the inverse domination in graphs and dealtthe following problems:
• characterization of graphs G with γ(G) = γ ′(G) =⌊
|G|2
⌋
.
• characterization of graphs G with γ(G) + γ ′(G) = |G| − 1.
• the inverse domination number of the grid graph Pk × Pn.
T. Tamizh Chelvam, T. Asir and G.S. Grace Prema
Acknowledgments
We thank the authorities of Manonmaniam Sundaranar University, India forgranting permission to publish this book which is an outcome of research car-ried out in the Department of Mathematics with the partial financial assistancethrough UGC-Special Assistance Programme(DRS-II) sanctioned to Departmentof Mathematics by the University Grants Commission, Government of India. Ithank this funding agency at this moment. I also thank the research scholars S.Raja and N. Mohamed Rilwan for their support in type setting the manuscript.I would be failing in my duty if I do not thank my wife Dr. R. Ezily and my sonMaster T. Kuralamudhan for their cooperation.
T. Tamizh Chelvam
I am thankful to the University Grants Commission, Government of India forproviding me with the necessary financial support through Dr. D. S. KothariPostdoctoral Fellowship. I would be thankful to my parents Mr. R. Thangarajand Mrs. D. Victoria, my well wishers and my friends for their encouragementand constant support throughout my life.
T. Asir
I thank the authorities of Manonmaniam Sundaranar University, St. John’sCollege for providing and University Grants Commission, India for providing mea chance to pursue research under FDP programme. I would be thankful tomy parents Mrs. and Mr. Gurupatham Selvaraj and husband Mr. G. SudhakarDavid. I also would like to put on record the patience of my daughter S. Nilastessiand son S. Anban Monickam who stared me of all my motherly responsibilitiesduring the period of research.
G.S. Grace Prema
iii
iv
Contents
1 Introduction 1
1.1 Basic Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2 Results on Domination . . . . . . . . . . . . . . . . . . . . . . . . 8
2 Inverse Domination Number 11
2.1 Graphs with γ(G) = γ′
(G) . . . . . . . . . . . . . . . . . . . . . 13
2.2 Basic results on γ ′(G) . . . . . . . . . . . . . . . . . . . . . . . . 17
2.3 Bounds for γ′
(G) . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
2.4 Graphs with γ(G) = γ′
(G) =⌊
n
2
⌋
. . . . . . . . . . . . . . . . . . 25
3 Sum of γ and γ ′ 35
3.1 Graphs with δ ≥ 2 and γ + γ ′ = n − 1 . . . . . . . . . . . . . . . 37
3.2 Graphs with δ = 1 and γ + γ ′ = n − 1 . . . . . . . . . . . . . . . 45
4 Inverse Domination in Grid Graphs 63
4.1 Inverse Domination in 2 × n Grid Graphs . . . . . . . . . . . . . . 65
4.2 Inverse Domination in 3 × n Grid Graphs . . . . . . . . . . . . . . 67
4.3 Inverse Domination in 4 × n Grid Graphs . . . . . . . . . . . . . . 68
4.4 Inverse Domination in 5 × n Grid Graphs . . . . . . . . . . . . . . 70
4.5 Inverse Domination in 6 × n grid graphs . . . . . . . . . . . . . . 73
4.6 Inverse Domination in 7 × n grid graphs . . . . . . . . . . . . . . 76
4.7 Inverse Domination in P2 × Cn grid graphs . . . . . . . . . . . . . 77
5 Inverse Domination Saturation Number 81
5.1 Classification of Inverse Domination Saturation . . . . . . . . . . 82
5.2 Classification of Inverse Domination Unsaturation . . . . . . . . . 91
Bibiliography 97
v
vi CONTENTS
List of Figures
2.1 Class A . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.2 Class B . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.3 Class Q2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
2.4 Class Q3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
2.5 Class Q4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
2.6 Class Q5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
3.1 Graph with γ < γ ′ and γ + γ ′ = n − 1 . . . . . . . . . . . . . . . 43
3.2 Graphs in family C . . . . . . . . . . . . . . . . . . . . . . . . . . 43
3.3 Graphs in family D . . . . . . . . . . . . . . . . . . . . . . . . . . 44
3.4 Class G1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
3.5 Class G2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
3.6 Class R1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
3.7 Class R2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
3.8 Class R3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
3.9 Class R4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
3.10 Class R5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
3.11 Class R6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
3.12 Class R7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
4.1 Class S and S ′ . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
4.2 2 × 7 grid graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
4.3 Blocks A2, AB1, AB2, AB3 and AB4 for 2 × n grid . . . . . . . . . 66
4.4 Blocks A,B1, B2, B3 and B4 for 3 × n grid . . . . . . . . . . . . . 67
4.5 Blocks A2, AB1, AB2, AB3 and AB4 for 3 × n grid . . . . . . . . . 68
4.6 Blocks A1, A2, A3, A4 and A5 for 4 × n grid . . . . . . . . . . . . . 69
4.7 Blocks A,B and B1 for 4 × n grid . . . . . . . . . . . . . . . . . . 69
4.8 Blocks AB and BB1 for 4 × n grid . . . . . . . . . . . . . . . . . 69
vii
viii LIST OF FIGURES
4.9 Blocks A, B, B1, B2, B3, B4 and B5 for 5 × n grid . . . . . . . . . 71
4.10 Blocks C, D, D1, D2, D3, D4, D5, F2, F3, F4 and F5 for 5 × n
grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
4.11 Blocks A, B, B1, B2, B3, B4 and B5 for 6 × n grid . . . . . . . 74
4.12 Blocks B6 and B7 for 6 × n grid . . . . . . . . . . . . . . . . . . . 74
4.13 Blocks A, C1 and C3 for 7 × n grid . . . . . . . . . . . . . . . . . 75
4.14 Blocks C4 and C5 for 7 × n grid . . . . . . . . . . . . . . . . . . . 76
4.15 Blocks C6 and B for 7 × n grid . . . . . . . . . . . . . . . . . . . 77
5.1 Peterson graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
5.2 Inverse domination saturated graph . . . . . . . . . . . . . . . . . 86
5.3 Twin star graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
5.4 A 3-regular graph . . . . . . . . . . . . . . . . . . . . . . . . . . . 92
Notations
Throughout this book, unless otherwise stated, our notations will be as follows:
⌊x⌋ The largest integer less than or equal to x.
⌈x⌉ The smallest integer greater than or equal to x.
G Graph
n Number of vertices in G
V = V (G) Vertex set of G
E = E(G) Edge set of G
〈S〉 Subgraph induced by S ⊆ V (G)
d(v) Degree of the vertex v
∆(G) Maximum degree of G
δ(G) Minimum degree of G
Kn Complete graph on n vertices
Km,n Complete bipartite graph
Cn Cycle on n vertices
Pn Path on n vertices
G Complement of the graph G
N(S) Open neighborhood of S
N [S] Closed neighborhood of S
G1oG2 Corona of the graphs G1 and G2
β0(G) Independence number of G
γ(G) Domination number of G
γ ′(G) Inverse domination number of G
d(G) Domatic number of G
i(G) Independent domination number of G
G1 ∪ G2 Union of the graphs G1 and G2
G1 + G2 Join of the graphs G1 and G2.
ix
x LIST OF FIGURES
Chapter 1
Introduction
One of the fastest growing areas in graph theory is the study of
domination and related subset problems such as independence, cov-
ering, matching and inverse domination. Several types of domina-
tion parameters have been studied by imposing several conditions
on dominating sets. Though substantial work has been carried out
on domination parameters and related topics in graphs, there are
only a few results concerning inverse domination in graphs. The
purpose of this book is to study about the inverse domination in
graphs.
By a graph G = (V, E), we mean a finite undirected graph with-
out loops or multiple edges. For graph theoretic terminology, we
refer G. Chatrand et al. [8] and F. Harary [21]. A subset S of V is
called a dominating set if for every vertex v ∈ V −S, there exists a
vertex u in S such that u is adjacent to v. The smallest cardinality
of a minimal dominating set in G is called the domination number
of G and is denoted by γ(G) or simply γ when there is no possibil-
ity of confusion. Any dominating set with γ(G) vertices is called a
γ-set of G. An excellent treatment of fundamentals of domination
in graphs is given by Haynes et al. in [23]. Let D be a γ-set of G. A
1
2 CHAPTER 1. INTRODUCTION
dominating set D ′ contained in V −D is called an inverse dominat-
ing set of G with respect to D. The smallest cardinality among all
minimal dominating set in V − D is called the inverse domination
number of G and it is denoted by γ ′(G). Any inverse dominating
set of G which has γ ′(G) vertices is called a γ′
-set of G. By O.
Ore’s Theorem [32], if a graph G has no isolated vertices, then the
complement V − D of every minimal dominating set D contains a
dominating set. Thus every graph without isolated vertices contains
an inverse dominating set with respect to a minimum dominating
set and so every graph has an inverse domination number. Due to
this fact, throughout the book we restrict ourselves to graphs with
no isolated vertices. Hereafter G denotes a simple graph on n ver-
tices with no isolated vertices. This concept of inverse domination
was introduced by V. R. Kulli [28].
By the definition of an inverse domination number γ ′(G), for
any graph G without isolated vertex, we have γ(G) + γ ′(G) ≤ n
and γ ′(G) ≥ γ(G). Also G. S. Domke et al. [13] characterized the
graphs which satisfy γ(G) + γ ′(G) = n. In their work, they give a
lower bound for the inverse domination number for trees. They also
provided a constructive characterization for the trees which achieve
their lower bound.
In this chapter, we present certain basic definitions and graph
theoretical results which are essential for later reference in this book.
In chapter 2, we consider graphs G for which γ(G) = γ ′(G). We
derive some bounds for γ ′(G) and γ(G) through n and characterize
the graphs with γ(G) = γ′
(G) = n2 . Also we characterize the graphs
with γ(G) = γ ′(G) = n−12 and we give the inverse domination
number for some classes of graphs. In chapter 3, we characterize
1.1. BASIC DEFINITIONS 3
graphs with minimum degree at least two for which the sum of
their domination number and inverse domination number is n − 1.
Further, we construct classes of graphs with minimum degree one for
which the sum of their domination number and inverse domination
number is n− 1 and finally we characterize all graphs for which the
sum of domination number and inverse domination number is n−1.
In chapter 4, we study about inverse domination in grid graphs. The
domination number of grid graphs Pk×Pn for 1 ≤ k ≤ 10 and n ≥ 1
have been previously established by M. S. Jacobson et al. [26, 27]
and T. Y. Chang et al. [7]. In this study, we obtain the inverse
domination number and an inverse dominating set for grids Pk ×Pn
where 1 ≤ k ≤ 7 and n ≥ 1. In chapter 5, we indicate a motivation
to define inverse domination saturation and classify graphs into type
I and type II inverse domination saturated graphs. Further we
introduce inverse domination unsaturation and we classify type I
and type II inverse domination unsaturated graphs.
1.1 Basic Definitions
In this section, we collect some basic definitions and theorems which
are needed for the subsequent chapters. For basic graph theoretic
terminology, we refer to F. Harary [21]. Some of the important
definitions in graph theory which are used in this book are listed
here.
A graph G = (V, E) is a finite nonempty set of objects called
vertices together with a set of unordered pairs of distinct vertices
of G called edges. The vertex set and the edge set of G are denoted
by V (G) and E(G) respectively. If e = {u, v} is an edge, then we
4 CHAPTER 1. INTRODUCTION
write e = uv and we say that u and v are adjacent vertices. If two
vertices are not joined by an edge, then they are nonadjacent. If
two distinct edges are incident with a common vertex, then they
are said to be adjacent to each other. The edge e = uu is called a
loop. The edges ei = ej = uv are called multiple edges or parallel
edges. A graph without loops and parallel edges is called a simple
graph.
The cardinality of the vertex set of a graph G is called the order
of G and is denoted by n where as the cardinality of the edge set is
called the size of G and is denoted by m. A graph with n vertices
and m edges is called a (n, m) graph.
A graph H is called a subgraph of G if V (H) ⊆ V (G) and E(H) ⊆
E(G). A spanning subgraph H of G is a subgraph of G with V (H) =
V (G). For any subset S of vertices of G, the induced subgraph 〈S〉
is the maximal subgraph of G with vertex set S. Thus two vertices
of S are adjacent in 〈S〉 if and only if they are adjacent in G. Note
that 〈S〉 is also denoted by G[S]. For v ∈ V (G), the subgraph
induced by V − {v} is denoted by G − v and it is the subgraph
obtained from G by the removal of v.
The degree of a vertex v in a graph G is the number of edges
of G incident with v and is denoted by d(v). A vertex of degree 0
in G is called an isolated vertex and a vertex of degree 1 is called
a pendant vertex. A vertex that is adjacent to a pendant vertex v
is called a support of v. The minimum and maximum degrees of
vertices of G are denoted by δ(G) and ∆(G) respectively. A graph
is said to be regular if all its vertices are of the same degree k and
it is said to be k-regular graph.
1.1. BASIC DEFINITIONS 5
The complement G of a graph G is the graph with vertex set
V (G) such that two vertices are adjacent in G if and only if they
are not adjacent in G. A graph is said to be a complete graph if
every two of its vertices are adjacent. The complete graph on n
vertices is denoted by Kn. A bipartite graph G is a graph whose
vertex set V (G) can be partitioned into two subsets X and Y such
that every edge of G has one end in X and the other end in Y .
The pair (X, Y ) is called a bipartition of G. Further, if G contains
every edge joining any vertex of X to any vertex of Y , then G is
called a complete bipartite graph. The complete bipartite graph with
bipartition (X, Y ) such that |X| = m and |Y | = n is denoted by
Km,n. The graph K1,n−1 is called a star graph.
Let u and v (not necessarily distinct) be vertices of a graph G. A
u−v walk of G is a finite, alternating sequence u = u0, e1, u1, e2, . . . ,
un−1, en, un = v of vertices and edges, beginning with vertex u and
ending with vertex v such that ei = ui−1ui for all i = 1, 2, . . . n.
The number n is called the length of the walk. A u − v walk is
determined by the sequence u = u0, u1, . . . un−1, un = v of its vertices
and hence we specify a walk simply by u = u0, u1, . . . un−1, un. A
walk in which all the vertices are distinct is called a path. A walk
u0, u1, . . . un−1, un is called a closed walk if u0 = un. A closed walk
in which u0, u1, . . . un−1, un are distinct is called a cycle. A path on
n vertices is denoted by Pn and a cycle on n vertices is denoted by
Cn.
A graph G is said to be connected if any two vertices of G are
joined by a path. A maximal connected subgraph of G is called
a component of G. Thus a disconnected graph has at least two
components. The number of components of G is denoted by ω(G).
6 CHAPTER 1. INTRODUCTION
A graph G is called acyclic if it has no cycles. A connected acyclic
graph is called a tree. A spanning subgraph of a graph which is also
a tree is called a spanning tree of the graph. A wheel is a graph
obtained from a cycle by adding a new vertex and edges joining it
to all the vertices of the cycle. A wheel with n vertices is denoted by
Wn. A path that contains every vertex of G is called a Hamiltonian
path of G. A Hamiltonian cycle is a cycle that contains every vertex
of G. If a graph contains a Hamiltonian cycle, then it is called a
Hamiltonian graph.
Two graphs G1 and G2 have disjoint vertex sets V1, V2 and edge
sets E1, E2 respectively. Their join is denoted by G1 + G2 and it
consists of G1 ∪ G2 and all edges joining every vertex of V1 with
every vertex of V2. The corona of two graphs G1 and G2 is the
graph G = G1oG2 formed from one copy of G1 and |V (G1)| copies
of G2 where the ith vertex of G1 is adjacent to every vertex in the
ith copy of G2.
The open neighborhood N(v) of a vertex v is the set of all vertices
adjacent to v in G. Also N [v] = N(v) ∪ {v} is called the closed
neighborhood of v. The open neighborhood N(S) of a set S of
vertices is the set of all vertices adjacent to some vertex in S. N [S] =
N(S)∪S is called the closed neighborhood of S. Let S be a subset
of vertices of a graph G and u ∈ S. We say that a vertex v is a
private neighbor of u (with respect to S) if N [v] ∩ S = {u}. The
private neighbor set of u with respect to S is defined as pn[u, S] =
{v : N [v] ∩ S = {u}}. Notice that u ∈ pn[u, S] if u is an isolate in
〈S〉, in which case we say that u is its own private neighbor. The
private neighbor set of a set S is defined as pn(S) = {v : v ∈ pn[u, S]
for every u ∈ S}.
1.1. BASIC DEFINITIONS 7
A subset S of V in a graph G is said to be independent if no
two vertices in S are adjacent. The maximum cardinality of an
independent set is called the independence number of G and it is
denoted by β0(G). A status is a set S of vertices in a graph which
has the property that for any two vertices u, v ∈ S, N(u)∩V −S =
N(v)∩V −S. In other words, the set of vertices in V −S dominated
by u equals the set of vertices in V − S dominated by v.
A set S ⊆ V of vertices in a graph G = (V, E) is called a domi-
nating set if every vertex v ∈ V is either an element of S or adjacent
to an element of S. The domination number of G is the smallest
cardinality of all minimal dominating sets in G and is denoted by
γ(G) or simply by γ. Moreover such a dominating set of G is called
a γ-set of G. If D = {x} is a dominating set of G, then x is called a
dominating vertex of G. A vertex v ∈ V (G) is said to be a γ-required
vertex of G if v lies in every γ-set of G.
Let D be a γ-set of a graph G. A dominating set D ′ ⊆ V −D is
called an inverse dominating set of G with respect to D. The inverse
domination number γ ′(G) of G is the cardinality of a smallest
inverse dominating set of G. An inverse dominating set D′ is called
a γ ′-set if |D′| = γ ′(G).
A dominating set S is called a perfect dominating set if every
vertex in V −S is adjacent to exactly one vertex in S. A dominating
set S is called an independent dominating set if no two vertices of S
are adjacent. A subset S of V is called a total dominating set if every
vertex in V is adjacent to some other vertex in S. A dominating
set S is called a connected dominating set if the subgraph 〈S〉 is
connected. A dominating set S is called an inverse dominating set
if S ⊆ V − S ′ for some γ-set S ′. A dominating set S is called a
8 CHAPTER 1. INTRODUCTION
split dominating set if the subgraph 〈V − S〉 is disconnected. The
domatic number d(G) of a graph G is defined to be the maximum
number of elements in a partition of V (G) into dominating sets. A
graph G is called domatically full if d(G) = δ(G) + 1, which is the
maximum possible order of a domatic partition of G.
1.2 Results on Domination
In this section, we collect certain fundamental results connecting the
domination number and the inverse domination number. First of
all we start with characterization of minimal dominating sets given
by O. Ore [32].
Theorem 1.2.1. [32] A dominating set S is a minimal dominating
set if and only if for each vertex u ∈ S, one of the following two
conditions holds.
(a) u is an isolate of S.
(b) There exists a vertex v ∈ V − S for which N(v) ∩ S = {u}.
Theorem 1.2.2. [32] If a graph G has no isolated vertex and D is
a minimal dominating set of G, then V − D is a dominating set of
G. In particular, γ(G) ≤⌊
n2
⌋
.
Theorem 1.2.3. [4, 23] Let G be a (m, n) graph. Then
(i) n − m ≤ γ(G) ≤ n − ∆.
(ii) ⌈ n1+∆(G)⌉ ≤ γ(G) ≤ n − ∆(G).
1.2. RESULTS ON DOMINATION 9
Theorem 1.2.4. [23] For any graph G, γ(G) + ǫf(G) = n where
ǫf(G) denotes the maximum number of pendant edges in any span-
ning forest of G.
Theorem 1.2.5. For any tree T with n ≥ 2, there exists a vertex
v ∈ V such that γ(T − v) = γ(T ).
Theorem 1.2.6. If G and G have no isolated vertices, then γ(G)+
γ(G) ≤⌊
n2
⌋
+ 2.
The following two theorems give a characterization for graphs G
with γ(G) + γ ′(G) = n.
Theorem 1.2.7. [13] Let G be a connected graph with δ(G) ≥ 2.
Then γ(G) + γ ′(G) = n if and only if G = C4.
Theorem 1.2.8. [13] Let G be a connected graph with n ≥ 3 and
δ(G) = 1. Let L ⊆ V be the set of all degree one vertices and
S = N(L). Then γ(G)+ γ ′(G) = n if and only if the following two
conditions hold:
(i) V − S is independent.
(ii) For every vertex x ∈ V −(S∪L), every stem in N(x) is adjacent
to at least two leaves.
Theorem 1.2.9. [13] For any tree T of order n ≥ 2, γ′
(T ) ≥ n+13 .
Lemma 1.2.10. [20] If G has a unique γ-set D, then every vertex
in D that is not an isolated vertex has at least two private neighbors
other than itself.
10 CHAPTER 1. INTRODUCTION
Lemma 1.2.11. [20] Let D be a γ-set of a graph G. Suppose for
every x ∈ D, γ(G − x) > γ(G), then D is the unique γ-set of G.
Lemma 1.2.12. [20] Let G be a graph which has a unique γ-set D.
Then for any x ∈ G − D, γ(G − x) = γ(G).
Lemma 1.2.13. [20] Let G be a graph with a unique γ-set D. Then
γ(G − x) ≥ γ(G) for all x ∈ D.
Lemma 1.2.14. [23] If G is a connected graph and γ(G) =⌊
n2
⌋
,
then there is at most one end vertex adjacent to each v ∈ V , except
possibly for one vertex which may be adjacent to exactly two end
vertices when n is odd.
Theorem 1.2.15. [23] A connected graph G satisfies γ(G) =⌊
n2
⌋
if and only if G ∈ G = ∪6i=1Gi.
Theorem 1.2.16. [38] For any two arbitrary graphs G and H and
for k ≥ 1, |V (G)| ≤ γ(kGoH) ≤ 2|V (G)|.
Theorem 1.2.17. [38] Let G and H be a connected graphs. If H
has a dominating vertex, then γ(kGoH) = 2|V (G)|.
Corollary 1.2.18. [38] Let D be the γ(kGoH)-set with |D| = n =
|V (G)| and γ(H) ≥ 2. Then k ≤ d(G), where d(G) is the domatic
number of G.
Theorem 1.2.19. [23] For any tree T, γ(T ) = n − ∆(G) if and
only if T is a wounded spider.
Chapter 2
Inverse Domination Number
The concept of inverse domination was introduced by V.R. Kulli and
A. Sigarkanti [28]. After introducing the concept, they attempted
to prove that for any graph G, γ ′(G) ≤ β0(G) where γ ′(G) is
the inverse domination number and β0(G) is the vertex indepen-
dence number of G. However the proof given by V.R. Kulli and A.
Sigarkanti was incorrect. Up to date, no proof of this result is known
and no counter example is known. This is known as Kulli-Sigarkanti
conjecture in the literature.
G. S. Domke, J. E. Dunbar and L. R. Markus [14] characterized
the graphs for which γ(G) + γ ′(G) = n. Further, they obtained a
lower bound for the inverse domination number of a tree and also
characterized trees which achieve this lower bound. Note that every
inverse dominating set lies in the complement of a dominating set.
From this, a dominating set and an inverse dominating set are dis-
joint dominating sets of G. For many years, researchers have studied
the existence of graphs having disjoint minimum dominating sets.
In this regard, most notable one is the study of various kinds of
domatic numbers, in which one seeks to partition the vertices of G
into a maximum number of various kinds of dominating sets. Also
11
12 CHAPTER 2. INVERSE DOMINATION NUMBER
the existence of two disjoint minimum dominating sets in trees was
first studied by D.W. Bange et al. [3]. Specifically the existence of
two disjoint minimum dominating sets was first studied by D.W.
Bange, A.E. Barkauskas and P.J. Slater [3] in 1978, who actually
studied the existence of two disjoint minimum dominating sets in
trees. In a related paper, T.W. Haynes and M.A. Henning [24] stud-
ied the existence of two disjoint minimum independent dominating
sets in a tree. For a survey of this literature, one can refer to B.
Zelinka [37].
It is well known by Ore’s Theorem [32] that if a graph G has
no isolated vertices, then the complement V − D of every minimal
dominating set D contains a dominating set. Thus every graph
without isolated vertices contains an inverse dominating set with
respect to a minimum dominating set and so the inverse domination
number exists. In this context, throughout this chapter, we assume
that all graphs have no isolated vertices and we consider classes of
graphs G for which γ(G) = γ ′(G). Hereafter G denotes a simple
graph on n vertices with no isolated vertices.
This chapter is organized as follows. In section 3.1, we are in-
terested in graphs G for which γ(G) = γ′
(G). In section 3.2, we
find the inverse domination number for some classes of graphs. In
section 3.3, we given some bounds for γ′
(G). In the final section
of this chapter, we characterize graphs G with γ(G) = γ′
(G) = n2
and also we characterize graphs G for which γ(G) = γ′
(G) = n−12 .
2.1. GRAPHS WITH γ(G) = γ′
(G) 13
2.1 Graphs with γ(G) = γ′(G)
In this section, we give some graphs for which γ(G) = γ ′(G) and
obtain some results on this aspect.
The following result can be proved without any difficulty.
Proposition 2.1.1. The following hold:
(i) For any integer n ≥ 2, γ(Kn) = γ′
(Kn) = 1;
(ii) For integers m, n ≥ 2, γ(Km,n) = γ ′(Km,n) = 2;
(iii) For integers m, n ≥ 2, γ(Km,n) = γ ′(Km,n) = 2.
Lemma 2.1.2. Let G be a graph with γ(G) = γ ′(G). Then G has
no γ- required vertex.
Proof. Let G be a graph with γ(G) = γ ′(G). Let D be a γ-set and
D′ be a γ′
-set of G. Suppose G contains a γ-required vertex u.
Then u lies in every γ-set of G and hence u ∈ D and u ∈ D′, which
is a contradiction to D′ ⊆ V − D.
Proposition 2.1.3. Let x be a dominating vertex of a graph G.
Then γ ′(G) = γ(G − x).
Proof. Since x is a dominating vertex of G, {x} is a γ-set of G.
Hence any γ′
-set of G lies in G−{x} and is a minimum dominating
set of G − {x}. Therefore γ ′(G) = γ(G − x).
Theorem 2.1.4. Let G be a graph such that G and G are connected
with at least two pendant vertices in G. Then γ(G) = γ′
(G) = 2.
14 CHAPTER 2. INVERSE DOMINATION NUMBER
Proof. Since G and G are connected graphs, ∆(G) ≤ n − 2 and
∆(G) ≤ n − 2. Therefore γ(G) ≥ 2 and γ′
(G) ≥ 2. Let {a, b}
be two pendant vertices in G. Let a′, b′ be the supports of a and b
respectively.
Case 1. When a′ = b′, D = {a, a′} is a γ-set of G. Since G
is connected, a′ is adjacent to some other vertex c in G. Hence
D′ = {b, c} is a γ′
- set of G. Thus γ(G) = γ′
(G) = 2.
Case 2. When a′ 6= b′, D = {a, a′} is a γ-set of G and D′ =
{b, b′} is a γ′
- set of G. Thus γ(G) = γ′
(G) = 2.
The following theorem gives a necessary and sufficient condition
for γ(Pn) = γ′
(Pn) where Pn is the path on n vertices.
Theorem 2.1.5. For any integer n ≥ 4, γ(Pn) = γ′
(Pn) = ⌈n3⌉ if
and only if n 6≡ 0(mod 3).
Proof. Let V (Pn) = {1, 2, . . . , n}. Assume that n ≥ 4 and n 6≡
0(mod 3). Then n = 3k + 1 or n = 3k + 2 for some positive integer
k > 0. When n = 3k + 1, the set D = {2, 5, 8, . . . , 3(k − 1) + 2, 3k}
is a γ-set with k + 1 = ⌈n3⌉ elements and D′ = {1, 4, 7, . . . , 3k + 1}
is a γ′
-set with k + 1 = ⌈n3⌉ elements. When n = 3k + 2, the set
D = {2, 5, 8, . . . , 3k+2} is a γ-set with k+1 = ⌈n3⌉ elements and the
set D′ = {1, 4, 7, . . . , 3k + 1} is a γ′
-set with k + 1 = ⌈n3⌉ elements.
Conversely assume that γ(Pn) = γ′
(Pn) = ⌈n3⌉. Suppose n ≡ 0(
mod 3). Then n = 3k for some positive integer k. The set D =
{2, 5, 8, . . . , 3k − 1} is a γ-set with k = n3 elements and D is the
only γ-set in Pn. The set D′ = {1, 4, 7, . . . , 3k − 2, 3k} is a γ′
-set
with k + 1 = n3 + 1 elements, which contradicts γ = γ
′
= ⌈n3⌉.
Hence n 6≡ 0(mod 3). Therefore γ(Pn) = γ′
(Pn) = ⌈n3⌉ if and only
if n 6≡ 0(mod 3).
2.1. GRAPHS WITH γ(G) = γ′
(G) 15
Proposition 2.1.6. For an integer n ≥ 4, γ(Pn) = γ′
(Pn) = 2.
Proof. Since Pn has two pendant vertices, by Theorem 2.1.4, we
have γ(Pn) = γ′
(Pn) = 2.
Corollary 2.1.7. For an integer n ≥ 4, γ′
(Pn) = γ′
(Pn) if and
only if n = 4, 5.
Proof. By Proposition 2.1.6, we have γ′
(Pn) = 2. Again, by Theo-
rem 2.1.5, γ′
(Pn) = ⌈n3⌉ for n 6≡ 0 (mod 3) and γ
′
(Pn) = ⌈n3⌉ + 1
for n ≡ 0 (mod 3). Thus γ′
(Pn) = 2 if and only if n = 4, 5. Hence
γ′
(Pn) = γ′
(Pn) if and only if n = 4, 5.
Theorem 2.1.8. For an integer n ≥ 3, γ(Cn) = γ′
(Cn) = ⌈n3⌉.
Proof. Assume that V (Cn) = {1, 2, . . . , n}. When n = 3k, for some
k > 0, the set D = {1, 4, 7, . . . , 3k − 2} is a γ-set and the set
D′ = {2, 5, 8, . . . , 3k−1} is a γ′
- set both containing k = n3 elements.
When n = 3k + 1, the set D = {1, 4, 7, . . . , 3(k − 1) + 1, 3k} is
a γ-set and the set D′ = {2, 5, 8, . . . , 3k − 1, 3k + 1} is a γ′
-set
both containing k + 1 = ⌈n3⌉ elements. When n = 3k + 2, the set
D = {1, 4, 7, . . . 3k + 1} is a γ-set with k + 1 = ⌈n3⌉ elements and
D′ = {2, 5, 8, . . . 3k + 2} is a γ′
-set with k + 1 = ⌈n3⌉ elements each.
Thus in all the cases γ(Cn) = γ ′(Cn) = ⌈n3⌉.
Proposition 2.1.9. For an integer n ≥ 4, γ(Cn) = γ′
(Cn) = 2.
Proof. Let V (Cn) = {1, 2, . . . , n}. Then each vertex i in Cn is ad-
jacent to i − 1 and i + 1 modulo n. Therefore each vertex i in Cn
is adjacent to the remaining n − 3 vertices. Also i − 1 and i + 1
are adjacent in Cn. Hence D = {i, i + 1} is a γ-set of (Cn) and
D′ = {j, j + 1} is a γ′
-set of (Cn). Thus γ(Cn) = γ′
(Cn) = 2.
16 CHAPTER 2. INVERSE DOMINATION NUMBER
Corollary 2.1.10. γ′
(Cn) = γ′
(Cn) if and only if n = 4, 5, 6.
Proof. From Proposition 2.1.9 and Theorem 2.1.8, γ′
(Cn) = γ′
(Cn)
= ⌈n3⌉ = 2. Hence γ
′
(Cn) = γ′
(Cn) if and only if n = 4, 5, 6.
Theorem 2.1.11. Let T be a tree in which all the vertices are either
pendant vertices or their supports. Then T is a wounded spider if
and only if γ′
(T ) = ∆(T ).
Proof. Let T be a tree with n vertices and whose vertices are either
pendant vertices or their supports and let γ′
(T ) = ∆(T ). Let L
be the set of all pendant vertices of T and S be its neighbor set.
Then |S| ≤ |L|. By the assumption of T , V (T ) = S ∪ L. Hence
S is a γ-set of T and L is a γ′
-set of T . Since |S| + |L| = n, we
get γ(T ) + γ′
(T ) = n. This implies that γ(T ) = n − ∆(T ). By
Theorem 1.2.19, T is a wounded spider.
Conversely assume that T is a wounded spider and so γ(T ) = n−
∆(T )(Theorem 1.2.19). As discussed above, we have V (T ) = S ∪L
and so by Theorem 1.2.8, γ(T ) + γ′
(T ) = n. Hence γ′
(T ) =
∆(T ).
Corollary 2.1.12. Let G be a wounded spider on n vertices. Then
γ(G) = γ ′(G) if and only if ∆(G) = n2 .
Proof. Assume that γ(G) = γ ′(G). By Theorem 2.1.11, for a
wounded spider G, we have γ(G) + γ ′(G) = n and γ′
(G) = ∆(G).
Hence ∆(G) = n2 . On the reverse assume that ∆(G) = n
2 . We have
γ′
(G) = ∆(G). Then by Theorem 1.2.19, γ(G) = n−∆(G). Hence
γ(G) = γ ′(G).
2.2. BASIC RESULTS ON γ ′(G) 17
Theorem 2.1.13. Let d be a positive divisor of a positive integer
n. Then there exists a regular graph G on n vertices, for which
γ(G) = γ ′(G) = d.
Proof. Assume that d is a positive integer and divides n ≥ 1. i.e,
n = kd. Let V = ∪ki=1Vi, where Vi = {vi1, vi2, . . . , vid} for 1 ≤ i ≤ d.
Let G be the graph with vertex set as V and each vertex of Vi is
adjacent to exactly one vertex of Vj for j 6= i. Then d(v) = k − 1
for all v ∈ V and so G is k− 1 regular. Also each Vi is a γ-set of G.
Hence γ(G) = |Vi| = d and γ ′(G) = |Vj| = d.
Proposition 2.1.14. If a γ-set of a connected graph G of order
n ≥ 4 is a status, then γ(G) = γ ′(G) = 2.
Proof. Let S be a γ-set as well as a status in G. Trivially |S| ≥ 2
and any vertex of S is adjacent to every other vertex in V −S. Let
S = {u1, u2, ....uk} and let V − S = {v1, v2, . . . , vn−k}. Then D =
{u1, v1} is a γ-set of G and D′ = {u2, v2} is an inverse dominating
set of G with respect to D with |D′| = γ(G). i.e., D′ is a γ′
-set of
G. Hence γ(G) = γ ′(G) = 2.
2.2 Basic results on γ ′(G)
In this section, we find the inverse domination number for some
classes of graphs such as generalized corona, union and join of
graphs. Recall that, a k-corona kG ◦ H contains k copies of G
and |V (G)| copies of H with appropriate edges between each vertex
xji of the copy Gj and all of the vertices of the copy Hi[38].
18 CHAPTER 2. INVERSE DOMINATION NUMBER
Lemma 2.2.1. Let H be any graph. Then the following hold.
(i) γ(K1 ◦ H) = 1 and γ ′(K1 ◦ H) = γ(H);
(ii) γ(H ◦ K1) = γ ′(H ◦ K1) = |V (H)|;
(iii) If |V (H)| ≥ 2, then γ(mK1 ◦ H) = γ ′(mK1 ◦ H) = 2 for any
positive integer m ≥ 2;
(iv) If |V (H)| = n, γ(H ◦ Km) = γ ′(H ◦ Km) = n for any positive
integer m ≥ 1.
Proof. (i) Let V (H) = {h1, h2, . . . , hn} and V (K1) = {v}. Then {v}
is a γ- set of K1 ◦ H. Further, any γ′
-set of K1 ◦ H is a minimum
dominating set of (K1 ◦ H) − {v}, which is a γ-set of H. Hence
γ(K1 ◦ H) = 1 and γ′
(K1 ◦ H) = γ(H).
(ii) Let V (H ◦K1) = {h1, h2, . . . , hn, k1, k2, . . . , kn} where hi ∈ H
and ki is the vertex of K1 adjacent to hi for 1 ≤ i ≤ n. Since
each vertex in H ◦ K1 is either an end vertex or its support, D =
{h1, h2, . . . , hn} is a γ-set of H ◦ K1 and {k1, k2, . . . , kn} is a γ ′-set
of H ◦ K1. Thus γ(H ◦ K1) = γ ′(H ◦ K1) = |V (H)|.
(iii) Let V (H) = {h1, h2, . . . , hn} and {v1, v2, . . . , vm} be the
vertices of m copies of K1. Each vertex vi is adjacent to every
vertex of H and no two vertices in {v1, v2, . . . , vm} are adjacent.
Hence D = {h1, v1} is a γ-set of mK1 ◦ H and D′ = {h2, v2} is a
γ ′-set of mK1 ◦ H. Thus γ(mK1 ◦ H) = γ ′(mK1 ◦ H) = 2.
(iv) Let V (H ◦ Km) = {h1, h2, . . . hn} ∪ (⋃n
i=1{ki1, ki2, . . . , kim})
where hi ∈ H and kij’s are the vertices of the ith copy of Km for
1 ≤ i ≤ n and 1 ≤ j ≤ m. Note that the vertex kij dominates
the ith copy of Km and hi ∈ V (H) for i = 1 to n. Hence D =
{k1j, k2j, k3j, . . . , knj} is a dominating set of H ◦Km. Since |D| = n
and |V (H)| = n ≤ γ(H ◦ Km), D is a γ-set of G. Similarly, D′ =
2.2. BASIC RESULTS ON γ ′(G) 19
{k1p, k2p, k3p, . . . , knp} is an inverse dominating set of H ◦ Km for
j 6= p and so a γ′
-set of G. Thus γ(H ◦ Km) = γ′
(H ◦ Km) = n
where n = |V (H)|.
Theorem 2.2.2. Let G be a graph and H be any graph with γ(H)
= 1. For a positive integer k, |V (G)| ≤ γ′
(kG ◦ H) ≤ 2|V (G)|.
Proof. By Theorem 1.2.17, we have γ(kG◦H) = |V (G)| = n. Since
γ(H) = 1, there exists a γ-set Di = {hi1} of the ith copy of H for
1 ≤ i ≤ n. Then D = ∪ni=1{hi1} is a dominating set of kG◦H. Since
γ(kG ◦ H) = |V (G)|, D is a γ-set of kG ◦ H. Since γ(kG ◦ H) ≤
γ′
(kG ◦H), we have |V (G)| ≤ γ′
(kG ◦H). Now, for each i, choose
hi2 ∈ Hi, and xji ∈ Gj. Then D′ = (∪n
i=1{hi2}) ∪ (∪ni=1{x
ji}) is
an inverse dominating set with respect to D with 2|V (G)| vertices
and so γ′
(kG ◦ H) ≤ 2|V (G)|. Thus |V (G)| ≤ γ′
(kG ◦ H) ≤
2|V (G)|.
Remark 2.2.3. Theorem 2.2.2 gives an upper and lower bound for
γ′
(kG ◦H) where G is any graph, H is a graph with γ(H) = 1 and
k is a positive integer. We shall observe that both the bounds are
sharp.
Actually note that the lower bound is obtained when k = 1.
That is γ(G ◦ H) = γ′
(G ◦ H) = |V (G)|. For, when k = 1,
D = (∪ni=1{hi1}) is a γ- set of G ◦ H where {h1} is the γ- set of H.
and D′ = V (G) is an inverse dominating set of G ◦ H. Therefore
γ′
(G ◦H) ≤ |V (G)|. Also we have |V (G)| ≤ γ′
(G ◦H), and hence
γ′
(G ◦ H) = |V (G)|. Therefore we get D′ = V (G) is the γ′
- set of
G ◦ H. Hence γ(G ◦ H) = γ′
(G ◦ H) = |V (G)|.
20 CHAPTER 2. INVERSE DOMINATION NUMBER
Theorem 2.2.4. Let G and H be two connected graphs with γ′
(H)
= 1. Then γ(kG ◦ H) = γ′
(kG ◦ H) = |V (G)|.
Proof. Since γ(H) ≤ γ′
(H), we have 1 ≤ γ(H) ≤ γ′
(H) = 1,
and so γ(H) = 1. Let V (H) = {h1, h2, . . . , hm} and V (Hi) =
{hi1, hi2, . . . , him} for i = 1 to n. When D = {h1} is a γ-set of H
and D′ = {h2} is a γ′
-set of H, D = ∪ni=1{hi1} is a dominating set
of (kG ◦ H). This gives that γ(kG ◦ H) ≤ |V (G)| and by Theorem
1.2.16, we have |V (G)| ≤ γ(kG ◦H). Hence D is a γ set of kG ◦H
and D ′ = ∪ni=1{hi2} is an inverse dominating set of kG ◦ H. From
this we have, γ′
(kG ◦ H) ≤ |V (G)|. By Theorem 2.2.2, we have
|V (G)| ≤ γ′
(kG ◦ H) and hence D′ is a γ′
-set of kG ◦ H, with
|V (G)| vertices. Hence γ(kG ◦ H) = γ′
(kG ◦ H) = |V (G)|.
Theorem 2.2.5. Let n ≥ 2 and m ≥ 1. For any integer k ≥
2, γ′
(kKn ◦ K1,m) = 2|V (G)| = 2n.
Proof. Let V (Kn) = {x1, x2, . . . xn}, n ≥ 2. Let Kjn be the jth copy
of the graph Kn and V (Kjn) = {xj
1, xj2, . . . x
jn}, where xj
i corresponds
to the vertex xi ∈ V (Kn). Let V (K1,m) = {v, h1, h2, . . . hm} where v
is the vertex with d(v) = m. Note that γ(K1,m) = 1 and {v} is the
γ-set of K1,m. Suppose Di = {vi} is a γ-set of ith copy of K1,m for
1 ≤ i ≤ n. Then D = ∪ni=1{vi} is a dominating set of kKn ◦ K1,m.
By Theorem 1.2.17, γ(kG ◦ H) = |V (G)| = n. Hence D is a γ-set
of kKn ◦K1,m and so D′ = {x11, x
12, . . . x
1n}∪ (∪n
i=1{hi1}) is an inverse
dominating set of kKn ◦K1,m. By the definition of kKn ◦K1,m and
γ′
(H) 6= 1, we need at least n vertices to dominate the vertices
of the ith copy of K1,m. Since E(Gj) = ∅, we need another set
of at least n vertices to dominate the vertices of the Kjn’s. Hence
γ′
(kKn ◦ K1,m) ≥ 2n. From this D′ is a γ′
-set of kKn ◦ K1,m and
hence γ′
(kG ◦ H) = 2|V (G)| = 2n.
2.2. BASIC RESULTS ON γ ′(G) 21
Suppose D1 and D2 are γ-sets of G1 and G2 respectively. Then
D = D1 ∪D2 is a γ-set of G1 ∪G2. In view of this fact, we have the
following theorem.
Theorem 2.2.6. For any two graphs G1 and G2,
γ′
(G1 ∪ G2) = γ′
(G1) + γ′
(G2).
Proposition 2.2.7. Let G1 and G2 be two graphs and G = G1+G2.
Then γ(G) = γ ′(G) = 1, if at least one of the following holds.
(i) γ(G1) = γ(G2) = 1;
(ii) γ(G1) = γ′
(G1) = 1;
(iii) γ(G2) = γ′
(G2) = 1.
Proof. Let {u1} and {u2} be the γ-sets of G1 and G2 respectively.
Then {u1} is a γ-set of G and {u2} is the γ′
-set of G. Hence
γ(G) = γ(G) = 1. Let {u1} and {v1} be the γ and γ′
- sets of of
G1. Then {u1} is a γ-set of G and {v1} is a γ′
-set of G. Hence
γ(G) = γ ′(G) = 1. Similar is the proof for Case (iii).
Proposition 2.2.8. Let G1 and G2 be two graphs with γ(Gi) ≥ 2
for i = 1, 2. Then γ(G1 + G2) = γ ′(G1 + G2) = 2.
Proof. In G, each vertex of G1 is adjacent to every vertex of G2 and
vice versa. Hence a set containing one vertex of G1 and one vertex
of G2 is a γ-set of G and also a γ′
-set of G. Thus γ(G) = γ ′(G) =
2.
Now we have the following corollary.
Corollary 2.2.9. Let Gi be a graph with ni ≥ 2 vertices for 1 ≤
i ≤ r. Let G = G1 + G2 + · · ·Gr. Then γ(G) = γ ′(G) = 2.
22 CHAPTER 2. INVERSE DOMINATION NUMBER
Theorem 2.2.10. Let G be a complete k-partite graph with partite
sets V1, V2, . . . , Vk and |Vi| ≥ 2 for i = 1 to k. Then γ(G) =
γ ′(G) = 2.
Proof. Since |Vi| ≥ 2 for i = 1 to k, let x1, y1 ∈ V1 and x2, y2 ∈ V2.
Then D = {x1, x2} is a γ-set of G and D′ = {y1, y2} is a γ′
-set of
G. Therefore γ(G) = γ ′(G) = 2.
2.3 Bounds for γ′(G)
In this section, we given some bounds for γ′
(G). Moreover, we
prove an important result which says that γ′
(G + e) ≤ γ′
(G) for
e ∈ E(G) (refer Theorem 2.3.7). First of all, we start with a lower
bound for γ ′(G) whenever γ(G) = γ ′(G).
Theorem 2.3.1. Let G be a connected graph with n vertices, m
edges and γ(G) = γ ′(G). Then γ ′(G) ≥ 13(2n − m).
Proof. Let D be a γ-set and D′ be a γ′
-set of G. Note that every
vertex in V − (D ∪ D′) has at least one neighbor in D and one
neighbor in D′, every vertex in D has a neighbor in D′, and every
vertex in D′ has a neighbor in D. Thus the number of edges in G
is at least 2(V − (D ∪ D′)) + |D′|. That is m ≥ 2(n − 2γ′
) + γ′
and so m ≥ 2n − 3γ ′(G). Therefore γ ′(G) ≥ 13(2n − m).
Corollary 2.3.2. Let T be a tree with n vertices. Then γ′
(T ) ≥n+1
3 .
Proof. Note that T has m = n− 1 edges. Applying Theorem 2.3.1,
we get that γ′
(T ) ≥ n+13 .
2.3. BOUNDS FOR γ′
(G) 23
Proposition 2.3.3. For any (m, n) graph G, n−m ≤ γ ′(G) ≤ m.
Proof. For any (m, n) graph G, we have n − m ≤ γ(G) ≤ γ ′(G).
Also γ ′(G) ≤ n − γ(G). Thus γ ′(G) ≤ m.
Proposition 2.3.4. For any graph G,
⌈n
1 + ∆(G)⌉ ≤ γ ′(G) ≤ ⌊
n∆(G)
1 + ∆(G)⌋.
Proof. By Theorem 1.2.3, ⌈ n1+∆(G)⌉ ≤ γ(G) ≤ γ ′(G). On the other
hand γ ′(G) ≤ n − γ(G). These imply that γ ′(G) ≤ ⌊ n∆(G)1+∆(G)⌋.
Proposition 2.3.5. Let G be a graph with (d1, d2, . . . dn) and di ≥
di+1 for 1 ≤ i ≤ n. Then γ ′(G) ≤ max {n− k : k + (d1 + d2 + . . . +
dk) ≥ n}.
Proof. Let G be a graph with degree sequence (d1, d2, . . . dn) with
di ≥ di+1 for 1 ≤ i ≤ n. Then by Theorem 2.12 [23], we have γ(G) ≥
min {k : k + (d1 + d2 + . . . + dn) ≥ n}. Now γ ′(G) ≤ n − γ(G)
implies that γ ′(G) ≤ max {n−k : k +(d1 +d2 + . . .+dk) ≥ n}.
Theorem 2.3.6. Let G be a graph and uv = e ∈ E(G). If γ(G +
e) < γ(G), then there exists a γ-set D of G containing both u and
v such that at least one of them has no private neighbor other than
itself.
Proof. Assume that there exists no γ-set G containing both u and
v. Let D be a γ-set such that u /∈ D. Then there exists a vertex
u1 ∈ N(u) which has a private neighbor other than u that lies in
D to dominate u. Hence u1 lies in a γ-set of G + e also. Therefore
24 CHAPTER 2. INVERSE DOMINATION NUMBER
γ(G + e) is in no way smaller than γ(G), which is a contradiction.
Hence there exists a γ-set containing both u and v.
Suppose both of them have a private neighbor other than itself
with respect to any γ-set D, then neither D−{u} nor D−{v} is a γ-
set of G+e. Also no set with fewer than γ(G) elements can dominate
G + e. Therefore γ(G + e) ≥ γ(G), which is a contradiction.
Theorem 2.3.7. Let G be a graph and uv = e ∈ E(G). Then
γ′
(G + e) ≤ γ ′(G).
Proof. Let D be a γ-set and D′ be a γ′
-set of G with respect to D.
Then γ(G + e) ≤ γ(G) for any e ∈ E(G).
Case 1. Let uv = e ∈ E(G) be such that γ(G + e) = γ(G).
Then D is a γ-set of G + e. Hence D′ is an inverse dominating set
of G + e with respect to D. Therefore γ′
(G + e) ≤ |D′| = γ ′(G).
Case 2. Let xy = e ∈ E(G) be such that γ(G + e) < γ(G).
Then by Theorem 2.3.6, there exists a γ-set D of G containing both
x and y such that at least one of them, say x, has no private neighbor
other than itself. Note that D1 = D − {x} is a γ-set of G + e and
D1′
= D′ is an inverse dominating set of G + e with respect to D1.
Therefore γ′
(G + e) ≤ |D′| = γ ′(G).
Remark 2.3.8. (i). Let uv = e ∈ E(G). Then γ ′(G) ≤ γ′
(G− e).
(ii). Let H be a spanning sub-graph of a graph G. Then γ ′(G) ≤
γ′
(H).
Proposition 2.3.9. Let G be a Hamiltonian graph on n vertices.
Then γ ′(G) ≤ ⌈n3⌉.
2.4. GRAPHS WITH γ(G) = γ′
(G) =⌊
N
2
⌋
25
Proof. Let G be Hamiltonian. Then G contains a spanning cycle
say Cn. By Theorem 2.1.8, we have γ(Cn) = γ′
(Cn) = ⌈n3⌉. By
Remark 2.3.8, we have γ ′(G) ≤ γ′
(Cn) = ⌈n3⌉.
Corollary 2.3.10. Let G be a graph on n ≥ 3 vertices. If δ(G) ≥ n2 ,
then γ ′(G) ≤ ⌈n3⌉.
Proof. Let G be a connected graph on n ≥ 3 vertices. If δ(G) ≥ n2 ,
then by Theorem 4.3 [5], we have G is Hamiltonian and thus by
Remark 2.3.8, γ ′(G) ≤ ⌈n3⌉.
Corollary 2.3.11. Let G be a connected graph on n ≥ 3 vertices.
If C(G) is complete, then γ ′(G) ≤ ⌈n3⌉.
Proof. Let G be a connected graph on n ≥ 3 vertices. If C(G)
is complete, then by Corollary 4.4[5], G is Hamiltonian. By Re-
mark 2.3.8, γ ′(G) ≤ ⌈n3⌉.
Proposition 2.3.12. For any graph G with no isolated vertices,
γ ′(G) ≤ ǫf(G), where ǫf(G) denotes the maximum number of pen-
dant edges in a spanning forest of G.
Proof. By Theorem 1.2.4, γ(G) + ǫf(G) = n for any graph G. Thus
ǫf(G) = n − γ(G) ≥ γ ′(G).
2.4 Graphs with γ(G) = γ′(G) =
⌊
n2
⌋
In this section, we present the characterization of graphs for which
γ(G) = γ′
(G) =⌊
n2
⌋
. First of all, we present characterization of
graphs with γ(G) = γ′
(G) = n2 . Recall that T.W Haynes et al. [23]
have characterized the class of graphs with γ(G) = n2 .
26 CHAPTER 2. INVERSE DOMINATION NUMBER
Theorem 2.4.1. Let G be a connected graph with n vertices. As-
sume that n is even and δ(G) = 1. Then γ(G) = γ ′(G) = n2 if and
only if G = H ◦ K1 for some connected graph H on n2 vertices.
Proof. Let G = H ◦K1, where H is a connected graph on n2 vertices.
Then trivially V (H) is a γ-set for G and hence γ(G) = n2 . Note that
the set of all pendant vertices in G forms an inverse dominating set
of G with minimum cardinality. Hence γ′
(G) = n2 .
On the converse, assume that γ(G) = γ′
(G) = n2 . Let L = {v :
d(v) = 1}. Since δ(G) = 1, we get that L 6= ∅ and let S = N(L).
Since γ(G) + γ′
(G) = n, by Theorem 1.2.8, we have (i) V − S
independent and (ii) for every x ∈ V − (S ∪L), each vertex in N(x)
is adjacent to at least two pendant vertices.
Let S1 be the set of all vertices in S, which are adjacent to exactly
one pendant vertex in L and let S2 = S − S1.
Case 1. Assume that V − (S ∪ L) = ∅. Then every vertex of
G is either a pendant vertex or adjacent to a pendant vertex. Thus
S is a dominating set of G and no set with fewer than |S| elements
can dominate S. Also |S| ≤ |L|. Hence S is a γ-set of G. Since
γ(G) = γ ′(G) = n2 , we have |S| = n
2 and |L| = n2 . Hence each
vertex of S is adjacent to exactly one pendant vertex of L. Take
H = 〈S〉. Then G = H ◦ K1.
Case 2. Assume that V − (S∪L) 6= ∅. Let N1 = N(S)− (S∪L)
and N2 = V − (N1 ∪ (S ∪ L)).
Claim 1. N2 = ∅. By Theorem 1.2.8, we have V − S is inde-
pendent. Hence every vertex of G is either in S or adjacent to some
vertex in S. Hence there is no vertex in N2 and so S is a γ-set of
G.
2.4. GRAPHS WITH γ(G) = γ′
(G) =⌊
N
2
⌋
27
Claim 2. N1 = ∅. For let L1 = N(S1) ∩ L and L2 = N(S2) ∩ L.
Then |S1| = |L1| and |S2| < |L2|. If N1 6= ∅, by Theorem 1.2.8,
for each x ∈ N1, each stem in N(x) is adjacent to at least two
pendant vertices. Suppose S2 6= ∅. Since S is a γ-set and V − S is
a γ′
-set, we have L is contained a γ′
-set with |L| > |S|. This is a
contradiction to γ(G) = γ ′(G). Hence S2 = ∅ and N1 = ∅. Thus
V − (S ∪L) = ∅. Hence by Case (i) we get that G = H ◦K1 where
H = 〈S〉.
Theorem 2.4.2. For a connected graph G with even number of
vertices n and δ(G) ≥ 2, γ(G) = γ′
(G) = n2 if and only if G = C4.
Proof. When G = C4, trivially we have γ(G) = γ′
(G) = n2 .
Conversely assume that γ(G) = γ′
(G) = n2 . Then γ(G) +
γ ′(G) = n as n is even. Since G is a graph with δ(G) ≥ 2, by
Theorem 1.2.7, G is nothing but C4.
Remark 2.4.3. Let G1, G2, . . . Gk be the k connected components
of a graph G. Let D1, D2, . . . Dk be γ-sets and D′
1, D′
2, . . . D′
k be
γ′
-sets of G1, G2, . . . , Gk. Then D1∪D2∪. . .∪Dk is a γ-set of G and
D1′
∪D2′
∪ . . .∪Dk′
is a γ′
-set of G. Therefore γ(G) =∑k
i=1 γ(Gi)
and γ ′(G) =∑k
i=1 γ′
(Gi).
Proposition 2.4.4. Let G1, G2, . . . , Gk be the k connected compo-
nents of a graph G. Then γ(G) = γ′
(G) if and only if γ(Gi) =
γ′
(Gi) for i = 1 to k.
Proof. Let G1, G2, . . . , Gk be the k connected components of G.
Then we have γ(G) =∑k
i=1 γ(Gi) and γ ′(G) =∑k
i=1 γ′
(Gi). Thus
trivially, γ(G) = γ′
(G) if γ(Gi) = γ′
(Gi) for i = 1 to k.
28 CHAPTER 2. INVERSE DOMINATION NUMBER
Conversely assume that γ(G) = γ′
(G). We have γ(Gi) ≤ γ′
(Gi)
for i = 1 to k. Suppose γ(Gi) < γ′
(Gi) for some i, then we must
have γ(Gj) > γ′
(Gj) for some j 6= i, which is impossible. Hence
γ(Gi) = γ′
(Gi) for i = 1 to k.
Corollary 2.4.5. Let G be a graph with n vertices with connected
components G1, G2, . . . , Gk and |V (Gi)| = ni for 1 ≤ i ≤ k. Then
γ(G) = γ′
(G) =⌊
n2
⌋
if and only if γ(Gi) = γ′
(Gi) =⌊
ni
2
⌋
for
i = 1, 2, . . . , k. In particular, n is even if and only if each ni is
even.
Proof. First assertion follows from Proposition 2.4.4.
Let n be even. Since γ(G) = γ′
(G) =⌊
n2
⌋
, we have γ(G) +
γ′
(G) = n and so we must have γ(Gi) + γ′
(Gi) = ni and γ(Gi) =
γ′
(Gi) =⌊
ni
2
⌋
, for each i. This implies that each ni must be even.
Conversely if each ni is even, then n is even.
Corollary 2.4.6. Let G be a graph with even number of vertices
and no isolated vertices. Then γ(G) = γ ′(G) = n2 if and only if the
connected components Gi of G are either the cycle C4 or the corona
Gi = Hi ◦ K1 for some connected graph Hi.
Proof. Assume that γ(G) = γ ′(G) = n2 . Let G1, G2, . . . Gk be the
connected components of G and |V (Gi)| = ni for 1 ≤ i ≤ k. Since
n is even and γ(G) = γ ′(G) = n2 , in view of Corollary 2.4.5, we
get γ(Gi) = γ′
(Gi) = ni
2 for each i. Now by Theorems 2.4.1 and
2.4.2, we see that γ(G) = γ ′(G) if and only if the components Gi
of G are either the cycle C4 or the corona Gi = Hi ◦ K1 for some
connected graph Hi.
2.4. GRAPHS WITH γ(G) = γ′
(G) =⌊
N
2
⌋
29
Figure 2.1: Class A
Figure 2.2: Class B
Remark 2.4.7. Let G be a graph with even number of vertices, no
isolated vertices and γ(G) = γ ′(G) = n2 . Then the components of
Gi of G, with δ(Gi) ≥ 2 are the cycle C4 and the components Gi of
G, with δ(Gi) = 1 are the corona Gi = Hi ◦ K1 for some connected
graph Hi.
We now turn our attention to graphs G with γ(G) = γ ′(G) =n−1
2 . We give the complete characterization of graphs which satisfy
the above condition. Let A be the set of all graphs given in Fig-
ure 2.1. Let B be the set of all graphs given in Figure 2.2. Let
Q1 = A ∪ B. For any graph H, let S(H) denotes the set of all
connected graphs, each of which can be formed from H ◦ K1 by
adding a new vertex x and edges joining x to two or more vertices
of H. Then define Q2 =⋃
H S(H) where the union is taken over all
graphs H. The graphs in Q2 are of the form given in Figure 2.3.
30 CHAPTER 2. INVERSE DOMINATION NUMBER
Figure 2.3: Class Q2
Figure 2.4: Class Q3
Consider a new vertex a and a copy of C4. For a graph G ∈ Q2,
let θ(G) be the graph obtained by joining G to C4 with the single
edge xa where x is the new vertex added in forming G. Then define
Q3 = {θ(G)/G ∈ Q2}. The graphs in Q3 are of the form given in
Figure 2.4.
Let u, v, w be a vertex sequence of the path P3. For any graph
H, let P (H) be the set of all connected graphs which are formed
from H ◦ K1 by joining each of u and w to one or more vertices of
H. Then define Q4 =⋃
H P (H). Any graph in Q4 is of the form
given in Figure 2.5.
Figure 2.5: Class Q4
2.4. GRAPHS WITH γ(G) = γ′
(G) =⌊
N
2
⌋
31
Figure 2.6: Class Q5
Let H be a graph and X ∈ B. Let R(H, X) be the set of con-
nected graphs which may be formed from H ◦ K1 by joining each
vertex of U ⊆ V (X) to one or more vertices of H such a way that
no set with fewer than γ(X) vertices of X dominates V (X) − U .
Then define Q5 = ∪H,XR(H, X). Any graph G in Q5 is of the form
given in Figure 2.6.
Lemma 2.4.8. For all graphs G in Q1, Q2, Q3, Q4, Q5, we have
γ(G) = γ ′(G) = n−12 .
Proof. D = {1, 3, 6} and D′ = {2, 5, 7} form the γ-set and γ′
-set
respectively for all the graphs in A with n−12 vertices each. For C3
in B, the set D = {1} and D′ = {2} are the γ and γ′
-sets withn−1
2 vertices each. D = {1, 4} and D′ = {3, 5} are the γ and γ′
-sets for all the other graphs in B with n−12 vertices each. Thus
γ(G) = γ ′(G) = n−12 for all the graphs in Q1.
Consider the class Q2 and let G ∈ Q2. Let x be adjacent to y
and z in H. Now, y and z are adjacent to the pendant vertices
y1 and z1 respectively. Since there are n−12 pendant vertices, which
are adjacent to distinct n−12 vertices of H, any γ-set of G contains
at least n−12 vertices. Further, the set D = V (H) ∪ {y1} − {y} is
a dominating set containing n−12 elements and hence it is a γ-set.
D′ = V (G)−D ∪{x} is a dominating set in V −D, containing n−12
32 CHAPTER 2. INVERSE DOMINATION NUMBER
vertices. Hence D′ is a γ′
-set and thus γ(G) = γ ′(G) = n−12 for all
G ∈ Q2.
Similarly D = V (H)∪{b, d} is a γ-set and D′ = V (G)−(D∪{x})
is a γ′
-set for G ∈ Q3. Thus, γ(G) = γ ′(G) = n−12 for all G ∈ Q3.
Again D = V (H) ∪ {u} is a γ-set with n−12 vertices and D′ =
V (G) − (D ∪ {w}) is a γ′
-set containing n−12 vertices. Thus γ =
γ′
= n−12 for all G ∈ Q4.
Let |V (H)| = m and |V (X)| = p. Then |V (R(H, X))| = 2m +
p = n. Let DX and D′X be the γ-set and γ
′
- set of the graph
X respectively. Then D = V (H) ∪ DX is a dominating set and
no set with fewer vertices dominates G and hence D is a γ-set.
D′ = D′X together with all the pendant vertices forms a γ′-set of
R(H, X). Hence |D| = m + p−12 = 2m+p−1
2 = n−12 and similarly
|D′| = n−12 . Hence γ(G) = γ ′(G) = n−1
2 for all G ∈ Q5. Thus
γ(G) = γ ′(G) = n−12 for all graphs in G = ∪5
i=1Qi.
Remark 2.4.9. Note that the classes of graphs Q1, Q3, Q4 and Q5
are the same as the classes of graphs G2, G4, G5 and G6 respectively
and Q2 is a subclass of the class G3 given in Theorem 1.2.15.
Theorem 2.4.10. A connected graph G with n vertices satisfies
γ(G) = γ′
(G) = n−12 if and only if G ∈ Q = ∪5
i=1Qi.
Proof. Let G ∈ Q = ∪5i=1Qi. By Lemma 2.4.8, γ(G) = γ ′(G) =
n−12 . Conversely, suppose that γ(G) = γ ′(G) = n−1
2 . Note that n
is odd. Now by Theorem 1.2.15, G ∈ G = ∪6i=1Gi. Since n is odd,
G cannot be in G1. In view of Remark 2.4.9, G ∈ Q1 or Q3 or Q4
or Q5 and G ∈ G3. It is enough to prove that whenever G ∈ G3,
we get G ∈ Q2. If G ∈ Q3, let S be the set of end vertices in G
and T be the set of neighbors of vertices in S. If |T | = t, then by
2.4. GRAPHS WITH γ(G) = γ′
(G) =⌊
N
2
⌋
33
Lemma 1.2.14, |S| = t or |S| = t + 1. Hence there is a γ-set of G
containing T . Let G′
= G − (S ∪ T ).
Case 1. If |S| = t + 1, then one can show that G′ = ∅ as in
the course of proof of Theorem 1.2.15. Hence we get γ = t and
γ′
= t + 1, a contradiction. Therefore |S| 6= t + 1.
Case 2. If |S| = t, then either G′
contains isolated vertices or
G′ contains no isolated vertices.
Sub Case 2.1. If G′
contains isolated vertices, then let y be an
isolated vertex of G′. As in the proof of Theorem 1.2.15, one can
prove that G′
− y is empty. Since y is not a pendant vertex of G,
y is adjacent to two or more vertices of T . Hence G ∈ Q2.
Sub Case 2.2. If G′
contains no isolated vertices, then as in the
above mentioned proof G /∈ Q3. If G ∈ G4 then G ∈ Q3. If G ∈ G5
then G ∈ Q4. If G ∈ G6, then G ∈ Q5. Thus G ∈ ∪5i=1Qi.
Corollary 2.4.11. Let G be a graph with odd order n and δ(G) = 1.
Then γ(G) = γ ′(G)= n−12 if and only if the components Gi of G
are either C4 or Gi = Hi ◦K1 for some connected graph Hi together
with exactly one component Gj ∈ ∪5i=1Qi.
Proof. Suppose that the connected components Gi of G are either
the cycle C4 or the corona Gi = Hi ◦ K1 for some connected graph
Hi together with exactly one component of Gj ∈ ∪5i=1Qi. Then
by Corollary 2.4.6, Remark 2.4.7 and Lemma 2.4.8, we get that
γ(G) = γ ′(G) = n−12 .
Conversely assume that γ(G) = γ ′(G) = n−12 . Let G1, . . . , Gk
be the connected components of G and |V (Gi)| = ni. Since γ(G) =
γ ′(G) = n−12 , we see that γ(G) + γ ′(G) = n − 1 and that there is
34 CHAPTER 2. INVERSE DOMINATION NUMBER
exactly one vertex which is neither in the γ -set nor in the γ′
-set of
G. Since n is odd, there exists at least one component say Gk such
that nk is odd. In view of Proposition 2.4.4, and nk being odd, we
get that γ(Gk) = γ′
(Gk) = nk−12 and in the component Gk, there is
one vertex which is neither in the γ-set nor in the γ′
- set of G.
Suppose that there exists an odd component say Gt. Then we get
one more vertex which is neither in the γ-set nor in the γ′
-set of G,
which leaves at least two vertices that are neither in the γ-set nor in
the γ′
-set of G, a contradiction. Hence we see that each nj is even
for j 6= k. Then γ(Gk) = γ′
(Gk) = nk−12 and γ(Gj) = γ
′
(Gj) =nj
2 ,
for j 6= k. Thus by Corollary 2.4.6, the even components Gj, j 6= i
are the cycle C4 or the corona H ◦K1. Moreover by Theorem 2.4.10,
the only odd component is one of the graphs in ∪5i=1Qi. That is, we
get Gj ∈ ∪5i=1Qi. Hence the components of G are the cycle C4 or
the corona G = H ◦ K1 for any connected graph H together with
exactly one component Gj ∈ ∪5i=1Qi.
Remark 2.4.12. Let G be a graph with odd number of vertices
and no isolated vertices. Let γ(G) = γ ′(G) = n−12 with δ(G) ≥ 2.
Then the components of G are the cycle C4 together with exactly
one component Gj where Gj ∈ Q1.
Chapter 3
Sum of γ and γ ′
In this chapter, we deal about results concerning sum of domination
and inverse domination numbers. A Gallai-type theorem has the
from α(G)+β(G) = n, where α(G) and β(G) are parameters defined
on the graph G and n is the number of vertices in G. E. J. Cockayne
et al. [9] proved certain Gallai-type theorems for graphs. In the year
1996, E. J. Cockayne et al. characterized graphs with δ(G) ≥ 2 and
γ(G) = ⌊n2⌋. Since then E. J. Cockayne et al. [10] and B. Randerath
et al. [34] independently characterized all graphs satisfying γ(G) =⌊
n2
⌋
. Next in the year 2003, G. S. Domke et al. [14] characterized
graphs for which γ(G) + γ ′(G) = n. Also note that in chapter 3,
we characterized graphs with γ(G) = γ ′(G) = n−12 where n is an
odd positive integer. In this chapter, we characterize all graphs G
with δ(G) ≥ 2 for which γ(G) + γ ′(G) = n − 1.
In analogous to the inverse domination number, S. M. Hedet-
niemi et al. [25] defined and studied the disjoint domination num-
ber γγ(G) of a graph G. A pair (D1, D2) of disjoint sets of ver-
tices D1, D2 ⊆ V is said to dominate a vertex u ∈ V , if D1 and
D2 dominate u. Further (D1, D2) is a dominating pair, if (D1, D2)
dominates all vertices in V . The total cardinality of a pair (D1, D2)
35
36 CHAPTER 3. SUM OF γ AND γ ′
is |D1| + |D2| and the minimum cardinality of a dominating pair is
the disjoint domination number γγ(G) of G. As mentioned earlier,
by Ore’s observation, γγ(G) ≤ |V (G)| for every graph G without
isolated vertices and S. M. Hedetniemi et al. characterized all the
extremal graphs for this bound. In this connection, the existence
of two disjoint minimum dominating sets in trees was first studied
by D. W. Bange et al. [3]. In a related paper, T. W. Haynes and
M. A. Henning [24] studied the existence of two disjoint minimum
independent dominating sets in a tree.
Another application of finding two disjoint γ-sets is the one in
respect of networks. In any network (or graphs), dominating sets are
central sets and they play a vital role in routing problems in parallel
computing [29]. Also finding efficient dominating sets is always
concerned in finding optimal central sets in networks [12]. Suppose
S is a γ-set in a graph (or network) G, when the network fails in
some nodes in S, the inverse dominating set in V −S will take care
of the role of S. In this aspect, it is worthwhile to concentrate on
dominating and inverse dominating sets. Note that γ ′(G) ≥ γ(G).
From the point of networks, one may demand γ ′(G) = γ(G), where
as many graphs do not enjoy such a property. For example consider
the star graph K1,n. Clearly γ(K1,n) = 1 where as γ ′(K1,n) = n.
Suppose if we consider the graph G = K1,n2K2 with n ≥ 3, then
γ(G) = 2 and γ ′(G) = n. In both the cases if n is large, then γ ′(G)
is sufficiently large when compared to γ(G).
In this chapter we characterize all graphs G with δ(G) ≥ 2 for
which γ(G)+γ ′(G) = n−1. In this regard, it may be possible that
γ ′(G) is larger than γ(G) and γ(G)+γ ′(G) = n−1. But we prove
that graphs G with γ(G) + γ ′(G) = n − 1 are having exactly two
3.1. GRAPHS WITH δ ≥ 2 AND γ + γ ′ = N − 1 37
disjoint minimum dominating sets. Let us first recall, the following
characterizations of graphs for which γ(G) + γ ′(G) = n.
Theorem 3.0.13. [14, Theorem 2] Let G be a connected graph on
n vertices with δ(G) ≥ 2. Then γ(G) + γ ′(G) = n if and only if
G = C4.
Theorem 3.0.14. [14, Theorem 3] Let G be a connected graph on
n vertices with n ≥ 1 and δ(G) = 1. Let L ⊆ V be the set of all
degree one vertices and S = N(L). Then γ(G) + γ ′(G) = n if and
only if the following two conditions hold:
(i) V − S is an independent set and
(ii) for every vertex x ∈ V − (S ∪ L), every stem in N(x) is
adjacent to at least two leaves.
3.1 Graphs with δ ≥ 2 and γ + γ ′ = n − 1
Tamizh Chelvam and Grace Prema [35] characterized graphs for
which γ(G) = γ ′(G) = n−12 . In this context, we attempt to charac-
terize graphs G with δ(G) ≥ 2 for which γ(G) + γ ′(G) = n− 1. To
attain this aim, we first present the theorem which is useful in the
further discussion. To prove the following theorem we prefer case
by case analysis, since no better proof technique is available.
Theorem 3.1.1. Let G be a connected graph on n vertices with
δ(G) ≥ 2 and γ(G) + γ ′(G) = n − 1. Then γ(G) = γ ′(G).
Proof. Let D be a γ-set of G and D′ be a γ ′-set of G with respect
to D. Note that γ(G) ≤ γ ′(G). Assume that γ(G)+γ ′(G) = n−1
and let V (G) − (D ∪ D′) = {w}. Let S ⊆ D be those vertices that
38 CHAPTER 3. SUM OF γ AND γ ′
are adjacent to more than one vertex in D′. Suppose γ(G) < γ ′(G).
Then |D| < |D′| and so S 6= ∅. Let S ′ = N(S) ∩ D′.
Claim 1. There is at most one vertex in S ′ which is adjacent to
a vertex in D − S.
Suppose not, there exist at least two vertices t′, r′ in S ′ and
t, r ∈ D − S such that t′ is adjacent to t and r′ is adjacent to r.
Then either both t, r ∈ D − S are adjacent to w or at least one of
t, r is not adjacent to w.
Suppose both t, r ∈ D − S are adjacent to w. Since t′, r′ are the
only vertices in V (G)−(D∪{w}) which are adjacent to t, r and t′, r′
are dominated by some vertices in S, D1 = D ∪ {w} − {t, r} ⊂ D
is a dominating set of G which is a contradiction to the fact that D
is a γ-set of G.
Suppose at least one of them, say t, is not adjacent to w. Since
t ∈ D−S and δ(G) ≥ 2, t is adjacent to a vertex u in D. Therefore
D1 = D − {t} is a dominating set of G which is a contradiction to
the fact that D is a γ-set of G. Hence, at most one vertex t′ ∈ S ′
which is adjacent to a vertex in D − S. By similar argument as
given above, one can prove that t′ is adjacent to exactly one vertex
in D − S. Let us take
S ′1 =
S ′ − {t′} if t′ exists
S ′ otherwise
Note that each vertex in S has at least two neighbors in S ′ and
so S ′1 6= ∅.
Claim 2. S ′1 is independent.
Suppose there exists a vertex x′ ∈ S ′1 which is adjacent to y′ ∈ S ′
1.
Suppose w is not adjacent to both x′ and y′. By the fact that each
3.1. GRAPHS WITH δ ≥ 2 AND γ + γ ′ = N − 1 39
vertex in S has at least two neighbors in D′ and Claim 1, D′−{x′}
is a γ ′-set of G, a contradiction. If w is adjacent to one of x′ or
y′, say x′, then D′ − {y′} is a γ ′-set of G which is a contradiction.
Hence S ′1 is independent.
Now we have the following three possibilities.
1. w is not adjacent to any of the vertices in S ′1.
2. w is adjacent to exactly one vertex in S ′1.
3. w is adjacent to more than one vertex in S ′1.
Case 1. Suppose w is not adjacent to any of the vertices of S ′1.
If there exists x′ ∈ S ′1 which is adjacent to a vertex in D′−S ′
1, then
D′ −{x′} is a γ ′-set with respect to D, a contradiction. Therefore,
Claim 2 along with δ(G) ≥ 2 together imply that each vertex in S ′1
has at least two neighbors in S.
Suppose there exists a vertex x ∈ S which is adjacent to y ∈ S,
then as in the proof of Claim 2, we get that either D − {x} or
D − {y} is a γ-set of G, a contradiction. Thus S is independent.
Case 1.1. Suppose there exists a pair of vertices u, v ∈ S such
that NS′
1(u) ∩ NS′
1(v) = {u′} for some u′ ∈ S ′
1.
Case 1.1.1. If w is adjacent to a vertex in D − {u, v}, then by
the assumption in Case 1.1, the vertices in S ′1 −{u′}, dominated by
either u or v, are also adjacent to some vertex in S − {u, v} and so
D − {u, v} ∪ {u′} is a γ-set of G which is a contradiction.
Case 1.1.2. If w is adjacent to one of u or v, say u, and let
u′ 6= v′ ∈ NS′
1(v). Note that by assumption in Case 1, w is not
adjacent to u′ as well as v′.
If x ∈ S with NS′
1(x) = {u′, v′}. Suppose there exists no vertex in
S ′1−{u′, v′} which is adjacent to only v and x, then D−{v, x}∪{v′} is
a γ-set of G, which is a contradiction. If there exists x′ ∈ S ′1−{u′, v′}
such that NS(x′) = {v, x}, then D1 = D − {v} ∪ {v′} is a γ-set of
40 CHAPTER 3. SUM OF γ AND γ ′
G and D′1 = D′ − {v′, x′} ∪ {v} is a γ ′-set of G with respect to
D1, a contradiction. If there exists y ∈ S − {u, v, x} such that y is
adjacent to v′ and x′ only, then by similar argument one can get a
contradiction in all the cases.
If there is no vertex x ∈ S such that NS′
1(x) = {u′, v′}, then
by Claim 2, D1 = D − {v} ∪ {v′} is a γ-set of G and so D′1 =
D − {u′, v′} ∪ {v} is a γ ′-set of G which is a contradiction.
Case 1.2. Suppose, for each pair of vertices x, y ∈ S, there exist
at least two vertices x′, y′ ∈ S ′1 such that {x′, y′} ⊆ NS′
1(x)∩NS′
1(y).
Case 1.2.1. Suppose, for some u′, v′ ∈ S ′1, there exists at most
one vertex u ∈ S such that NS(u′)∩NS(v′) = {u}. If w is adjacent
to a vertex in D − {u}, then D1 = D − {u} ∪ {u′} is a γ-set and
so D′1 = D′ − {u′, v′} ∪ {u} is a γ ′-set of G, a contradiction. If
ND(w) = {u}, then D1 = D − {u} ∪ {w} is a γ-set and so D′1 =
D′ − {u′, v′} ∪ {u} is a γ ′-set of G, a contradiction.
Case 1.2.2. Suppose, for each pair of vertices x′, y′ ∈ S ′1, there
exist at least two vertices x, y ∈ S such that {x, y} ⊆ NS(x′) ∩
NS(y′). Note that |S| ≥ 2 and |S ′1| ≥ 2. Assume that |S| = k and
S = {u1, u2, . . . , uk}. If w is adjacent to some vertex in S, say u1.
By the assumption in Case 1.2, there exist u2 ∈ S and u′1, u
′2 ∈ S ′
1
such that < {u1, u2, u′1, u
′2} >= K2,2 as S and S ′
1 are independent.
Assume that |S| = k ≥ 3. Suppose NS′
1(u3) = {u′
1, u′2}. Since u′
2
dominates both u2, u3 and u′1, u
′2 are the vertices dominated by u2
and u3, D1 = D − {u3, u2} ∪ {u′2} is a γ-set of G, a contradiction.
Thus u3 is adjacent to a vertex in S − {u′1, u
′2}, say u′
3. Suppose
NS(u′3) ⊆ {u1, u2, u3}. Since each pair of vertices in S has at least
two neighbors, we have D1 = D − {u2} ∪ {u′2} as a γ-set and D′
1 =
D′ − {u′2, u
′3} ∪ {u2} as a γ ′-set of G, a contradiction. Thus u′
3 is
adjacent to some vertex in S − {u1, u2, u3}, say u4. Proceeding like
3.1. GRAPHS WITH δ ≥ 2 AND γ + γ ′ = N − 1 41
this up to uk and let u′k ∈ NS′
1(uk). If NS(u′
k) ⊆ S, then D1 =
D−{uk−1}∪{u′k−1} is a γ-set and so D′
1 = D′−{u′k−1, u
′k}∪{uk−1}
is a γ ′-set of G, a contradiction. Hence u′k is adjacent to at least
one vertex in S − {u1, . . . , uk} = ∅ which is not possible.
Let |S| = k = 2. If |S ′1| ≥ 3, then u′
3 is adjacent to u1 and
u2 only. Therefore D1 = D − {u2} ∪ {u′2} is a γ-set and D′
1 =
D′ − {u′2, u
′3} ∪ {u2} is a γ ′-set of G, a contradiction. If |S ′
1| = 2,
then D = D′, which is a contradiction.
Case 2. Suppose w is adjacent to exactly one vertex x′ ∈ S ′1.
If u′ ∈ S ′1 − {x′} is adjacent to a vertex in D′, then D′ − {u′} is a
γ ′-set of G, a contradiction. Thus every vertex in S ′1 − {x′} has at
least two neighbors in S.
If |S ′1| ≥ 3, then as in case 1, replace S ′
1 by S ′1 − {x′}, we get
contradiction in all the possibilities.
Let |S ′1| = 2 and S ′
1 = {x′, y′}. Since y′ has at least two neighbors
in S, |S| ≥ 2 and so |S| ≥ |S ′1| which is contradiction to |D| < |D′|.
If |S ′1| = 1, then since |D| < |D′|, S = ∅, a contradiction to
S 6= ∅.
Case 3. Suppose w is adjacent to more than one vertex in S ′1,
say u′, v′ ∈ S ′1. If no vertex in S is adjacent to only u′, v′, then
D′ − {u′, v′} ∪ {w} is a γ-set of G, a contradiction. Thus there
exists a vertex u ∈ S such that NS′
1(u) = {u′, v′}. If w is adjacent
to u, then D1 = D−{u}∪{w} is a γ-set and D′1 = D′−{u′, v′}∪{u}
is a γ ′-set of G, a contradiction. Now let u 6= x ∈ ND(w) and let
x′ ∈ ND′(x).
Suppose there exists y ∈ D − {x} such that y ∈ N(x′). Suppose
there exists z ∈ D − {u, x} such that ND′(z) ⊆ {u′, v′, x′}. Then
D − {u, z} ∪ {u′} is a γ-set of G, a contradiction. Otherwise, D1 =
42 CHAPTER 3. SUM OF γ AND γ ′
D − {u, x} ∪ {u′, w} is a γ-set and D′1 = D′ − {u′, v′, x′} ∪ {x, u} is
a γ ′-set of G, a contradiction.
Suppose ND(x′) = {x}. If x′ is adjacent to w, then D′−{u′, x′}∪
{w} is a γ ′-set of G. If x′ is not adjacent to w, then as δ(G) ≥ 2,
x′ is adjacent to at least one vertex, say y′ ∈ D′. Since x′ ∈ N(y′),
x, u′ ∈ N(w) and ND(x′) = {x}, we get D′ − {u′, x′} ∪ {w} is a
γ ′-set of G which is a contradiction.
Hence γ(G) = γ ′(G).
D.W. Bange et al. [3] characterized trees with two disjoint mini-
mum dominating sets. In the following corollary, we give the neces-
sary condition for graphs with minimum degree at least two having
two disjoint minimum dominating sets.
Corollary 3.1.2. Let G be a connected graph on n vertices with
δ(G) ≥ 2. If γ(G) + γ ′(G) = n− 1, then G has two disjoint γ-sets.
The following example shows that, in general Theorem 3.1.1 is
not true whenever δ(G) = 1.
Example 3.1.3. (i) Consider the graph P6, the path on 6 vertices.
Then γ(P6) = 2 and γ ′(P6) = 3. Therefore γ(P6) + γ ′(P6) = 5 but
γ(P6) 6= γ ′(P6).
(ii) Consider the graph G in Figure 3.1. Clearly, γ(G) = 3
and γ ′(G) = 4. Therefore γ(G) + γ ′(G) = 7 = n − 1 whereas
γ(G) 6= γ ′(G).
Lemma 3.1.4. Let G be a connected graph with δ(G) ≥ 2. Then
γ(G) + γ ′(G) = n − 1 if and only if γ(G) = γ ′(G) = ⌊n2⌋ and n is
odd.
3.1. GRAPHS WITH δ ≥ 2 AND γ + γ ′ = N − 1 43
84
2
6
7
1
5
3
Figure 3.1: Graph with γ < γ ′ and γ + γ ′ = n − 1
Proof. If γ(G) + γ′
(G) = n − 1, then by Theorem 3.1.1, γ(G) =
γ ′(G). Therefore γ(G) = γ ′(G) = n−12 and hence n is odd. Con-
versely, assume that γ(G) = γ ′(G) = ⌊n2⌋ and n is odd. Since n is
an odd integer, we get γ(G) + γ ′(G) = n − 1.
Let C and D be the families of graphs given in Figures 3.2 and
3.3 respectively.
H1 H2 H3
H4 H5 H6
Figure 3.2: Graphs in family C
Note that, the class C is a subclass of the class A and the class D
is same as the class B where A and B are classes given in Theorem
2.6 [23, p-45].
The next theorem characterizes all connected graphs G with
δ(G) ≥ 2 for which γ(G) + γ ′(G) = n − 1. By Lemma 3.1.4
44 CHAPTER 3. SUM OF γ AND γ ′
H7 H8 H9 H10 H11
Figure 3.3: Graphs in family D
and Lemma 2.4 [23], we get the main theorem of this chapter.
Theorem 3.1.5. Let G be a connected graph with δ(G) ≥ 2. Then
γ(G) + γ ′(G) = n − 1 if and only if G ∈ C ∪ D.
It may be worth noting that for any graph G, the disjoint domi-
nation number γγ(G) ≤ γ(G)+γ ′(G). Due to this, we get an upper
bound for γγ(G) and γ(G) + γ ′(G) which is better than Ore’s ob-
servation for disjoint domination number and sum of domination
number and inverse domination number [14].
Corollary 3.1.6. Let G be a connected graph with δ(G) ≥ 2 and
G /∈ {H1, . . . , H11}. Then γγ(G) ≤ γ(G) + γ ′(G) ≤ n − 2.
We suggest the following problems for further study in this di-
rection.
Open problems:
1. Find a necessary and sufficient condition for a graphs G with
δ(G) = 1 and γ(G) + γ ′(G) = n − 1.
2. Characterize all connected graphs G with δ(G) ≥ 2 for which
γ(G) + γ ′(G) = n − 2.
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 45
3.2 Graphs with δ = 1 and γ + γ ′ = n − 1
Up to this point, we have identified the graphs with δ(G) ≥ 2 which
satisfy γ(G) + γ ′(G) = n − 1. In order to identify the graphs with
δ(G) = 1 which satisfy γ(G) + γ ′(G) = n − 1, we construct a set
of classes of graphs as detailed below. Further, we prove that these
are the only graphs which exactly fulfill our requirement.
Construction C1: Let H be any connected graph and S =
V (H). Let P(H) be the set of all connected graphs obtained from
H by adding a set of new vertices and edges such that each vertex
in V (H) is adjacent to one or more new pendant vertices. Define
G1 = ∪ P(H) for any connected graph H.
Let G ∈ G1 and S1 be the set of all vertices v ∈ V (G) such that
v is adjacent to exactly one pendant vertex in G. Clearly S1 ⊆ S
and let S2 = S − S1. Let L be the set of all pendant vertices in G.
Let L1 = N(S1) ∩ L and let L2 = N(S2) ∩ L. Hereafter whenever
we use S, S1, S2, L, L1 and L2, they mean only these six sets. The
class of graphs G1 are given in Figure 3.4.
r
r
r
r
r
r
rrr
r
r
rr
r
r
rr
rr
S1S2
r
r
��
���
r
Figure 3.4: Class G1
46 CHAPTER 3. SUM OF γ AND γ ′
BBBBBB
s
s s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
s
s
Figure 3.5: Class G2
Construction C2: Let Q(G) be the set of connected graphs
obtained from G ∈ G1 by adding a set of vertices say I and a set
of edges joining each vertex of I with two or more vertices in S2.
Define G2 = ∪ Q(G) where G ∈ G1. The class of graphs G2 are
given in Figure 3.5.
Construction C3: Let S(K) be the set of all connected graphs
obtained from K ∈ G2 by adding a new vertex x and a set of edges
joining x to two or more vertices in S with at least one vertex in
S1. Then define R1 = ∪ S(K) where K ∈ G2. The class of graphs
R1 are given in Figure 3.6.
Construction C4: Let T(K) be the set of all connected graphs
obtained from K ∈ G2 by adding two vertices x and y with an edge
xy and joining each of x, y to vertices in S such that when both x
and y are adjacent to vertices in S1. Then either |N(x) ∩ S| = 1
or |N(y) ∩ S| = 1. Then define R2 = ∪T(K), where K ∈ G2. The
class of graphs R2 are given in Figure 3.7.
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 47
BBBBBB
s
s s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
sx�
��
��
��
Figure 3.6: Class R1
BBBBBB
s
s s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
x s
y
Figure 3.7: Class R2
48 CHAPTER 3. SUM OF γ AND γ ′
BBBBBB
s
s s
s
s
s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
DDDDDDDDDD
wx
y
Figure 3.8: Class R3
Construction C5: Let Z(K) be the set of all connected graphs
obtained from K ∈ G2 by adding a new path P (w, x, y) and edges
joining each of w and y to one or more vertices in S. Then define
R3 = ∪ Z(K), where K ∈ G2. The class of graphs R3 are given in
Figure 3.8.
Construction C6: Let V(K) be the set of all connected graphs
obtained from K ∈ G2 by adding a new path P4 with end vertices x
and w and internal vertices y and u. Also add the edges joining each
of x and w to one or more vertices in S2 together with or without
edges joining one of y, u to vertices in S. Then define R4 = ∪V(K),
where K ∈ G2. The class of graphs R4 are given in Figure 3.9.
Construction C7: Let W(K) be the set of all connected graphs
which may be obtained from any graph K ∈ G2 by adding a cycle
C4 consisting of vertices p, q, r, s and another new vertex v, an edge
joining v and p and edges joining v to one or more vertices in S.
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 49
BBBBBB
s
s s
s
s
s
s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
y
uw
x
Figure 3.9: Class R4
Then define R5 = ∪ W(K), where K ∈ G2. The class of graphs R5
are given in Figure 3.10.
Construction C8: Let X(K) be the set of all connected graphs
which may be formed from a graph K ∈ G2 by adding a cycle
C4 with vertices u, v, w, x and edges joining one vertex of C4 to
vertices in S with at least one edge in S1 or edges joining at most
three vertices of C4 to vertices in S2. Then define R6 = ∪ X(K),
where K ∈ G2. The class of graphs R6 are given in Figure 3.11.
Construction C9: Let Y(K, M) be the set of all connected
graphs obtained from K ∈ G2 and M ∈ B, the collection of graphs
given in Figure 2.2 by joining each vertex of F ⊆ V (M) to one or
more vertices in S such that no set with fewer than γ(M) vertices
of M dominates V (M) − F . Then define R7 = ∪Y(K, M) where
K ∈ G2 and M ∈ B. The class of graphs R7 are given in Figure 3.12.
50 CHAPTER 3. SUM OF γ AND γ ′
BBBBB
r
r r
r
r
r
r
r
r
r
r
rrr
r
r
rr
r
r
rr
rr
S1S2
��rvp s
rq
Figure 3.10: Class R5
BBBBBB
���
s
s s
s
s
s
s
s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
w
yu
x
Figure 3.11: Class R6
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 51
s
s
s
s
s
s
ss
s
s
s
s
s
s
s
s
ss
s
S1S2
��
��
��
s
s s
ss
s
y
uv w
x
Figure 3.12: Class R7
Theorem 3.2.1. If a graph G ∈ Ri for some i = 1, 2, . . . , 7, then
γ(G) + γ ′(G) = n − 1.
Proof. Let us prove the result by the way of giving the necessary γ
and γ′
-sets in each of the classes separately.
Case 1 Let G ∈ R1. By construction, let x ∈ V (G) be the
new vertex that is adjacent to a vertex u in S1 and let w be the
pendant vertex adjacent to u. Clearly D = S is a dominating set
of G. Therefore γ(G) ≤ |S|. Also since γ ≥ number of supports
= |S|, we get γ(G) = |S|. Then D = S ∪ {w} − {u} is a γ-set of
G and D′ = V (G) − (D ∪ {x}) is an inverse dominating set of G
with respect to D. Therefore γ(G) + γ ′(G) ≤ (|D|+ |D′|) = n− 1.
Note that each vertex in S2 lies in every γ-set of G and hence the
vertices that are adjacent to only the vertices of S2 lie in every γ′
-
set of G. Also observe that each vertex in (S1 ∪ L1) lies either in
a γ-set of G or in a γ′
-set of G. Hence γ(G) + γ ′(G) ≥ n − 1.
52 CHAPTER 3. SUM OF γ AND γ ′
Therefore γ(G) + γ ′(G) = n − 1.
Case 2 Let G ∈ R2. Then as in case 1, we see that D = S is a
γ-set and D′ = V (G)− (D ∪ {y}) is an inverse dominating set of G
with respect to D. Therefore γ(G) + γ ′(G) ≤ (|D|+ |D′|) = n− 1.
Note that each vertex in S2 lies in every γ-set of G and hence the
vertices that are adjacent to only the vertices of S2 together with
the vertex {x} or {y} lie in every γ′
-set of G. Also observe that
each vertex in (S1∪L1) lies either in a γ-set of G or in a γ′
-set of G.
Hence γ(G) + γ ′(G) ≥ n − 1. Therefore γ(G) + γ ′(G) = n − 1.
Case 3 Let G ∈ R3, D be a γ-set and D′ be a γ′
-set of G. Then
as discussed earlier, we see that ((S ∪ L) ∪ I) ⊆ (D ∪ D′). Since at
least one of the vertices of P3, say x is not adjacent to any of the
vertices of S, x or one of the neighbors say w ∈ D and the other
neighbor say y or x itself must lie in D′. Thus the only vertex that
is neither in the γ-set nor in the γ′
set of G is either x or y. Thus
D = S ∪ {w} is a γ-set and D′ = V (G) − (D ∪ {x}) is a γ′
-set of
G. Hence γ(G) + γ ′(G) = n − 1.
Case 4 Let G ∈ R4. Let D be a γ-set and D′ be a γ′
-set of G.
Then as discussed earlier, we see that ((S∪L)∪I) ⊆ (D∪D′). Since
at least one of the vertices of P4, say y is not adjacent to any of the
vertices of S, y ∈ D and since none of the vertices of the path P4
are adjacent to any of the vertices of S1, at least two other vertices
say x, w must lie in D′. Thus the only vertex that is neither in the
γ-set nor in the γ′
set of G is u. Thus D = S ∪ {y}, where y is not
adjacent to vertices in S is a γ-set of G and D′ = V (G)− (D∪{u})
is a γ′
-set of G. Hence γ(G) + γ ′(G) = n − 1.
Case 5 Let G ∈ R5. Let D be a γ-set and D′ be a γ′
-set of
G. Then as discussed earlier, we see that ((S ∪L)∪ I) ⊆ (D ∪D′).
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 53
Since none of the vertices of C4 is adjacent to any of the vertices
of S, two of the vertices of C4 say r, s must lie in a γ-set and two
other vertices say p, q must lie in the γ′
set of G. Since S2 ⊆ D, v
is dominated by a vertex v1 ∈ D and is dominated by p ∈ D′. Thus
D = S ∪ {q, s} is a γ-set and D′ = V (G)− (D ∪ {v}) is a γ′
-set of
G. Thus the only vertex that is neither in the γ-set nor in the γ′
set of G is v. Hence γ(G) + γ ′(G) = n − 1.
Case 6 Let G ∈ R6. Let D be a γ-set and D′ be a γ′
-set of
G. Then as discussed earlier, we see that ((S ∪L)∪ I) ⊆ (D ∪D′).
Since at least one of the vertices of C4, say w, is not adjacent to
any of the vertices of S, w ∈ D and since no vertex of the cycle C4
is adjacent to any of the vertices of S1, at least two other vertices,
say x, w, must lie in D′. Thus D = S ∪ {w}, is a γ-set of G and
D′ = V (G)−(D∪{u}) is a γ′
-set of G. Hence γ(G)+γ ′(G) = n−1.
Thus the only vertex that is neither in the γ-set nor in the γ′
set
of G is v. Hence γ(G) + γ ′(G) = n − 1.
Case 7 Let G ∈ R7. Let D1 be the γ-set and D1′
be the γ′
-set
of M ∈ B. Then |D1′
∪ D1′
| = |V (M)| − 1. Let t be the vertex
which is neither in the γ-set nor in the γ′
-set of M . Then by our
construction, D = S∪ D1 is a γ-set and D′ = V (G)− (D∪{t}) is a
γ′
-set of G. Hence γ(G)+γ′
(G) = n−1. Thus γ(G)+γ ′(G) = n−1,
for all G in ∪ Ri, i = 1 to 7.
Theorem 3.2.2. Let G be a connected graph with δ(G) ≥ 1. Let
L ⊆ V (G) be the set of all pendant vertices in G and S = N(L).
Let V − S be independent. Then γ(G) + γ ′(G) = n− 1 if and only
if G ∈ R1.
Proof. If G ∈ R1, then by Theorem 3.2.1, γ(G) + γ ′(G) = n − 1.
54 CHAPTER 3. SUM OF γ AND γ ′
Conversely, assume that γ(G)+γ ′(G) = n−1. Let M1 = V −(S∪L).
If M1 = ∅, then we have V = S ∪ L. Hence γ(G) + γ ′(G) = n, a
contradiction. Therefore M1 is non-empty. By Theorem 1.2.8, we
have at least one vertex x ∈ M1 such that at least one vertex in
N(x) is adjacent to only one pendant vertex.
We claim that there exists exactly one vertex u in M1 such that
at least one vertex in N(u) is adjacent to only one pendant vertex.
Suppose there are two vertices x and y in M1 such that N(x) and
N(y) each contain at least one vertex which is adjacent to only
one pendant vertex. Let x1 ∈ N(x) and y1 ∈ N(y) be the vertices
in S that are adjacent to only one pendant vertex, say x2 and y2
respectively. Since V −S is independent, S is a γ-set of G. Therefore
D = S ∪ {x2, y2} − {x1, y1} is a γ-set of G and D′ = V (G) − (D ∪
{x, y}) is an inverse dominating set of G with respect to D. Now
neither x nor y are in D ∪ D′. Therefore γ(G)+γ ′(G) ≤ |D+D′| ≤
n− 2, a contradiction. Therefore there exists an unique vertex x in
M1, such that at least one vertex in N(x) is adjacent to only one
pendant vertex. Hence by construction C3, G ∈ R1.
So far, we have constructed a class of graphs with minimum
degree one which satisfy γ(G) + γ ′(G) = n − 1. Now we are going
to prove that they are the only graphs with such property.
Notation: Let G be a connected graph with δ(G) = 1. Let
L ⊆ V be the set of all vertices of degree one in G. Let S = N(L).
Let S1 be the set of all vertices in S, which are adjacent to only one
pendant vertex and let S2 = S−S1. Let I be the set of independent
vertices in G but not in S ∪ L that are adjacent to vertices in S2.
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 55
Theorem 3.2.3. Let G be a connected graph with δ(G) = 1. Then
γ(G) + γ ′(G) = n − 1 if and only if G ∈⋃7
i=1 Ri.
Proof. One part of the theorem follows from Theorem 3.2.1. Con-
versely assume γ(G) + γ ′(G) = n − 1. Let S, L and I denote the
sets as mentioned above.
Case 1 When V (G) − S is independent, by Theorem 3.2.2, we
get G ∈ R1.
Case 2 When V (G) − S is not independent, let K = 〈I ∪
( S ∪ L) 〉. By construction C2, K ∈ G2. Let N = 〈V (G)−V (K)〉.
Note that δ(N) ≥ 1.
Sub case 2.1 When δ(N) = 1, let X be the set of pendant
vertices in N . No vertex of N is a pendant vertex, as a vertex of G.
Hence each vertex of X, as a vertex of G is adjacent to at least
one vertex in S. Now there are two possibilities. They are either
N − X = ∅ or N − X 6= ∅.
Sub case 2.1.1 If N − X = ∅, then N = X, and each vertex of
N is a pendant vertex. Hence each component of N is a K2. Let
the number of components in N be m. Note that any vertex of G is
either in S or adjacent to vertices in S. Therefore D = S is a γ-set
of G. Also D′ = (L∪l)∪ {one vertex in each of the m components of
N} is an inverse dominating set of G with respect to D. Therefore
γ(G)+ γ ′(G) ≤ n−m = n− 1, by the assumption. This gives that
m = 1. Therefore N = K2. Assume that V (K2) = {x, y}. Suppose
x and y are adjacent to vertices only in S2. Since N = {x, y}, by
construction of C4, G = T (K), K ∈ G2 and so G ∈ R2. Similarly
if only one of the vertices {x, y} is adjacent to vertices in S1, then
also by construction C4, G ∈ R2. If each of x and y are adjacent
56 CHAPTER 3. SUM OF γ AND γ ′
to vertices in S1, then we claim that either |N(x) ∩ S| = 1 or
|N(y) ∩ S| = 1. If not, let x1, x2 ∈ N(x) ∩ S where x1 ∈ S1 and let
y1, y2 ∈ (N(y) ∩ S) where y1 ∈ S1. Let N(x1) = x1′
, N(y1) = y1′
in L. Since S is a γ-set, D = S ∪ {x1′
, y1′
} − {x1, y1} is a γ-set of
G and D′ = V (G) − (D ∪ {x, y}) is an inverse dominating set with
respect to D, so that γ(G) + γ ′(G) ≤ n− 2, a contradiction. Thus
when both the ends x and y of K2 are adjacent to vertices in S1,
we have either |N(x) ∩ S| = 1 or |N(y) ∩ S| = 1. By construction
C4, G = T (K), K ∈ G2 and so G ∈ R2.
Sub case 2.1.2 When N − X 6= ∅, there are three possibilities
as discussed below. They are N −X has only isolates or no isolates
or both isolates and non-isolates.
Sub case 2.1.2.1 If N − X has only isolates, then each isolate
u ∈ N −X is adjacent to at least two vertices in X. Let |N −X| =
k. Let V (N − X) = {u1, u2, . . . , uk}. Let ui be adjacent with
vi1, vi2, . . . , viki. Then D = S ∪ {v11
, v21, . . . , vk1
} is a γ-set of G and
D′ = (L ∪ I) ∪ {u1, u2, . . . , uk} is an inverse dominating set of G
with respect to D. Hence γ(G) + γ′
G ≤ n − k. Since we have
γ(G) + γ′
(G) = n − 1, we get that k = 1. Hence there is only one
isolate in N −X. Let u be the isolate in N −X. Next we claim that
u is adjacent to exactly two vertices in X. Suppose u is adjacent
to three or more vertices in X, say {u1, u2, . . . , um}, m ≥ 3. Then
D = S∪{u1} is a γ-set of G and D′ = V (G)−(D∪{u2, u3, . . . , um})
is an inverse dominating set of G with respect to D. Therefore
γ(G) + γ ′(G) ≤ n − 2, a contradiction. Hence m ≤ 2. Since
dG(u) ≥ 2, m = 2. Therefore u is adjacent to exactly two vertices,
say v and w and so N is the path P3 with vertices v, u and w. Since
v, w are the vertices in X, they are adjacent to vertices in S.
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 57
We claim that u is not adjacent with vertices in S. Suppose
u is adjacent with vertices in S, then D = S is a γ-set of G and
D′ = V (G) − (D ∪ {v, w}) is an inverse dominating set of G with
respect to D. Therefore γ(G) + γ ′(G) ≤ n − 2, a contradiction.
Hence u is not adjacent with vertices in S. Hence by construction
C5, G = Z(K) and so G ∈ R3.
Sub case 2.1.2.2 If N −X has no isolates, then let N1 = 〈N −
X〉. Note that each vertex in X is adjacent to at least one vertex
in S and to exactly one vertex in N1. So D = S ∪D1 is a γ-set of G
where D1 is a γ-set of N1 and D′ = V (G) − (D ∪ {u}) with u ∈ X
is an inverse dominating set of G.
Let D1′
be a γ′
-set of N1. We claim that |N1 ∩ D′| ≤ |D′
1|.
If not, |N1 ∩ D′| > |D′
1|. That is there are some vertices in N1
which are not in D′
1 but in D′
to dominate the vertices of X. But
by the choice of D′
, all the vertices of X except u (∈ X) are in D′.
Thus D′ is not a γ′
- set of G. Hence γ(G) + γ ′(G) < n − 1, a
contradiction. Hence the claim. Therefore |N1 ∩ D| ∪ |N1 ∩ D′| =
|N1∩(D∪D′)| ≤ |D1∪D1′
| ≤ |V (N1)|. Since γ(G)+γ ′(G) = n − 1
and I ∪ (S ∪ L) ⊆ D ∪ D′, and since u ∈ X is the only vertex
which is neither in the γ- set of G nor in the γ′
- set of G, we have
|N1 ∩ (D ∪ D′)| = |V (N1)|. Therefore |D1 ∪ D1′
| = |V (N1)|. That
is γ(N1) + γ′
(N1) = |V (N1)|.
Sub case 2.1.2.2.1 When δ(N1) = 1, we claim that |V (N1)| =
n1 = 2. Since δ(N1) = 1, trivially n1 ≥ 2. If n1 ≥ 3, then by
Theorem 1.2.8, there are at least two pendant vertices in N1 and
each pendant vertex in N1 is adjacent with one vertex in X. Let
{x1, x2} be two vertices in X that are adjacent with the pendant
vertices of N1. Let H be the subgraph obtained from N1 by deleting
58 CHAPTER 3. SUM OF γ AND γ ′
the pendant vertices of N1. Let H1 be the γ-set of N1 with no
pendant vertices of N1. Then D = S ∪ H1 is a γ-set of G and
D′ = V (G) − (D ∪ {x1, x2}) is an inverse dominating set of G with
respect to D. Therefore γ(G) + γ ′(G) ≤ n − 2, a contradiction.
Therefore n1 = 2. Since δ(N1) = 1, N1 = K2 and so N = P4.
Let (x1, x2, x3, x4) be the path P4. We claim that all the vertices
of P4 are not adjacent to vertices in S. Suppose all the 4 vertices
of P4 are adjacent to vertices in S, then D = S is a γ-set of G and
D′ = V (G) − (D ∪ {x1, x4}) is an inverse dominating set of G with
respect to D. Therefore γ(G) + γ ′(G) ≤ n − 2, a contradiction.
Therefore all the vertices of P4 are not adjacent to vertices in S.
Next we claim that both x1 and x4 are adjacent to vertices in S2
only. Since x1 and x4 are pendant vertices in N , they are adjacent
to vertices in S. Suppose at least one of x1 and x4, say x1 is adjacent
to vertices in S1. Let x1 be adjacent with y1 in S1 where z1 is the
pendant vertex adjacent to y1. Then D = (S ∪ {z1, x2})− {y1} is a
γ-set of G and D′ = V (G)− (D∪{x1, x4}) is an inverse dominating
set of G with respect to D. Therefore γ(G) + γ ′(G) ≤ n − 2, a
contradiction. Therefore both x1 and x4 are adjacent to vertices in
S2 only. Hence by the above claims and if one of x2 or x3 is not
adjacent with vertices in S, we get G = V (K) by construction C6.
Thus G ∈ R4.
Sub case 2.1.2.2.2 When δ(N1) ≥ 2. Since γ(N1) + γ′
(N1) =
|V (N1)|, by Theorem 1.2.7, we observe that N1 = C4. We claim
that |X| = 1. If not, |X| ≥ 2. Let {x1, x2} be two vertices in X
which are adjacent to vertices of C4. Let {a, b, c, d} be the vertices
of C4. Without loss of generality, let ax1 and bx2 be the edges in N .
Then D = S∪{c, d} is a γ-set of G and D′ = V (G)− (D∪{x1, x2})
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 59
is an inverse dominating set of G with respect to D. Hence γ(G) +
γ ′(G) ≤ n − 2, a contradiction. Therefore |X| = 1. Hence assume
ax is an edge in N . Since x is a pendant vertex in N, x is adjacent
to vertices in S.
We claim that no vertex of C4 is adjacent with vertices in S.
If not, at least one vertex say a (or b) is adjacent to vertices in
S. Then D = S ∪ {c} (or D = S ∪ {d} accordingly) is a γ-set of
G and D′ = V (G) − (D ∪ {x, d}), (or D′ = V (G) − (D ∪ {x, b})
accordingly) is an inverse dominating set of G with respect to D.
Hence γ(G) + γ ′(G) ≤ n − 2, a contradiction. Therefore no vertex
of C4 is adjacent with vertices in S. Thus only x is adjacent with
vertices in S. Hence by construction C7, G = W (K) and G ∈ R5.
Sub case 2.1.2.2.3 From the above two cases we see that the
components of N − X shall be either with only isolates or with no
isolates, since in each case we have one vertex which is neither in
the γ-set of G nor in the γ′
-set of G.
Sub case 2.2 When δ(N) ≥ 2. Let D and D1 be the γ-sets of
G and N respectively. Also let D′ and D1′
be the γ′
-sets of G and
N respectively. Since either the vertices of S or the vertices of L
lie in any dominating set of G, we need no vertex of N to dominate
vertices in S. Therefore |N ∩ (D ∪ D′)| ≤ |D1 ∪ D1′
| ≤ |V (N)|.
Thus either |N ∩(D∪D′)| ≤ |D1∪D′
1| or |N ∩(D∪D′)| = |D1∪D′
1|
are the two possibilities.
Sub case 2.2.1 Suppose |N ∩ (D ∪ D′)| < |D1 ∪ D1′
|. Then
|N ∩ (D∪D′)| < |D1 ∪D1′
| ≤ |V (N)|. Since γ(G)+γ ′(G) = n− 1
and S∪L ⊆ D∪D′, we have |N∩(D∪D′)| = |V (N)|−1. Therefore
|D1 ∪ D1′
| = |V (N)|. That is |D1| + |D1′
| = |V (N)|. Thus
γ(N) + γ′
(N) = |V (N)|. Note that δ(N) ≥ 2 and by Theorem
1.2.7, we get N = C4.
60 CHAPTER 3. SUM OF γ AND γ ′
Sub case 2.2.1.1 Only one vertex of C4 is adjacent to vertices
in S1. If not, there are at least two vertices of C4 that are adjacent
to vertices in S1 or one vertex of C4 adjacent to vertices in S1 and
at least one or more of the other vertices is adjacent to vertices in
S2. Let e, f, g and h be the vertices of C4. Let e, f be the vertices
adjacent to x1 and y1 in S1 respectively. Let x2 and y2 be the
neighbors of x1 and y1 in L respectively. Then D = (S ∪ {y2, g}) −
{y1} is a γ-set of G and D′ = V (G) − (D ∪ {e, f}) is an inverse
dominating set of G with respect to D. Hence γ(G)+γ ′(G) ≤ n−2,
a contradiction. Similarly we get a contradiction in the other case
too. Hence, if the vertices of C4 are adjacent to vertices in S1, then
only one vertex of C4 is adjacent to vertices in S1. Therefore by
construction C8, G ∈ R6.
Sub case 2.2.1.2 At most three vertices of C4 are adjacent to
vertices in S2. If not, all the vertices of C4 are adjacent to vertices
in S2. Then D = S is a γ-set of G and D′ = V (G) − (D ∪ {e, f})
is an inverse dominating set of G with respect to D. Hence γ(G) +
γ ′(G) ≤ n − 2, a contradiction. Thus if the vertices of C4 are
adjacent to vertices in S2, then at most three vertices of C4 are
adjacent to vertices in S2. Hence by construction C8, G ∈ R6.
Sub case 2.2.2 Suppose |N∩(D∪D′)| = |D1∪D1′
|. Then |N∩
(D∪D′)| = |D1∪D1′
| ≤ |V (N)|. But |N ∩ (D∪D′)| = |V (N)|−1.
Therefore |D1∪D1′
| = |V (N)|−1. That is |D1|+|D1′
| = |V (N)|−1.
Also δ(N) ≥ 2. Therefore N ∈ (A∪B). However N may be further
restricted. It can be easily verified that if N ∈ A, then for any
U 6= ∅, V (N) − U is dominated by less than γ(N) vertices so that
γ(G) + γ ′(G) ≤ n − 2. Therefore for N ∈ B, there exists at least
one suitable non-empty subset U of V (N) such that V (N) − U
3.2. GRAPHS WITH δ = 1 AND γ + γ ′ = N − 1 61
is dominated by exactly γ(N) vertices. Thus each vertex in U is
adjacent with one or more vertices in S and so by construction C9,
we get G ∈ R7. Hence G ∈⋃7
i=1 Ri.
62 CHAPTER 3. SUM OF γ AND γ ′
Chapter 4
Inverse Domination in Grid
Graphs
This chapter deals about the inverse domination in grid graphs.
Actually we obtain the inverse domination number for grid graphs of
order up to seven. The domination number of k×n grid graphs Pk×
Pn have been previously established by Jacobson and Kinch [26, 27]
and, T. Y. Chang, W. Edwin Clark and E. O. Hare [7]. More
specifically, they find the domination number of grid graphs for
1 ≤ k ≤ 10 and n ≥ 1. In tune with the methodology established
in [7], we obtain the inverse domination number as well as an inverse
dominating set for the graphs Pk × Pn for 1 ≤ k ≤ 7 and n ≥ 1.
Even though γ(Pm) is known for any positive integer m, one could
not able to determine γ(Pk × Pn) using γ(Pk) and γ(Pn). In this
regard, Jacobson and Kinch [26] took the first step towards finding
the domination number for Pk × Pn. Actually, in their work they
have obtained the domination number for the grid graphs Pk × Pn
for a positive integer k and n with 1 ≤ k ≤ 4 and n ≥ 1. Later on,
in the year 1994, T.Y. Chang, W. Edwin Clark and E. O. Hare [7]
identified the dominating sets for the grid graphs Pk × Pn for 5 ≤
k ≤ 10 and n ≥ 1 through the smaller grids Pk × Pm with m < n.
63
64 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
As in chapter 3, γ(Pn) = γ ′(Pn) = ⌈n3⌉ if and only if
n 6≡ 0 (mod 3). Since P1 × Pn is nothing but Pn, we have γ ′(P1 ×
Pn) = γ ′(Pn). It may be worthwhile to note that γ ′(P2 × P3) =
γ ′(P2) × γ ′(P3) = 2. However this is not the case always.
For example γ(P2 × P4) = γ ′(P2 × P4) = 3 whereas γ ′(P2) = 1
and γ ′(P4) = 2. Thus γ ′(P2×P4) 6= γ ′(P2)×γ ′(P4). As mentioned
earlier, even though γ ′(Pn) is obtained in chapter 3, as it is, one
could not able to determine γ ′(Pk × Pn).
Now, we attempt to find the inverse domination number and an
inverse dominating set for the grid graphs Pk×Pn for 1 ≤ k ≤ 7 and
n ≥ 1 using the smaller grids Pk×Pm (m < n). First of all, consider
the graph P1 × Pn for any positive integer n. Let n = 3k + 1 and
V (Pn) = {1, 2, . . . n}. Then by [35], S = {2, 5, 8, . . . 3k − 1, 3k + 1}
and S ′ = {1, 4, 7, . . . 3k − 2, 3k} are the γ-set and γ ′-set of Pn
respectively and |S| = |S ′| = k + 1. If n = 3k + 2, then S =
{2, 5, 8, . . . 3k + 2} and S ′ = {1, 4, 7, . . . 3k + 1} are the γ-set and
γ ′-sets of Pn respectively. Also each S and S ′ has k + 1 vertices.
In contrast to the values of γ(Pn) and γ ′(Pn) for n 6≡ 0( mod 3),
it may be noted that γ(P3k) = n3 and γ ′(P3k) = n
3 + 1. Further
D = {2, 5, 8, . . . , 3k−1} is the γ-set and D′ = {1, 4, 7, . . . , 3k−2, 3k}
is a γ ′-set for P3k. Hence in this case γ(P3k) 6= γ ′(P3k). In general
one can conclude that γ ′1,n =
⌈
n3
⌉
+ 1 for all n.
First we find the inverse domination number for P2 × Pn grid
graphs. In the subsequent sections, we determine inverse domina-
tion number and an inverse dominating set for grid graphs Pk × Pn
for 3 ≤ k ≤ 7. Finally, we determine the inverse domination num-
ber for cylinder graphs P2×Cn. Hereafter we denote the grid graph
Pk × Pn by k × n, γ(Pk × Pn) by γk,n and γ ′(Pk × Pn) by γ ′k,n.
4.1. INVERSE DOMINATION IN 2 × N GRID GRAPHS 65
Figure 4.1: Class S and S ′
Figure 4.2: 2 × 7 grid graph
4.1 Inverse Domination in 2 × n Grid Graphs
In this section, we give the inverse domination number and an in-
verse dominating set for the 2×n grid graphs. It is established in [26]
that γ2,n = ⌈n+12 ⌉ for n ≥ 1 and is restated in [7] as γ2,n =
⌊
n+22
⌋
for
n ≥ 1. As obtained in [7], we make use of the blocks A, B1, B2, B3
and B4 given in Figure 4.1 to construct a dominating set S and
an inverse dominating set S ′ for P2 × Pn with n ≥ 1. Note that
the vertices of the grid graphs Pk × Pn, are precisely the points of
intersection of the lines and hence |V (Pk × Pn)| = kn.
We construct S and S ′ by concatenating suitable blocks given
in Figure 4.1. For example, if we concatenate A and B3 we get the
block AB3 as in Figure 4.2. Note that AB3 is the 2× 7 grid graph.
The vertices with the symbol ‘•’ in each of the blocks in the
figures represent the vertices to be included for a dominating set
S and the vertices with the symbol ‘×’ represent the vertices to
be included for an inverse dominating set S ′. The vertices with
symbol ‘o’(or ‘⊗’) in the blocks indicate those vertices that are not
66 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Figure 4.3: Blocks A2, AB1, AB2, AB3 and AB4 for 2 × n grid
dominated by a dominating set S (or by S ′) constructed up to a
particular stage and to be considered while concatenation. However
a dominating set or an inverse dominating set constructed after con-
catenation shall dominate all the vertices of the newly constructed
block. The concatenated blocks A2, AB1, AB2, AB3 and AB4 are
given in Figure 4.3.
After concatenation, the set of vertices with the symbol ‘•’ give
a dominating set and the set of vertices with the symbol ‘×’ give
an inverse dominating set. Now B1, B2, B3 and B4 will give S and
S ′ for P2 × Pn for 1 ≤ n ≤ 4. Now for n ≥ 5, let n = 4q + r
with 1 ≤ r ≤ 4 and q ≥ 1. Then AqBr gives a dominating set S
and an inverse dominating set S ′ for P2 ×Pn. By Aq, we mean the
concatenation of A with itself for q times. Let a = |V (A)∩S|, a ′ =
|V (A) ∩ S ′|, br = |V (Br) ∩ S| and b ′r = |V (Br) ∩ S ′|. Note
that a = a ′ = 2, b1 = b1′ = 1, b2 = b ′
2 = 2, b3 = b ′3 = 2
and b4 = b ′4 = 3. Note that the dominating set S as well as an
inverse dominating set S ′ in AqBr contain 2q + br vertices. Hence
|S ′| = |S| = 2q + br =⌊
n+22
⌋
.
In view of γ2,n = ⌊n+22 ⌋ [7], we see that S ′ is a γ
′
-set and hence
γ2,n = γ ′2,n, for all n. Thus we have the following theorem:
Theorem 4.1.1.
γ ′2,n =
⌊
n + 2
2
⌋
for all n ≥ 1.
4.2. INVERSE DOMINATION IN 3 × N GRID GRAPHS 67
Figure 4.4: Blocks A,B1, B2, B3 and B4 for 3 × n grid
4.2 Inverse Domination in 3 × n Grid Graphs
In this section, we give the inverse domination number and an in-
verse dominating set for 3× n grid graphs. In [7], it is proved that,
γ3,n =
⌊
3n + 4
4
⌋
, n ≥ 1.
To construct a dominating set and an inverse dominating set of
P3 × Pn, we use the grid blocks A, B1, B2, B3 and B4 given in Fig-
ure 4.4. We give the concatenation of A with A, B1, B2, B3, and B4
as A2, AB1, AB2, AB3 and AB4 in Figure 4.5.
Note that for n = 1, 2, 3 and 4 the dominating and inverse domi-
nating sets are as given by the grid blocks B1, B2, B3 and B4 respec-
tively. Note that a = |V (A)∩S| = 3 and a ′ = |V (A)∩S ′| = 3. As
mentioned earlier, let br = |V (Br)∩S| and b ′r = |V (Br)∩S ′|. Note
that b1 = 1, b ′1 = 2, b2 = 2, b ′
2 = 3, b3 = b ′3 = 3 and b4 = b4
′ = 4.
For n ≥ 3, let n = 4q + r with 1 ≤ r ≤ 4 and q ≥ 0. Then AqBr
for q ≥ 0 and 1 ≤ r ≤ 4 gives a dominating set S and an inverse
dominating set S ′ with 3q + br and 3q + b ′r vertices respectively.
Also, note that for n ≥ 3,
3q + br′ =
3q + br if r = 3, 4
3q + br + 1 if r = 1, 2.
68 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Figure 4.5: Blocks A2, AB1, AB2, AB3 and AB4 for 3 × n grid
Hence for n = 4q + r, we get |S ′| = |S| whenever r = 3, 4 and
|S ′| ≤ |S| + 1 whenever r = 1, 2. Thus we obtain the following
result:
Theorem 4.2.1.
γ ′3,n
≤⌊
3n+44
⌋
+ 1 if n ≡ 1, 2(mod 4)
=⌊
3n+44
⌋
if n ≡ 0, 3(mod 4).
4.3 Inverse Domination in 4 × n Grid Graphs
This section gives the inverse domination number and an inverse
dominating set for 4 × n grid graphs. It is proved that [7],
γ4,n =
n + 1 if n = 1, 2, 3, 5, 6, 9
n otherwise.
The blocks A1, A2, A3, A4 and A5 in Figure 4.6 gives a dominating
set and an inverse dominating set for P4×Pk, where k = 1, 2, 3, 4, 7.
One can see that A4A1, A4A2, A24 and A5A2 give a dominating set
and an inverse dominating set for P4 × Pk whenever k = 5, 6, 8, 9.
We use the blocks A, B and B1 given in Figure 4.7 to construct a
dominating set and an inverse dominating set for P4 × Pn; n ≥ 10.
The blocks AB and BB1 in Figure 4.8 gives a γ-set and a γ′
-set for
P4 × P6 and P4 × P4 grids respectively. Let n = 3q + r; 1 ≤ r ≤ 3.
Since n ≥ 10, we have q ≥ 3. Consider q − r. There are two
4.3. INVERSE DOMINATION IN 4 × N GRID GRAPHS 69
Figure 4.6: Blocks A1, A2, A3, A4 and A5 for 4 × n grid
Figure 4.7: Blocks A,B and B1 for 4 × n grid
possibilities. They are either q − r is even or odd.
Figure 4.8: Blocks AB and BB1 for 4 × n grid
70 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Case 1. When q − r is even say 2t, then (BA)t(BB1)r gives
dominating and inverse dominating sets for P4 × Pn grid graph.
Case 2. When q−r is odd, say 2t+1, then A(BA)t(BB1)r gives
dominating and inverse dominating sets for P4 × Pn grid graph.
Let a = |V (A) ∩ S|, a ′ = |V (A) ∩ S ′|, b = |V (B) ∩ S| and
b ′ = |V (B) ∩ S ′|, b1 = |V (B1) ∩ S| and b ′1 = |V (B1) ∩ S ′|. Note
that a = a ′ = 3, b = b ′ = 3 and b1 = b ′1 = 1. Note that S and
S ′ contain only one vertex from each column. Hence we see that
γ4,n = γ ′4,n = n for all n ≥ 10. As seen earlier, γ 4,n = γ ′
4,n for
all n ≤ 10. Therefore γ 4,n = γ ′4,n for all n. Thus we proved the
following theorem.
Theorem 4.3.1.
γ ′4,n =
n + 1 if n = 1, 2, 3, 5, 6, 9
n otherwise.
4.4 Inverse Domination in 5 × n Grid Graphs
This section concerns with the inverse domination number and in-
verse dominating set for 5 × n grid graphs. By [7], we have
γ5,n =
⌊
6n+65
⌋
n = 2, 3, 7⌊
6n+85
⌋
otherwise.
Tony Yu Chang, Edwin Clark and E.O. Hare [7] constructed the
blocks A, B, B1, B2, B3, B4 and B5 for constructing a dominating
set for a 5 × n grid graph. The blocks are given in Figure 4.9.
Further, we use the blocks C, D, D1, D2, D3, D4, D5, F2, F3, F4
and F5 for constructing an inverse dominating set for a 5 × n grid
4.4. INVERSE DOMINATION IN 5 × N GRID GRAPHS 71
Figure 4.9: Blocks A, B, B1, B2, B3, B4 and B5 for 5 × n grid
Figure 4.10: Blocks C, D, D1, D2, D3, D4, D5, F2, F3, F4 and F5 for 5 × ngrid
graph and the blocks are given in Figure 4.10.
In contrast to the procedure mentioned in the previous sections,
we use different sets of blocks to determine a dominating set and
an inverse dominating set. For n ≤ 4 dominating and inverse dom-
inating sets are obtained from 1 × 5, 2 × 5, 3 × 5 and 4 × 5 grids.
Even though we make use of different sets of blocks, the final con-
catenation gives same graph.
Let a = |V (A) ∩ S|, b = |V (B) ∩ S ′|, c = |V (C) ∩ S|, d =
|V (D) ∩ S ′|, br = |V (Br) ∩ S| and b ′r = |V (Br) ∩ S ′|. Also
let dr = |V (Dr) ∩ S|, d ′r = |V (Dr) ∩ S ′|, fr = |V (Fr) ∩ S| and
f ′r = |V (Fr) ∩ S ′|. Note that a = b = c = d = 6, b1 = d1 = 2,
b2 = d2 = f2 = 4, b3 = d3 = f3 = 5, b4 = d4 = f4 = 6 and
b5 = d5 = f5 = 7. Let n = 5q + r for 1 ≤ r ≤ 5.
Case 1. When n is even, we deal with 3 cases.
(1) n ≡ 1(mod 5).
(2) n 6≡ 1(mod 5) and q is even.
(3) n 6≡ 1(mod 5) and q is odd.
72 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Sub case 1.1. When n is even and n ≡ 1(mod 5), then in this
case r = 1 and n = 5q + 1. Since n is even, q must be odd and
let q = 2k + 1 for some k with k ≥ 0. Then A(BA)kB1 gives a
dominating set S as in [26], hence a γ- set and D5(CD)k D1 gives
an inverse dominating set S ′ with respect to S. Also, one can note
that |S| = a + k(b + a) + b1 = 12k + 8 and similarly |S ′| = 12k + 9.
Thus |S ′| = |S| + 1. Hence in this case, γ ≤ γ ′ ≤ γ + 1.
Sub case 1.2. When n is even with n 6≡ (1 mod 5) and q is
even, then n = 5q + r where 2 ≤ r ≤ 5. Let q = 2k. Note that
k ≥ 1. Now (BA)kBr gives a dominating set S and Dr(CD)k gives
an inverse dominating set S ′ with respect to S. Also note that
|S ′| = |S| = 12k + br and hence in this case γ ′ = γ.
Sub case 1.3. When n is even with n 6≡ (1 mod 5) and q is
odd, then in this case, n = 5q + r and 2 ≤ r ≤ 5. Let q = 2k + 1;
k ≥ 0. Then A(BA)kBr gives a dominating set S and Dr(CD)kC
gives an inverse dominating set S ′ with respect to S. Note that
|S ′| = |S| = 12k + 6 + br and hence in this case also γ ′ = γ.
Case 2. When n is odd, we deal with 3 cases.
(1) n ≡ 1(mod 5).
(2) n 6= 1(mod 5) and q is even.
(3) n 6= 1(mod 5) and q is odd.
Sub case 2.1. When n is odd and n ≡ 1 (mod 5), then n = 5q+1
with q is even. Let q = 2k for k ≥ 1. Then (BA)kB1 gives a
dominating set S. And F5(DC)k−lDD1 gives an inverse dominating
set S ′ with respect to S. We shall verify that |S| = 12k + 2 and
that |S ′| = 12k + 3. Hence in this case γ ≤ γ ′ ≤ γ + 1.
4.5. INVERSE DOMINATION IN 6 × N GRID GRAPHS 73
Sub case 2.2. When n is odd with n 6≡ 1 (mod 5) and q is even,
then n = 5q + r and 2 ≤ r ≤ 5. Let q = 2k. Note that k ≥ 1. Then
(BA)kBr gives a dominating set S and Fr(DC)k gives an inverse
dominating set S ′ with respect to S. Also, one can verify that
|S| = |S ′| = 12k + br. From this, again we have γ ′ = γ.
Sub case 2.3. When n is odd with n 6≡ 1 (mod 5) and q is odd,
then n = 5q + r and 2 ≤ r ≤ 5. Let q = 2k + 1. Note that k ≥ 0.
Then A(BA)kBr gives a dominating set S and Fr(DC)kD gives an
inverse dominating set S ′ with respect to S and one can note that
|S| = |S ′| = 12k + 6 + br. Hence γ ′ = γ in this case too. Thus
γ ′5,n =
γ5,n or γ5,n + 1 if n ≡ 1(mod 5)
γ5,n otherwise.
Hence we have proved the following result:
Theorem 4.4.1.
γ ′5,n =
⌊
6n+65
⌋
if n = 2, 3, 7⌊
6n+85
⌋
or⌊
6n+85
⌋
+ 1 if n ≡ 1 (mod 5)⌊
6n+85
⌋
otherwise.
4.5 Inverse Domination in 6 × n grid graphs
In this section, we give the inverse domination number and an in-
verse dominating set for 6×n grid graphs. It was proved that in [7],
74 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Figure 4.11: Blocks A, B, B1, B2, B3, B4 and B5 for 6 × n grid
Figure 4.12: Blocks B6 and B7 for 6 × n grid
for every n ≥ 4
γ6,n =
⌊
10n + 10
7
⌋
n ≡ 1(mod 7)
⌊
10n + 12
7
⌋
otherwise.
T. Y. Chang, Edwin Clark and E. O. Hare [7] gave a set of
blocks to construct a dominating set for a 6 × n grid graph. By
our assumption n ≥ 6. The case 6 × 6 has been dealt by the block
B6 of Figure 4.12. We give a set of blocks for the construction of
dominating and inverse dominating sets for 6 × n (for n ≥ 6) grid
graphs in Figure 4.11 and in Figure 4.12.
Here we give a dominating and an inverse dominating set for
6× n, n ≥ 6 and those for n ≤ 5 are obtained from the k × 6 grids
where 1 ≤ k ≤ 5. The blocks A, B, Br, 1 ≤ r ≤ 7 are used for
finding the dominating and inverse dominating sets for the 6 × n
grid graphs. Let n = 7q + r for 1 ≤ r ≤ 7. Let br = |V (Br) ∩ S|,
4.5. INVERSE DOMINATION IN 6 × N GRID GRAPHS 75
Figure 4.13: Blocks A, C1 and C3 for 7 × n grid
b ′r = |V (Br)∩S ′|, a = a ′ = |V (A)∩S| and b = b ′ = |V (B)∩S ′|.
Then note that a = b = a′
= b′
= 10, b1 = b′
1 = 2, b2 = b′
2 = 4,
b3 = b′
3 = 6, b4 = b′
4 = 7 and b5 = 8 and b′
5 = 9, b6 = b′
6 = 10 and
b7 = b′
7 = 11. We consider two cases according as q is even or q is
odd.
Case 1. If q is even then q = 2k. Note that k ≥ 1. Then
(BA)kBr gives a dominating set S and an inverse dominating set
S ′ with |S| = |S′
| = 12k + br.
Case 2. If q is odd, then q = 2k + 1 and note that k ≥ 0. Then
A(BA)kBr gives a dominating set S and an inverse dominating set
S ′ with |S| = |S′
| = 12k + 6 + br.
Note that the number of vertices contributed by each block to a
dominating set and an inverse dominating set are the same except
for B5, and that it differs by one for B5. Hence we see that γ ≤
γ ′ ≤ γ + 1 when n = 7q + 5; and that γ = γ ′ otherwise. Thus we
have proved the following theorem:
76 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Figure 4.14: Blocks C4 and C5 for 7 × n grid
Theorem 4.5.1. For n ≥ 6,
γ ′6,n =
⌊
10n + 10
7
⌋
if n ≡ 1(mod 7)
⌊
10n + 12
7
⌋
or
⌊
10n + 12
7
⌋
+ 1 if n ≡ 5(mod 7)
⌊
10n + 12
7
⌋
otherwise.
4.6 Inverse Domination in 7 × n grid graphs
In this section, we give the inverse domination number and an in-
verse dominating set for the 7 × n grid graphs. From [7], we have
γ7,n =
⌊
5n + 3
3
⌋
for every 6 ≤ n ≤ 500.
We use the blocks A, C1, C3 given in Figure 4.13 and C4, C5, C6
and B given in Figure 5.14 and in Figure 5.15 to construct a dom-
inating set S and an inverse dominating set S ′ for a 7 × n graph.
Let a = |V (A) ∩ S|, a ′ = |V (A) ∩ S ′|, cr = |V (Cr) ∩ S| and
b = |V (B) ∩ S ′|. Note that a = a ′ = b = 10, c1 = c′
1 = 2,
c3 = c′
3 = 5, c4 = c′
4 = 7 and c5 = c′
5 = 9, and c6 = c′
6 = 11.
Let n = 6q + r; 1 ≤ r ≤ 6. As earlier, we give a dominating
4.7. INVERSE DOMINATION IN P2 × CN GRID GRAPHS 77
Figure 4.15: Blocks C6 and B for 7 × n grid
set and an inverse dominating set for 7 × n; n ≥ 7 and those for
n ≤ 6 are obtained from the k × 7 grids where 1 ≤ k ≤ 6. Since
n ≥ 7, we have q ≥ 1. We handle the cases r = 2, r = 3 and
r = 6 separately. When r = 2, Aq−1C4C4 gives a dominating set
S and an inverse dominating set S ′ and each has 10q + 4 vertices.
When r = 3, Aq−1C1C3C5 gives a dominating set S and an inverse
dominating set S ′ and each has 10q+6 vertices. When r = 6, AqC6
gives a dominating set S and C6Bq gives an inverse dominating set
S ′ and each has 11q + 1 vertices. AqCr gives a dominating set S
and an inverse dominating set S ′ for r= 1,4,5 with 10q + 2, 10q + 7
and 10q + 9 vertices respectively. Thus we see that γ ′7,n = γ 7,n for
all n. Therefore we have the following theorem:
Theorem 4.6.1.
γ ′7,n = γ 7,n =
⌊
5n + 3
3
⌋
for every 6 ≤ n ≤ 500.
4.7 Inverse Domination in P2 × Cn grid graphs
In this section, we give the domination number, dominating set, the
inverse domination number and an inverse dominating set for the
cylinder grid graphs P2 × Cn with n ≥ 3. We shall observe that
P2 × Cn can be obtained from P2 × Pn, by concatenating the ends
of it. We make use of the basic blocks A, B1, B2 and B3 given for
78 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
the P2 × Pn grid graphs in Figure 4.1. We now split into four cases
according to n ≡ i(mod 4) for i = 0, 1, 2, 3.
Case 1 When n ≡ 0(mod 4), n = 4q for some integer q ≥ 1.
We observe that as in P2 × Pn, Aq gives a dominating set with
2q vertices. Hence γ(P2 × Cn) ≤ 2q. By Theorem 1.2.3, we have
⌈ n1+∆(G)⌉ ≤ γ(G). Here ∆(G) = 3 and n = 2× 4q. Therefore we get
⌈ 8q1+3⌉ ≤ γ(G) ≤ 2q. Thus γ(P2 × C4q) = 2q. Note that the same
block Aq gives an inverse dominating set with 2q vertices. Since
γ(P2 × Cn) ≤ γ′
(P2 × Cn), we get γ′
(P2 × C4q) = 2q.
Case 2 When n ≡ 1(mod 4), n = 4q + 1 for some integer
q ≥ 1. Here, the block AqB1 gives a dominating set with 2q + 1
vertices. Hence γ(P2 × C4q+1) ≤ 2q + 1. As in Case 1, we get
⌈8q+21+3 ⌉ ≤ γ(G) ≤ 2q + 1. Thus γ(P2 × C4q+1) = 2q + 1. Note that
the same block AqB1 gives an inverse dominating set with 2q + 1
vertices. As in Case 1, we get γ′
(P2 × C4q+1) = 2q + 1.
Case 3 When n ≡ 2(mod 4), n = 4q + 2 for some integer q ≥ 1.
Here the block AqB2 gives a dominating set with 2q + 2 vertices.
Hence γ(P2×C4q+2) ≤ 2q+2. As in Case 1, we get ⌈8q+41+3 ⌉ ≤ γ(G) ≤
2q +2. Thus γ(P2 ×C4q+2) = 2q +1 or 2q +2. We now claim that
γ(P2×C4q+2) = 2q+2. We prove by induction on q. When q = 1, we
observe that γ(P2×C4q+2) = 4 = 2q+2. Assume the result for q−1.
Thus we have γ(P2×C4(q−1)+2) = 2(q−1)+2. That is γ(P2×C4q−2) =
2q. Consider the vertices of the γ-set D on the cylinder. Let V (P2×
C4q−2) = {u1, u2, u3, ......u4q−2, v1, v2, v3, ......v4q−2}. Without loss of
generality assume that ui ∈ D. Now sub-divide the edge uiui+1 four
times so as to get the new vertices u′
1, u′
2, u′
3, u′
4. Similarly sub-divide
the edge vivi+1 four times so as to get the new vertices v′
1, v′
2, v′
3, v′
4.
Now join the vertices u′
iv′
i for i = 1, 2, 3, 4. we shall note that the
4.7. INVERSE DOMINATION IN P2 × CN GRID GRAPHS 79
new graph obtained is nothing but P2×C4q+2. Let D1 = D∪{u′
4, v′
2}.
The vertices u′
4, v′
2 dominates all the new vertices except u′
1, which
is dominated by ui and the vertex u′
4 ∈ D1 dominates ui+1 which is
dominated by ui. Hence D1 is a dominating set of P2 × C4q+2 and
no set with fewer vertices than D1 can dominate P2 × C4q+2. Thus
D1 is the required γ-set of P2×C4q+2. Hence γ(P2×C4q+2) = 2q+2.
Therefore AqB2 gives a γ-set. Note that the same block gives an
inverse dominating set with 2q+2 vertices. Hence γ′
(P2×C4q+2) =
2q + 2.
Case 4 When n ≡ 3(mod 4), n = 4q + 3 for some integer
q ≥ 0. Here, the block AqB3 gives a dominating set with 2q + 2
vertices. Hence γ(P2 × C4q+3) ≤ 2q + 2. As mentioned earlier, we
get ⌈8q+61+3 ⌉ ≤ γ(G) ≤ 2q+2. Thus γ(P2×C4q+3) = 2q+2. Here also
the same block AqB3 gives an inverse dominating set with 2q + 2
vertices. Hence we get γ′
(P2 × C4q+3) = 2q + 2. Thus in all the
cases, we see that γ(P2 × Cn) = γ′
(P2 × Cn).
Hence we have proved the following theorem.
Theorem 4.7.1. γ′
(P2 × Cn) =
⌈n2⌉ if n ≡ 0 (mod 4)
⌈n+12 ⌉ otherwise.
80 CHAPTER 4. INVERSE DOMINATION IN GRID GRAPHS
Chapter 5
Inverse Domination Saturation
Number
In this chapter, we discuss about the inverse domination saturation
number and the corresponding inverse domination saturation set of
a graph. The concepts of domination saturation and domination
saturation number ds(G) were introduced by B.D. Acharya [1]. It
was noted that γ(G) ≤ ds(G) ≤ γ(G) + 1. A graph G is said to be
of class I with respect to domination saturation if ds(G) = γ(G),
where as G is said to be of class II if ds(G) = γ(G) + 1 [2].
In this chapter, we introduce the concept of inverse domination
saturation number. As in domination saturation, we classify graphs
into type I and type II inverse domination saturated graphs. Also
we introduce inverse domination unsaturation and we classify type
I and type II inverse domination unsaturated graphs.
In section 6.2, we give a motivation to define inverse domination
saturation number of a graph. We define and give some examples
for inverse domination saturation, inverse domination unsaturation
and inverse domination saturation number with respect to a vertex
and that to a graph. Also we give some results related to inverse
81
82 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
domination saturation and classify into type I and type II inverse
domination saturated graphs. In section 6.3, we give some results
related to inverse domination unsaturation and classify into type I
and type II inverse domination unsaturated graphs.
5.1 Classification of Inverse Domination Satu-
ration
In this section, we classify the inverse domination saturation into
two classes.
Example 5.1.1. Let G = C5 be the cycle on five vertices and let
V (C5) = {1, 2, . . . , 5}. Here D = {2, 5} is a γ- set of G. D1′
=
{1, 4} and D2′
= {1, 3} are γ′
-sets of G with respect to D. One
can note that D is an inverse dominating set with respect to a γ-set
D1′
of G. Hence D is also a γ′
-set of G. Thus each vertex of G is
contained in a γ′
-set of G.
Example 5.1.2. Consider the path P5 with V (P5) = {1, 2, . . . , 5}.
Here D = {2, 5} is a γ-set of G and D′ = {1, 4} is a γ′
-set of G and
vice versa. Note that there is no γ′
-set of P5 containing the vertex
3. However {1, 3, 4} is an inverse dominating set with respect to D
which contains 3.
Example 5.1.3. Consider the graph G = K1,n with V (K1,n) =
{ 0, 1, 2, . . . , n}. Let 0 be the vertex of degree n. Then D = {0}
is the γ-set of G and D′ = {1, 2, . . . n} is the γ′
-set of G. One can
realize that 0 is not contained in any inverse dominating set of G
and so 0 is not contained in any γ′
-set of G.
5.1. CLASSIFICATION OF INVERSE DOMINATION SATURATION 83
After realizing these examples, we consider the following cases:
(i) There are graphs for which each vertex is contained in some
γ′
-set.
(ii) There are graphs for which some vertices are contained in some
inverse dominating set but not contained in any γ′
-set of G.
(iii) There are graphs in which some vertices are neither contained
in any γ′
-set of G nor in any inverse dominating set of G.
Hence we define inverse domination saturation of a vertex and
inverse domination saturation of a graph.
Definition 5.1.4. Let G be a connected graph and u ∈ V (G). Then
u is said to be inverse domination saturated if there exists an inverse
dominating set containing u, and is said to be inverse domination
unsaturated if there exists no inverse dominating set containing u.
Example 5.1.5. Every vertex of C5 is inverse domination satu-
rated.
Example 5.1.6. Let u be a vertex of a tree T , which is adjacent to
at least two pendent vertices. Then u lies in every γ-set of T . Hence
there exists no inverse dominating set containing u. Therefore u is
inverse domination unsaturated.
Definition 5.1.7. Let G be a connected graph and let u ∈ V (G).
Define d′S(u) by
d′S(u) =
Min{|S′
| : where S ′ is an inverse dominating set of G
containing u}
0 if no such set exists.
84 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
Example 5.1.8. Consider G = K1,n. Let u be the vertex of degree
n. Then D′S(u) = 0 and D′S(v) = n for every vertex v ∈ V (G) −
{u}.
Example 5.1.9. Consider the graph P8. Let V (P8) = {1, 2, . . . , 8}
and let {1, 8} be the pendant vertices. Then D = {2, 5, 8} is a γ-set
and D′ = {1, 4, 7} is a γ′
-set of P8 and vice versa. Hence D′S(i) = 3
for i = 1, 2, 4, 5, 7, 8. Note that there is no γ′
-set containing 3 or
6. But {1, 3, 6, 7} is an inverse dominating set containing 3 and 6.
Hence D′S(i) = 4 for i = 3, 6.
Definition 5.1.10. Let G be a connected graph. Then G is said
to be an inverse domination saturated, if each vertex u ∈ V (G) is
inverse domination saturated and is said to be an inverse domination
unsaturated if at least one vertex u ∈ V (G) is inverse domination
unsaturated.
Example 5.1.11. (i) All cycles Cn are inverse domination satu-
rated.
(ii) The corona H ◦ K1 is inverse domination saturated for any
graph H.
(iii) K1,n is inverse domination unsaturated.
Definition 5.1.12. Let G be an inverse domination saturated graph.
Then the inverse domination saturation number D′S(G) is defined
by
D′S(G) = Maxu∈V (G)
{D′S(u)}.
5.1. CLASSIFICATION OF INVERSE DOMINATION SATURATION 85
Example 5.1.13. Consider the Peterson graph given in Figure 5.1.
s1
s7
s6 s5
s2
s8
s4 s3
s
10
s
9
@@
@@
@@�
��
��
�AA
AA
AA�
��
��
�
������
CCCCCC
QQQ
��
���
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AA
A
Figure 5.1: Peterson graph
Here D1 = {1, 2, 10}, D2 = {4, 5, 8} and D3 = {1, 5, 9} are γ-
sets. Also D′
1 = {3, 4, 7}, D′
2 = {2, 3, 6} and D′
3 = {3, 4, 7} are
the γ′
-sets. Therefore for each i (1 ≤ i ≤ 10) there exists a γ′
-set
containing i. Thus for 1 ≤ i ≤ 10, D′S(i) = 3 and so D′S(G) = 3.
Also note that γ′
(G)=3.
Remark 5.1.14. A connected graph G is inverse domination sat-
urated if and only if there exists a γ-set not containing v for some
v ∈ V (G). Also for a connected graph G, if γ(G) = γ ′(G), then G
is inverse domination saturated.
The following example shows that the converse of Remark 5.1.14
is not true.
Example 5.1.15. Consider the graph given in Figure 5.2.
86 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
t 8
t7
t
4
t
5
t
3
t
1
t
2
t
9t
10
t
11
t
12
t 6 @@
@@
��
��
��
��
��
��
@@
@@
@@
@@
Figure 5.2: Inverse domination saturated graph
Then D1 = {1, 4, 7, 11}, D2 = {2, 5, 6, 11}, D3 = {2, 7, 9, 12} are
γ-sets of G and D′
1,1 = {2, 5, 6, 9, 10}, D′
1,2 = {2, 5, 8, 10, 12}, D′
2,1 =
{1, 4, 7, 10, 12}, D′
2,2 = {1, 3, 7, 9, 10, }, D′
3,1 = {3, 4, 6, 8, 11} and
D′
3,2 = {1, 4, 5, 6, 11} are the corresponding γ′
- sets of G. Thus
each vertex in G is inverse domination saturated. Hence the graph
G is inverse domination saturated. But γ(G) 6= γ ′(G).
5.1. CLASSIFICATION OF INVERSE DOMINATION SATURATION 87
Lemma 5.1.16. Let G be a connected graph with γ(G) = γ ′(G).
Then γ ′(G) ≤ D′S(G) ≤ γ ′(G) + 1.
Proof. Let G be a connected graph with γ(G) = γ ′(G). Then by
Remark 5.1.14, G is an inverse domination saturated graph.
Case 1 Suppose that Dv′
is a γ ′-set containing v, for each
v ∈ V (G), then D′S(v) = γ ′(G) for each vertex v ∈ V (G). Then
D′S(G) = γ ′(G).
Case 2 Suppose that there exists a vertex, say u ∈ V (G), such
that there exists no γ′
-set containing u. Let T and T′
be a γ-
set and a γ′
-set of G respectively. Then u /∈ T ∪ T′
. Therefore
T′
∪{u} is the smallest inverse dominating set containing u. Hence
D′S(G) = Max{D′S(u)} for u ∈ V (G), implies that D′S(G) =
γ ′(G) + 1. Thus D′S(G) = γ ′(G) or γ ′(G) + 1. Hence γ ′(G) ≤
D′S(G) ≤ γ ′(G) + 1.
Proposition 5.1.17. Let G(6= Kn) be a connected graph with at
least two dominating vertices. Then D′S(G) = γ ′(G) + 1=2.
Proof. Since G has at least two dominating vertices, say u, v, we
have γ(G) = γ ′(G)=1. Then D = {u} is a γ-set of G and D′ = {v}
is a γ′
-set of G. Since G 6= Kn, there exists at least one vertex say
w ∈ V (G), such that d(w) < n− 1. Hence D′ ∪ {w} is the smallest
inverse dominating set containing w. Therefore D′S(w) = γ ′(G)+1.
Thus D′S(G) = γ ′(G) + 1=2.
Definition 5.1.18. An inverse domination saturated graph G is
said to be type I inverse domination saturated if D′S(G) = γ ′(G)
and it is said to be type II inverse domination saturated otherwise.
88 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
Example 5.1.19. Kn (n ≥ 2) and P4 are type I inverse domination
saturated.
Example 5.1.20. Note that γ′
(P5) = 2 and D′S(P5) = 3. Hence
P5 is type II inverse domination saturated.
Theorem 5.1.21. For all n ≥ 3, Cn is type I inverse domination
saturated.
Proof. In view of Theorem 1.2.3, there exists a γ′
-set containing
each vertex of Cn. Hence Cn is type I inverse domination saturated
for all n.
Lemma 5.1.22. For n ≥ 3, Pn is inverse domination saturated if
and only if n 6≡ 0(mod 3). Also Pn is type I inverse domination sat-
urated if n ≡ 1(mod 3) and is type II inverse domination saturated
if n ≡ 2(mod 3).
Proof. Assume that Pn is inverse domination saturated and let
V (Pn) = {1, 2, . . . 3k}. Suppose n ≡ 0(mod 3). Then n = 3k
for some k. Also D = {2, 5, 8, . . . 3k − 1} is a γ-set of G, and
D1′
= {1, 4, 7, . . . 3k − 2, 3k} and D2′
= {1, 3, 6, 9, . . . 3k} are γ′
-
sets of P3k. Note that γ(G) = k and γ ′(G) = k + 1 and that there
exists an inverse dominating set containing each element of V −D.
But there exists no inverse dominating set containing any element of
D, since D is the only γ-set of G. Hence P3k is inverse domination
unsaturated. Therefore n 6≡ 0(mod 3). Conversely, assume that
n 6≡ 0(mod 3). Then either n ≡ 1(mod 3) or n ≡ 2(mod 3).
Case (i) When n ≡ 1(mod 3), n = 3k + 1 for some k ≥ 1. Then
D = {1, 4, 7, . . . 3k − 2, 3k + 1} is a γ-set of G, with k + 1 elements
5.1. CLASSIFICATION OF INVERSE DOMINATION SATURATION 89
and D1′
= {2, 5, 8, . . . 3k − 1, 3k}, D2′
= {2, 3, 6, 9, . . . 3k} are
γ′
-sets of G. Note that D is an inverse dominating set of G with
respect to D1′
. Since |D| = |D1′
| = k + 1, D is also a γ′
-set of G.
Hence for each i ∈ V (G), there exists a γ′
-set containing i. Thus
P3k+1 is type I inverse domination saturated.
Case (ii) When n ≡ 2(mod 3), n = 3k + 2 for some k ≥ 1.
Then D = {1, 4, 7, . . . , 3k + 1} is a γ-set of G, with k + 1 elements
and D1′
= {2, 5, 8, . . . , 3k + 2}, is a γ′
-set of G. Note that D is
an inverse dominating set of G with respect to D1′
and also that
|D| = |D1′
| = k + 1. Therefore D is also a γ′
-set of G. Hence for
each i ∈ (D ∪ D′), there exists a γ′
-set containing i. But for the
vertices of the form 3i, there exists no γ′
-set containing it. However
D2′
= {2, 3, 6, 9, . . . , 3k, 3k + 2} is an inverse dominating set with
respect to D containing the vertices of the form 3i. Also note that
|D2′
| = k + 2 = γ ′(G) + 1. Therefore P3k+2 is type II inverse
domination saturated.
Theorem 5.1.23. Let G be a connected graph with γ(G).d(G) = n,
where d(G) is the domatic number of G. Then G is type I inverse
domination saturated.
Proof. Let D1, D2, D3, . . . Dd be a domatic partition of V (G) into
dominating sets. Therefore |Di| ≥ γ(G), for each i. Hence n =∑d
i=1 |Di| ≥ |Di|d(G) ≥ γ(G)d(G) = n. This implies that |Di| =
γ(G), for all i. Hence each Di is a γ-set of G. Then each Di is an
inverse dominating set with respect to Dj, for i 6= j, and hence a
γ′
-set of G. Thus each vertex in G lies in a γ′
- set of G. Hence G
is type I inverse domination saturated.
90 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
Remark 5.1.24. The converse of the Theorem 5.1.23 is not true
in general. For, consider the cycle C5. Let V (C5) = {1, 2, 3, 4, 5}.
Then D = {1, 4} is a γ-set and D1′
= {2, 5} and D2′
= {3, 5} are
γ′
sets containing each vertex of V (G)−D. Also note that D is an
inverse dominating set of G with respect to D′
1 and hence a γ′
-set of
G. Thus there exists a γ′
-set containing each vertex of C5. Hence
C5 is type I inverse domination saturated. But γ(G).d(G) 6= n since
γ(G) = 2 and d(G) = 2.
Theorem 5.1.25. Let G be a regular graph and domatically full.
Then G is type I inverse domination saturated.
Proof. Let G be a k-regular graph which is domatically full. Then
d(G) = δ(G) + 1 = k + 1. Let D1, D2, . . . , Dδ(G)+1 be a domatic
partition of G. Let u ∈ V (G) be any vertex. Then either u ∈ Di
or exactly one of its neighbors is in Di, for each i, since each Di is
a dominating set. Also for i 6= j, each vertex in Di is adjacent to
exactly one vertex in Dj. For if, a vertex in Di is adjacent to more
than one vertex in Dj, then since d(u) = k and there are k other
sets Di, u cannot be adjacent to any vertex in some set Dk. Also
note that |Di| = |Dj| for all i, j. For if, |Di| < |Dj| for some i 6= j,
then there are at least two vertices in Dj that are adjacent to one
vertex in Di, which gives a contradiction.
Next we claim that |Di| = γ, for all i. Clearly |Di| ≥ γ. Sup-
pose |Di| ≥ γ + 1 for some i, then n ≥ kγ + (γ + 1). That is
n ≥ (k + 1).γ(G) + 1, which implies γ(G) < n(k+1) = n
(∆(G)+1) , a
contradiction to γ ≥ n(∆(G)+1) . Hence |Di| = γ, for each i. Thus
∑
|Di| = n implies that γ(G)d(G) = n, where d(G) is the domatic
number of G. Then by Theorem 5.1.23, G is type I inverse domi-
nation saturated.
5.2. CLASSIFICATION OF INVERSE DOMINATION UNSATURATION 91
Remark 5.1.26. The converse need not be true in general. Con-
sider the graph G = C5. Clearly G is a regular graph which is type
I inverse domination saturated. But here, d(G) = 2 6= δ(G) + 1.
Therefore G is not domatically full.
5.2 Classification of Inverse Domination Unsat-
uration
In this section, we classify the inverse domination unsaturation into
type I inverse domination unsaturation and type II inverse domina-
tion unsaturation.
Example 5.2.1. Consider a twin star graph G in Figure 5.3 with
V (G) = {1, 2, . . . , 8}.
s
1
s
2
s
3
s4
s5
s6
s7
s
8
@@
@
��
�
@@
@
��
�
Figure 5.3: Twin star graph
Here D = {4, 5} is the γ-set of G and D′ = {1, 2, 3, 6, 7, 8} is
the γ′
−set of G. One can note that the vertices of D is neither
contained in a γ′
−set of G nor in an inverse dominating set of G.
Hence G is inverse domination unsaturated.
Example 5.2.2. Consider the 3-regular graph given in Figure 5.4.
Then D = {1, 4, 9, 14} is a γ-set of G. Also D1′
= {2, 5, 7, 8, 13, 15}
and D2′
= {3, 6, 7, 10, 12, 16} are γ′
-sets of G. Also note that
92 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
s3
s
2
s6
s4 s5
@@
@
@@
@
@@
@@
@@
s
16s
15
s
13s
14
s
12s
1s
11
��
��
��
��
�
��
�s
7s
8
s
9s
10
��
�
��
�
@@
@��
��
��
@@
@@
@@
��
��
��
@@
@@
@@
Figure 5.4: A 3-regular graph
T = {1, 5, 8, 15} is a γ-set of G, T1′
= {2, 4, 7, 9, 13, 14} and
T2′
= {3, 6, 7, 11, 12, 16} are γ′
-sets of G. Thus D′S(i) = 6, for
i = 2 to 16. But D′S(1) = 0. Hence G is inverse domination
unsaturated.
5.2. CLASSIFICATION OF INVERSE DOMINATION UNSATURATION 93
From these examples we infer that the class of inverse domina-
tion unsaturated graphs are of two types. This motivates to define
type I inverse domination unsaturated graphs and type II inverse
domination unsaturated graphs.
Definition 5.2.3. An inverse domination unsaturated graph is said
to be type I inverse domination unsaturated, if there exists no in-
verse dominating set containing any vertex of a γ-set of G, and is
said to be of type II inverse domination unsaturated if there exists
an inverse dominating set containing at least one vertex of every
γ-set of G.
Example 5.2.4. K1,n is type I inverse domination unsaturated.
Example 5.2.5. P6 is type I inverse domination unsaturated. For,
D = {2, 5, } is a γ-set of P6 and D1′
= {1, 4, 6} and D2′
= {1, 3, 6}
are the γ′
-sets of P6. Hence there is no inverse dominating set
containing the vertices of the γ-set.
Example 5.2.6. The 3-regular graph cited above in Figure 5.4
is type II inverse domination unsaturated. For, as seen in exam-
ple 5.2.2, the vertex 1 is the only vertex in the γ-set of G, that is
not contained in any inverse dominating set of G.
Remark 5.2.7. In view of Lemma 5.1.22, Pn is type I inverse dom-
ination unsaturated if and only if n ≡ 0(mod 3).
Theorem 5.2.8. A wounded spider G is type II inverse domination
unsaturated if and only if γ(G) 6= ∆(G).
94 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
Proof. Let G be a wounded spider which is inverse domination
unsaturated. Since G is a wounded spider, by Theorem 2.1.11
we have γ ′(G) = ∆(G). Suppose γ(G) = ∆(G), then we get
γ(G) = γ ′(G). By Remark 5.1.14, G is inverse domination sat-
urated, which is a contradiction. Hence γ(G) 6= ∆(G). Con-
versely, let G be a wounded spider with γ(G) 6= ∆(G). Since
γ ′(G) = ∆(G) for a wounded spider and γ(G) 6= ∆(G), we see
that at most ∆ − 2 edges of K1,∆(G) are sub-divided. Let V (G) =
{v, 1, 2, . . .∆, v1, v2, . . . vk}, where 1, 2, . . . , ∆ are the vertices inci-
dent with v and each vi is adjacent with i for i = 1, 2, 3, . . . , k ≤
∆ − 2. Then we see that D = {v, v1, v2, . . . , vk} is a γ-set and
D′ = {1, 2, . . . ∆} is a γ′
-set of G. Also T = {v, 1, 2, . . . , k} is a
γ-set and T′
= {v1, v2, . . . , vk, k + 1, . . . , ∆} is a γ′
-set of G. How-
ever there is no inverse dominating set containing v. Hence G is
type II inverse domination unsaturated.
Theorem 5.2.9. Let G be a connected graph. Then G is type I
inverse domination unsaturated if and only if G has a unique γ-set.
Proof. Let G be a connected graph such that G is type I inverse
domination unsaturated. Then there exists no inverse dominating
set containing any vertex of at least one γ-set say D of G. Suppose
G has more than one γ-set, then we have the following cases.
Case(i) Suppose that there exists at least two disjoint γ-sets
say D1 and D2. Since Dj ⊆ V (G) − Di, for i, j = 1, 2 and i 6= j,
each vertex of Di, for i = 1, 2 and lies in the inverse dominating set
V (G) − Dj. Also each vertex of V (G) − Di, for i = 1, 2 lies in the
inverse dominating set Dj ∪ {x}. Hence G is inverse domination
saturated, a contradiction.
5.2. CLASSIFICATION OF INVERSE DOMINATION UNSATURATION 95
Case (ii) Let D1 and D2 be any two γ-sets with D1 ∩ D2 6= ∅.
Then each vertex of D1 − D2 lies in the inverse dominating set
V (G)−D2 and each vertex of D2−D1 lies in the inverse dominating
set V (G) − D1. Thus at least one vertex in each Di, for i = 1, 2
is inverse domination saturated. Hence G is not type I inverse
domination unsaturated, a contradiction. Therefore G has a unique
γ - set.
Conversely, assume that G has an unique γ - set, say D. Then
trivially there exists no inverse dominating set containing any vertex
of D. Hence G is type I inverse domination unsaturated.
Theorem 5.2.10. Let G be a connected graph which is type I in-
verse domination unsaturated. Then there exists an inverse domi-
nating set D′ in which at least one vertex has no private neighbor
other than itself with respect to D′.
Proof. Let G be a connected graph which is type I inverse domi-
nation unsaturated. Then by Theorem 5.2.9, G has a unique γ-set
say D. Then by Lemma 1.2.10, every vertex in D has at least two
private neighbors other than itself. Let D′ = V (G) − D. Then any
vertex x ∈ D is not a private neighbor of any vertex in D′. Hence
at least one vertex in D′ has no private neighbors other than itself
with respect to D′.
Corollary 5.2.11. Let G be a connected graph which is type I in-
verse domination unsaturated. Then there exists a γ-set D in which
no vertex is a private neighbor of any vertex with respect to an in-
verse dominating set D′.
96 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
Proposition 5.2.12. Let G be a connected graph which is type I
inverse domination unsaturated. Then there exists a γ-set D, such
that γ(G − x) ≥ γ(G), for all x ∈ D.
Proof. Let G be a connected graph which is type I inverse domi-
nation unsaturated. Then by Theorem 5.2.9, G has a unique γ-set
say, D. Now by Lemma 1.2.13, γ(G−x) ≥ γ(G), for all x ∈ D.
5.2. CLASSIFICATION OF INVERSE DOMINATION UNSATURATION 97
Bibiliography
[1] B. D. Acharya, The strong domination number of a Graph,
J.Math. Phys.Sci., 14(5), 1980.
[2] S. Arumugam and R. Kala, Domination parameters of hyper-
cubes, J. Indian Math. Soc., 65:31-38, 1998.
[3] D. W. Bange, A. E. Barkauskas and P. J. Slater, A constructive
characterization of trees with two disjoint minimum dominat-
ing sets, Congr. Numer., 21:101-112, 1978.
[4] C. Berge, Graphs and hyper graphs, North - Holland Publish-
ing, Amsterdam, 1973.
[5] J. Bondy and U. S. R. Murty, Graph theory with applications,
The Macmillan Press Ltd., 1976.
[6] T. Y. Chang and W. E. Clark, The domination numbers of the
5×n and the 6×n grid graphs, J. Graph Theory, 17(1):81–107,
1993.
[7] T. Y. Chang, W. E. Clark and E. O. Hare, Domination numbers
of complete grid graphs: I, Ars Combin., 38:97-111, 1994.
[8] G. Chartrand and P. Zhang, Introduction to graph theory, Tata
McGraw-Hill, New Delhi, 2006.
[9] E. J. Cockayne, S. T. Hedetniemi and R. Laskar, Gallai theo-
rems for graphs, hyper graphs and set systems, Discrete Math.,
72:35–47, 1988.
[10] E. J. Cockayne, T. W. Haynes and S. T. Hedetniemi, Extremal
graphs for inequalities involving domination parameters, Dis-
crete Math., 216:1–10, 2000.
98 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
[11] E. J. Cockayne, E. O. Hare, S. T. Hedetniemi and T. V. Wimer,
Bounds for the domination number of grid graphs, Congr. Nu-
mer., 47:217–228, 1985.
[12] I. J. Dejter and O. Serra, Efficient dominating sets in Cayley
graphs, Discrete Appl. Math., 129:319-328, 2003.
[13] G. S. Domke, J. E. Dunbar and L. Markus, Gallai-type theo-
rems and domination parameters, Discrete Math., 167:237–248,
1997.
[14] G. S. Domke, J. E. Dunbar and L. R. Markus, The inverse
domination number of a graph, Ars Combin., 72:149–160, 2004.
[15] J. F. Fink, M. S. Jacobson, L. F. Kinch and J. Roberts, On
graphs having domination number half their order, Period.
Math. Hungar., 16:287–293, 1985.
[16] R. Frucht and F. Harary, On the corona of two graphs, Aequa-
tiones Math., 4:322–324, 1970.
[17] D. L. Grinstead and P. J. Slater, On minimum dominating sets
with minimum intersection, Discrete Math., 86:239–254, 1990.
[18] D. L. Grinstead and P. J. Slater, On the minimum intersec-
tion of dominating sets in series-parallel graphs, Graph Theory,
Combinatorics and Applications, 1:563–584, 1991.
[19] G. Gunther, B. Hartnell and D. F. Rall, Graphs whose vertex
independence number is unaffected by single edge addition or
deletion, Discrete Appl. Math., 46:167–172, 1993.
[20] G. Gunther, B. Hartnell and L. R. Markus, Graphs with Unique
Minimum Dominating Sets, Congr. Numer., 101:55-63, 1994.
5.2. CLASSIFICATION OF INVERSE DOMINATION UNSATURATION 99
[21] F. Harary, Graph Theory, Addison - Wesley, Reading, MA,
1969.
[22] E. O. Hare, S. T. Hedetniemi and W. R. Hare, Algorithms
for computing the domination number of k × n complete grid
graphs, Congr. Numer., 55:81–92, 1986.
[23] T. W. Haynes, S. T. Hedetniemi and P.J. Slater, Fundamentals
of domination in graphs, Marcel Dekker Inc., New York, NY,
1998.
[24] T. W. Haynes and M. A. Henning, Trees with two disjoint min-
imum independent dominating sets, Discrete Math., 304:69–78,
2005.
[25] S. M. Hedetniemi, S. T. Hedetnimi, R. C. Laskar, L. Markus
and P.J. Slater, Disjoint dominating sets in graphs, Proceed-
ings of the International Conference on Discrete Mathematics.
Ramanujan Mathematical Society Lecture Notes Series, 7:87-
100, 2008.
[26] M. S. Jacobson and L. F. Kinch, On the domination number
of products of graphs: I, Ars combin., 18:33–44, 1983.
[27] M. S. Jacobson and L. F. Kinch, On the domination number
of products of graphs: II Trees, J. Graph Theory, 10:97–106,
1986.
[28] V. R. Kulli and A. Sigarkanti, Inverse domination in graphs,
Nat. Acad. Sci-letters, 14:473–475, 1991.
[29] S. Lakshmivarahan and S. K. Dhall, Rings, torus and hyper-
cubes architectures/algorithms for parallel computing, Parallel
Comput., 25:1877-1906, 1999.
100 CHAPTER 5. INVERSE DOMINATION SATURATION NUMBER
[30] C. Lowenstein and D. Rautenbach, Pairs of disjoint dominat-
ing sets and the minimum degree of graphs, Graphs Combin.,
26:407–424, 2010.
[31] C. Lowenstein and D. Rautenbach, Pairs of disjoint domi-
nating sets in connected cubic graphs, Graphs Combin., DOI
10.1007/s00373-011-1050-1.
[32] O. Ore, Theory of graphs, Amer. Math. Soc. Colloq. Publ.
Providence, RI, 38, 1962.
[33] C. Payan and N. H. Xuong, Domination-balanced graphs, J.
Graph Theory, 6:23–32, 1982.
[34] B. Randerath and L. Volkmann, Characterization of graphs
with equal domination and covering number, Discrete Math.,
191:159–169, 1998.
[35] T. Tamizh Chelvam and G. S. Grace Prema, Equality of dom-
ination and inverse domination numbers, Ars Combin., 95:
103–111, 2010.
[36] T. Tamizh Chelvam and T. Asir, Graphs with constant sum of
domination and inverse domination numbers, Int. J. Combin.,
Article ID 831489, 7 pages, 2012.
[37] B. Zelinka, Domatic numbers of graphs and their invariants: A
survey in Domination in Graphs, Editors: T. W. Haynes, S. T.
Hedetniemi and P. J. Slater, 351-378, 1998.
[38] M. Zwierzchowski, The domination parameters of the corona
and its generalization, ARS Combin., 72:171–180, 2004.