splitting property via shadow systems
DESCRIPTION
Splitting property via shadow systems. Kristóf Bérczi MTA-ELTE Egerv á ry Research Group on Combinatorial Optimization Erika R. Kovács Department of Operations Research E ö tv ö s Lor á nd University Péter Csikvári Department of Computer Science E ö tv ö s Lor á nd University - PowerPoint PPT PresentationTRANSCRIPT
Splitting property via shadow systems
Kristóf BércziMTA-ELTE Egerváry Research
Group on Combinatorial Optimization
Erika R. KovácsDepartment of Operations
ResearchEötvös Loránd University
Péter CsikváriDepartment of Computer
ScienceEötvös Loránd University
László A. VéghDepartment of ManagementLondon School of Economics
VeszprémJune 2013
Outline of the talk
• Splitting property and multisets• Tuza’s conjecture• Turán numbers
Splitting property
(P,<) partially ordered set, H ⊆ PU(H) = {x∈P: ∃h∈H: x ≥ h} is the upper shadow of HL(H) = {x∈P: ∃h∈H: x ≤ h} is the lower shadow of H
Definition
Maximal antichain A has the splitting property, if ∃ partition A1 ⋃A2=A with U(A1) ⋃ L(A2) = P.(P,<) has the splitting property if every maximal antichain does.
Definition
H
Splitting property
Every dense maximal antichain in a finite poset has the splitting property.
Theorem (Ahlswede, Erdős and Graham ’95)
It is NP-hard to decide whether a given poset has the splitting property.
Theorem (Ahlswede, Erdős and Graham ’95)
A a
y
x
a’
Multisets Colours: = {1,…,k}
Multiset over : a multiset over : set of multisets over : sets in with r elementsa,c ∈ , a<c: a i ≤ ci i and a≠c (partial order on ) a is a lower shadow of cColour profile: vector encoding the multiset
Definition
1
1
2
22
233
3 33
2
∈ (2,3,1)(0,2,4)
has the splitting property.
Theorem (BCsKV ’12) 4
1
3
41
3 22
4
1
23
NOT DENSE!
Multisets 𝐌𝐤 ❑
𝐌𝐤 𝐤
𝐌𝐤 𝐤
+𝟏
𝐌𝐤 𝐤−𝟏
𝑨𝟏𝐤
𝑨𝟐𝐤
U()
L()
Proof
11
43
(2,0,1,1)
2
01
1
-1
2
0
1-1
20-1
1red red red
If result is → goes to
If result is → goes to
1
111
Tuza’s conjectureUndirected, simple graph G=(V,E).
Triangle packing: a set of pairwise edge-disjoint triangles.Triangle cover: a set of edges sharing an edge with all triangles.ν(G) = max cardinality of a triangle packingτ(G) = min cardinality of a triangle cover
Definition
ν(G) = 2τ(G) = 3
Tuza’s conjecture
τ(G) ≤ 2ν(G)
Conjecture (Tuza ‘81)
Best possible:
K4
K5
K5
K5 K
4K4
maximal 2-connected subgraphs
• Determining ν(G) and τ(G) are NP-complete
(Holyer ’81) (Yannakakis ’81)
Proved for various classes of graphs:• planar graphs• graphs with n nodes and ≥ n2 edges• chordal graphs without large complete subgraphs• 2-shadows of hypergraphs having girth at least 4• line-graphs of triangle-free graphs• τ(G) ≤ ν(G) for tripartite graphs • planar graphs not containing K4 ’s as subgraphs• each edge is contained in at most two triangles• odd-wheel-free graphs• triangle-3-colorable graphs
ν*(G)=
Tuza’s conjecture τ(G) ≤ (3-ε)ν(G) ( ε > )
Theorem (Haxell ‘99) τ(G) ≤ 2τ*(G)ν*(G) ≤ 2ν(G)
Theorem (Krivelevich ‘95)
τ(G)=3
τ* (G)=3
ν(G)=2
+ + + + 1=3
ν(H) ≤ ν*(H) = τ *(H) ≤τ (H)
r-packings and covers
H=(V,ε) (r-1)-uniform hypergraphr-block: complete sub-hypergraph on r nodesr-packing: set of disjoint r-blocksr-cover: set of hyperedges s.t. each r-block contains at least one
Idea 1
w:ε→R+
weighted r-packing: set of r-blocks s.t. each e is in at most w(e) νw(H) = max cardinality of a weighted r-packingτw(H) = min weight of an r-coverFractional versions ν*w(H) , τ*w(H) can be defined as usual.
Idea 2
(r-1)-uniform complete hypergraph on r+1 nodes and w ≡ 1
Extending the conjecture
τw(H) ≤ νw(H)
Conjecture Best possible:
τw(H) ≤ (r-1) τ *w(H)
Theorem (BCsKV ‘13)
Proof:
1. Colour V with (r-1) colours uniformly at random2. Choose hyperedges with colour profile in
νw(H) ≤ ν*w(H) = τ *w(H) ≤τ w(H)
Multisets 𝐌𝐤 ❑
𝐌𝐤 𝐤
+𝟏
𝐌𝐤 𝐤−𝟏
𝑨𝟏𝐤
𝑨𝟐𝐤
U()
L()
(r-1)-uniform complete hypergraph on r+1 nodes and w ≡ 1
Extending the conjecture
τw(H) ≤ νw(H)
Conjecture Best possible:
τw(H) ≤ (r-1) τ *w(H)
Theorem (BCsKV ‘13)
Proof:
1. Colour V with (r-1) colours uniformly at random2. Choose hyperedges with colour profile in
GIVES AN r-COVER
3. Show that the expected weight is not too large.
νw(H) ≤ ν*w(H) = τ *w(H) ≤τ w(H)
Turán number
Turán (n,t,r)-system: r-uniform hypergraph on n nodes s.t. every t-element subset of nodes spans an edge (r ≤ t ≤ n).T(n,t,r): minimum size of a Turán (n,t,r)-system (Pál Turán ’61).
Definition
Turán (6,5,3)-system
Turán number
tu(t,r) = Definitio
n
For any integers t>r,tu(t,r) ≤
Theorem (Sidorenko ’81)
• No exact value is known for t > r > 2 !!!
• Erdős ’81: $500 for a special, $1000 for the general case
For t=3, r=2 the optimal solution is
Theorem (Mantel 1907)
Weighted Turán number
w: → R+ , w*=w( ).Tw(n,t,r): minimum weight of a Turán (n,t,r)-system.
Definition
tw(t,r) = Definitio
n
For any t> r, tw(t,r) = tu(t,r).
Theorem (BCsKV’12)
Motivation In a weighted graph, there is an edge set with total weight ≤
covering each triangle.
Corollary
Proof:
1. Colour the nodes by two colours uniformly at random.2. Choose edges with endpoints having the same colour.
• e is chosen by probability expected cost of covering is □
Question: similar construction for the general case?
We need:
any t>r nodes spans an edge with choosen colour
profile
Proper choice• choose all edges with colour
profile in an ’extension’ of
Plan to get an (n,t,r)-system
Colour n nodes with r colours uniformly at
random.
Determine which colour profiles to
choose.
Determine the expected number of
choosen edges.
Colour n nodes with t-1 colours
uniformly at random.
2
01
1 0 0
0 0 t-r-
1
We need:
any t>r nodes spans an edge with choosen colour
profile
Choice 1• choose all edges with at
most r-1 colours too large…
Choice 2• choose all edges with colour
profile in still too large…BUT: can be improved!
Thank you for your attention!ご清聴ありがとうございました。