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A graph game from extremal combinatorics Jan Soukup, Andrej Ded´ ık Supervised by: Sophie Spirkl REU 2019, Rutgers University This research is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 823748. J. Soukup, A. Ded´ ık A graph game from extremal combinatorics REU 2019, Rutgers University 1 / 24

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Page 1: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

A graph game from extremal combinatorics

Jan Soukup, Andrej Ded́ıkSupervised by: Sophie Spirkl

REU 2019, Rutgers University

This research is part of a project that has received funding from the European Union’s Horizon

2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No.

823748.

J. Soukup, A. Ded́ık A graph game from extremal combinatorics REU 2019, Rutgers University 1 / 24

Page 2: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Notation

Graph G := Ordered pair (V ,E ) of vertices and edges.

Kn := Clique on n vertices. I.e. Kn =(V ,

(V2

)).

Independent set in G is a subset of vertices such that no two of themare connected by an edge.

Clique Independent set

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Page 3: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Notation

H is an induced subgraph of G if there exists a subset A of vertices ofG , such that G [A] = H.

H

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Page 4: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

The game

For a given integers m and k ≥ 2, and a fixed graph H consider afollowing game played on a graph G

Definition (Forcing game F(H, k ,m))

We start with a graph G with m vertices and no edges. Then players Aand B take turns, as follows:

Player A either selects an independent set S of size k in G or decidesto stop the game.

Player B modifies G by adding edges with both ends in S ; he mustadd at least one edge, but may add more.

At the end of the game, Player A wins if G contains H as an inducedsubgraph; and Player B wins otherwise.

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Page 5: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example

k = 3

H = K3 (triangle)

m = 6

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Page 6: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 1.

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Page 7: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 1: Player A.

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Page 8: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 1: Player B .

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Page 9: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 2.

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Page 10: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 2. Player A.

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Page 11: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 2. Player B .

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Page 12: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 3.

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Page 13: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 3. Player A.

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Page 14: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 3. Player B .

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Page 15: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 4.

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Page 16: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 4. Player A.

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Page 17: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 4. Player B .

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Page 18: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 5.

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Page 19: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 5. Player A.

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Page 20: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Turn 5. Player B .

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Page 21: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Example. Player A wins.

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Page 22: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Additional definitions

Definition

Let N(H, k) be the minimal m such that player A can always win thegame F(H, k ,m). (No matter how the player B plays).

Definition (Ramsey number)

Let R(t, k) be the smallest n such that every graph on at least n verticescontains either Kt or an independent set on k vertices.

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Page 23: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Known facts

For every k and H, player A wins for every sufficiently large graph.(i.e. N(H, k) <∞).

N(H, k) is bounded from above by some function double exponentialin k .

N(Kt , k) = R(t, k) (i.e. it coincides with the Ramsey number). Andthus it is bounded from below by some function exponential in k .

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Page 24: Jan Soukup, Andrej Ded k Supervised by: Sophie Spirklreu.dimacs.rutgers.edu/~js2687/data/slides.pdf · Jan Soukup, Andrej Ded k Supervised by: Sophie Spirkl REU 2019, Rutgers University

Our goal

Find better bounds for N(H, k).

Explore other variants of the game. For instance when player A doesnot see the graph G and may chose to stop the game in his turn and:

Player A loses when he choses a set which is not independent and hewins if G contains induced H in the end.Player A loses when he choses a set which is not independent and hewins if G contains induced H any time during the game.Turn is skipped if player A choses a set which is not independent andhe wins if G contains induced H in the end.Turn is skipped if player A choses a set which is not independent andhe wins if G contains induced H any time during the game.

For these variants it is not even known if player A can always win onsufficiently large graphs.

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