Graph coloring game

From HandWiki
The vertex coloring game on a given graph between Alice and Bob. Here, vertices labeled "A" are colored by Alice, and "B" by Bob. The players take turns (starting with Alice) coloring properly vertices of the graph. If the graph is fully colored properly at the end, Alice wins. If at any point there is a vertex that becomes impossible to properly color, Bob wins.

The game chromatic number χg(G) is the minimum number of colors needed for Alice to win the vertex coloring game on G. For this graph, χg(G)=3, as it is the Cartesian product S5P2[1]
Unsolved problem in mathematics:
Suppose Alice has a winning strategy for the vertex coloring game on a graph G with k colors. Does she have one for k+1 colors?
(more unsolved problems in mathematics)

The graph coloring game is a mathematical game related to graph theory. Coloring game problems arose as game-theoretic versions of well-known graph coloring problems. In a coloring game, two players use a given set of colors to construct a coloring of a graph, following specific rules depending on the game we consider. One player tries to successfully complete the coloring of the graph, while the other one tries to prevent him from achieving it.

Vertex coloring game

The vertex coloring game was introduced in 1981 by Steven Brams as a map-coloring game[2][3] and rediscovered ten years after by Bodlaender.[4] Its rules are as follows:

  1. Alice and Bob color the vertices of a graph G with a set k of colors.
  2. Alice and Bob take turns, coloring properly an uncolored vertex (in the standard version, Alice begins).
  3. If a vertex v is impossible to color properly (for any color, v has a neighbor colored with it), then Bob wins.
  4. If the graph is completely colored, then Alice wins.

The game chromatic number of a graph G, denoted by χg(G), is the minimum number of colors needed for Alice to win the vertex coloring game on G. Trivially, for every graph G, we have χ(G)χg(G)Δ(G)+1, where χ(G) is the chromatic number of G and Δ(G) its maximum degree.[5]

In the 1991 Bodlaender's paper,[6] the computational complexity was left as "an interesting open problem". Only in 2020 it was proved that the game is PSPACE-Complete.[7]


Relation with other notions

Acyclic coloring. Every graph G with acyclic chromatic number k has χg(G)k(k+1).[8]

Marking game. For every graph G, χg(G)colg(G), where colg(G) is the game coloring number of G. Almost every known upper bound for the game chromatic number of graphs are obtained from bounds on the game coloring number.

Cycle-restrictions on edges. If every edge of a graph G belongs to at most c cycles, then χg(G)4+c.[9]

Graph Classes

For a class 𝒞 of graphs, we denote by χg(𝒞) the smallest integer k such that every graph G of 𝒞 has χg(G)k. In other words, χg(𝒞) is the exact upper bound for the game chromatic number of graphs in this class. This value is known for several standard graph classes, and bounded for some others:

Cartesian products. The game chromatic number of the cartesian product GH is not bounded by a function of χg(G) and χg(H). In particular, the game chromatic number of any complete bipartite graph Kn,n is equal to 3, but there is no upper bound for χg(Kn,nKm,m) for arbitrary n,m.[20] On the other hand, the game chromatic number of GH is bounded above by a function of colg(G) and colg(H). In particular, if colg(G) and colg(H) are both at most t, then χg(GH)t5t3+t2.[21]

  • For a single edge we have:[20]
χg(K2Pk)={2k=13k=2,34k4χg(K2Ck)=4k3χg(K2Kk)=k+1
χg(SmPk)={2k=13k=24k3χg(SmCk)=4k3

Open problems

These questions are still open to this date.

More colors for Alice [22]
  • Suppose Alice has a winning strategy for the vertex coloring game on a graph G with k colors. Does she have one for k+1 colors ?
    One would expect the answers to be "yes", as having more colors seems an advantage to Alice. However, no proof exists that this statement is true.
  • Is there a function f such that, if Alice has a winning strategy for the vertex coloring game on a graph G with k colors, then Alice has a winning strategy on G with f(k) ?
    Relaxation of the previous question.
Relations with other notions [22]
  • Suppose a monotone class of graphs (i.e. a class of graphs closed by subgraphs) has bounded game chromatic number. Is it true that this class of graph has bounded game coloring number ?
  • Suppose a monotone class of graphs (i.e. a class of graphs closed by subgraphs) has bounded game chromatic number. Is it true that this class of graph has bounded arboricity ?
  • Is it true that a monotone class of graphs of bounded game chromatic number has bounded acyclic chromatic number ?
Reducing maximum degree [11]
  • Conjecture: Is F is a forest, there exists FF such that Δ(F)χg(F) and χg(F)=χg(F).
  • Let 𝒢 be the class of graphs such that for any G𝒢, there exists GG such that Δ(G)χg(G) and χg(G)=χg(G). What families of graphs are in 𝒢 ?
Hypercubes[20]
  • Is it true that χg(G)=n+1 for any hypercube Qn ?
    It is known to be true for n4.[20]

Edge coloring game

The edge coloring game, introduced by Lam, Shiu and Zu,[23] is similar to the vertex coloring game, except Alice and Bob construct a proper edge coloring instead of a proper vertex coloring. Its rules are as follows:

  1. Alice and Bob are coloring the edges a graph G with a set k of colors.
  2. Alice and Bob are taking turns, coloring properly an uncolored edge (in the standard version, Alice begins).
  3. If an edge e is impossible to color properly (for any color, e is adjacent to an edge colored with it), then Bob wins.
  4. If the graph is completely edge-colored, then Alice wins.

Although this game can be considered as a particular case of the vertex coloring game on line graphs, it is mainly considered in the scientific literature as a distinct game. The game chromatic index of a graph G, denoted by χ'g(G), is the minimum number of colors needed for Alice to win this game on G.

General case

For every graph G, χ(G)χ'g(G)2Δ(G)1. There are graphs reaching these bounds but all the graphs we know reaching this upper bound have small maximum degree.[23] There exists graphs with χ'g(G)>1.008Δ(G) for arbitrary large values of Δ(G).[24]

Conjecture. There is an ϵ>0 such that, for any arbitrary graph G, we have χ'g(G)(2ϵ)Δ(G).
This conjecture is true when Δ(G) is large enough compared to the number of vertices in G.[24]

  • Arboricity. Let a(G) be the arboricity of a graph G. Every graph G with maximum degree Δ(G) has χ'g(G)Δ(G)+3a(G)1.[25]

Graph Classes

For a class 𝒞 of graphs, we denote by χ'g(𝒞) the smallest integer k such that every graph G of 𝒞 has χ'g(G)k. In other words, χ'g(𝒞) is the exact upper bound for the game chromatic index of graphs in this class. This value is known for several standard graph classes, and bounded for some others:

  • Wheels: χ'g(W3)=5 and χ'g(Wn)=n+1 when n4.[23]
  • Forests : χ'g(Δ)Δ+1 when Δ4, and 5χ'g(4)6.[26]
    Moreover, if every tree of a forest F of 4 is obtained by subdivision from a caterpillar tree or contains no two adjacent vertices with degree 4, then χ'g(F)5.[27]

Open Problems

Upper bound. Is there a constant c2 such that χ'g(G)Δ(G)+c for each graph G ? If it is true, is c=2 enough ?[23]

Conjecture on large minimum degrees. There are a ϵ>0 and an integer d0 such that any graph G with δ(G)d0 satisfies χ'g(G)(1+ϵ)δ(G). [24]

Incidence coloring game

The incidence coloring game is a graph coloring game, introduced by Andres,[28] and similar to the vertex coloring game, except Alice and Bob construct a proper incidence coloring instead of a proper vertex coloring. Its rules are as follows:

  1. Alice and Bob are coloring the incidences of a graph G with a set k of colors.
  2. Alice and Bob are taking turns, coloring properly an uncolored incidence (in the standard version, Alice begins).
  3. If an incidence i is impossible to color properly (for any color, i is adjacent to an incident colored with it), then Bob wins.
  4. If all the incidences are properly colored, then Alice wins.

The incidence game chromatic number of a graph G, denoted by ig(G), is the minimum number of colors needed for Alice to win this game on G.

For every graph G with maximum degree Δ, we have 3Δ12<ig(G)<3Δ1.[28]

Relations with other notions

  • (a,d)-Decomposition. This is the best upper bound we know for the general case. If the edges of a graph G can be partitioned into two sets, one of them inducing a graph with arboricity a, the second inducing a graph with maximum degree d, then ig(G)3Δ(G)a2+8a+3d1.[29]
    If moreover Δ(G)5a+6d, then ig(G)3Δ(G)a2+8a+d1.[29]
  • Degeneracy. If G is a k-degenerated graph with maximum degree Δ(G), then ig(G)2Δ(G)+4k2. Moreover, ig(G)2Δ(G)+3k1 when Δ(G)5k1 and ig(G)Δ(G)+8k2 when Δ(G)5k1.[28]

Graph Classes

For a class 𝒞 of graphs, we denote by ig(𝒞) the smallest integer k such that every graph G of 𝒞 has ig(G)k.

  • Paths : For k13, ig(Pk)=5.
  • Cycles : For k3, ig(Ck)=5.[30]
  • Stars : For k1, ig(S2k)=3k.[28]
  • Wheels : For k6, ig(W2k+1)=3k+2. For k7, ig(W2k)=3k.[28]
  • Subgraphs of Wheels : For k13, if G is a subgraph of Wk having Sk as a subgraph, then ig(G)=3k2.[31]

Open Problems

  • Is the upper bound ig(G)<3Δ(G)1 tight for every value of Δ(G) ?[28]
  • Is the incidence game chromatic number a monotonic parameter (i.e. is it as least as big for a graph G as for any subgraph of G) ?[28]

Notes

  1. 1.0 1.1 1.2 1.3 (Sia 2009)
  2. (Gardner 1981)
  3. (Bartnicki et al. 2007)
  4. (Bodlaender 1991)
  5. With less colors than the chromatic number, there is no proper coloring of G and so Alice cannot win. With more colors than the maximum degree, there is always an available color for coloring a vertex and so Alice cannot lose.
  6. (Bodlaender 1991)
  7. (Costa, Pessoa, Soares, Sampaio 2020)
  8. (Dinski Zhu)
  9. (Junosza-Szaniawski Rożej)
  10. (Faigle et al. 1993), and implied by (Junosza-Szaniawski Rożej)
  11. 11.0 11.1 (Dunn et al. 2014)
  12. (Sidorowicz 2007), and implied by (Junosza-Szaniawski Rożej)
  13. (Guan Zhu)
  14. Upper bound by (Zhu 2008), improving previous bounds of 33 in (Kierstead Trotter), 30 implied by (Dinski Zhu), 19 in (Zhu 1999) and 18 in (Kierstead 2000). Lower bound claimed by (Kierstead Trotter). See a survey dedicated to the game chromatic number of planar graphs in (Bartnicki et al. 2007).
  15. (Sekigushi 2014)
  16. (He et al. 2002)
  17. (Raspaud Wu)
  18. (Zhu 2000)
  19. (Faigle et al. 1993)
  20. 20.0 20.1 20.2 20.3 (Peterin 2007)
  21. (Bradshaw 2021)
  22. 22.0 22.1 (Zhu 1999)
  23. 23.0 23.1 23.2 23.3 (Lam Shiu)
  24. 24.0 24.1 24.2 (Beveridge Bohman)
  25. (Bartnicki Grytczuk), improving results on k-degenerate graphs in (Cai Zhu)
  26. Upper bound of Δ+2 by (Lam Shiu), then bound of Δ+1 by (Erdös et al. 2004) for cases Δ=3 and Δ≥6, and by (Andres 2006) for case Δ=5.
  27. Conditions on forests with Δ=4 are in (Chan Nong)
  28. 28.0 28.1 28.2 28.3 28.4 28.5 28.6 (Andres 2009a), see also erratum in (Andres 2009b)
  29. 29.0 29.1 (Charpentier Sopena), extending results of (Charpentier Sopena).
  30. (Kim 2011), improving a similar result for k ≥ 7 in (Andres 2009a) (see also erratum in (Andres 2009b))
  31. (Kim 2011)

References (chronological order)