Graph coloring game

File:Graph coloring game.gif 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 \chi_g(G) is the minimum number of colors needed for Alice to win the vertex coloring game on G. For this graph, \chi_g(G)=3, as it is the Cartesian product S_5 \square P_2{{harvtxt|Sia|2009}}]]

{{unsolved|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?}}

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, when 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{{harvtxt|Gardner|1981}}{{harvtxt|Bartnicki et al.|2007}} and rediscovered ten years after by Bodlaender.{{harvtxt|Bodlaender|1991}} 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 \chi_g(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 \chi(G) \le \chi_g(G) \le \Delta(G) + 1, where \chi(G) is the chromatic number of G and \Delta(G) its maximum degree.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.

In the 1991 Bodlaender's paper,{{harvtxt|Bodlaender|1991}} the computational complexity was left as "an interesting open problem".

Only in 2020 it was proved that the game is PSPACE-Complete.{{harvtxt|Costa, Pessoa, Soares, Sampaio|2020}}

=Relation with other notions=

Acyclic coloring. Every graph G with acyclic chromatic number k has \chi_g(G) \le k(k+1).{{harvtxt|Dinski|Zhu|1999}}

Marking game. For every graph G, \chi_g(G) \le col_g(G), where col_g(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 \chi_g(G) \le 4+c.{{harvtxt|Junosza-Szaniawski|Rożej|2010}}

=Graph Classes=

For a class {\mathcal C} of graphs, we denote by \chi_g({\mathcal C}) the smallest integer k such that every graph G of {\mathcal C} has \chi_g(G) \le k. In other words, \chi_g({\mathcal 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:

  • Forests: \chi_g({\mathcal F}) = 4.{{harvtxt|Faigle et al.|1993}}, and implied by {{harvtxt|Junosza-Szaniawski|Rożej|2010}} Simple criteria are known to determine the game chromatic number of a forest without vertex of degree 3.{{harvtxt|Dunn et al.|2014}} It seems difficult to determine the game chromatic number of forests with vertices of degree 3, even for forests with maximum degree 3.
  • Cactuses: \chi_g({\mathcal C}) = 5.{{harvtxt|Sidorowicz|2007}}, and implied by {{harvtxt|Junosza-Szaniawski|Rożej|2010}}
  • Outerplanar graphs: 6 \le \chi_g({\mathcal O}) \le 7.{{harvtxt|Guan|Zhu|1999}}
  • Planar graphs: 7 \le \chi_g({\mathcal P}) \le 17.Upper bound by {{harvtxt|Zhu|2008}}, improving previous bounds of 33 in {{harvtxt|Kierstead|Trotter|1994}}, 30 implied by {{harvtxt|Dinski|Zhu|1999}}, 19 in {{harvtxt|Zhu|1999}} and 18 in {{harvtxt|Kierstead|2000}}. Lower bound claimed by {{harvtxt|Kierstead|Trotter|1994}}. See a survey dedicated to the game chromatic number of planar graphs in {{harvtxt|Bartnicki et al.|2007}}.
  • Planar graphs of given girth: \chi_g({\mathcal P}_4) \le 13,{{harvtxt|Sekigushi|2014}} \chi_g({\mathcal P}_5) \le 8, \chi_g({\mathcal P}_6) \le 6, \chi_g({\mathcal P}_8) \le 5.{{harvtxt|He et al.|2002}}
  • Toroidal grids: \chi_g({\mathcal TG}) = 5.{{harvtxt|Raspaud|Wu|2009}}
  • Partial k-trees: \chi_g({\mathcal T}_k) \le 3k+2.{{harvtxt|Zhu|2000}}
  • Interval graphs: 2\omega \le \chi_g({\mathcal I}) \le 3\omega-2, where \omega is for a graph the size of its largest clique.{{harvtxt|Faigle et al.|1993}}

Cartesian products.

The game chromatic number of the cartesian product G \square H is not bounded by a function of \chi_g(G) and \chi_g(H). In particular, the game chromatic number of any complete bipartite graph K_{n,n} is equal to 3, but there is no upper bound for \chi_g(K_{n,n} \square K_{m,m}) for arbitrary n, m.{{harvtxt|Peterin|2007}} On the other hand, the game chromatic number of G \square H is bounded above by a function of \textrm{col}_g(G) and \textrm{col}_g(H). In particular, if \textrm{col}_g(G) and \textrm{col}_g(H) are both at most t, then \chi_g(G \square H) \le t^5 - t^3 + t^2.{{harvtxt|Bradshaw|2021}}

  • For a single edge we have:

::\begin{align}

\chi_g(K_2 \square P_k) &= \begin{cases} 2 & k = 1 \\ 3 & k=2,3 \\ 4 & k \ge 4 \end{cases} \\

\chi_g(K_2 \square C_k) &= 4 && k \ge 3 \\

\chi_g(K_2 \square K_k) &= k+1

\end{align}

::\begin{align}

\chi_g(S_m \square P_k) &= \begin{cases} 2 & k = 1 \\ 3 & k=2 \\ 4 & k \ge 3 \end{cases} \\

\chi_g(S_m \square C_k) &= 4 && k \ge 3

\end{align}

=Open problems=

These questions are still open to this date.

{{hidden

|More colors for Alice {{harvtxt|Zhu|1999}}

|* 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.

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{{hidden

|Relations with other notions

|* 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 ?

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}}

{{hidden

|Reducing maximum degree

|* Conjecture: Is F is a forest, there exists F' \subseteq F such that \Delta(F') \le \chi_g(F) and \chi_g(F') = \chi_g(F).

  • Let {\mathcal G} be the class of graphs such that for any G \in {\mathcal G}, there exists G' \subseteq G such that \Delta(G') \le \chi_g(G) and \chi_g(G') = \chi_g(G). What families of graphs are in {\mathcal G} ?

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}}

{{hidden

|Hypercubes

|* Is it true that \chi_g(G) = n+1 for any hypercube Q_n ?
It is known to be true for n \le 4.

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|style=text-align:center;

}}

Edge coloring game

The edge coloring game, introduced by Lam, Shiu and Zu,{{harvtxt|Lam|Shiu|Xu|1999}} 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 \chi'_g(G), is the minimum number of colors needed for Alice to win this game on G.

=General case=

For every graph G, \chi'(G) \le \chi'_g(G) \le 2\Delta(G) -1. There are graphs reaching these bounds but all the graphs we know reaching this upper bound have small maximum degree.

There exists graphs with \chi'_g(G) > 1.008\Delta(G) for arbitrary large values of \Delta(G).{{harvtxt|Beveridge|Bohman|Friezeb|Pikhurko|2008}}

Conjecture. There is an \epsilon > 0 such that, for any arbitrary graph G, we have \chi'_g(G) \le (2-\epsilon)\Delta(G).

This conjecture is true when \Delta(G) is large enough compared to the number of vertices in G.

  • Arboricity. Let a(G) be the arboricity of a graph G. Every graph G with maximum degree \Delta(G) has \chi'_g(G) \le \Delta(G) + 3a(G) - 1.{{harvtxt|Bartnicki|Grytczuk|2008}}, improving results on k-degenerate graphs in {{harvtxt|Cai|Zhu|2001}}

=Graph Classes=

For a class {\mathcal C} of graphs, we denote by \chi'_g({\mathcal C}) the smallest integer k such that every graph G of {\mathcal C} has \chi'_g(G) \le k. In other words, \chi'_g({\mathcal 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: \chi'_g(W_3) = 5 and \chi'_g(W_n) = n+1 when n\ge4.
  • Forests : \chi'_g({\mathcal F}_\Delta) \le \Delta + 1 when \Delta \ne 4, and 5 \le \chi'_g({\mathcal F}_4) \le 6.Upper bound of Δ+2 by {{harvtxt|Lam|Shiu|Xu|1999}}, then bound of Δ+1 by {{harvtxt|Erdös et al.|2004}} for cases Δ=3 and Δ≥6, and by {{harvtxt|Andres|2006}} for case Δ=5.
    Moreover, if every tree of a forest F of {\mathcal F}_4 is obtained by subdivision from a caterpillar tree or contains no two adjacent vertices with degree 4, then \chi'_g(F) \le 5.Conditions on forests with Δ=4 are in {{harvtxt|Chan|Nong|2014}}

= Open Problems =

Upper bound. Is there a constant c \ge 2 such that \chi'_g(G) \le \Delta(G) + c for each graph G ? If it is true, is c = 2 enough ?

Conjecture on large minimum degrees. There are a \epsilon > 0 and an integer d_0 such that any graph G with \delta(G) \ge d_0 satisfies \chi'_g(G) \ge (1+\epsilon)\delta(G).

Incidence coloring game

The incidence coloring game is a graph coloring game, introduced by Andres,{{harvtxt|Andres|2009a}}, see also erratum in {{harvtxt|Andres|2009b}} 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 i_g(G), is the minimum number of colors needed for Alice to win this game on G.

For every graph G with maximum degree \Delta, we have \frac{3\Delta - 1}{2} < i_g(G) < 3\Delta - 1.

= 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 i_g(G) \le \left\lfloor \frac{3\Delta(G) - a}{2} \right\rfloor + 8a + 3d - 1.{{harvtxt|Charpentier|Sopena|2014}}, extending results of {{harvtxt|Charpentier|Sopena|2013}}.
    If moreover \Delta(G) \ge 5a + 6d, then i_g(G) \le \left\lfloor \frac{3\Delta(G) - a}{2} \right\rfloor + 8a + d - 1.
  • Degeneracy. If G is a k-degenerated graph with maximum degree \Delta(G), then i_g(G) \le 2\Delta(G) + 4k - 2. Moreover, i_g(G) \le 2\Delta(G) + 3k - 1 when \Delta(G) \ge 5k - 1 and i_g(G) \le \Delta(G) + 8k - 2 when \Delta(G) \le 5k -1.

= Graph Classes =

For a class {\mathcal C} of graphs, we denote by i_g({\mathcal C}) the smallest integer k such that every graph G of {\mathcal C} has i_g(G) \le k.

  • Paths : For k \ge 13, i_g(P_k) = 5.
  • Cycles : For k \ge 3, i_g(C_k) = 5.{{harvtxt|Kim|2011}}, improving a similar result for k ≥ 7 in {{harvtxt|Andres|2009a}} (see also erratum in {{harvtxt|Andres|2009b}})
  • Stars : For k \ge 1, i_g(S_{2k}) = 3k.
  • Wheels : For k \ge 6, i_g(W_{2k+1}) = 3k + 2. For k \ge 7, i_g(W_{2k}) = 3k.
  • Subgraphs of Wheels : For k \ge 13, if G is a subgraph of W_k having S_k as a subgraph, then i_g(G) = \left\lceil \frac{3k}{2} \right\rceil.{{harvtxt|Kim|2011}}

= Open Problems =

  • Is the upper bound i_g(G) < 3\Delta(G) - 1 tight for every value of \Delta(G) ?
  • 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) ?

Notes

{{reflist|2}}

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| arxiv= 2008.13275

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{{refend}}

Category:Graph coloring