The choosability of the balanced complete multipartite graphs K3⋆nK_{3\star n} (nn parts of size 3) was determined by Kierstead: ch(K3⋆n)=⌈(4n−1)/3⌉ch(K_{3\star n})=\lceil(4n-1)/3\rceil. Its on-line analogue, the paintability χP\chi_P, is only known to satisfy ⌈(4n−1)/3⌉≤χP(K3⋆n)≤3n/2\lceil(4n-1)/3\rceil\le\chi_P(K_{3\star n})\le 3n/2 (Kozik, Micek, and Zhu). Bradshaw, Cao, Chen, Dean, Gan, Garcia, Krishnaiyer, McCourt, and Murty (2024) verified computationally, through the Duraj-Gutowski-Kozik chip game, that the two parameters coincide for n≤6n\le 6, and posed the two questions recorded here: determine the exact value of χP(K3⋆7)\chi_P(K_{3\star 7}), which current bounds pin down to 9 or 10, and decide whether ch(K3⋆n)=χP(K3⋆n)ch(K_{3\star n})=\chi_P(K_{3\star n}) for every positive integer nn. This is the part-size-three instance of the general question of how far on-line list coloring can exceed offline list coloring on complete multipartite graphs. Both questions remain open.

Background

A proper coloring of a graph assigns distinct colors to adjacent vertices, and the chromatic number χ(G)\chi(G) is the least number of colors that suffices. In list coloring, each vertex vv is given its own palette L(v)L(v) of colors and one must properly color GG with f(v)∈L(v)f(v)\in L(v) for every vv; the choosability (or list chromatic number) ch(G)ch(G) is the least kk such that GG can be colored from every palette assignment with ∣L(v)∣≥k|L(v)|\ge k at all vertices. Choosability was introduced in the 1970s by Vizing (1976) and by Erdős, Rubin, and Taylor (1979).

Schauz and Zhu (2009) introduced the adversarial, on-line version of list coloring. In the on-line list coloring game on a graph GG with threshold rr, two players alternate: on each round Lister presents a set SS of currently unpainted vertices, and Painter colors an independent subset of SS with a fresh color. Painter wins if every vertex eventually gets painted; Lister wins if some vertex is presented rr times without being painted. If Painter has a winning strategy at threshold rr, the graph is rr-paintable, and the paintability χP(G)\chi_P(G) is the least such rr. Reading a fixed palette assignment as a pre-scheduled Lister strategy shows χ(G)≤ch(G)≤χP(G)\chi(G)\le ch(G)\le\chi_P(G), and the choosability-paintability gap χP(G)−ch(G)\chi_P(G)-ch(G) measures how much the on-line adversary can gain.

A complete multipartite graph has its vertex set split into independent sets (parts), with every two vertices from different parts adjacent; write Km⋆kK_{m\star k} for the balanced case of kk parts each of size mm (so K3⋆nK_{3\star n} has nn parts of size 3 and 3n3n vertices, and χ(K3⋆n)=n\chi(K_{3\star n})=n). This convention, m⋆km\star k meaning kk parts of size mm, is the one used here and in the source paper. Complete multipartite graphs are the central test family for Ohba's conjecture (2002), which predicted χ(G)=ch(G)\chi(G)=ch(G) whenever ∣V(G)∣≤2χ(G)+1|V(G)|\le 2\chi(G)+1, and for its on-line analogue proposed by Huang, Wong, and Zhu (2012): χ(G)=χP(G)\chi(G)=\chi_P(G) whenever ∣V(G)∣≤2χ(G)|V(G)|\le 2\chi(G). The bound 2χ2\chi is best possible, since Kim, Kwon, Liu, and Zhu (2012) proved χP(K2⋆(n−1),3⋆1)=n+1>n=χ(K2⋆(n−1),3⋆1)\chi_P(K_{2\star(n-1),3\star 1})=n+1>n=\chi(K_{2\star(n-1),3\star 1}), a graph on 2n+12n+1 vertices.

For parts of size 2 the parameters are completely understood: Alon (1993) proved ch(K2⋆n)=nch(K_{2\star n})=n, and Kim, Kwon, Liu, and Zhu proved χP(K2⋆n)=n\chi_P(K_{2\star n})=n as well. For parts of size 3, Kierstead (2000) proved ch(K3⋆n)=⌈(4n−1)/3⌉ch(K_{3\star n})=\lceil(4n-1)/3\rceil, but on the on-line side only the bounds ⌈(4n−1)/3⌉≤χP(K3⋆n)≤3n/2\lceil(4n-1)/3\rceil\le\chi_P(K_{3\star n})\le 3n/2 are known, the upper bound being due to Kozik, Micek, and Zhu (2014). The gap question matters beyond this family: Zhu asked whether chch and χP\chi_P of a single graph can differ by an arbitrarily large amount, and the answer is yes, witnessed already in the bipartite case, where ch(Kn,n)=log⁡2n−Ω(log⁡2log⁡2n)ch(K_{n,n})=\log_2 n-\Omega(\log_2\log_2 n) (via a hypergraph 2-coloring theorem of Radhakrishnan and Srinivasan) while χP(Kn,n)=log⁡2n+O(1)\chi_P(K_{n,n})=\log_2 n+O(1) (Aslam and Dhagat 1993; Duraj, Gutowski, and Kozik 2016). Kozik, Micek, and Zhu therefore proposed K3⋆nK_{3\star n} as the natural next family and asked whether χP(K3⋆n)−ch(K3⋆n)\chi_P(K_{3\star n})-ch(K_{3\star n}) is unbounded.

The key technical tool is the chip game of Duraj, Gutowski, and Kozik, equivalent to the on-line list coloring game on complete multipartite graphs. In the (k,n1,…,nm)(k,n_1,\dots,n_m) chip game, a board has mm columns with rows labeled 00 to kk, and column ii starts with nin_i chips in row 0. Each round, Pusher (modeling Lister) pushes a nonempty set of chips one row upward, then Remover (modeling Painter) picks one column and removes from it exactly the chips that were just pushed. Pusher wins if some chip reaches row kk; Remover wins if all chips are removed first. The equivalence (recorded as Theorem 1.3 of the source paper) states that χP(Kn1,…,nm)>k\chi_P(K_{n_1,\dots,n_m})>k if and only if Pusher has a winning strategy in the (k,n1,…,nm)(k,n_1,\dots,n_m) chip game.

Using this equivalence with a pruned minimax search whose output certificates (winning and losing closures of game states) are independently verified, Bradshaw, Cao, Chen, Dean, Gan, Garcia, Krishnaiyer, McCourt, and Murty (2024) determined the exact paintabilities χP(K3⋆4)=5\chi_P(K_{3\star 4})=5, χP(K3⋆5)=7\chi_P(K_{3\star 5})=7, and χP(K3⋆6)=8\chi_P(K_{3\star 6})=8, together with several unbalanced graphs with parts of size 2 and 3. In every computed case with parts of size 3 the paintability equals the choosability ⌈(4n−1)/3⌉\lceil(4n-1)/3\rceil, so the choosability-paintability gap is zero for all n≤6n\le 6. Their computation stalled at n=7n=7, and they posed the questions that form this problem.

Problem Statement

Throughout, K3⋆nK_{3\star n} is the balanced complete multipartite graph with nn parts of size 3 (3n3n vertices, χ=n\chi=n): its vertex set splits into nn independent sets of size 3, and every two vertices from different parts are adjacent. The choosability ch(G)ch(G) is the least kk such that GG admits a proper coloring from every palette assignment with ∣L(v)∣≥k|L(v)|\ge k at every vertex, and the paintability χP(G)\chi_P(G) is the least rr such that Painter wins the on-line list coloring game on GG with threshold rr: in each round of that game Lister presents a set of currently unpainted vertices and Painter colors an independent subset of them with one fresh color; Painter wins if every vertex is eventually painted, and Lister wins if some vertex is presented rr times without being painted. Always χ(G)≤ch(G)≤χP(G)\chi(G)\le ch(G)\le\chi_P(G).

Determine the paintability of the family {K3⋆n}n≥1\{K_{3\star n}\}_{n\ge 1}, in particular decide whether on-line list coloring is ever strictly harder than offline list coloring on this family. Concretely, answer the two linked questions posed as Questions 4.1 and 4.2 of Bradshaw et al. (2024):

  1. What is the exact value of χP(K3⋆7)\chi_P(K_{3\star 7})? The known bounds are 9=ch(K3⋆7)=⌈(4⋅7−1)/3⌉≤χP(K3⋆7)≤⌊3⋅7/2⌋=109=ch(K_{3\star 7})=\lceil(4\cdot 7-1)/3\rceil\le\chi_P(K_{3\star 7})\le\lfloor 3\cdot 7/2\rfloor=10, so the answer is 9 or 10.

  2. Is ch(K3⋆n)=χP(K3⋆n)ch(K_{3\star n})=\chi_P(K_{3\star n}), that is, χP(K3⋆n)=⌈(4n−1)/3⌉\chi_P(K_{3\star n})=\lceil(4n-1)/3\rceil, for every positive integer nn?

These are one objective at two granularities: a positive answer to question 2 implies χP(K3⋆7)=9\chi_P(K_{3\star 7})=9, while a negative answer to question 2 requires an explicit nn together with a winning strategy for Lister in the on-line list coloring game on K3⋆nK_{3\star n} at threshold k=⌈(4n−1)/3⌉k=\lceil(4n-1)/3\rceil, certifying χP(K3⋆n)≥⌈(4n−1)/3⌉+1\chi_P(K_{3\star n})\ge\lceil(4n-1)/3\rceil+1. By the chip-game equivalence (Theorem 1.3 of the source paper), such a certificate is equivalently a winning Pusher strategy in the (k,3⋆n)(k,3\star n) chip game: a board of nn columns of 3 chips with rows labeled 00 to kk, where each round Pusher pushes a nonempty set of chips one row upward and Remover removes exactly the just-pushed chips of one column, and Pusher wins if some chip reaches row kk. Equality has been verified for 1≤n≤61\le n\le 6. Question 2 is settled by either a proof of equality for all n≥1n\ge 1 or such an explicit counterexample, and the value of χP(K3⋆7)\chi_P(K_{3\star 7}) remains an independent question in either case (a counterexample at a single n≠7n\ne 7 settles question 2 but does not settle question 1).

References

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