1999
DOI: 10.1137/s0097539798338175
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On Approximately Counting Colorings of Small Degree Graphs

Abstract: We consider approximate counting of colorings of an n-vertex graph using rapidly mixing Markov chains. It has been shown by Jerrum and by Salas and Sokal that a simple random walk on graph colorings would mix rapidly, provided the number of colors k exceeded the maximum degree ∆ of the graph by a factor of at least 2. We prove that this is not a necessary condition for rapid mixing by considering the simplest case of 5-coloring graphs of maximum degree 3. Our proof involves a computer-assisted proof technique … Show more

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Cited by 35 publications
(54 citation statements)
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“…The problem ⊕mCol: for an undirected planar graph G of maximum degree m determine the parity of the number of equivalence classes of 3-colorings of G. The problem ⊕mFCol: for an undirected planar graph G of maximum degree m and an integer k determine the parity of the number of 3-colorings that are invariant under permutations of the remaining two colors when exactly k nodes are given the first color. We note that the corresponding counting problems for 3-colorability of degree three graphs are #P-complete [BDGJ99].…”
Section: Holographic Algorithm For the Parity Of The Number Of Connecmentioning
confidence: 97%
“…The problem ⊕mCol: for an undirected planar graph G of maximum degree m determine the parity of the number of equivalence classes of 3-colorings of G. The problem ⊕mFCol: for an undirected planar graph G of maximum degree m and an integer k determine the parity of the number of 3-colorings that are invariant under permutations of the remaining two colors when exactly k nodes are given the first color. We note that the corresponding counting problems for 3-colorability of degree three graphs are #P-complete [BDGJ99].…”
Section: Holographic Algorithm For the Parity Of The Number Of Connecmentioning
confidence: 97%
“…In other words, efficient ranking and unranking of X = {X G } is at least as hard counting the elements of each X X . But a result of Bubley, Dyer, Greenhill, and Jerrum [7,Section 6] says that it is #P -complete to count the number of proper κ-colorings of a maximum-degree-∆ graph, even for a fixed κ, ∆ ≥ 3. As a consequence, one can't FPE via RtE on our specification X = {X G } assuming P = #P. Note that P = NP, or the existence of a one-way function, already implies that P = #P.…”
Section: Fpe Without Rankingmentioning
confidence: 99%
“…Similar to its decision counterpart, the Counting Constraint Satisfaction Problem (#CSP) can be used to provide a generic framework for numerous counting combinatorial problems that arise frequently in a wide range of areas from logic, graph theory, and artificial intelligence [4,13,21,26,33,41,45,51,52,55,56], to statistical physics [3,11,39].…”
Section: Introductionmentioning
confidence: 99%
“…#CSP terms include problems from propositional logic [13,52], classical combinatorial problems such as #Clique, Graph Reliability, Antichain, Permanent [41,51,55,56], counting graph homomorphisms, and many others [4,21,26,33].…”
Section: Introductionmentioning
confidence: 99%