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Advances in Applied Mathematics
Article . 2018 . Peer-reviewed
License: Elsevier Non-Commercial
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Article . 2018
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https://dx.doi.org/10.48550/ar...
Article . 2017
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On the complexity of generalized chromatic polynomials

Authors: Andrew J. Goodall; Miki Hermann; Tomer Kotek; Johann A. Makowsky; Steven D. Noble;

On the complexity of generalized chromatic polynomials

Abstract

J. Makowsky and B. Zilber (2004) showed that many variations of graph colorings, called CP-colorings in the sequel, give rise to graph polynomials. This is true in particular for harmonious colorings, convex colorings, mcc_t-colorings, and rainbow colorings, and many more. N. Linial (1986) showed that the chromatic polynomial $χ(G;X)$ is #P-hard to evaluate for all but three values X=0,1,2, where evaluation is in P. This dichotomy includes evaluation at real or complex values, and has the further property that the set of points for which evaluation is in P is finite. We investigate how the complexity of evaluating univariate graph polynomials that arise from CP-colorings varies for different evaluation points. We show that for some CP-colorings (harmonious, convex) the complexity of evaluation follows a similar pattern to the chromatic polynomial. However, in other cases (proper edge colorings, mcc_t-colorings, H-free colorings) we could only obtain a dichotomy for evaluations at non-negative integer points. We also discuss some CP-colorings where we only have very partial results.

33 pages, 2 figures, 3 tables

Country
France
Keywords

FOS: Computer and information sciences, Chromatic Polynomial, 05C15, 05C31, 05C85, 68Q17, 68W05, ems, chromatic polynomial, Computational Complexity (cs.CC), Graph polynomials Counting Complexity Chromatic Polynomial, Computer Science - Computational Complexity, Coloring of graphs and hypergraphs, Graph polynomials, Graph algorithms (graph-theoretic aspects), counting complexity, graph polynomials, FOS: Mathematics, Counting Complexity, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Mathematics - Combinatorics, [INFO]Computer Science [cs], Combinatorics (math.CO), Nonnumerical algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
bronze