2010Birkhäuser Boston eBooksRequires access

Graph Polynomials and Their Applications II: Interrelations and Interpretations

Joanna A. Ellis-Monaghan, Criel Merino

Open publisher page 34 citations

Abstract

We survey a variety of graph polynomials, giving a brief overview of techniques for defining a graph polynomial and then for decoding the combinatorial information it contains. These polynomials are not generally specializations of the Tutte polynomial, but they are each in some way related to the Tutte polynomial, and often to one another. We emphasize these interrelations and explore how an understanding of one polynomial can guide research into others. We also discuss multivariable generalizations of some of these polynomials and the theory facilitated by this. We conclude with two examples, the interlace polynomial in biology and the Tutte polynomial and Potts model in physics, that illustrate the applicability of graph polynomials in other fields.

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What this paper is about

We survey a variety of graph polynomials, giving a brief overview of techniques for defining a graph polynomial and then for decoding the combinatorial information it contains. These polynomials are not generally specializations of the Tutte polynomial, but they are each in some way related to the Tutte polynomial, and often to one another. We emphasize these interrelations and explore how an understanding of one polynomial can guide research into others. We also discuss multivariable generalizations of some of these polynomials and the theory facilitated by this. We conclude with two examples, the interlace polynomial in biology and the Tutte polynomial and Potts model in physics, that illustrate the applicability of graph polynomials in other fields.

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Available abstract

We survey a variety of graph polynomials, giving a brief overview of techniques for defining a graph polynomial and then for decoding the combinatorial information it contains. These polynomials are not generally specializations of the Tutte polynomial, but they are each in some way related to the Tutte polynomial, and often to one another. We emphasize these interrelations and explore how an understanding of one polynomial can guide research into others. We also discuss multivariable generalizations of some of these polynomials and the theory facilitated by this. We conclude with two examples, the interlace polynomial in biology and the Tutte polynomial and Potts model in physics, that illustrate the applicability of graph polynomials in other fields.

Key concepts: Tutte polynomial, Chromatic polynomial, Potts model, Combinatorics, Mathematics, Discrete mathematics, Polynomial, Integral graph

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