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We extend the Penrose polynomial, originally defined only for plane graphs, to graphs embedded in arbitrary surfaces. Considering this Penrose polynomial of embedded graphs leads to new identities and relations for the Penrose polynomial…

Combinatorics · Mathematics 2013-11-18 Joanna A. Ellis-Monaghan , Iain Moffatt

In order to apply quantum topology methods to nonplanar graphs, we define a planar diagram category that describes the local topology of embeddings of graphs into surfaces. These \emph{virtual graphs} are a categorical interpretation of…

Geometric Topology · Mathematics 2020-05-01 Calvin McPhail-Snyder , Kyle A. Miller

There are several different extensions of the Tutte polynomial to graphs embedded in surfaces. To help frame the different options, here we consider the problem of extending the Tutte polynomial to cellularly embedded graphs starting from…

Combinatorics · Mathematics 2025-02-24 Iain Moffatt

Many hard combinatorial problems can be modeled by a system of polynomial equations. N. Alon coined the term polynomial method to describe the use of nonlinear polynomials when solving combinatorial problems. We continue the exploration of…

Combinatorics · Mathematics 2010-06-08 J. A. De Loera , C. Hillar , P. N. Malkin , M. Omar

The Tutte polynomial is a generalization of the chromatic polynomial of graph colorings. Here we present an extension called the rooted Tutte polynomial, which is defined on a graph where one or more vertices are colored with prescribed…

Statistical Mechanics · Physics 2007-05-23 F. Y. Wu , C. King , W. T. Lu

We generalize the natural duality of graphs embedded into a surface to a duality with respect to a subset of edges. The dual graph might be embedded into a different surface. We prove a relation between the signed Bollobas-Riordan…

Combinatorics · Mathematics 2008-12-16 Sergei Chmutov

In this short review we introduce group field theory, a particular class of random tensor models, which represents nowadays one of the candidates for a fundamental theory of quantum gravity. We insist on the combinatorial richness of…

Combinatorics · Mathematics 2012-04-11 Adrian Tanasa

We introduce a polynomial invariant of graphs on surfaces, $P_G$, generalizing the classical Tutte polynomial. Topological duality on surfaces gives rise to a natural duality result for $P_G$, analogous to the duality for the Tutte…

Combinatorics · Mathematics 2015-03-13 Vyacheslav Krushkal

The Heawood graph is a remarkable graph that played a fundamental role in the development of the theory of graph colorings on surfaces in the 19th and 20th centuries. Based on permutahedral tilings, we introduce a generalization of the…

Combinatorics · Mathematics 2023-08-03 Cesar Ceballos , Joseph Doolittle

Let G be a combinatorial graph with vertices V and edges E. A proper coloring of G is an assignment of colors to the vertices such that no edge connects two vertices of the same color. These are the colorings considered in the famous Four…

Combinatorics · Mathematics 2021-06-08 Bruce E Sagan

For a graph G embedded in an orientable surface \Sigma, we consider associated links L(G) in the thickened surface \Sigma \times I. We relate the HOMFLY polynomial of L(G) to the recently defined Bollobas-Riordan polynomial of a ribbon…

Combinatorics · Mathematics 2012-03-01 Iain Moffatt

We follow the example of Tutte in his construction of the dichromate of a graph (that is, the Tutte polynomial) as a unification of the chromatic polynomial and the flow polynomial in order to construct a new polynomial invariant of maps…

Combinatorics · Mathematics 2017-01-03 Andrew Goodall , Thomas Krajewski , Guus Regts , Lluis Vena

A colored Gaussian graphical model is a linear concentration model in which equalities among the concentrations are specified by a coloring of an underlying graph. The model is called RCOP if this coloring is given by the edge and vertex…

Combinatorics · Mathematics 2023-04-03 Jane Ivy Coons , Aida Maraj , Pratik Misra , Miruna-Stefana Sorea

!-graphs provide a means of reasoning about infinite families of string diagrams and have proven useful in manipulation of (co)algebraic structures like Hopf algebras, Frobenius algebras, and compositions thereof. However, they have…

Logic in Computer Science · Computer Science 2015-03-05 Aleks Kissinger , David Quick

A common generalization for the chromatic polynomial and the flow polynomial of a graph $G$ is the Tutte polynomial $T(G;x,y)$. The combinatorial meaning for the coefficients of $T$ was discovered by Tutte at the beginning of its…

Combinatorics · Mathematics 2010-07-16 Beifang Chen

A topological index of a graph $G$ is a real number which is preserved under isomorphism. Extensive studies on certain polynomials related to these topological indices have also been done recently. In a similar way, chromatic versions of…

General Mathematics · Mathematics 2018-11-02 Sudev Naduvath

We show that the combinatorial matter of graph coloring is, in fact, quantum in the sense of satisfying the sum over all the possible intermediate state properties of a path integral. In our case, the topological field theory (TFT) with…

Quantum Algebra · Mathematics 2024-10-02 Amit Kumar

Colored tensor models (CTM) is a random geometrical approach to quantum gravity. We scrutinize the structure of the connected correlation functions of general CTM-interactions and organize them by boundaries of Feynman graphs. For rank-$D$…

Mathematical Physics · Physics 2020-02-05 Carlos I. Pérez-Sánchez

We revisit a well-known family of polynomial ideals encoding the problem of graph-$k$-colorability. Our paper describes how the inherent combinatorial structure of the ideals implies several interesting algebraic properties. Specifically,…

Symbolic Computation · Computer Science 2014-10-28 Jesús A. De Loera , Susan Margulies , Michael Pernpeintner , Eric Riedl , David Rolnick , Gwen Spencer , Despina Stasi , Jon Swenson

Tensor networks have found a wide use in a variety of applications in physics and computer science, recently leading to both theoretical insights as well as practical algorithms in machine learning. In this work we explore the connection…

Quantum Physics · Physics 2019-12-04 Ivan Glasser , Nicola Pancotti , J. Ignacio Cirac