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Graph polynomials and their applications

Graph polynomials and their applications

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Speaker: Joanna A. Ellis-Monaghan<br />

Topics: <strong>Graph</strong> <strong>polynomials</strong> <strong>and</strong> <strong>their</strong> <strong>applications</strong><br />

Tentative Schedule<br />

Week One: Deletion-contraction models. The Tutte polynomial is perhaps the most<br />

studied <strong>and</strong> important graph polynomial, <strong>and</strong> so a natural starting point. We will use the<br />

Tutte polynomial to showcase a variety of principles <strong>and</strong> techniques for graph <strong>polynomials</strong> in<br />

general. These include several ways in which a graph polynomial may be defined <strong>and</strong> methods<br />

for extracting combinatorial information <strong>and</strong> algebraic properties from it. En route, we<br />

will encounter several other graph <strong>polynomials</strong>, such as the chromatic, flow, reliability, <strong>and</strong><br />

shelling <strong>polynomials</strong>, which can be shown to be evaluations of the Tutte polynomial. We<br />

also use the Tutte polynomial to demonstrate how graph <strong>polynomials</strong> may be generalized,<br />

by exp<strong>and</strong>ing either the domain or the parameter space. The Tutte polynomial has <strong>applications</strong><br />

in many fields, which we will see here with a particularly fruitful connection with the<br />

Potts model of physics. We conclude with a brief discussion of computational complexity<br />

considerations.<br />

Day 1 Intro to graph <strong>polynomials</strong>. Creating them <strong>and</strong> extracting combinatorial information.<br />

Day 2 The Tutte polynomial. Several definitions <strong>and</strong> universality.<br />

Day 3 Evaluations <strong>and</strong> specializations of the Tutte polynomial. Chromatic, flow, reliability,<br />

derivatives, <strong>and</strong> graph statistics.<br />

Day 4 Generalizations of the Tutte polynomial. Multivariate <strong>and</strong> topological extensions.<br />

Day 5 Applications of the Tutte polynomial: The Potts model <strong>and</strong> computational complexity.<br />

Week Two: Skein Models. As ubiquitous as the Tutte polynomial is, there are nevertheless<br />

many other graph <strong>polynomials</strong> which are not evaluations of it. We turn now to<br />

an important class of graph <strong>polynomials</strong>, those that maybe computed via, not deletioncontraction,<br />

but rather skein-type reductions, similar to those of knot theory. For this class<br />

of graph <strong>polynomials</strong>, the generalized transition polynomial plays the universal role that the<br />

Tutte polynomial does for deletion-contraction invariants, <strong>and</strong> we see that the Penrose <strong>and</strong><br />

circuit partition <strong>polynomials</strong> are specializations of it. We will also see that the transition<br />

polynomial is particularly well-adapted to encoding topological information. While these<br />

<strong>polynomials</strong> are not generally specializations of the Tutte polynomial, there are often surprising<br />

connections among them. For example, the interlace polynomial, computed neither<br />

by deletion-contraction nor a skein relation, but rather a pivot operation, is related to the<br />

Tutte polynomial through the transition polynomial of a medial graph. We emphasize these<br />

interrelations which enable results for one polynomial to give results for others. Again, there<br />

are many <strong>applications</strong> of these <strong>polynomials</strong>, <strong>and</strong> we conclude with three examples, two in<br />

the area of DNA structures, <strong>and</strong> one with the interplay with knot theory.<br />

Day 1 Skein-type <strong>polynomials</strong>. The Transition, Martin, <strong>and</strong> Penrose <strong>polynomials</strong>.<br />

Day 2 The generalized transition polynomial. Multivariate <strong>and</strong> topological extensions.<br />

Day 3 Interconnections. The interlace polynomial <strong>and</strong> interrelations among different <strong>polynomials</strong>.<br />

Day 4 Applications to DNA sequencing <strong>and</strong> DNA self-assembly:<br />

Day 5 Connections with knot theory. Recovering the Kauffmann bracket.<br />

1


A sample range of questions related to this topic<br />

Big questions. These are known to be more or less NP-hard in the most general case,<br />

but there are many, many special variations to consider. People have made careers out of<br />

investigating these area.<br />

• Find exact solutions to the Tutte/Potts model for various lattices <strong>and</strong> various models.<br />

• Determine conditions for sequence reconstruction with various levels of data.<br />

Focused open questions. These questions are easy to state, but they have been open for<br />

a while.<br />

• Show that the U (or W) polynomial is a complete invariant of trees (or even at least<br />

caterpillars).<br />

• Prove that P(G;-1) is non-zero for plane graphs.<br />

• Do the coefficients of the Penrose polynomial alternate in sign?<br />

Straightforward exercises. These are known results, more or less on the level found in a<br />

typical graduate text.<br />

• Find formulas for the chromatic polynomial for common classes of graphs (paths,<br />

cycles, complete graphs, etc.)<br />

• Prove that the reliability polynomial is a specialization of the Tutte polynomial<br />

• Compute the Potts model for a small grid, <strong>and</strong> use it to find the probability of a<br />

monochromatic state.<br />

A partial list of resources for the course<br />

[1] L. Beaudin*, J. Ellis-Monaghan, G. Pangborn, R. Shrock, A little statistical mechanics for the graph<br />

theorist, Discrete Mathematics, 310 (13-14) 2010, 2037-2053.<br />

[2] Bollobas, B.: Modern <strong>Graph</strong> Theory, Graduate Texts in Mathematics. Springer, 1082 New York (1998)<br />

[3] Brylawski, T., Oxley, J.: The Tutte polynomial <strong>and</strong> its <strong>applications</strong>. In: White, 1097 N. (ed) Matroid<br />

Applications, Encyclopedia of Mathematics <strong>and</strong> its Applica- 1098 tions. Cambridge University Press,<br />

Cambridge (1992)<br />

[4] J. Ellis-Monaghan, C. Merino, <strong>Graph</strong> <strong>polynomials</strong> <strong>and</strong> <strong>their</strong> <strong>applications</strong> I: the Tutte polynomial, invited<br />

chapter for Structural Analysis of Complex Networks, Matthias Dehmer, ed., Birkhauser, 2010.<br />

[5] J. Ellis-Monaghan, C. Merino, <strong>Graph</strong> <strong>polynomials</strong> <strong>and</strong> <strong>their</strong> <strong>applications</strong> II: interrelations <strong>and</strong> interpretations,<br />

invited chapter for Structural Analysis of Complex Networks, Matthias Dehmer, ed., Birkhauser,<br />

2010.<br />

[6] J. Ellis-Monaghan, I. Moffatt, <strong>Graph</strong>s on Surfaces: Twisted Duality, Polynomials, <strong>and</strong> Knots. Invited<br />

monograph for the Springer Briefs Series, submitted<br />

[7] J. Ellis-Monaghan, I. Moffatt, A Penrose polynomial for embedded graphs, in press, European Journal<br />

of Combinatorics.<br />

[8] J. Ellis-Monaghan, G. Pangborn, Using DNA self-assembly design strategies to motivate graph theory<br />

concepts, Math. Model. Nat. Phenom., 6, no. 6 (2011) 96-107.<br />

[9] Sokal, A. D.: Chromatic <strong>polynomials</strong>, Potts models <strong>and</strong> all that. Physica A, 1319 279, 324332 (2000)<br />

[10] Sokal, A. D. A personal list of unsolved problems concerning lattice gases <strong>and</strong> antiferromagnetic Potts<br />

models. Markov Process Relat. Fields, 7, 21-38 (2001).<br />

[11] Welsh, D. J. A., Merino, C.: The Potts model <strong>and</strong> the Tutte polynomial. J. 1304 Math. Phys., 41,<br />

11271152 (2000)<br />

[12] Welsh, D. J. A.: Complexity: Knots, Colorings <strong>and</strong> Counting, Cambridge University Press, Cambridge<br />

(1993).<br />

2

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