Archive for the ‘2010’ Category

Yerim Chung (정예림), Inverse chromatic number problems

Tuesday, May 11th, 2010
Inverse chromatic number problems
Yerim Chung (정예림)
Centre d’Economie de la Sorbonne, Université de Paris 1 Panthéon-Sorbonne, France
2010/6/4 Fri 4PM-5PM

During the last decade, inverse combinatorial optimization problems have found an increased interest in the optimization community. Whereas an optimization problem asks for a feasible solution with minimum or maximum objective function value, inverse optimization problems are defined with a feasible solution, and aim to perturb as little as possible the parameters (costs, profits, etc.) of the problem so that the given solution becomes optimum in the new instance. In this talk, we introduce some generalized inverse combinatorial problems, and investigate inverse chromatic number problems in permutation graphs and interval graphs.

Yoshio Sano (佐野良夫), Matroids on convex geometries

Friday, May 7th, 2010
Matroids on convex geometries
Yoshio Sano (佐野良夫)
Department of Mathematics, POSTECH, Pohang
2010/5/14 Fri 4PM-5PM

The notion of a matroid was introduced by H. Whitney in 1935 as an abstraction of “linear independence” in a vector space. In 1960’s, J. Edmonds found that matroids are closely related to an efficient algorithm. After then, many researchers have studied and extended Matroid Theory. In 2007, S. Fujishige, G. A. Koshevoy, and Y. Sano introduced cg-matroids as an generalization of matroids. They defined a matroid-like structure on an abstract convex geometry, where the notion of an abstract convex geometry was introduced by P. H. Edelman and R. E. Jamison in 1985. In this talk, I will introduce the theory of cg-matroids. In particular, I will talk about the definition and some examples of cg-matroids, some combinatorial properties and characterization of cg-matroids, and the relationship between cg-matroids and the greedy algorithm.

Jang Soo Kim (김장수), Combinatorics on permutation tableaux

Friday, April 16th, 2010
Combinatorics on permutation tableaux
Jang Soo Kim (김장수)
Laboratoire d’Informatique Algorithmique: Fondements et Applications (LIAFA), University of Paris 7, France
2010/4/26 Mon 3PM-4PM (Room: 3433, Bldg E6-1)

A permutation tableau is a relatively new combinatorial object introduced by Postnikov in his study of totally nonnegative Grassmanian. As one can guess from its name, permutation tableaux are in bijection with permutations. Surprisingly, there is also a connection between permutation tableaux and a statistical physics model called PASEP (partially asymmetric exclusion process). In this talk, we study some combinatorial properties of permutation tableaux. One of our result is a sign-imbalace formula for permutation tableaux which is very similar to the sign-imbalace formula for standard Young tableaux conjectured by Stanley.

Woong Kook (국웅), A Combinatorial Formula for Information Flow in a Network

Thursday, March 25th, 2010
A Combinatorial Formula for Information Flow in a Network
Woong Kook (국웅)
Department of Mathematics, University of Rhode Island, Kingston, Rhode Island, U.S.A.
2010/04/09 Fri 4PM-5PM

In 1989, Stephenson and Zelen derived an elegant formula for the information Iab contained in all possible paths between two nodes a and b in a network, which is described as follows. Given a finite weighted graph G and its Laplacian matrix L, the combinatorial Green’s function \mathcal{G}, of G is the inverse of L+J, where J is the all 1’s matrix. Then, it was shown that Iab=(gaa+gbb-2gab)-1, where gij is the (i,j)-th entry of \mathcal{G}. In this talk, we prove an intriguing combinatorial formula for Iab:

I_{ab}=\kappa(G)/\kappa(G_{a\ast b}),

where \kappa(G) is the complexity, or tree-number, of G, and Ga*b is obtained from G by identifying two vertices a and b. We will discuss several implications of this new formula, including the equivalence of Iab and the effective conductance between two nodes in electrical networks.

Carsten Thomassen, On the Number of Spanning Trees, Orientations, and Cycles

Wednesday, March 24th, 2010
On the Number of Spanning Trees, Orientations, and Cycles
Carsten Thomassen
Department of Mathematics, Technical University of Denmark, Lyngby, Denmark
2010/04/02 Friday 4PM-5PM (Room: 3433, Bldg E6-1)

One of the most fundamental properties of a connected graph is the existence of a spanning tree. Also the number τ(G) of spanning trees is an important graph invariant. It plays a crucial role in Kirchhoff’s classical theory of electrical networks, for example in computing driving point resistances. More recently, τ(G) is one of the values of the Tutte polynomial which now plays a central role in statistical mechanics. So are a(G), the number of acyclic orientations, and c(G), the number of orientations in which every edge is in a directed cycle. As a first step towards convexity properties of the Tutte polynomial, Merino and Welsh conjectured that

τ(G) ≤ max{a(G),c(G)}

for every loopless and bridgeless multigraph G. We shall here prove that τ(G) ≤ c(G) for all loopless and bridgeless multigraphs with n vertices and at least 4n edges and that τ(G) ≤ a(G) for all loopless multigraphs with n vertices and at most 16n/15 edges. We also verify the conjecture for cubic graphs (which are in between these two bounds).