Emory Discrete Mathematics Seminar

When: Fridays 3:30pm, E408



Note that the time and the place are subject to change based on speaker's or attendees' availability, always double-check on a particular date.

Upcoming Seminars

Note that in parallel to Emory Discrete Maths seminar, together with Anton Bernsteyn and Yi Zhao , we are running Atlanta Combinatorics Colloquium, which is a series of lectures, hosted by Georgia Tech, Georgia State and Emory, happening once per month over 9 months/yearly.


  • November 18, 2022 - 3:30-4:30 pm, E408 - Tao Jiang, Miami University

Title: The Turán problem for bipartite graphs


Abstract: Extremal problems in graph theory, generally speaking, study the interaction

between the density of a graph and substructures occurring in it. A natural and central problem of this nature asks for how dense a grap can be when it is missing a particular subgraph. These problems are known as Turán problems. These problems have played a central role in the development of extremal graph theory.


While the celebrated he Erdős–Stone -Simonovits theorem essentially solves the problem when the missing subgraph H is non-bipartite, much less is known when H is bipartite. While there have been steady movements on the problem in the past, there has been an increased amount of progress in recent years due to fresh ideas and angles to approach these problems. In this talk, we will survey some of the recent progresses and techniques/ideas involved in them and suggest further problems to explore.



  • December 6, 2022 - 3:30-4:30 pm - David Conlon, Caltech (as part of ACC, Emory)

Combinatorics graduate reading seminar (Fall 2022 schedule)


Past Seminars

Title: The Integrality Gap for the Santa Claus Problem

Abstract: In the max-min allocation problem, a set of players are to be allocated disjoint subsets of a set of indivisible resources, such that the minimum utility among all players is maximized. In the restricted variant, also known as the Santa Claus Problem, each resource ("toy") has an intrinsic positive value, and each player ("child") covets a subset of the resources. Thus Santa wants to distribute the toys amongst the children, while (to satisfy jealous parents?) wishing to maximize the minimum total value of toys received by each child. This problem turns out to have a natural reformulation in terms of hypergraph matching.

Bezakova and Dani showed that the Santa Claus problem is NP-hard to approximate within a factor less than 2, consequently a great deal of work has focused on approximate solutions. To date, the principal approach for obtaining approximation algorithms has been via the Configuration LP of Bansal and Sviridenko, and bounds on its integrality gap. The existing algorithms and integrality gap estimations tend to be based one way or another on a combinatorial local search argument for finding perfect matchings in certain hypergraphs.

Here we introduce a different approach, which in particular replaces the local search technique with the use of topological methods for finding hypergraph matchings. This yields substantial improvements in the integrality gap of the CLP, from the previously best known bound of 3.808 for the general problem to 3.534. We also address the well-studied special case in which resources can take only two values, and improve the integrality gap in most cases. This is based on joint work with Tibor Szabo.

  • October 28, 2022, 3:30-4:30pm, W306 - Matthew Jenssen, University of Birmingham


Title: Algorithmic and combinatorial applications of the cluster expansion


Abstract: The cluster expansion is a classical tool from statistical physics traditionally used to study the phase diagram of lattice spin models. Recently, the cluster expansion has enjoyed a number of applications in two new contexts: i) the design of efficient approximate counting and sampling algorithms for spin models on graphs and ii) classical enumeration problems in combinatorics. In this talk, I’ll give an introduction to the cluster expansion and discuss some of these recent developments.



Title: Friendly Bisections of Random Graphs


Abstract: It is easy to partition the vertices of any graph into two sets where each vertex has at least as many neighbours across as on its own side; take any maximal cut! Can we do the opposite? This is not possible in general, but Füredi conjectured in 1988 that it should nevertheless be possible on a random graph. I shall talk about our recent proof of Füredi's conjecture: with high probability, the random graph G(n, 1/2) on an even number of vertices admits a partition of its vertex set into two parts of equal size in which n – o(n) vertices have more neighbours on their own side than across.


  • April 1, 2022, 4-5pm, W303 - Zilin Jiang, Arizona State University


Title: Forbidden subgraphs and spherical two distance sets


Abstract: Given a real number λ, what can we say about the family G(λ) of graphs with eigenvalues bounded from below by -λ? The Cauchy interlacing theorem implies that that the family G(λ) is closed under taking (induced) subgraphs. Similar to Wagner’s theorem, which describes the family of planar graphs by finite forbidden minors, it is natural to ask for which λ the family G(λ) has a finite forbidden subgraph characterization. In this talk, I will illustrate the key ideas in answering this question, and I will demonstrate a peculiar connection to spherical two distance sets — a set of unit vectors in a Euclidean space the pairwise inner products of which assume only two values. Joint work with Alexandr Polyanskii, Jonathan Tidor, Yuan Yao, Shengtong Zhang and Yufei Zhao.




Title: Weak degeneracy of graphs

Abstract: Motivated by the study of greedy algorithms for graph coloring, we introduce a new graph parameter, which we call weak degeneracy. This notion formalizes a particularly simple way of "saving" colors while coloring a graph greedily. It turns out that many upper bounds on chromatic numbers follow from corresponding bounds on weak degeneracy. In this talk I will survey some of these bounds as well as state a number of open problems. This is joint work with Eugene Lee (Carnegie Mellon University).



Title: Probabilistic Bezout over finite fields, and some applications


Abstract: What is the distribution of the number of distinct roots of k random polynomials (of some fixed degree) in k variables? I will talk about a recently proved Bezout-like theorem that gives us a satisfactory answer over (large) finite fields. This result can be used to construct several interesting families of “extremal graphs”. I shall illustrate this method by 1) discussing the easiest applications in detail, reproving some well-known lower bounds in extremal graph theory, and 2) outlining how this method has recently found applications in establishing hardness results for a few basic computational problems.