Seminars and Colloquia by Series

Generalized Permutohedra from Probabilistic Graphical Models

Series
Combinatorics Seminar
Time
Friday, February 3, 2017 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Josephine YuGeorgia Tech
A graphical model encodes conditional independence relations via the Markov properties. For an undirected graph these conditional independence relations are represented by a simple polytope known as the graph associahedron, which can be constructed as a Minkowski sum of standard simplices. There is an analogous polytope for conditional independence relations coming from any regular Gaussian model, and it can be defined using relative entropy. For directed acyclic graphical models we give a construction of this polytope as a Minkowski sum of matroid polytopes. The motivation came from the problem of learning Bayesian networks from observational data. This is a joint work with Fatemeh Mohammadi, Caroline Uhler, and Charles Wang.

Discrete geometry and representation theory

Series
Combinatorics Seminar
Time
Friday, December 2, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Ben SteinbergCUNY
One can associate regular cell complexes to various objects from discrete and combinatorial geometry such as real and complex hyperplane arrangements, oriented matroids and CAT(0) cube complexes. The faces of these cell complexes have a natural algebraic structure. In a seminal paper from 1998, Bidigare, Hanlon and Rockmore exploited this algebraic structure to model a number of interesting Markov chains including the riffle shuffle and the top-to-random shuffle, as well as the Tsetlin library. Using the representation theory of the associated algebras, they gave a complete description of the spectrum of the transition matrix of the Markov chain. Diaconis and Brown proved further results on mixing times and diagonalizability for these Markov chains. Bidigare also noticed in his thesis a natural connection between Solomon's descent algebra for a finite Coxeter group and the algebra associated to its Coxeter arrangement. Given, the nice interplay between the geometry, the combinatorics and the algebra that appeared in these two contexts, it is natural to study the representation theory of these algebras from the point of view of the representation theory of finite dimensional algebras. Building on earlier work of Brown's student, Saliola, for the case of real central hyperplane arrangements, we provide a quiver presentation for the algebras associated to hyperplane arrangements, oriented matroids and CAT(0) cube complexes and prove that these algebras are Koszul duals of incidence algebras of associated posets. Key to obtaining these results is a description of the minimal projective resolutions of the simple modules in terms of the cellular chain complexes of the corresponding cell complexes.This is joint work with Stuart Margolis (Bar-Ilan) and Franco Saliola (University of Quebec at Montreal)

On the Erdos-Szekeres convex polygon problem: A discussion

Series
Combinatorics Seminar
Time
Thursday, November 17, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 269
Speaker
Andrew SukUniversity of Illinois, Chicago
Andew Suk will discuss some of the techincal details in his colloquium talk about the Erdos-Szekeres convex polygon problem. This is mainly an informal discussion.

Products of differences in finite fields

Series
Combinatorics Seminar
Time
Friday, November 11, 2016 - 15:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Giorgis PetridisUniversity of Gerogia
An expander polynomial in F_p, the finite field with p elements, is a polynomial f(x_1,...,x_n) such that there exists an absolute c>0 with the property that for every set A in F_p (of cardinality not particularly close to p) the cardinality of f(A,...,A) = {f(a_1,...,a_n) : a in A} is at least |A|^{1+c}. Given an expander polynomial, a very interesting question is to determine a threshold T so that |A|> T implies that |f(A,...,A)| contains, say, half the elements of F_p and so is about as large as it can be. For a large number of "natural appearing" expander polynomials like f(x,y,z) = xy+z and f(x,y,z) = x(y+z), the best known threshold is T= p^{2/3}. What is interesting is that there are several proofs of this threshold of very different “depth” and complexity. We will discuss why for the expander polynomial f(x,y,z,w) = (x-y)(z-w), where f(A,A,A,A) consists of the product of differences of elements of A, one may take T = p^{5/8}. We will also discuss the more complicated setting where A is a subset of a not necessarily prime order finite field.

A discrete version of Koldobsky's slicing inequality

Series
Combinatorics Seminar
Time
Friday, November 4, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Matt AlexanderKent State University
In this talk we will discuss an answer to a question of Alexander Koldobsky and present a discrete version of his slicing inequality. We let $\# K$ be a number of integer lattice points contained in a set $K$. We show that for each $d\in \mathbb{N}$ there exists a constant $C(d)$ depending on $d$ only, such that for any origin-symmetric convex body $K \subset \mathbb{R}^d$ containing $d$ linearly independent lattice points $$ \# K \leq C(d)\text{max}_{\xi \in S^{d-1}}(\# (K\cap \xi^\perp))\, \text{vol}_d(K)^{\frac{1}{d}},$$where $\xi^\perp$ is the hyperplane orthogonal to a unit vector $\xi$ .We show that $C(d)$ can be chosen asymptotically of order $O(1)^d$ for hyperplane slices. Additionally, we will discuss some special cases and generalizations for this inequality. This is a joint work with Martin Henk and Artem Zvavitch.

Robust and Optimal Online Algorithm for Minimum Metric Bipartite Matching

Series
Combinatorics Seminar
Time
Friday, October 28, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Sharath Raghvendra Virginia Tech
Motivated by real-time logistics, I will present a deterministic online algorithm for the Online Minimum Metric Bipartite Matching Problem. In this problem, we are given a set S of server locations and a set R of request locations.The requests arrive one at a time and when it arrives, we must immediately and irrevocably match it to a ``free" server. The cost of matching a server to request is given by the distance between the two locations (which we assume satisfies triangle inequality). The objective of this problem is to come up with a matching of servers to requests which is competitive with respect to the minimum-cost matching of S and R.In this talk, I will show that this new deterministic algorithm performs optimally across different adversaries and metric spaces. In particular, I will show that this algorithm simultaneously achieves optimal performances in two well-known online models -- the adversarial and the random arrival models. Furthermore, the same algorithm also has an exponentially improved performance for the line metric resolving a long standing open question.

On the k-SUM problem

Series
Combinatorics Seminar
Time
Friday, October 21, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Esther EzraGeorgia Tech

Please Note: Joint work with Micha Sharir (Tel-Aviv University).

Following a recent improvement of Cardinal etal. on the complexity of a linear decision tree for k-SUM, resulting in O(n^3 \log^3{n}) linear queries, we present a further improvement to O(n^2 \log^2{n}) such queries. Our approach exploits a point-location mechanism in arrangements of hyperplanes in high dimensions, and, in fact, brings a new view to such mechanisms. In this talk I will first present a background on the k-SUM problem, and then discuss bottom-vertex triangulation and vertical decomposition of arrangements of hyperplanes and how they serve our analysis.

Automorphisms of Strongly Regular Graphs

Series
Combinatorics Seminar
Time
Friday, October 7, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
John WilmesGeorgia Tech
A graph is ``strongly regular'' (SRG) if it is $k$-regular, and every pair of adjacent (resp. nonadjacent) vertices has exactly $\lambda$ (resp. $\mu$) common neighbors. Paradoxically, the high degree of regularity in SRGs inhibits their symmetry. Although the line-graphs of the complete graph and complete bipartite graph give examples of SRGs with $\exp(\Omega(\sqrt{n}))$ automorphisms, where $n$ is the number of vertices, all other SRGs have much fewer---the best bound is currently $\exp(\tilde{O}(n^{9/37}))$ (Chen--Sun--Teng, 2013), and Babai conjectures that in fact all primitive SRGs besides the two exceptional line-graph families have only quasipolynomially-many automorphisms. In joint work with Babai, Chen, Sun, and Teng, we make progress toward this conjecture by giving a quasipolynomial bound on the number of automorphisms for valencies $k > n^{5/6}$. Our proof relies on bounds on the vertex expansion of SRGs to show that a polylogarithmic number of randomly chosen vertices form a base for the automorphism group with high probability.

Algorithmic interpretations of fractal dimension

Series
Combinatorics Seminar
Time
Monday, September 12, 2016 - 16:05 for 1 hour (actually 50 minutes)
Location
Skiles 169
Speaker
Anastasios SidiropoulosThe Ohio State University
The computational complexity of many geometric problems depends on the dimension of the input space. We study algorithmic problems on spaces of low fractal dimension. There are several well-studied notions of fractal dimension for sets and measures in Euclidean space. We consider a definition of fractal dimension for finite metric spaces, which agrees with standard notions used to empirically estimate the fractal dimension of various sets. When the fractal dimension of the input is lower than the ambient dimension, we obtain faster algorithms for a plethora of classical problems, including TSP, Independent Set, R-Cover, and R-Packing. Interestingly, the dependence of the performance of these algorithms on the fractal dimension closely resembles the currently best-known dependence on the standard Euclidean dimension. For example, our algorithm for TSP has running time 2^O(n^(1-1/delta) * log(n)), on sets of fractal dimension delta; in comparison, the best-known algorithm for sets in d-dimensional Euclidean space has running time 2^O(n^(1-1/d)).

Counting Independent Sets in Regular Hypergraphs

Series
Combinatorics Seminar
Time
Friday, September 9, 2016 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Emma CohenGeorgia Tech

Please Note: Joint work with Will Perkins and Prasad Tetali.

We consider the extremal counting problem which asks what d-regular, r-uniform hypergraph on n vertices has the largest number of (strong) independent sets. Our goal is to generalize known results for number of matchings and independent sets in regular graphs to give a general bound in the hypergraph case. In particular, we propose an adaptation to the hypergraph setting of the occupancy fraction method pioneered by Davies et al. (2016) for use in the case of graph matchings. Analysis of the resulting LP leads to a new bound for the case r=3 and suggests a method for tackling the general case.

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