Monday, November 28, 2022 — 3:00 PM EST

Title: k-Connectedness and k-Factors in the Semi-Random Graph Process

Speaker: Hidde Koerts
Affiliation: University of Waterloo
Location: MC 6029

Abstract: The semi-random graph process is a single player graph game where the player is initially presented an edgeless graph with n vertices. In each round, the player is offered a vertex u uniformly at random and subsequently chooses a second vertex v deterministically according to some strategy, and adds edge uv to the graph. The objective for the player is then to ensure that the graph fulfils some specified property as fast as possible.

Monday, November 28, 2022 — 11:30 AM EST

Title: A recursive spectral bound for independence

Speaker: Bogdan Nica
Affiliation: Indiana University-Purdue University Indianapolis
Location: Contact Sabrina Lato for Zoom link

Abstract: We discuss an upper bound for the independence number of a graph, in the spirit of the well-known Hoffman bound. Our bound involves the largest Laplacian eigenvalue of the graph; more surprisingly, it also involves the independence number of a certain induced graph. We illustrate the bound on several examples.

Friday, November 25, 2022 — 3:30 PM EST

Title: Integer programs with bounded subdeterminants and two nonzeros per row

Speaker: Stefan Weltge
Affiliation: Technical University of Munich
Location: MC 5501 or contact Eva Lee for Zoom link

Abstract: Determining the complexity of integer linear programs with integer coefficient matrices whose subdeterminants are bounded by a constant is currently a very actively discussed question in the field. In this talk, I will present a strongly polynomial-time algorithm for such integer programs with the further requirement that every constraint contains at most two variables. The core of our approach is the first polynomial-time algorithm for the weighted stable set problem on graphs that do not contain more than k vertex-disjoint odd cycles, where k is any constant. Previously, polynomial-time algorithms were only known for k = 0 (bipartite graphs) and for k = 1.

This is joint work with Samuel Fiorini, Gwenaël Joret, and Yelena Yuditsky, which recently appeared at FOCS this year.

Friday, November 25, 2022 — 12:00 PM EST

Title: Greedy algorithm for stochastic matching is a 2-approximatio

Speaker: Ian DeHaan
Affiliation: University of Waterloo
Location: MC 6029 or contact Rian Neogi for Zoom link

Abstract: We will discuss the greedy algorithm for the stochastic matching problem. In this problem, we are given an undirected graph where each edge is assigned a probability p_e in [0, 1] and each vertex is assigned a patience t_v in Z+. We begin each step by probing an edge e which is not adjacent to any edges in our matching. The probe will succeed with probability p_e, and if it does, we add e to our matching. Otherwise, we may not probe e again. We also may not probe edges adjacent to a vertex v more than t_v times. The goal is to maximize the number of edges we add to our matching. 

Thursday, November 24, 2022 — 1:00 PM EST

Title: Asymptotics of the Euler characteristic of Kontsevich's commutative graph complex

Speaker: Michael Borinsky
Affiliation: ETH, Zurich
Location: MC 5479 or contact Olya Mandelshtam for Zoom link

Abstract: I will present results on the asymptotic growth rate of the Euler characteristic of Kontsevich's commutative graph complex. By a work of Chan-Galatius-Payne, these results imply the same asymptotic growth rate for the top-weight Euler characteristic of M_g, the moduli 
space of curves, and establish the existence of large amounts of unexplained cohomology in this space. This asymptotic growth rate 
follows from new generating functions for the edge-alternating sum of graphs without odd automorphisms. I will give an overview on this 
interaction between topology and combinatorics and illustrate the combinatorial and analytical tools that were needed to obtain these 
generating functions.

Monday, November 21, 2022 — 6:00 PM EST

Title: Exact Zarankiewicz numbers through linear hypergraphs

Speaker: Daniel Horsley
Affiliation: Monash University
Location: Contact Sabrina Lato for Zoom link

Abstract: The \emph{Zarankiewicz number} $Z_{2,2}(m,n)$ is usually defined as the maximum number of edges in a bipartite graph with parts of sizes $m$ and $n$ that has no $K_{2,2}$ subgraph. An equivalent definition is that $Z_{2,2}(m,n)$ is the greatest total degree of a linear hypergraph with $m$ vertices and $n$ edges. A hypergraph is \emph{linear} if each pair of vertices appear together in at most one edge. The equivalence of the two definitions can be seen by considering the bipartite incidence graph of the linear hypergraph.

Friday, November 18, 2022 — 3:30 PM EST

Title: Approximating Weighted Connectivity Augmentation below Factor 2

Speaker: Vera Traub
Affiliation: Research Institute for Discrete Mathematics, University of Bonn
Location: MC 5501 or contact Melissa Cambridge for Zoom link

Abstract:  The Weighted Connectivity Augmentation Problem (WCAP) asks to increase the edge-connectivity of a graph in the cheapest possible way by adding edges from a given set. It is one of the most elementary network design problems for which no better-than-2 approximation algorithm has been known, whereas 2-approximations can be easily obtained through a variety of well-known techniques.

Friday, November 18, 2022 — 12:00 PM EST

Title: Approximation algorithms for stochastic orienteering  

Speaker: Madison Van Dyk
Affiliation: University of Waterloo
Location: MC 6029 or contact Rian Neogi for Zoom link

Abstract: This week we revisit the stochastic orienteering problem in which we are given a metric graph where each node has a deterministic reward and a random size. The goal is to adaptively decide on which nodes to visit to maximize the expected reward, while not exceeding the budget B on the distance plus the size of jobs processed.

Thursday, November 17, 2022 — 1:00 PM EST

Title: Algorithms for Analytic Combinatorics in Several Variables

Speaker: Josip Smolcic
Affiliation: University of Waterloo
Location: MC 5479

Abstract: In this presentation we will see how to apply the theory of complex analysis to study multivariate generating series by looking at several examples. Specifically, given a rational bivariate generating function G(x, y)/H(x, y) with coefficients f_{i, j} the objective is algorithmically determine asymptotic formulas to approximate f_{rn, sn} as n goes to infinity, for fixed positive integers r and s.

Monday, November 14, 2022 — 3:00 PM EST

Title: The Hat Guessing Number of Graphs

Speaker: Jeremy Chizewer
Affiliation: University of Waterloo
Location: MC 6029

Abstract:  The hat guessing number HG(G) of a graph G on n vertices is defined in terms of the following game: n players are placed on the n vertices of G, each wearing a hat whose color is arbitrarily chosen from a set of q possible colors. Each player can see the hat colors of his neighbors, but not his own hat color. All of the players are asked to guess their own hat colors simultaneously, according to a predetermined guessing strategy and the hat colors they see, where no communication between them is allowed. The hat guessing number HG(G) is the largest integer q such that there exists a guessing strategy guaranteeing at least one correct guess for any hat assignment of q possible colors.

Monday, November 14, 2022 — 11:30 AM EST

Title: Graphs, curvature, and local discrepancy

Speaker: Paul Horn
Affiliation: University of Denver
Location: contact Sabrina Lato for Zoom link

Abstract: Spectral graph theory, the use of eigenvalues to study graphs, gives an important window into many properties of graphs.  One of the reasons for this is that the eigenvalues can be used to certify the `pseudo-randomness' of the edge set of a graph.  In recent years, several notions of discrete curvature have been introduced that gives a 'local' way (depending on the neighborhood structure of vertices) to study some of the same properties that eigenvalues can capture. 

Friday, November 11, 2022 — 3:30 PM EST

Title: Forbidding some induced cycles in a graph

Speaker: Linda Cook
Affiliation: Institute for Basic Science, South Korea
Location: MC 5501 or contact Melissa Cambridge for Zoom link

Abstract:  We call an induced cycle of length at least four a hole. The parity of a hole is the parity of its length. Forbidding holes of certain lengths in a graph has deep structural implications. In 2006, Chudnovksy, Seymour, Robertson, and Thomas famously proved that a graph is perfect if and only if it does not contain an odd hole or a complement of an odd hole. In 2002, Conforti, Cornuéjols, Kapoor, and Vušković provided a structural description of the class of even-hole-free graphs.

Friday, November 11, 2022 — 12:00 PM EST

Title: Stochastic Minimum Norm Combinatorial Optimization

Speaker: Sharat Ibrahimpur
Affiliation:  
Location: MC 6029 or contact Rian Neogi for Zoom link

Abstract:  In this work, we introduce and study stochastic minimum-norm optimization. We have an underlying combinatorial optimization problem where the costs involved are random variables with given distributions; each feasible solution induces a random multidimensional cost vector. The goal is to find a solution that minimizes the expected norm of the induced cost vector, for a given monotone, symmetric norm. We give a framework for designing approximation algorithms for stochastic minimum-norm optimization and apply it to give approximation algorithms for stochastic minimum-norm versions of load balancing and spanning tree problems.

Thursday, November 10, 2022 — 1:00 PM EST

Title: Recursions and Proofs in Coxeter-Catalan combinatorics

Speaker: Theo Douvropoulos
Affiliations: U Mass Amherst
Location: MC 5479 or contact Olya Mandelshtam for Zoom link

Abstract:  The collection of parking functions under a natural Sn-action (which has Catalan-many orbits) has been a central object in Algebraic Combinatorics since the work of Haiman more than 30 years ago. One of the lines of research spawned around it was towards defining and studying analogous objects for real and complex reflection groups W; the main candidates are known as the W-non-nesting and W-non-crossing parking functions.

Monday, November 7, 2022 — 11:00 AM EST

Title: Cayley graphs, association schemes and state transfer

Speaker: Soffía Árnadóttir
Affiliation: Technical University of Denmark
Location: contact Sabrina Lato for Zoom link

Abstract: The aim of this talk is to give some examples of how association schemes can be used as a tool to study certain properties of Cayley graphs. In particular, they contribute to our long-term goal of characterizing perfect state transfer in Cayley graphs. The talk is based on the following paper https://arxiv.org/abs/2204.09802.

Friday, November 4, 2022 — 3:30 PM EDT

Title: Sylvester, Gallai, and their complex relatives

Speaker: Jim Geelen
Affiliation: University of Waterloo
Location: MC 5501 or contact Melissa Cambridge for Zoom link

Abstract: Given any finite set of points in the real plane, not all collinear, there is a line in the plane that contains exactly two of them. This pretty result was conjectured by Sylvester in 1893 and proved by Gallai in 1944. We will present an extension of the result to higher dimensional complex spaces and discuss some related conjectures. This is joint work with Matthew Kroeker.

Friday, November 4, 2022 — 12:00 PM EDT

Title: Approximation Algorithms for Stochastic Knapsack 

Speaker: David Aleman
Affiliation: University of Waterloo
Location: MC 6029 or contact Rian Ne

Abstract: The classical Knapsack problem takes as input a set of items with some fixed nonnegative values and weights. The goal is to compute a subset of items of maximum total value, subject to the constraint that the total weight of these elements is at most a given limit. In this talk we review a paper by Gupta, Krishnaswamy, Molinaro and Ravi, in which the following stochastic variation of this problem is considered: the value and weight of each item are correlated random variables with known, arbitrary distributions.

Thursday, November 3, 2022 — 1:00 PM EDT

Title: The Hat Guessing Number of Graphs

Speaker: Jeremy Chizewer
Affiliation: University of Waterloo
Location: MC 5479 in person

Abstract:  The hat guessing number HG(G) of a graph G on n vertices is defined in terms of the following game: n players are placed on the n vertices of G, each wearing a hat whose color is arbitrarily chosen from a set of q possible colors. Each player can see the hat colors of his neighbors, but not his own hat color. All of the players are asked to guess their own hat colors simultaneously, according to a predetermined guessing strategy and the hat colors they see, where no communication between them is allowed.

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