Past Events

The discrete Schrödinger equation on a two-dimensional honeycomb lattice is a fundamental tight-binding approximation model that describes the propagation of electrons on graphene. By the Fourier transform on the honeycomb lattice, the free...

Twenty-first century mathematics has seen the rise of the proof assistant, and mathematical practice has changed significantly with the rise of these new tools. One consequence of this change, for the philosopher of mathematics, is the wider adoption...

Primal-dual hybrid gradient (PDHG) is a first-order method for saddle-point problems and convex programming introduced by Chambolle and Pock. Recently, Applegate et al. analyzed the behavior of PDHG when applied to an infeasible or unbounded instance...

We will talk about Drinfeld modules, and how they compare to elliptic curves for algorithms and computations. Drinfeld modules can be seen as function field analogues of elliptic curves. They were introduced in the 1970's by Vladimir Drinfeld, to...

The peaceable queens problem asks to determine the maximum number $a(n)$ such that there is a placement of $a(n)$ white queens and $a(n)$ black queens on an $n \times n$ chessboard so that no queen can capture any queen of the opposite color. We...

Wiles’ famous proof of Fermat’s Last Theorem pioneered the so-called modular method, in which modularity of elliptic curves is used to show that all integer solutions of Fermat’s equation are trivial. In this talk, we briefly sketch a variant of the...

This alternative math education event will present fun activities to explore math and computer science concepts to children (and adults!) using games and art! Lots of hands-on activities including: Sorting network An impossible balancing act...

Talk titles and abstracts: Natasha Crepeau: Constructing stability conditions from triangulations of Lawrence polytopes Abstract: A stability condition of a graph G is a collection of generalized break divisors of size | ST ( G ) | . In this talk, we...

We present generalizations and modifications of Eldan's Stochastic Localization process, extending it to incorporate non-Gaussian tilts, making it useful for a broader class of measures. As an application, we introduce new processes that enable the...

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