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12:00pm - zoom - Probability and Analysis Webinar Artem Zvavitch - (Kent State University) TBA |
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4:00pm - RH 306 - Applied and Computational Mathematics Faisal Amlani - (Université Paris-Saclay) Some novel Fourier-based PDE solvers for diffusion & wave propagation phenomena: predictions & insights into the underlying physics This talk discusses efforts to study a variety of time-dependent phenomena (in solids, fluids and their interactions) via the development of a new fast Fourier transform-based methodology for the numerical analysis of parabolic and hyperbolic partial differential equations (PDEs) with complex boundary conditions. Such a framework is based on a “continuation” approach for the high-order trigonometric interpolation of a non-periodic function (i.e., mitigating the notorious Gibb’s “ringing” effect), where the ultimate goal is to build high-performance PDE solvers on general domains that can provide stable and efficient resolution while faithfully preserving the dispersion characteristics of the underlying continuous problems. With an eye towards mutual validation of both simulation and experiment, the efficacy of these tools are demonstrated through some of the collaborative scientific problems that have inspired them, including those in materials science (ultrasonic non-destructive testing), cardiovascular medicine (pulsatile blood flow), and geophysics (seismogenic tsunamis). |
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2:00pm to 3:00pm - 510R Rowland Hall - Combinatorics and Probability Jamie Haddock - (Harvey Mudd College) Nonbacktracking Eigenvector Method for Hypergraph Community Detection The hypergraph community detection problem asks us to find groups of related or similar entities in hypergraph data. While there are many approaches to this problem, this talk will focus on a spectral method that utilizes information from the eigenvectors of the nonbacktracking or Hashimoto matrix. The Hashimoto operator can be shown to be related to belief-propagation for statistical inference, and using this relationship we obtain a performant hypergraph community detection algorithm with well-understood regions of success and failure for the hypergraph stochastic block model. The talk will additionally pose some conjectures on the fundamental limits of community detection in hypergraphs. |
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1:00pm to 2:00pm - RH 510R - Behrouz Taji - (UNSW) Algebraic Geometry Seminar -- Hodge theoretic tools in birational geometry I will discuss a few applications of some basic tools in the theory of variation of Hodge structures (VHS) to the birational geometry of families of varieties.
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4:00pm to 5:00pm - RH 306 - Colloquium Daniil Rudenko - (University of Chicago) Volumes of Hyperbolic Polytopes and the Goncharov Depth Conjecture Lobachevsky started to work on computing volumes of hyperbolic polytopes long before the first model of the hyperbolic space was found. He discovered an extraordinary formula for the volume of an orthoscheme via a particular function called dilogarithm. We will discuss a generalization of the formula of Lobachevsky to higher dimensions. For reasons I do not fully understand, a mild modification of this formula leads to the proof of a conjecture of Goncharov about the depth of multiple polylogarithms. Moreover, the same construction leads to a functional equation for polylogarithms generalizing known equations of Abel, Kummer, and Goncharov.
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1:00pm - DBH 1200 - Graduate Seminar Xiangwen Zhang - (UC Irvine) TBA |
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2:00pm to 3:00pm - RH 510R - Dynamical Systems Agnieszka Zelerowicz - (UC Riverside) Lorentz gases on quasicrystals The Lorentz gas was originally introduced as a model for the movement of electrons in metals. It consists of a massless point particle (electron) moving through Euclidean space bouncing off a given set of scatterers $\mathcal{S}$ (atoms of the metal) with elastic collisions at the boundaries $\partial \mathcal{S}$. If the set of scatterers is periodic in space, then the quotient system, which is compact, is known as the Sinai billiard. There is a great body of work devoted to Sinai billiards and in many ways their dynamics is well understood. |
