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September 2020

Applied Math Talk: Nonlocal Helmholz-Hodge decompositions for nonlocal operators given by Prof. Petronela Radu (University of Nebraska – Lincoln)

September 28 @ 3:00 pm - 4:00 pm

Nonlocal theories have emerged with powerful models and methods to analyze and predict complex phenomena. Different versions of nonlocal operators have been proposed, each with its advantages and challenges. In this talk I will give an introduction to main ideas in the nonlocality framework and present two sets of results for Helmholtz-Hodge type decompositions.

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Prof. Jemma Lorenat

September 30 @ 4:15 pm - 5:15 pm

Title: A competent translation/a pitiful bungle: The Foundations of Geometry Abstract: David Hilbert’s Grundlagen der Geometrie is a rare example of a historical mathematics text that is still profitably read today and continues to inspire research in mathematics, computer science, and philosophy. The effort of publishing an English translation of Hilbert in 1902 involved a diverse swath of the American mathematical community. Edgar Jerome Townsend completed a first draft of his authorized translation in a few weeks, but the process…

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October 2020

Prof. Satyan Devadoss

October 7 @ 4:15 pm - 5:15 pm

Title: Unsolved Mathematics at Burning Man Abstract: Rising 12 feet tall with an 18-foot wingspan, a 2-ton unfolding dodecahedron comes to life at Burning Man, the world’s most influential large-scale sculpture showcase. The artwork is illuminated by 16,000 LEDs, requiring 6500 build-hours and $50,000 in donated funds, with an interior large enough to hold 15 people and fully-lined with massive mirrors. This sculpture alludes to a tantalizing open problem in mathematics on unfolding polyhedra, tracing its origins back 500 years…

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Prof. Stephan Ramon Garcia

October 28 @ 4:15 pm - 5:30 pm

Title: TBA Abstract: TBA Prof. Garcia is the W.M. Keck Distinguished Service Professor and Professor of Mathematics at Pomona College

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November 2020

Prof. Sarah Marzen

November 4 @ 4:15 pm - 5:30 pm

Title: Training dynamical systems to predict their input Abstract: Evolved systems seem to predict their environment. Even bacteria can implicitly predict future concentrations of scarce sugar or antibiotics, and emerging evidence suggests that even our retinae are able to predict what we see. How? We explore some basic design principles for what causes a system to predict its input, finishing with a call to arms for mathematicians to develop a better framework for understanding input-dependent dynamical systems or recurrent networks.…

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Prof. Eva Kanso

November 11 @ 4:15 pm - 5:15 pm

Title and Abstract TBA Prof. Eva Kanso is a Professor and the Z.H. Kaprielian Fellow in Aerospace and Mechanical Engineering at the University of Southern California.

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