MATH Seminar

Title: The Fermi-Pasta-Ulam-Tsingou paradox: history, numeric, analytical results and some ideas (involving Neural Networks)
Seminar: Numerical Analysis and Scientific Computing
Speaker: Guido Mazzuca of Tulane University
Contact: Manuela Girotti,
Date: 2024-04-11 at 10:00AM
Venue: MSC W201
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In this presentation, I tell the story of the Fermi-Pasta-Ulam-Tsingou (FPUT) paradox from its discovery to the present day. While focusing on recent developments, I introduce the concept of adiabatic invariants, a generalization of conserved quantities, as a means to solve the FPUT paradox within a probabilistic framework. Additionally, I shed light on unresolved issues that can be approached through various methodologies, including potential utilization of Neural Networks. Zoom Option:

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