11:00 à 11:45
Colloque

Dirac-Frenkel Dynamics with Momentum

Benjamin Peherstorfer
Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot
En libre accès, dans la limite des places disponibles
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Résumé

Dirac-Frenkel instantaneous residual minimization evolves nonlinear parametrizations of PDE solutions in time, but ill-conditioning can render the parameter dynamics non-unique. We interpret this non-uniqueness as a gauge freedom: nullspace directions that leave the time derivative unchanged can be used to select better-conditioned parameter velocities. Building on Onsager's minimum-dissipation principle, we introduce a history variable (interpretable as momentum) and inject it only along the nullspace directions. The resulting Dirac-Frenkel-Onsager dynamics preserve instantaneous residual minimization, in contrast to standard regularization that can introduce bias, while promoting temporally smooth parameter evolutions. Examples demonstrate that the approach leads to increased robustness in singular and near-singular regimes.

Benjamin Peherstorfer

Benjamin Peherstorfer

Benjamin Peherstorfer is Associate Professor at Courant Institute of Mathematical Sciences. Until 2016, he was a postdoctoral associate in the Aerospace Computational Design Laboratory (ACDL) at the Massachusetts Institute of Technology (MIT), working with Professor Karen Willcox. He received B.S., M.S., and Ph.D. degrees from the Technical University of Munich (Germany) in 2008, 2010, and 2013, respectively. His Ph.D. thesis was recognized with the Heinz-Schwaertzel prize, which is jointly awarded by three German universities to an outstanding Ph.D. thesis in computer science. Benjamin was selected for a Department of Energy (DoE) Early Career Award in the Applied Mathematics Program in 2018 and for an Air Force Young Investigator Program (YIP) award in Computational Mathematics in 2020. In 2021, Benjamin received a National Science Foundation (NSF) CAREER award in Computational Mathematics. His research focuses on computational methods for data- and compute-intensive science and engineering applications, including scientific machine learning, mathematics of data science, model reduction, and computational statistics.

Intervenant(s)

Benjamin Peherstorfer

Associate professor, Courant Institute of Mathematical Sciences, New York University, USA

Événements

Colloque
08:50 à 09:00
Colloque
11:45 à 12:30
Colloque
17:30 à 18:30
Non enregistré
Colloque
17:30 à 18:30
Non enregistré