Faculty Activities[ Edit ]
In equilibrium systems there is a long tradition of modelling systems by postulating an energy and identifying stable states with local or global minimizers of this energy. In recent years, with the discovery of Wasserstein and related gradient flows, there is the potential to do the same for timeevolving systems with overdamped (noninertial, viscositydominated) dynamics. Such a modelling route, however, requires an understanding of which energies (or entropies) drive a given system, which dissipation mechanisms are present, and how these two interact. Especially for the Wassersteinbased dissipations this was unclear until rather recently.
In these talks I will discuss some of the modelling arguments that underlie the use of energies, entropies, and the Wasserstein gradient flows. This understanding springs from the common connection between large deviations for stochastic particle processes on one hand, and energies, entropies, and gradient flows on the other.
In the first talk I will describe the variational structure of gradient flows, introduce generalized gradient flows, and give examples. In the second talk I will enter more deeply into the connection between gradient flows on one hand and stochastic processes on the other, in order to explain ׳where the gradientflow structures come from׳.

This minilecture series will be held 9:3012:30 on Mon, Feb 27.
9:30  Coffee
10:0010:50 Lecture I (at an introductory level)
11:0011:40 Lecture II
10:5012:30 Lecture III
Organizers: Amy NovickCohen and Nir Gavish
Type:  Seminar 

Name:  Applied Mathematics Seminar 
Title:  Stochastic origins of gradient flows: relation with modeling 
Speaker:  Mark Peletier 
Place:  Amado, 814, Technion 
Abstract:  
In equilibrium systems there is a long tradition of modelling systems by postulating an energy and identifying stable states with local or global minimizers of this energy. In recent years, with the discovery of Wasserstein and related gradient flows, there is the potential to do the same for timeevolving systems with overdamped (noninertial, viscositydominated) dynamics. Such a modelling route, however, requires an understanding of which energies (or entropies) drive a given system, which dissipation mechanisms are present, and how these two interact. Especially for the Wassersteinbased dissipations this was unclear until rather recently. In these talks I will discuss some of the modelling arguments that underlie the use of energies, entropies, and the Wasserstein gradient flows. This understanding springs from the common connection between large deviations for stochastic particle processes on one hand, and energies, entropies, and gradient flows on the other. In the first talk I will describe the variational structure of gradient flows, introduce generalized gradient flows, and give examples. In the second talk I will enter more deeply into the connection between gradient flows on one hand and stochastic processes on the other, in order to explain ׳where the gradientflow structures come from׳.  This minilecture series will be held 9:3012:30 on Mon, Feb 27. 9:30  Coffee 10:0010:50 Lecture I (at an introductory level) 11:0011:40 Lecture II 10:5012:30 Lecture III Organizers: Amy NovickCohen and Nir Gavish 

SubmittedBy:  Shiri KaplanShabat, mathsec@tx.technion.ac.il 
EventLink:  Event № 432 
T.B.A
Reception will be held at 16:30
Faculty Lounge
Amado Mathematics Building, 8th floor
Type:  Lecture 

Name:  The 30th Elisha Netanyahu Memorial Lecture 
Title:  T.B.A 
Speaker:  Prof. Cedric Villani from Universite de Lyon 
Place:  T.B.A, Technion 
Abstract:  
T.B.A Reception will be held at 16:30 Faculty Lounge Amado Mathematics Building, 8th floor 

SubmittedBy:  Shiri KaplanShabat, mathsec@tx.technion.ac.il 
EventLink:  Event № 421 