Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

On Regularity and Asymptotics of Kinetic Alignment Models

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore the mathematical foundations of kinetic alignment models in this 42-minute conference talk delivered at IPAM's Embracing Stochasticity in Electrochemical Modeling Workshop. Delve into wellposedness, regularization, and relaxation properties for a broad class of Fokker-Planck-Alignment models that emerge in collective dynamics and various other applications. Discover groundbreaking results that eliminate the need for regularity or no-vacuum requirements on initial data, representing a significant advancement over previously established findings. Examine the specific application to the classical kinetic Cucker-Smale model, where the speaker demonstrates how any bounded data with finite energy satisfying certain mathematical conditions gives rise to global instantly smooth solutions. Learn about the entropy equality satisfaction and exponential relaxation properties of these solutions, gaining insights into the sophisticated mathematical techniques used to analyze complex dynamical systems in collective behavior modeling.

Syllabus

Roman Shvydkoy - On regularity and asymptotics of kinetic alignment models - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

Reviews

Start your review of On Regularity and Asymptotics of Kinetic Alignment Models

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.