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From quantization of measures to weighted ultrafast diffusion equations

[Moved Online] Hot Topics: Optimal transport and applications to machine learning and statistics May 04, 2020 - May 08, 2020

May 06, 2020 (09:30 AM PDT - 10:30 AM PDT)
Speaker(s): Mikaela Iacobelli (ETH Zurich)
Location: SLMath: Online/Virtual
Tags/Keywords
  • Quantization of measures

  • ultrafast diffusion equations

  • optimal transport

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Secondary Mathematics Subject Classification
Video

From Quantization Of Measures To Weighted Ultrafast Diffusion Equations

Abstract

In this talk I will discuss some recent results on the asymptotic behaviour of a family of weighted ultrafast diffusion PDEs. These equations are motivated by the gradient flow approach to the problem of quantization of measures, introduced in a series of joint papers with Emanuele Caglioti and François Golse. In this presentation I will focus on a result obtained in collaboration with Francesco Saverio Patacchini and Filippo Santambrogio, where we use the JKO scheme to obtain existence, uniqueness, and exponential convergence to equilibrium under minimal assumptions on the data.

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From Quantization Of Measures To Weighted Ultrafast Diffusion Equations

H.264 Video 928_28385_8327_From_Quantization_of_Measures_to_Weighted_Ultrafast_Diffusion_Equations_1.mp4
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