Mathematics Colloquium

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Event details

Date 17.06.2026
Hour 16:1517:15
Speaker Prof. Joel A. Tropp, Steele Family Professor of Applied & Computational Mathematics, Caltech
Location
Category Conferences - Seminars
Event Language English
Title
Positive random walks and positive-semidefinite random matrices

Abstract:
On the real line, a random walk that can only move in the positive direction is very unlikely to remain close to its origin. After a fixed number of steps, the left tail has a Gaussian profile under minimal assumptions. Remarkably, a similar phenomenon occurs when we consider a positive random walk on the cone of positive-semidefinite matrices. After a fixed number of steps, the minimum eigenvalue is described by a Gaussian random matrix model.
This talk introduces a new way to make this intuition rigorous. The methodology addresses an open problem in computational mathematics about sparse random embeddings. The presentation targets a general mathematical audience.
Preprint: https://arxiv.org/abs/2501.16578

Please register on the following form : https://forms.gle/ppXwKo9HmTgFk3rc7

Practical information

  • Informed public
  • Invitation required
  • This event is internal

Organizer

  • Prof. Nicolas Boumal

Contact

  • Institute of Mathematics

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