The restricted isometry property (RIP) is a compressed sensing matrix specification which leads to performance guarantees for a wide variety of sparse signal reconstruction algorithms.

# Ergodic Theory & Statistical Mechanics

This weekly seminar welcomes many visiting speakers and also provides a forum for results by Princeton/IAS faculty and graduate students. While most talks focus on one of the two namesake topics, there tends to be overlap with other fields. Most recently, talks have included material on celestial mechanics, number theory, probability theory, the Schrodinger equation, spectral theory and Teichmueller theory.

For more information about this seminar, contact Yakov Sinai or Jon Fickenscher

**Please click on seminar title for complete abstract.**

### Seminar Events

##### TBA - Dong Li

University of British Columbia

##### TBA - Pastur

National Academy of Sciences, Ukraine

##### A new approach to derandomize compressed sensing matrices

Princeton University

##### On CLT for Linear Statistics in Random Matrices

I will discuss recent CLT type results for linear eigenvalue statistics and related objects in various ensembles of Random Matrices. Joint works with Lingyun Li (UC Davis) and Sean O'Rourke (Yale).

UC Davis