Events

Analysis Seminar – Bingyuan Liu (University of California, Riverside) Geometry of the @-Neumann problem and the D{F index

227 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Abstract. We shall rst introduce the classical works of Hormander and Kohn on the L2 estimates of the @(-Neumann) problem on bounded domains and then describe applications in complex geometry. It turns out that the boundary geometry plays the fundamental role in the Sobolev estimates of the @ solution. The Diederich{Fornss index is the geometric invariant which predicts the estimates.

AWM Welcome Meeting

234 Gordon Palmer Hall AL, United States

Please join the University of Alabama Chapter of the Association for Women in Mathematics at our Welcome Meeting. This will be a great opportunity to learn about us and meet the members. There will be free food  from Zaxby's for everyone! We hope to see you there!

Applied Math Seminar – Dang Nguyen, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: A Multi-scale Approach to  Limit Cycles with Random Perturbations Involving Fast Switching and Small Diffusion Abstract: This talk is devoted to multi-scale stochastic systems. The motivation is to treat limit cycles under random perturbations involving fast  random switching and small diffusion, which are represented by the use of two small parameters. Associated with the

Analysis Seminar – Kabe Moen, University of Alabama

230 Gordon Palmer Hall 505 Hackberry Lane, AL, United States

Title: Cotlar’s Inequality Abstract: We will go over Cotlar’s classic inequality concerning the maximal truncation operator of a Calderon-Zygmund operator.  We will also cover some recent results for operators that satisfy a stronger Cotlar inequality.

Applied Math Seminar – Yichuan Zhao, Georgia State University

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Empirical likelihood for the bivariate survival function under univariate censoring Abstract: The bivariate survival function plays an important role in multivariate survival analysis. Using the idea of influence functions, we develop empirical likelihood confidence intervals for the bivariate survival function in the presence of univariate censoring. It is shown that the empirical log-likelihood ratio