Week of May 15, 2022

Mon May 16, 2022
4:00pm to 5:00pm - Zoom - https://uci.zoom.us/j/97796361534 - Applied and Computational Mathematics
Anne Gelb - (Dartmouth College)
Empirical Bayesian inference using a support informed prior

Abstract: We develop a new empirical Bayesian inference algorithm for solving a linear inverse problem given multiple measurement vectors (MMV) of  noisy observable data. Specifically, by exploiting the joint sparsity across the multiple measurements in the sparse domain of the underlying signal or image, we construct a new support informed prior. While a variety of applications can be modeled using this framework, our prototypical example comes from synthetic aperture radar (SAR) data, from which data are acquired from neighboring aperture windows. Hence a good test case is to consider the observations modeled as noisy Fourier samples. Our numerical experiments demonstrate that using the support informed prior not only improves accuracy of the recovery, but also reduces the uncertainty in the posterior when compared to standard sparsity producing priors.
This is joint work with Theresa Scarnati formerly of the Air Force Research Lab Wright Patterson and now working at Qualis Corporation in Huntsville, AL, and Jack Zhang, a 2020 bachelor degree recipient at Dartmouth College now enrolled in the University of Minnesota’s PhD program in mathematics.

Tue May 17, 2022
4:00pm - ISEB 1200 - Differential Geometry
Christos Mantoulidis - (Rice University)
A nonlinear spectrum on closed manifolds

Abstract: The p-widths of a closed Riemannian manifold are a nonlinear 
analogue of the spectrum of its Laplace--Beltrami operator, which was 
defined by Gromov in the 1980s and corresponds to areas of a certain 
min-max sequence of hypersurfaces. By a recent theorem of 
Liokumovich--Marques--Neves, the p-widths obey a Weyl law, just like 
the eigenvalues do. However, even though eigenvalues are explicitly 
computable for many manifolds, there had previously not been any >= 
2-dimensional manifold for which all the p-widths are known. In recent 
joint work with Otis Chodosh, we found all p-widths on the round 
2-sphere and thus the previously unknown Liokumovich--Marques--Neves 
Weyl law constant in dimension 2.

 

Wed May 18, 2022
2:00pm to 3:00pm - 510R Rowland Hall - Combinatorics and Probability
Roman Vershynin - (UCI)
Mathematics of synthetic data. I. Differential privacy.

This is a series of talks on synthetic data and its privacy. It is meant for beginners. In the first talk we will introduce the notion of differential privacy, construct a private mean estimator, and try (unsuccessfully) to construct a private measure. 

2:00pm to 3:00pm - 440R - Mathematical Physics
Shiwen Zhang - (U Minnesota)
Approximating the ground state eigenvalue via the effective potential

 

we study 1-d random Schrödinger operators on a finite interval with Dirichlet boundary conditions. We are interested in the approximation of the ground state energy using the minimum of the effective potential. For the 1-d continuous Anderson Bernoulli model, we show that the ratio of the ground state energy and the minimum of the effective potential approaches 

π^2/8

Thu May 19, 2022
9:00am to 10:00am - Zoom - Inverse Problems
Per Christian Hansen - (Technical University of Denmark)
Title: Convergence and Non-Convergence of Algebraic Iterative Reconstruction Methods

https://sites.uci.edu/inverse/

11:00am - RH 306 - Harmonic Analysis
Ruixiang Zhang - (UC Berkeley)
A stationary set method for estimating oscillatory integrals

Given a polynomial $P$ of constant degree in $d$ variables and consider the oscillatory integral $$I_P = \int_{[0,1]^d} e(P(\xi)) \mathrm{d}\xi.$$ Assuming $d$ is also fixed, what is a good upper bound of $|I_P|$? In this talk, I will introduce a ``stationary set'' method that gives an upper bound with simple geometric meaning. The proof of this bound mainly relies on the theory of o-minimal structures. As an application of our bound, we obtain the sharp convergence exponent in the two dimensional Tarry's problem for every degree via additional analysis on stationary sets. Consequently, we also prove the sharp $L^{\infty} \to L^p$ Fourier extension estimates for every two dimensional Parsell-Vinogradov surface whenever the endpoint of the exponent $p$ is even. This is joint work with Saugata Basu, Shaoming Guo and Pavel Zorin-Kranich.

Fri May 20, 2022
3:00pm to 4:00pm - RH 306 - Applied and Computational Mathematics
Zhimin Zhang - (Wayne State University and Beijing Computational Science Research Center)
Efficient spectral methods and error analysis for nonlinear Hamiltonian systems

We investigate efficient numerical methods for nonlinear Hamiltonian systems. Three polynomial spectral methods (including spectral Galerkin, Petrov-Galerkin, and collocation methods). Our main results include the energy and symplectic structure preserving properties and error estimates. We prove that the spectral Petrov-Galerkin method preserves the energy exactly and both the spectral Gauss collocation and spectral Galerkin methods are energy conserving up to spectral accuracy. While it is well known that collocation at Gauss points preserves symplectic structure, we prove that the Petrov-Galerkin method preserves the symplectic structure up to a Gauss quadrature error and the spectral Galerkin method preserves the symplectic structure to spectral accuracy. Furthermore, we prove that all three methods converge exponentially (with respect to the polynomial degree) under sufficient regularity assumption. All these aforementioned properties make our methods possible to simulate the long time behavior of the Hamiltonian system. Numerical experiments indicate that our algorithms are efficient.

4:00pm - MSTB 124 - Graduate Seminar
Li-Sheng Tseng - (UCI)
What is cohomology?