Week of February 12, 2023

Mon Feb 13, 2023
12:00pm - zoom - Probability and Analysis Webinar
Stephanie Mui - (NYU Courant)
TBA

https://sites.google.com/view/paw-seminar

4:00pm to 5:00pm - Zoom - https://uci.zoom.us/j/97796361534 - Applied and Computational Mathematics
Kui Ren - (Columbia University)
On Weighted Least-Squares for Computational Optimization

Weighted least-squares optimization has been revisited in recent years for the computational solution of data-matching problems. Different weighting strategies have been proposed depending on the features in the solutions that one wants to promote or suppress. While the idea of using weights is quite old, there are some new understanding of it in the context of recent applications. We will review some of the recent results in this direction and highlight the impact of the weighting schemes on problems with noisy data.

4:00pm to 5:00pm - RH 340N - Geometry and Topology
Federico Scavia - (UCLA)
Massey Products in Galois cohomology

The Borromean rings are three interlinked circles such that no two circles are linked: if we cut or remove one of the circles, the other two fall apart. Massey products are an algebraic manifestation of this phenomenon. Born as part of Algebraic Topology, they have now made a surprising appearance in Number Theory and Galois Cohomology. The Massey Vanishing Conjecture of Minac and Tan predicts that all Masseyproducts in the Galois cohomology of a field vanish as soon as they are defined. In this talk, I will give an informal introduction to Massey products in Topology and Galois Theory, and then describe recent progress on the Massey Vanishing Conjecture, joint with Alexander Merkurjev

Tue Feb 14, 2023
1:00pm to 2:00pm - RH 440R - Dynamical Systems
William Wood - (UC Irvine)
Geometry of Hyperbolic Loci in $SL(2,R)^n$

A hyperbolic locus $\mathcal{H} \subset SL(2,R)^n$ is a connected open set such that for all $x\in\mathcal{H}$, $\{x_i\}_1^n$ is a uniformly hyperbolic set of matrices.  In $SL(2,R)^2$, the geometry of the loci was studied in Avila, Bochi, and Yoccoz's 2008 work. In this talk, some of the details of the geometry in higher dimensions will be discussed, as well as the relevance with Schrodinger operators. 

Wed Feb 15, 2023
2:00pm to 3:00pm - 510R Rowland Hall - Combinatorics and Probability
Stefan Steinerberger - (University of Washington )
Graphical Designs

Spherical Designs are very special points on the sphere with the property that the average of a low-degree polynomial over the points is the same as the global average of the polynomial on the sphere. As it turns out, the definition can be suitably interpreted to make sense on a finite combinatorial Graph as well.  The arising structures are breathtakingly pretty (many pictures will be shown). They can be interpreted as the analogue of Platonic bodies in graphs. Graphs can have many more symmetries than Euclidean space and, correspondingly, some of these point structures are remarkably symmetric. This is also naturally related to Extremal Combinatorics where classical Theorems (the Erdos-Ko-Rado Theorem or the Deza-Frankl theorem)  suddenly turn into beautiful special cases.   If we only consider the hypercube graph {0,1}^d, we naturally encounter problems from coding theory.   A probabilistic interpretation tells us new things about the speed with which random walks on the graph become random.   There will be pictures, a survey of recent results by C. Babecki, K. Golubev, D. Shiroma, R. Thomas and many, many open problems.

Thu Feb 16, 2023
9:00am to 9:50am - Zoom - Inverse Problems
Plamen Stefanov - (Purdue University)
The Lorentzian scattering rigidity problem and rigidity of stationary metrics

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

11:00am - RH 306 - Harmonic Analysis
Alexander Volberg - (Michigan State University)
Regularity of vector stationary processes and matrix weight boundedness of singular integrals

Masani and Wiener asked to characterize the regularity of vector stationary stochastic processes. The question easily translates to a harmonic analysis question: for what matrix weights the Hilbert transform is bounded with respect to this weight? We solved this problem with Sergei Treil in 1996 introducing the matrix A_2 condition.

But what is the sharp estimate of the Hilbert transform in terms of matrix A_2 norm? This is still unknown in a striking difference with scalar case.

Convex body valued operators helped to get the estimate via norm raised to the power 3/2. But shouldn't it be power 1? 

We construct an example of a rather natural operator for which the estimate in scalar and vector case is indeed different. But it is not the Hilbert transform.

Fri Feb 17, 2023
1:00pm - DBH 1200 - Graduate Seminar
TBA - (UC Irvine)
TBA