Week of November 23, 2025

Mon Nov 24, 2025
2:00pm to 3:00pm - 340P Rowland Hall - Combinatorics and Probability
Alex Wein - (UC Davis)
Precise Error Rates for Computationally Efficient Testing

We consider one of the most basic high-dimensional testing problems: that of detecting the presence of a rank-1 "spike" in a random Gaussian (GOE) matrix. When the spike has structure such as sparsity, inherent statistical-computational tradeoffs are expected. I will discuss some precise results about the computational complexity, arguing that the so-called "linear spectral statistics" achieve the best possible tradeoff between type I & II errors among all polynomial-time algorithms, even though an exponential-time algorithm can do better. This is based on https://arxiv.org/abs/2311.00289 with Ankur Moitra which uses a version of the low-degree polynomial heuristic, as well as forthcoming work with Ansh Nagda which gives a stronger form of reduction-based hardness.

4:00pm - RH 340N - Geometry and Topology
Xiang Tang - (Washington University in St. Louis)
The large time behavior of the heat kernel on homogenous spaces and Bismut's formula

Let G be a connected linear real reductive group with a maximal compact subgroup K. In this talk, we will discuss an approach to studying the large-time behavior of the heat kernel on the corresponding homogeneous space G/K using Bismut's formula. We will try to explain how Bismut's formula provides a natural link between the index theory and representation theory.  In particular, Vogan's λ-map in the representation theory of G plays a central role in the large time asymptotic analysis about the trace of the heat kernel. This talk is based on joint works with Shu Shen and Yanli Song. 

4:00pm to 5:00pm - RH306 - Applied and Computational Mathematics
Jingrong Wei - (Chinese University of Hong Kong)
A Preconditioning Framework for Nonlinear PDEs based on Fenchel-Rockafellar Duality and Transformed Primal-Dual Techniques

A DualTPD method is proposed for solving nonlinear partial differential equations. The method is characterized by three main features. First, decoupling via Fenchel--Rockafellar duality is achieved, so that nonlinear terms are discretized by discontinuous finite element spaces, yielding block-diagonal mass matrices and closed-form updates. Second, improved convergence is obtained by applying transformed primal--dual (TPD) dynamics to the nonlinear saddle-point system, which yields strongly monotone behavior. Third, efficient preconditioners are designed for the elliptic-type Schur complement arising from the separated differential operators, and multigrid solvers are applied effectively. Extensive numerical experiments on elliptic $p$-Laplacian and nonlinear $H(\curl)$ problems are presented, showing significant efficiency gains with global, mesh-independent convergence.This is joint work with Long Chen, Ruchi Guo and Jun Zou.

Tue Nov 25, 2025
3:00pm to 4:00pm - RH 306 - Analysis
John (Nick) Treuer - (UCSD)
Biholomorphic classification problems and the Bergman metric

In complex analysis of one or several variables, one of the motivating questions for research is the classification problem of domains (open, connected sets) up to biholomorphism (bijective, holomorphic maps):  given domains D and D’, when does there exist a bijective holomorphic function from D to D’?  Two tools that are used to study this problem are the Bergman kernel and the Bergman metric.  Metric is in the sense of differential geometry.  In this talk, we will introduce these tools, and in particular, focus on one of the (biholomorphic) invariants associated with the Bergman metric, its holomorphic sectional curvature.   We will give a classification of the bounded domains in C^n with Bergman metrics of constant holomorphic sectional curvature, and we will discuss a generalization of this classification to more general complex manifolds.

4:00pm to 5:00pm - 306 Rowland Hall - Differential Geometry
Alec Payne - (North Carolina State University)
A Generalized Brakke Equality and Worldlines of Mean Curvature Flow

Mean curvature flow (MCF) is the deformation of surfaces with velocity equal to the mean curvature vector. MCF originated in materials science and is widely used as a tool for geometric and topological problems. Major open questions about MCF include how large of singular sets can form, whether the area of the flow is continuous through singular times, and how the various weak solutions may differ. We address these questions under an assumption on the size of the set of singularities with “slow” mean curvature growth. With this assumption, an n-dimensional flow has H^n-measure zero singular sets at every time, has mass that is continuous through singular times, and under an additional mild condition, the level set flow fattens at the discrepancy time of the inner/outer flow. The key technical development is a generalized Brakke equality, which characterizes the deviation from equality in Brakke’s inequality. This is achieved by developing a worldline analysis of Brakke flow, which allows us to relate the regular parts of the flow at different times and estimate the transport of mass into and out of the singular set.