Seminars and Colloquia by Series

Proximal Optimal Transport Divergences and Stable Gradient Flows

Series
School of Mathematics Colloquium
Time
Thursday, February 12, 2026 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Markos Katsoulakis – University of Massachusetts, Amherst –

We introduce proximal optimal transport divergences that provide a unifying variational framework interpolating between classical f-divergences and Wasserstein metrics. From a gradient-flow perspective, these divergences generate stable and robust dynamics in probability space, enabling the learning of distributions with singular structure, including strange attractors, extreme events, and low-dimensional manifolds, with provable guarantees in sample size.

We illustrate how this mathematical structure leads naturally to generative particle flows for reconstructing nonlinear cellular dynamics from snapshot single-cell RNA sequencing data,including real patient datasets, highlighting the role of proximal regularization in stabilizing learning and inference in high dimensions.

Bio: Markos Katsoulakis is a Professor of Applied Mathematics and an Adjunct Professor of Chemical & Biomolecular Engineering at UMass Amherst,  whose research lies at the interface of PDEs, uncertainty quantification, scientific machine learning, and information theory. He serves on the editorial boards of the SIAM/ASA Journal on Uncertainty Quantification, the SIAM Journal on Scientific Computing, and the SIAM Mathematical Modeling and Computation book series. He received his Ph.D. in Applied Mathematics from Brown University and his B.Sc. from the University of Athens. His work has been supported by AFOSR, DARPA, NSF, DOE, and the ERC.

On the Stabilizing Effect of Fluid Expansion for Relativistic Gaseous Stars

Series
PDE Seminar
Time
Tuesday, February 10, 2026 - 15:30 for 1 hour (actually 50 minutes)
Location
Skiles 254
Speaker
Zhongtian Hu – Princeton University

It is well-known that a spacetime which expands sufficiently fast can stabilize the fluid for relativistic/Einstein-fluid systems. One may wonder whether the expansion of the fluid, instead of the background spacetime geometry, is also able to achieve a similar stabilizing effect. As an attempt to address this question, we consider the free boundary relativistic Euler equations in Minkowski background M1+3 equipped with a physical vacuum boundary, which models the motion of relativistic gas. For the class of isentropic, barotropic, and polytropic gas, we construct an open class of initial data which launch future-global solutions. Such solutions are spherically symmetric, have small initial density, and expand asymptotically linearly in time. In particular, the asymptotic rate of expansion is allowed to be arbitrarily close to the speed of light. Therefore, our main result is far from a perturbation of existing results concerning the classical Euler counterparts. This is joint work with Marcelo Disconzi and Chenyun Luo.

On sections of Lefschetz fibrations over the disk

Series
Geometry Topology Seminar
Time
Monday, February 9, 2026 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Riccardo Pedrotti – UMass Amherst

I'll report on an ongoing project, partly joint work with J. Hillman, aimed at finding criteria for the existence of sections on a given Lefschetz fibration over a surface. We will start by presenting a nice algebraic criterion for the existence of sections in a surface bundle and explain what goes wrong if we try to apply it to the more general Lefschetz fibration case. The question of when a nullhomotopic loop in the boundary of a Lefschetz fibration over the disk can be extended to a section over the whole disk is one such subtle issue. Our computations suggest that working with continuous or smooth sections leads to different answers.

Degenerations and Uniformity

Series
Algebra Seminar
Time
Monday, February 9, 2026 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Jit Wu Yap – Massachusetts Institute of Technology

Please Note: There will be a pre-seminar at 10:55-11:25 in Skiles 005.

Rescaling limits were first introduced by Jan Kiwi to study degenerations of rational maps of degree at least two. Building on the work of Luo and Favre–Gong, we explain how rescaling limits can serve as a substitute for a good compactification of $Rat_d$, the moduli space of degree d rational maps. In particular, this framework allows one to promote pointwise results to uniform statements in a systematic way. 

Exact threshold for non-linear Hamilton cycles

Series
Combinatorics Seminar
Time
Friday, February 6, 2026 - 15:15 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Byron Chin – MIT –

For positive integers $r > \ell \geq 1$, an $\ell$-cycle in an $r$-uniform hypergraph is a cycle where each edge consists of $r$ vertices and each pair of consecutive edges intersect in $\ell$ vertices. For $\ell \geq 2$, we determine the exact threshold for the appearance of Hamilton $\ell$-cycles in an Erd\H{o}s--R\'enyi random hypergraph, confirming a conjecture of Narayanan and Schacht. The main difficulty is that the second moment is not tight for these structures. I’ll discuss how a variant of small subgraph conditioning and a subsampling procedure overcome this difficulty.

Lower bounds on Lyapunov exponents using hypoellipticity

Series
CDSNS Colloquium
Time
Friday, February 6, 2026 - 15:00 for 1 hour (actually 50 minutes)
Location
Skiles 314
Speaker
Ketan Kalgi – Tulane University –

Please Note: Zoom link: https://gatech.zoom.us/j/91390791493?pwd=QnpaWHNEOHZTVXlZSXFkYTJ0b0Q0UT09

Proving positivity of the top Lyapunov exponent ($\lambda_1$​) and obtaining parameter-dependent lower bounds is an interesting and challenging problem for SDEs (stochastic differential equations). We outline methods to obtain lower bounds and establish positivity of $\lambda_1$​ for certain SDEs, combining the coordinate rescaling framework of Pinsky–Wihstutz (1988) for nilpotent linear It\^{o} systems with Fisher information formulas for Lyapunov exponents introduced by J. Bedrossian, A. Blumenthal, and S. Punshon-Smith (2022). This approach uses hypoellipticity and regularity of 2nd order linear PDEs.

We apply these techniques to a 2-D toy SDE to obtain positive lower bounds and small-noise scaling (in terms of noise parameter $\sigma$) for $\lambda_1$​ as $\sigma \to 0$. These techniques avoid computing the stationary density explicitly, using only qualitative regularity of the limiting stationary density coming from hypoellipticity. We also present how a similar approach yields shear-induced chaos for a stochastically driven limit cycle closely related to the Hopf normal form with additive noise, by proving $\lambda_1 > 0$. Finally, we briefly discuss additional SDEs where we believe variants of these ideas may yield positive lower bounds on $\lambda_1$. This work is part of ongoing joint work with Samuel Punshon-Smith.
 

Introduction to Teichmuller theory, classical and higher rank II

Series
Geometry Topology Working Seminar
Time
Friday, February 6, 2026 - 14:00 for 1.5 hours (actually 80 minutes)
Location
Skiles 006
Speaker
Mike Wolf – Georgia Tech

We give an overview of Teichmuller theory, the deformation theory of Riemann surfaces. The richness of the subject comes from all the perspectives one can take on Riemann surfaces: complex analytic for sure, but also Riemannian, topological, dynamical and algebraic.  In the past 40 years or so, interest has erupted in an extension of Teichmuller theory, here thought of as a component of the character variety of surface group representations into PSL(2,\R), to the study of the character variety of surface group representations into higher rank Lie groups (e.g. SL(n, \R)). We give a even breezy  discussion of that.

A framework to study twisted bilayer graphene in a tight binding model

Series
Math Physics Seminar
Time
Friday, February 6, 2026 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Ian Jauslin – Rutgers University –

The study of the electronic properties of twisted bilayer graphene (TBG) has garnered much attention from the condensed matter community recently. TBG is obtained by stacking two graphene monolayers on top of each other, and rotating one of them with respect to the other. Theoretical and experimental analyses have found that the electronic properties of TBG depend very strongly on the angle between the layers. In fact, a handful of “magic” angles have been predicted at which TBG becomes a superconductor, and this has even been verified experimentally. The model commonly used to study TBG is an effective one, and was derived by Bistritzer and MacDonald. In this talk, I will present recent results on developing a framework to study TBG from first principles. To be more exact, we consider a tight-binding model for the electrons, but make no further approximations. Using a renormalization group technique, we construct a perturbative expansion to study TBG that is convergent when the twisting angle satisfies certain diophantine conditions. This is joint work with V. Mastropietro.

Beyond propagation of chaos: A stochastic algorithm for mean-field optimization

Series
Stochastics Seminar
Time
Thursday, February 5, 2026 - 15:30 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Chandan Tankala – University of Oregon –

Sampling and mean-field optimization can be viewed as optimization in the space of probability distributions. Stochastic optimization algorithms like stochastic gradient descent have been immensely successful for optimization over Euclidean spaces. However, the infinite-dimensional space of probability distributions poses unique challenges. In this talk, I will discuss my recent work on the design and analysis of a stochastic algorithm for mean-field optimization with applications to the increasingly studied area of mean-field neural networks.

Computer Algebra club/seminar

Series
Additional Talks and Lectures
Time
Wednesday, February 4, 2026 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Rickey Huang – Georgia Tech

From a 3-body problem (CR3BP)
to modeling periodic trajectories with algebraic curves
to minimal problems (related to liaison navigation)
solved via computer algebra (python, Macaulay2).
 

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