Seminars and Colloquia by Series

Explaining order in non-equilibrium steady states

Series
Stochastics Seminar
Time
Thursday, August 28, 2025 - 15:30 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Jacob CalvertGeorgia Tech

Statistical mechanics explains that systems in thermal equilibrium spend a greater fraction of their time in states with apparent order because these states have lower energy. This explanation is remarkable, and powerful, because energy is a "local" property of states. While non-equilibrium steady states can similarly exhibit order, there can be no local property analogous to energy that explains why, as Landauer argued 50 years ago. However, recent experiments suggest that a local property called “rattling” predicts which states are favored, at least for a broad class of non-equilibrium systems.

 

I will present a Markov chain theory that explains when and why rattling predicts non-equilibrium order. In brief, it "works" when the correlation between a Markov chain's effective potential and the logarithm of its exit rates is high. It is therefore important to estimate this correlation in different classes of Markov chains. As an example, I will discuss estimates of the correlation exhibited by reaction kinetics on disordered energy landscapes, including dynamics of the random energy model and the Sherrington–Kirkpatrick spin glass. (Joint work with Dana Randall.)

How Mathematics Can Drive Innovation in Artificial Intelligence

Series
School of Mathematics Colloquium
Time
Thursday, August 28, 2025 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Talitha WashingtonHoward University

Mathematics is at the core of artificial intelligence, from the linear algebra that powers deep learning to the probability and optimization driving new algorithms. We will explore how mathematical ideas can open new directions for AI innovation and how recent U.S. AI policy trends are shaping research priorities. Together, these perspectives reveal opportunities for mathematicians to influence the design and future of AI technologies.

Some Properties of Integer Cantor Sets

Series
Analysis Seminar
Time
Wednesday, August 27, 2025 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Michael LaceyGeorgia Tech

The `middle third integer Cantor set' consists of those integers which do not have a 2 in their base 3 representation. We will review and extend some results about such sets. For a general integer Cantor set K, with 0 as an allowed digit, it is known that K is intersective, a result of Furstenberg-Katznelson. That is, for a dense set of integers A,  A-A must intersect K.   Writing K={k_1, k_2, ...},  we show that the set of n such that k_n\in A-A has positive density.   The set  p(K), where p is an integer polynomial with zero constant term, is also intersective due to Bergelson-McCutcheon. We show the same density result for p(K).  We also show an L^2 Ergodic Theorem along K.  The pointwise Ergodic Theorem lies beyond current techniques.  Joint work with A Burgin, A Fragkos, D. Mena, M Reguera. 

Ramsey Type problems for highly connected subgraphs

Series
Graph Theory Seminar
Time
Tuesday, August 26, 2025 - 15:30 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Qiqin XieShanghai University

Let $r_2(k)$ denote the smallest integer $n$ such that every $2$-edge-colored complete graph $K_n$ has a monochromatic $k$-connected subgraph. In 1983, Matula established the bound $4(k-1)+1 \leq r_2(k) < (3+\sqrt{11/3})(k-1)+1$. Furthermore, In 2008, Bollobás and Gyárfás conjectured that for any $k, n \in \mathbb{Z}^+$ with $n > 4(k-1)$, every 2-edge-coloring of the complete graph on $n$ vertices 

leads to a $k$-connected monochromatic subgraph with at least $n-2k+2$ vertices. We find a counterexample with $n = \lfloor 5k-2.5-\sqrt{8k-\frac{31}{4}} \rfloor$ for $k\ge 6$, thus disproving the conjecture, 

and we show the conclusion holds for $n > 5k-2.5-\sqrt{8k-\frac{31}{4}}$ when $k \ge 16$. Additionally, we improve the upper bound of $r_2(k)$ to $\lceil (3+\frac{\sqrt{497}-1}{16})(k-1) \rceil$ for all $k \geq 4$.

Ribbon knots and iterated cables of fibered knots

Series
Geometry Topology Seminar
Time
Monday, August 25, 2025 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Jen HomGeorgia Tech

A knot is slice if it bounds a smoothly embedded disk in the four-ball and a knot is ribbon if it bounds such a disk with no local maxima. The slice-ribbon conjecture posits that every slice knot is ribbon. We prove that a linear combination of iterated cables of tight fibered knots is ribbon if and only if it is of the form K # -K, generalizing work of Miyazaki and Baker. Consequently, either iterated cables of tight fibered knots are linearly independent in the smooth concordance group, or the slice–ribbon conjecture fails.

Chip-Firing and Consistency on Regular Matroids

Series
Algebra Seminar
Time
Monday, August 25, 2025 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Alex McDonoughUniversity of Oregon

Please Note: There will be a pre-seminar 10:55-11:15 in Skiles 005.

Traditionally, chip-firing is a discrete dynamical system where poker chips move around the vertices of a graph. One fascinating result is that number of configurations of a fixed number of chips, modulo a firing equivalence relation, is the number of spanning trees of the graph. This relationship gives the set of spanning trees group-like properties.

In this talk, I will discuss how chip-firing ideas can be generalized from graphs to regular matroids, where bases play the role of spanning trees. This will lead to an overview of joint work with Ding, Tóthmérész, and Yuen on the consistency of the Backman-Baker-Yuen Sandpile Torsor. 

============(Below is the information on the pre-talk.)============

Title (pre-talk): Transforming Spanning Trees Using Mathematicians and Coffee Cups

Abstract (pre-talk): There is a fascinating structure to the set of spanning trees of a plane graph, which allows this set to behave much like a group. Perhaps most incredibly, there is a sense in which this structure is canonical.
In this talk, I will show you how spanning trees can be transformed after introducing mathematicians and coffee cups on some of the vertices. This is a variant of the rotor-routing process which takes advantage of a special property of plane graphs.

Uniform estimates for heavy-tailed random matrix products and applications to Anderson Localization

Series
Math Physics Seminar
Time
Friday, August 22, 2025 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Omar HurtadoGeorgia Tech

Random matrix products perhaps among some of the most extensively studied examples of random dynamical systems, and moreover are central to the study of one-dimensional disordered systems. We discuss recent results by the author (joint with S. Raman) obtaining estimates on heavy-tailed random matrix products which are robust under perturbations in an appropriate sense, and hence "uniform" on compact sets of measures in an appropriate topology. We also discuss recent localization results for the Anderson model with heavy tails which make use of these uniform bounds.

Hamilton cycles in pseudorandom graphs: resilience and approximate decompositions

Series
Graph Theory Seminar
Time
Tuesday, July 29, 2025 - 15:30 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Hyunwoo LeeKAIST

Dirac’s classical theorem asserts that, for $n\ge 3$, any $n$-vertex graph with minimum degree at least $n/2$ is Hamiltonian.  Furthermore, if we additionally assume that such graphs are regular, then, by the breakthrough work of Csaba, Kühn, Lo, Osthus, and Treglown, they admit a decomposition into Hamilton cycles and at most one perfect matching, solving the well-known Nash‑Williams conjecture. In the pseudorandom setting, it has long been conjectured that similar results hold in much sparser graphs.

We prove two overarching theorems for graphs that exclude excessively dense subgraphs, which yield nearly optimal resilience and Hamilton‑decomposition results in sparse pseudorandom graphs. In particular, we show that for every fixed $\gamma>0$, there exists a constant $C>0$ such that if $G$ is a spanning subgraph of an $(n,d,\lambda)$-graph satisfying $\delta(G)\ge\bigl(\tfrac12+\gamma\bigr)d$ and $ d/\lambda\ge C,$ then $G$ must contain a Hamilton cycle.

Secondly, we show that for every $\varepsilon>0$, there is $C>0$ so that any $(n,d,\lambda)$-graph with $d/\lambda\ge C$ contains at least $\bigl(\tfrac12-\varepsilon\bigr)d$ edge‑disjoint Hamilton cycles, and, finally, we prove that the entire edge set of $G$ can be covered by no more than $\bigl(\tfrac12+\varepsilon\bigr)d$ such cycles.

All bounds are asymptotically optimal and significantly improve earlier results on Hamiltonian resilience, packing, and covering in sparse pseudorandom graphs.

 

This is joint work with Nemanja Draganić, Jaehoon Kim, David Munhá Correia, Matías Pavez-Signé, and Benny Sudakov.

Reproducing Pairs and Gabor Systems

Series
Dissertation Defense
Time
Tuesday, July 8, 2025 - 11:00 for 1 hour (actually 50 minutes)
Location
ONLINE
Speaker
Logan HartGeorgia Institute of Technology

We first investigate reproducing pairs in Hilbert spaces, with a focus on the discrete case. Reproducing pairs generalize frames and consist of two sequences $\Psi$ and $\Phi$, along with a bounded invertible operator $S_{\Psi,\Phi}$. The work examines sequences that are overcomplete by one element—that is, they become exact upon removal of a single element. A central result shows that if such a sequence admits a reproducing partner, the resulting exact subsequence must form a Schauder basis. This implies that systems like the Gaussian Gabor system at critical density, which lacks a Schauder basis, cannot have a reproducing partner. The result is further generalized to sequences overcomplete by finitely many elements.

Next, we introduce exponential reproducing pairs, where the sequences are weighted exponentials. The associated operator $S_{g\gamma}$ acts as a multiplication operator, and necessary and sufficient conditions are established for when a pair $(g, \gamma)$ forms an exponential reproducing pair.

Lastly, by extending a 2012 result of Heil and Yoon, we develop a two-dimensional theory for weighted exponential systems. It characterizes when weighted double exponential systems are minimal and complete, and provides necessary and sufficient conditions for exactness of arbitrary weighted systems.

Zoom Link: https://gatech.zoom.us/j/93221716846

Applications of Neural Networks with Locally Converging Inputs (NNLCI) for Classical and Quantum PDE Solvers

Series
Dissertation Defense
Time
Monday, July 7, 2025 - 11:00 for 2 hours
Location
Skiles 006
Speaker
Harris Cobb

Please Note: zoom link: https://gatech.zoom.us/j/99430137245

We develop a unified framework for improving numerical solvers with Neural Networks with Locally Converging Inputs (NNLCI). First, we applied NNLCI to 2D Maxwell’s equations with perfectly matched‐layer boundary conditions for light–PEC (perfect electric conductor) interactions. A network trained on local patches around specific PEC shapes successfully predicted solutions on globally different geometries. Next, we tested NNLCI on various ODEs: it failed for chaotic systems (e.g., double pendulum) but was effective for nonchaotic dynamics, and in simple cases can be interpreted as a well‐defined function of its inputs. Although originally formulated for hyperbolic conservation laws, NNLCI also performed well on parabolic and elliptic problems, as demonstrated in a 1D Poisson–Nernst–Planck ion‐channel model. Building on these results, we applied NNLCI to multi‐asset cash‐or‐nothing options under Black–Scholes. By correcting coarse‐ and fine‐mesh ADI solutions, NNLCI reduced RMSE by factors of 4–12 on test parameters, even when trained on a small fraction of the parameter grid. Careful treatment of far‐field boundary truncation was critical to maintain convergence far from the strike price. Finally, we demonstrate NNLCI’s first application to quantum algorithms by improving variational quantum‐algorithm (VQA) outputs for the 1D Poisson equation under realistic NISQ‐device noise. Although noisy VQA solutions deviate from classical finite‐difference references and do not converge to true solutions, NNLCI effectively maps these noisy outputs toward high‐accuracy references. We hypothesize that NNLCI implicitly composes the map from coarse quantum outputs to a noisy convergence space, then to the true solution. We discuss conditions for NNLCI to approximate a well‐defined inverse of the numerical scheme and contrast this with Monte Carlo methods, which lack deterministic intermediate states. These results establish NNLCI as a versatile, data‐efficient tool for accelerating solvers in classical and quantum settings.

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