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Texas A&M University
Mathematics

Geometry Seminar

Fall 2021

 

Date:August 25, 2021
Time:3:00pm
Location:Blocker 624
Speaker:Nidhi Kaihnsa , Brown University
Title:On Multistationarity of Phosphorylation Networks
Abstract:Multistationarity in molecular systems underlies switch-like responses in cellular decision making. Determining whether and when a system displays multistationarity is in general a difficult problem. In joint works with Elisenda Feliu, Timo de Wolff, and Oguzhan Yuruk we completely determine the set of kinetic parameters that enable multistationarity in a ubiquitous motif involved in cell signaling, namely a dual phosphorylation cycle. We also address the same question in general for multisite phosphorylation networks. We employ a suite of techniques from (real) algebraic geometry, which in particular concerns the study of the signs of a multivariate polynomial over the positive orthant and sums of nonnegative circuit polynomials.

Date:September 24, 2021
Time:4:00pm
Location:BLOC 302
Speaker:Zhi Jiang, U. Michigan
Title:G-stable rank for tensors and its applications
Abstract:G-stable rank is a new notion of rank for tensors over perfect fields, it is closely related to the stability in geometric invariant theory. We will talk about the motivation of G-stable rank and some of it's properties. We will also discuss the connection to stability. Finally, as an example, we will look at the application of G-stable rank to Cap Set problem.

Date:October 8, 2021
Time:4:00pm
Location:BLOC 302
Speaker:F. Holweck, U. Belfort/Auburn
Title:Graph states and the variety of principal minors for binary symmetric matrices.
Abstract:Abstract: Graph states are special types of quantum states well studied in quantum information theory for their potential applications to quantum error correcting codes or measurement-based quantum computing. The variety of principal minors is an algebraic variety introduced by Holz and Strumfels to study the relations among principal minors of matrices. Its study also has applications to various fields such as matrix theory, probability, and computer vision. In this talk I will explain how one can build a correspondence between the graph states classification under the so-called local Clifford group and the orbits of the variety of principal minors for symmetric matrices over the 2-elements field. This is joint work with Vincenzo Galgano (Trento Univ).

Date:October 11, 2021
Time:3:00pm
Location:BLOC 302
Speaker:Michael Willis, Stanford University
Title:Links, Braids, Infinite Twists, and More
Abstract:We will consider some quantum invariants for links and braids in 3-dimensional Euclidean space, focusing on the Jones polynomial and its various "lifts" to higher categories. These invariants stand at the intersection of knot theory with more general low-dimensional topology and geometry, as well as representation theory, mathematical physics, and more. We will focus on the special role played by the limiting value of such invariants as the strands involved twist about each other infinitely often.

Date:October 22, 2021
Time:4:00pm
Location:zoom
Speaker:Daniel Grady, Texas Tech University
Title:The geometric cobordism hypothesis
Abstract:The cobordism hypothesis of Baez--Dolan, whose proof was sketched by Lurie, provides a beautiful classification of topological field theories: for every fully dualizable object in a symmetric monoidal (infinity,d) category, there is a unique (up to a contractible choice) topological field theory whose value at the point coincides with this object. As beautiful as this classification is, it fails to include non-topological field theories. Such theories are important not just in physics, but also in pure mathematics (for example, Yang-Mills). In this talk, I will survey recent work with Dmitri Pavlov, which proves a geometric enhancement of the cobordism hypothesis. In the special case of topological structures, our theorem reduces to the first complete proof of the topological cobordism hypothesis, after the 2009 sketch of Lurie.

Date:October 25, 2021
Time:3:00pm
Location:BLOC 302
Speaker:Amy Huang, Texas A&M University
Title:Tensor Ranks and Matrix Multiplication Complexity
Abstract:Tensors are multi-dimensional arrays. And notions of ranks and border rank abound in the literature. Tensor decompositions also have a lot of application in data analysis, physics, and other areas of science. I will try to give a colloquium-style talk surveying my current two results about tensor ranks and their application to matrix multiplication complexity. I will also briefly discuss the newest technique we used to achieve our results: border polarity. This talk assumes no background in geometry or algebra. And it is intended for a general audience.

Date:October 29, 2021
Time:4:00pm
Location:zoom
Speaker:Prasit Bhattacharya, University of Notre Dame
Title:Equivariant Steenrod Operations
Abstract:The classical Steenrod algebra is one of the most fundamental algebraic gadgets in stable homotopy theory. It led to the theory of characteristic classes, which is key to some of the most celebrated applications of homotopy theory to geometry. The G-equivariant Steenrod algebra is not known beyond the group of order 2. In this talk, I will recall a geometric construction of the classical Steenrod algebra and generalize it to construct G-equivariant Steenrod operations. Time permitting, I will discuss potential applications to equivariant geometry.

Date:November 1, 2021
Time:3:00pm
Location:BLOC 302
Speaker:John Berman, University of Massachusetts Amherst
Title:Measuring Ramification with Topological Hochschild Homology
Abstract:Topological Hochschild homology (THH) has recently been popular as an approximation to algebraic K-theory, but it is also a measure of ramification in the sense of number theory. I will survey the interaction between THH and ramification / etale extensions, along with some surprising connections to classical algebraic topology. This will culminate in a new computation of THH of any ring of integers R, suggesting the philosophy: Spec(R) -> Spec(Z) is one point away from being etale.

Date:November 4, 2021
Time:4:00pm
Location:BLOC 628
Speaker:E. Gnang, Johns Hopkins University
Title:A Hypermatrix Analog of the General Linear Group
Abstract:Matrices are so ubiquitous and so deeply ingrained into our mathematical lexicon that one naturally asks: “Are there higher-dimensional analogs of matrices; more importantly why bother with them at all?” In short, hypermatrices are higher-dimensional matrices. Hypermatrices are important because they broaden the scope of matrix concepts such as spectra and group actions. Hypermatrix algebras also illuminate subtle aspects of matrix algebra. In this talk we describe an instance where the transition from matrices to third order hypermatrices results in a symmetry breaking of two equivalent definitions of the matrix general linear group. We show how this transition shines a light on subtle details of invariant theory.

Date:November 8, 2021
Time:3:00pm
Location:zoom
Speaker:V. Makam
Title:Emerging applications of invariant theory to statistics
Abstract:Maximum likelihood estimation is a technique in statistics that is widely used to recover the probability distribution in a statistical model that best explains the empirical data. A curious connection between stability notions in invariant theory and maximum likelihood estimation for a large class of statistical models was uncovered by Amendola, Kohn, Reichenbach, and Seigal, with recent results in complexity theory forming a bridge. In this talk, I will give an overview of these connections, present some exciting results in a few different settings and sketch out the potential future directions. I will be presenting joint work (and work in progress) combining a few projects with Gergely Berczi, Harm Derksen, Cole Franks, Eloise Hamilton, Philipp Reichenbach, Anna Seigal, and Michael Walter.

Date:November 15, 2021
Time:3:00pm
Location:zoom
Speaker:Tim Seynnaeve, U. Bern
Title:Enumerative geometry for algebraic statistics and semidefinite programming
Abstract:In statistics, the maximum likelihood degree of a statistical model measures the algebraic complexity of maximum likelihood estimation. In convex optimization, the algebraic degree of semidefinite programming measures the algebraic complexity of solving the KKT equations. We discovered that both of these numbers have an interpretation in terms of classical problems in enumerative geometry. To phrase it in a more modern language: they are intersection numbers on the variety of complete quadrics. As an application, we prove a conjecture by Sturmfels and Uhler stating that the maximum likelihood degree behaves polynomially. This illustrates both how methods from algebraic geometry can be used to prove conjectures arising in applications, but also how drawing inspiration from applications gives rise to new geometric questions. This talk is based on joint projects with Rodica Dinu, Laurent Manivel, Mateusz Michalek, Leonid Monin, and Martin Vodicka.

Date:November 19, 2021
Time:4:00pm
Location:zoom
Speaker:Gleb Smirnov, ETH, Zurich
Title:Symplectic mapping class groups of K3 surfaces
Abstract:I will briefly introduce symplectic mapping class groups and explain how to use Seiberg-Witten theory to get information about them. In particular, I will prove that the symplectic mapping class groups of many K3 surfaces are infinitely generated, thus extending a recent result of Sheridan and Smith. Time permitting, we will also discuss the elliptic version of the story, where K3 is replaced with a blow-up of the complex torus.