All Seminars

Title: Packing the largest trees in the tree packing conjecture
Seminar: Combinatorics
Speaker: Richard Montgomery of Warwick University
Contact: Liana Yepremyan, liana.yepremyan@emory.edu
Date: 2023-11-08 at 4:00PM
Venue: MSC E406
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Abstract:
The well-known tree packing conjecture of Gyárfás from 1976 says that, given any sequence of n trees in which the ith tree has i vertices, the trees can be packed edge-disjointly into the complete n-vertex graph. Packing even just the largest trees in such a sequence has proven difficult, with Bollobás drawing attention to this in 1995 by conjecturing that, for each k, if n is sufficiently large then the largest k trees in any such sequence can be packed. This has only been shown for k at most 5, by Zak, despite many partial results and much related work on the full tree packing conjecture. I will discuss a result which proves Bollobás's conjecture by showing that, moreover, a linear number of the largest trees can be packed in the tree packing conjecture. This is joint work with Barnabás Janzer.
Title: How do points on plane curves generate fields? Let me count the ways.
Seminar: Algebra
Speaker: Renee Bell of CUNY Lehman College
Contact: Andrew Kobin, ajkobin@emory.edu
Date: 2023-11-07 at 4:00PM
Venue: MSC W301
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Abstract:
In their program on diophantine stability, Mazur and Rubin suggest studying a curve $C$ over $\mathbb{Q}$ by understanding the field extensions of generated by a single point of $C$; in particular, they ask to what extent the set of such field extensions determines the curve . A natural question in arithmetic statistics along these lines concerns the size of this set: for a smooth projective curve $C$ how many field extensions of $\mathbb{Q}$ — of given degree and bounded discriminant — arise from adjoining a point of $C$? Can we further count the number of such extensions with specified Galois group? Asymptotic lower bounds for these quantities have been found for elliptic curves by Lemke Oliver and Thorne, for hyperelliptic curves by Keyes, and for superelliptic curves by Beneish and Keyes. We discuss similar asymptotic lower bounds that hold for all smooth plane curves $C$, using tools such as geometry of numbers, Hilbert irreducibility, Newton polygons, and linear optimization.
Title: Parabolic stochastic PDEs on bounded domains with rough initial conditions: moment and correlation bounds
Seminar: Analysis and Differential Geometry
Speaker: Le Chen of Auburn University
Contact: Yiran Wang, yiran.wang@emory.edu
Date: 2023-11-03 at 11:00AM
Venue: Atwood 240
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Abstract:
This talk consists of two parts of about the same length. In the first part, we make a general introduction of stochastic partial differential equations (SPDEs) from our own perspective. We will particularly emphasize their deep relationship with statistical physics. This part is intended to be accessible to the general audience. In the second part, we will focus on the nonlinear parabolic stochastic PDEs on a bounded Lipschitz domain driven by a Gaussian noise that is white in time and colored in space, with Dirichlet or Neumann boundary condition. We establish existence, uniqueness and moment bounds of the random field solution under measure-valued initial data $\nu$. We also study the two-point correlation function of the solution and obtain explicit upper and lower bounds. For $C^{1, \alpha}$-domains with Dirichlet condition, the initial data $\nu$ is not required to be a finite measure and the moment bounds can be improved under the weaker condition that the leading eigenfunction of the differential operator is integrable with respect to $|\nu|$. As an application, we show that the solution is fully intermittent for sufficiently high level $\lambda$ of noise under the Dirichlet condition, and for all $\lambda > 0$ under the Neumann condition. The second part of the talk is based on a recent joint-work with David Candil and Cheuk-Yin Lee to appear at Stochastic PDE: Analysis and Computations, 2023 (preprint available at arXiv:2301:06435).
Title: Estimating Kernel Matrix Eigenvalues
Seminar: Numerical Analysis and Scientific Computing
Speaker: Mikhail Lepilov of Emory University
Contact: Matthias Chung, matthias.chung@emory.edu
Date: 2023-11-02 at 10:00AM
Venue: MSC N306
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Abstract:
Kernel matrices have appeared over the past few decades as intermediate structures when computing with "big data," such as during support vector machine classification or kernel ridge regression. Naive matrix algorithms quickly become too computationally intensive once such matrices reach moderate size; in fact, even explicitly forming such matrices is undesirable when the number of points is large. Hence, various low-rank approximations to such matrices become indispensable. If the underlying points come from the real world, however, it is a priori not often clear what the numerical rank of the resulting kernel matrix is for a given tolerance: existing methods like rank-revealing QR factorization or its randomized variants only apply in the case when the full matrix to be approximated has already been formed. In this work, we attempt to approximate the spectral decay of a kernel matrix that comes from a known distribution of points by that of a smaller matrix formed by sampling a few points from a related distribution. To do so, we use only information about the distribution and the analytical properties of the kernel. We explore how and when this may yield a useful approximation of the full spectrum using various sampling schemes.
Title: A Chebotarev Density Theorem over Local Fields
Seminar: Algebra
Speaker: John Yin of University of Wisconsin
Contact: Andrew Kobin, ajkobin@emory.edu
Date: 2023-10-31 at 4:00PM
Venue: MSC W301
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Abstract:
I will present an analog of the Chebotarev Density Theorem which works over local fields. As an application, I will use it to prove a conjecture of Bhargava, Cremona, Fisher, and Gajovi?. This is joint work with Asvin G and Yifan Wei.
Title: Bounds for subsets of F_p^n x F_p^n without L-shaped configurations
Seminar: Discrete Analysis
Speaker: Sarah Peluse of University of Michigan
Contact: Cosmin Pohoata, cosmin.pohoata@emory.edu
Date: 2023-10-30 at 4:00PM
Venue: MSC W301
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Abstract:
I will discuss the difficult problem of proving reasonable bounds in the multidimensional generalization of Szemeredi’s theorem and describe a proof of such bounds for sets lacking nontrivial configurations of the form (x,y), (x,y+z), (x,y+2z), (x+z,y) in the finite field model setting.
Title: Local and global boundary rigidity
Colloquium: Analysis and Differential Geometry
Speaker: Plamen Stefanov of Purdue University
Contact: Yiran Wang, yiran.wang@emory.edu
Date: 2023-10-27 at 2:00PM
Venue: MSC W301
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Abstract:
The boundary rigidity problem consists of recovering a Riemannian metric in a domain, up to an isometry, from the distance between boundary points. We show that in dimensions three and higher, knowing the distance near a fixed strictly convex boundary point allows us to reconstruct the metric inside the domain near that point, and that this reconstruction is stable. We also prove semi-global and global results under certain an assumption of the existence of a strictly convex foliation. The problem can be reformulated as a recovery of the metric from the arrival times of waves between boundary points; which is known as travel-time tomography. The interest in this problem is motivated by imaging problems in seismology: to recover the sub-surface structure of the Earth given travel-times from the propagation of seismic waves. In oil exploration, the seismic signals are man-made and the problem is local in nature. In particular, we can recover locally the compressional and the shear wave speeds for the elastic Earth model, given local information. The talk is based on joint work with G.Uhlmann (UW-Seattle) and A.Vasy (Stanford). We will also present results for a recovery of a Lorentzian metric from red shifts motivated by the problem of observing cosmic strings. This work was featured in the news section of Nature and got recently a Frontiers of Science Award.
Title: A mean-field games laboratory for generative modeling
Seminar: Numerical Analysis and Scientific Computing
Speaker: Benjamin Zhang of University of Massachusetts Amherst
Contact: Lars Ruthotto, lruthotto@emory.edu
Date: 2023-10-26 at 10:00AM
Venue: MSC N306
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Abstract:
We demonstrate the versatility of mean-field games (MFGs) as a mathematical framework for explaining, enhancing, and designing generative models. We establish connections between MFGs and major classes of flow and diffusion-based generative models by deriving continuous-time normalizing flows, score-based models, and Wasserstein gradient flows through different choices of particle dynamics and cost functions. Furthermore, we study the mathematical structure and properties of each generative model by examining their associated MFG's optimality condition, which consist of a set of coupled forward-backward nonlinear partial differential equations. The optimality conditions of MFGs also allow us to introduce HJB regularizers for enhanced training of a broad class of generative models. We present this framework as an MFG laboratory which serves as a platform for revealing new avenues of experimentation and invention of generative models.
Title: The asymptotics of $r(4,t)$
Seminar: Combinatorics
Speaker: Sam Mattheus of UVB
Contact: Liana Yepremyan, liana.yepremyan@emory.edu
Date: 2023-10-25 at 4:00PM
Venue: MSC E406
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Abstract:
I will give an overview of recent work, joint with Jacques Verstraete, where we gave an improved lower bound for the off-diagonal Ramsey number $r(4,t)$, solving a long-standing conjecture of Erd\H{o}s. Our proof has a strong non-probabilistic component, in contrast to previous work. This approach was generalized in further work with David Conlon, Dhruv Mubayi and Jacques Verstraete to off-diagonal Ramsey numbers $r(H,t)$ for any fixed graph $H$. We will go over of the main ideas of these proofs and indicate some open problems.
Title: Additive smoothing in sets of small doubling
Seminar: Analysis and Differential Geometry
Speaker: Giorgis Petridis of University of Georgia
Contact: Cosmin Pohoata, cosmin.pohoata@emory.edu
Date: 2023-10-23 at 4:00PM
Venue: MSC W301
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Abstract:
A useful principle is that taking convolutions tends to `smoothen’ functions. We will explore this principle in the context of characteristic functions of finite sets and get a glimpse of its applications to additive number theory.