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Christoph Thäle, Ruhr-Universität Bochum, Germany, Random Cones

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Let $U_1,\ldots,U_n$ be independent random vectors which are uniformly distributed on the unit sphere. The random hyperplanes $U_1^\perp,\ldots,U_n^\perp$ dissect the space into a collection of random cones. A uniform random cone $S_n$ from this collection is called the Schläfli random cone. In a classical paper of Cover and Efron (1967) it was proved that the…

Mihaela Paun, University of Glasgow, Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation

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In this talk I will present a Bayesian approach to quantify the uncertainty of model parameters and hemodynamic predictions in a one-dimensional fluid-dynamics model of the pulmonary system by integrating mouse imaging data and hemodynamic data. The long-term aim is to devise a calibrated patient-specific model. I emphasize an often neglected, though the important source…

Geng Chen, University of Kansas, Poiseuille flow of nematic liquid crystals via Ericksen-Leslie model

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In this talk, we will discuss a recent global existence result on the Poiseuille flow of nematic liquid crystals via full Ericksen-Leslie model. The existing results on the Ericksen-Leslie model for the liquid crystals mainly focused on the parabolic and elliptic type models by omitting the kinetic energy term. In this recent progress, we established…

Paata Ivanisvili, North Carolina State University, Enflo’s problem

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A nonlinear analogue of the Rademacher type of a Banach space was introduced in classical work of Enflo. The key feature of Enflo type is that its definition uses only the metric structure of the Banach space, while the definition of Rademacher type relies on its linear structure. I will speak about the joint work with…

Bobby Wilson, University of Washington, Marstrand’s Theorem in general Banach spaces

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We will discuss Marstrand's classical theorem concerning the interplay between density of a measure and the Hausdorff dimension of the measure's support in the context of finite-dimensional Banach spaces. This is joint work with David Bate and Tatiana Toro. Website: https://sites.google.com/view/paw-seminar Host: Paata Ivanisvili  pivanis@ncsu.edu

Huy Nguyen, Brown University, Mathematical Aspects of Free-boundary Problems in Fluid Mechanics

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Free-boundary problems are partial differential equations in which the unknown function and its domain must be simultaneously determined. They arise ubiquitously as mathematical models for phenomena in many fields, most notably in physics, biology and finance. Free boundary problems are typically highly nonlinear and nonlocal in nature, making their analysis challenging. I will discuss two fundamental…

Weilin Li, Courant Institute, Generalization error of minimum weighted norm and kernel interpolation

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A central question in machine learning theory is whether an algorithm enjoys good generalization, which is the ability to correctly predict new examples from prior observations. While classical wisdom advocates for methods with fewer parameters than data points in order to avoid overfitting, modern machine learning algorithms are severely over-parameterized and perfectly fit training data.…

Hangjie Ji, UCLA, Dynamics of thin liquid films on vertical cylindrical fibers

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Thin liquid films flowing down vertical fibers exhibit complex and interesting interfacial dynamics, including droplet formation and traveling wave patterns. Such dynamics play a crucial role in the design of heat and mass exchangers for many engineering applications, including cooling and desalination systems. Recent experiments present a wealth of new dynamics that illustrate the need…

Renan Gross, Weizmann Institute of Science, Israel, Stochastic processes for Boolean profit

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Not even influence inequalities for Boolean functions can escape the long arm of stochastic processes. I will present a (relatively) natural stochastic process which turns Boolean functions and their derivatives into jump-process martingales. There is much to profit from analyzing the individual paths of these processes: Using stopping times and level inequalities, we will reprove…

TAGMaC

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We hope this email finds you well. Given the uniqueness of this academic year, the Triangle Area Graduate Mathematics Conference (TAGMaC) will be happening differently than usual. We’d like to share some initial details about TAGMaC and invite you to register early.   There will only be one meeting of TAGMaC this academic year. It…

TAGMaC

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We hope this email finds you well. Given the uniqueness of this academic year, the Triangle Area Graduate Mathematics Conference (TAGMaC) will be happening differently than usual. We’d like to share some initial details about TAGMaC and invite you to register early.   There will only be one meeting of TAGMaC this academic year. It…

TAGMaC

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We hope this email finds you well. Given the uniqueness of this academic year, the Triangle Area Graduate Mathematics Conference (TAGMaC) will be happening differently than usual. We’d like to share some initial details about TAGMaC and invite you to register early.   There will only be one meeting of TAGMaC this academic year. It…

Fatma Terzioglu, University of Chicago, Mathematics of some emerging imaging techniques

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Computerized tomography techniques, which are used for visualizing the interior structure of an object of interest in a non-invasive manner, have played a central role in medical imaging, industrial non-destructive testing, geophysics, astronomy, and other fields. Yet, the quest for more sensitive, reliable, robust, safer, and cheaper imaging methods is ongoing and has intensified in…

Yuan Gao, Duke University, From rare events to almost sure events: optimal controlled random walk on point clouds

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We focus on analysis and data-driven algorithms for rare events such as essential conformational transitions in biochemical reactions which are modeled by Langevin dynamics on manifolds. We first reinterpret the observed transition paths from the stochastic optimal control viewpoint, which realizes the transitions almost surely. Then based on collected high dimensional point clouds and nonlinear…

Raghavendra Venkatraman, Carnegie Mellon University, Interfaces and Defects in Heterogeneous and Anisotropic Media: From Materials Science to Geometric Flows

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Energy-driven pattern formation is ubiquitous in nature; the character and dynamics of such patterns is selected as local minimizers and gradient flows, respectively, of non-convex, and often, non-local energies with multiple spatio-temporal scales. Analysis of such patterns sheds valuable insight upon their origins, and from the viewpoint of applications, is necessary for their control. In this talk, after introducing a…

Sam Hopkins, University of Minnesota, Order Polynomial Product Formulas and Poset Dynamics

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Sam Hopkins will present a heuristic for finding special families of partially ordered sets. The heuristic says that the posets with order polynomial product formulas are the same as the posets with good dynamical behavior. Here the order polynomial is a certain enumerative invariant of the poset. Meanwhile, the dynamics includes promotion of linear extensions,…