This is an annual series of talks by a distinguished geometric analyst aimed at a general public. It is organized by Y.A. Rubinstein and S.A. Wolpert since the 2017/18 academic year.

2022-2023 Sergiu Klainerman

March 9-10, 2023

Are Black Holes Real? A Mathematical Approach to an Astrophysical Question
March 9, 2023 at 3:15pm
Sergiu Klainerman
Princeton

Abstract: The question whether black holes are real can be approached mathematically by addressing basic issues concerning their rigidity, stability and how they form in the first place. I will review these and focus on recent results concerning the nonlinear stability of slowly rotating Kerr black holes.
Presentation

Nonlinear stability of Kerr Black Holes  for Small Angular Momentum
March 10, 2023 at 3:15 pm
Sergiu Klainerman
Princeton

Abstract: I will describe the main ideas behind  my recent results with J. Szeftel and with E. Giorgi and J. Szeftel  concerning  the nonlinear stability of slowly rotating black holes.
Presentation

2018-2019 Bo Berndtsson

Rubinstein 2018 The classical Brunn-Minkowski theorem is an inequality for volumes of convex bodies. It can be formulated as a statement about how the volumes of vertical slices of a convex body vary when the slice varies. In these lectures we will discuss analogous results in a complex setting, where real convexity is replaced by corresponding notions in complex analysis.
Instead of slices of a convex body we then have the fibers of a holomorphic map, for instance vertical slices of a pseudoconvex domain, and instead of volumes we look at L^2-norms of holomorphic functions on the fiber. Although this picture may at first look quite different from the one in convex geometry, the Brunn-Minkowski theorem turns out to be a fruitful source of inspiration for the complex results.

 

October 31, 2018

Complex Brunn-Minkowski theory - Watch The Video
Wednesday, October 31 at 3:15pm
Bo Berndtsson
About the speaker

Location: Kirwan Hall 3206

Abstract: In the first lecture we will start with a gentle introduction to the Brunn-Minkowski theorem and its generalization to convex functions, Prekopa's theorem. We will then state the results in the complex setting and indicate how the real theory can be seen as a special case when we have enough symmetry. Possibly we will also give some indications of proofs and show how Hormander's L^2-estimates for the dbar-equation replaces the use of the Brascamp-Lieb inequality in the real case.

November 2, 2018 

Complex Brunn-Minkowski theory - Watch The Video
Friday, November 2, at 3:15pm
Bo Berndtsson
About the speaker

Location: Kirwan Hall 3206

Abstract: In the second lecture we will turn to applications. In the first application we will give a proof of a sharp version of a famous result in complex analysis on extension with L^2-estimates of holomorphic functions defined on subvarieties of a pseudoconvex domain, the Ohsawa-Takegoshi theorem. In the proof we deform the ambient domain to a trivial case and use our theorem to show monotonicity of the constants under the deformation (joint work with L. Lempert). The next application is to the Mabuchi space of positively curved metrics on a fixed line bundle over a compact complex manifold. We will sketch a proof of a generalization of the Bando-Mabuchi uniqueness theorem for Kahler-Einstein metrics, using a complex version of Prekopa's theorem. Finally, we shall discuss applications to some positivity results from algebraic geometry, starting with a classical theorem of Griffiths.

2017-2018 Richard Schoen

March 15, 2018

Geometry and General Relativity
Thursday March 15 at 4:30pm
Richard Schoen
Stanford and UC Irvine

Abstract: This talk will be a survey of some of the geometric problems and ideas which either arose from general relativity or have direct bearing on the Einstein equations.

It is intended for a general mathematical audience with minimal physics background.
Topics will include an introduction to the Cauchy problem for the Einstein equations, problems related to gravitational mass which are closely related to the Riemannian geometry of positive scalar curvature, and trapped surfaces which are related to the mean curvature and minimal surfaces.

March 16, 2018

The Positive Mass Theorem Revisited
Friday, March 16 at 3:15pm
Richard Schoen
Stanford and UC Irvine

Abstract: We will introduce the positive mass theorem which is a problem originating in general relativity, and which turns out to be connected to important mathematical questions including the study of metrics of constant scalar curvature and the stability of minimal hypersurface singularities. We will then give a general description of our recent work with S. T. Yau on resolving the theorem on high dimensional non-spin manifolds.

Welcome to the Maryland Distinguished Lectures in Algebra and Number Theory! This is an annual lecture series concerning recent developments in Algebra and Number Theory, delivered by the world's foremost experts. It is organized by Thomas Haines.

2024 Zhiwei Yun

Theme: Higher theta series 

Abstract: Theta series play an important role in the classical
theory of modular forms. In the modern language of automorphic
representations, they are constructed from a pair of groups $G$ and
$H$ (one orthogonal and one symplectic, or both unitary groups) and
the remarkable Weil representation of $G\times H$.  Kudla introduced
an analogue of theta series in arithmetic geometry, by forming a
generating series of algebraic cycles on Shimura varieties. The
arithmetic theta series has since become a very active program.

In joint work with Tony Feng and Wei Zhang, we consider analogues of
arithmetic theta series over function fields, and try to go further
than what was done over number fields.  Our work concentrated on
unitary groups. We defined a generating series of algebraic cycles on
the moduli stack of unitary Drinfeld Shtukas (called the higher theta
series). We made the Modularity Conjecture:  the higher theta series
is an automorphic form valued in a certain Chow group. This is a
function field analogue of the special cycles generating series
defined by Kudla and Rapoport, but with an extra degree of freedom
namely the number of legs of the Shtukas.

One concrete formula we proved was a higher derivative version of the
Siegel-Weil formula. It is an equality between degrees of
0-dimensional special cycles on the moduli of unitary Shtukas and
higher derivatives of the Siegel-Eisenstein series of another unitary
group. More recently, we have obtained a proof of a weaker version of
the Modularity Conjecture, confirming that the cycle class of the
higher theta series (valued in the cohomology of the generic fiber) is
automorphic.

The series of talks will feature a colloquium-style introduction to
some representation-theoretic and geometric background (the second talk), the other
two being more technical talks in which I will explain some ingredients in
the proofs of the higher Siegel-Weil formula and the weak Modularity
Conjecture. 

Higher Theta series, Part I

Tuesday, February 27 at 3:30 pm
University of Maryland - Kirwan Hall Rm 3206
 

 

Higher Theta series, Part II (Colloquium)

Wednesday, February 28 at 3:15 pm
University of Maryland - Kirwan Hall Rm 3206
 

 

Higher Theta series, Part III

Thursday, February 29 at 3:30 pm
University of Maryland - Kirwan Hall Rm 3206
 

 

 

2022 Mark Kisin

Theme: Arithmetic of abelian varieties and their moduli

Essential dimension and prismatic cohomology (Colloquium)

Wednesday, December 7 at 3:15pm
University of Maryland - Kirwan Hall Rm 3206

Abstract: The smallest number of parameters needed to define an algebraic covering space is called its essential dimension. Questions about this invariant go back to Klein, Kronecker and Hilbert and are related to Hilbert's 13th problem. In this talk, I will give a little history, and then explain a new approach which relies on recent developments in $p$-adic Hodge theory. This is joint work with Benson Farb and Jesse Wolfson.

Frobenius conjugacy classes attached to abelian varieties

Thursday, December 8 at 2:00pm
University of Maryland - Kirwan Hall Rm 3206

Abstract: The Mumford-Tate group of an abelian variety $A$ over the complex numbers is an algebraic group $G$, defined in terms of the complex geometry of $A$, more specifically its Hodge structure. If $A$ is defined over a number field $K$, then a remarkable result of Deligne asserts that the ℓ -adic cohomology of $A$ gives rise to a $G$ -valued Galois representation ρ:Gal($\bar K/K$)→$G(\mathbb Q_\ell)$. We will show that for a place of good reduction v∤ℓ of A, the conjugacy class of Frobenius ρ(Frobv) does not depend on ℓ. This is joint work with Rong Zhou.

Heights in the isogeny class of an abelian variety

Friday, December 9 at 2:00pm
University of Maryland - Kirwan Hall Rm 3206

Abstract: Let $A$ be an abelian variety over $\bar{\mathbb Q}.$ In this talk I will consider the following conjecture of Mocz. Conjecture: Let $c > 0.$ In the isogeny class of $A,$ there are only finitely many isomorphism classes of abelian varieties of height $ c.$ I will sketch a proof of the conjecture when the Mumford-Tate conjecture - which is known in many cases - holds for $A.$ This result should be compared with Faltings' famous theorem, which is about finiteness for abelian varieties defined over a fixed number field. This is joint work with Lucia Mocz.

 

2021 Wei Zhang

2019 Ngô Bảo Châu

 

 

 

 

Dr. Kadir Aziz, who had been a Professor Emeritus at the Department of Mathematics and Statistics at UMBC since 1989, passed away on March 25, 2016 in Chevy Chase, Maryland. He was 92 years old.

Kadir was born in Afghanistan in 1923. He grew up and received his early education in Paris where his father was the Afghan ambassador, and later in Washington, DC, where he obtained a bachelor's degree from Wilson Teachers College (now merged with the University of District of Columbia) in 1952, and a Master's degree from George Washington University in 1954.

Thereafter he entered the doctoral program in mathematics at the University of Maryland. His doctoral dissertation in 1958, titled "On Higher Order Boundary Value Problems for Hyperbolic Partial Differential Equations in Two and Three Variables" was written under the guidance of Dr. Joaquin Diaz.

Upon receiving the PhD degree, he obtained a faculty position at Georgetown University, where he quickly rose through the ranks, and in 1963, only five years after his PhD, was appointed a full Professor of Mathematics. In 1966 he assumed the duties of the Department Chairman there.

A year later, in 1967, Kadir moved to the nascent UMBC campus as one of the original senior faculty members of its College of Sciences. At the same time, he was appointed Adjunct Research Professor at the Institute for Physical Science and Technology at UMCP. Kadir was a major force in setting up the foundations of what has now become a thriving Department of Mathematics and Statistics at UMBC.

Kadir's research focused on the numerical analysis of partial differential equations. He was one of pioneers of what became known as the Finite Element Method (FEM). This method rapidly became one of the most powerful and indispensable tools for treating numerical problems of engineering, physics, and other sciences.

It is remarkable that the very first international conference on the mathematical theory of the FEM was held at UMBC in 1972, when UMBC was only six years old. The proceedings of that conference, a book edited by Kadir, and containing a groundbreaking monograph written by him and Ivo Babuska, went on to become a standard reference on the subject and an inspiration for the future development of the field.

During his years at Georgetown and UMBC, Kadir's research was supported by grants from the National Science Foundation, Office of Naval Research, Air Force Office of Scientific Research, Department of Energy, and the Naval Surface Weapons Center. Kadir supervised the dissertations of 14 doctoral students at Georgetown, UMCP, and UMBC.

In 1999, Kadir donated funds to establish what is known as the Aziz Lecture Series -- initially organized at UMBC, and later at UMCP. The purpose of the series is to provide a forum for expository lectures by experts in the field on the numerical solutions of differential equations. One or two Aziz Lectures have been delivered each year since the establishment of this continuing series.

Kadir was well-known for his joie de vivre -- he loved good wine, good food and good conversation. He will be missed for his heartiness, generosity, and sense of humor.

Aziz M LogoLectures on Differential Equations and their Numerical Analysis

The Aziz Lectures were established by a generous gift from Prof. A. Kadir Aziz. The purpose of the lectures is to bring distinguished mathematicians to the University of Maryland, College Park, to give survey lectures on differential equations, their numerical analysis, and related areas.

Kadir Aziz, who died on March 25, 2016 at the age of 92, received his Ph.D. from the University of Maryland, College Park in 1957. He was on the faculty of Georgetown University from 1956 to 1967, and was on the faculty at the University of Maryland, Baltimore County (UMBC) since 1967. He was Professor Emeritus of Mathematics and Statistics at UMBC. Throughout his career Kadir Aziz was an active and highly respected member of the Numerical Analysis community at Maryland.

CV of Kadir Aziz

The Aziz lecture is given at 3pm in the Math Colloquium Room (MTH 3206).

Usually the speaker gives a related talk in the Applied Math Colloquium on the previous day at 3:30pm.

Aziz Lectures 2023

Both the Applied Math Colloquium (April 11 at 3:30pm) and the Aziz Lecture (April 12 at 3:15pm) will be broadcast via Zoom:

April 12, 2023 - 3:15pm

Some Mathematical Aspects of Deep Learning and Stochastic Gradient Descent
Lexing Ying
Stanford University

This talk concerns several mathematical aspects of deep learning and stochastic gradient descent. The first aspect is why deep neural networks trained with stochastic gradient descent often generalize. We will make a connection between the generalization and the stochastic stability of the stochastic gradient descent dynamics. The second aspect is to understand the training process of stochastic gradient descent. Here, we use several simple mathematical examples to explain several key empirical observations, including the edge of stability, exploration of flat minimum, and learning rate decay. Based on joint work with Chao Ma.

Aziz Lectures 2019

May 1, 2019

Operator Preconditioning
Ralf Hiptmair
ETH Zurich
Switzerland

This text is printed on a background of locally refined finite element meshes. For the fast iterative solution of finite element models on such meshes preconditioning is indispensable. This is where operator preconditioning enters stage: it offers a general all-purpose recipe for constructing preconditioners for discrete linear operators that have arisen from a Galerkin approach, in particular, from finite element methods and boundary element methods. The key idea is to employ matching Galerkin discretizations of operators of complementary mapping properties. If these can be found, the resulting preconditioners will be robust with respect to the choice of the bases for trial and test spaces. As a consequence, in a finite element setting, they will still perform well even for high-resolution models.

Aziz Lectures 2018

September 12, 2018

Smooth random functions and smooth random ODEs
Lloyd N. Trefethen
Oxford University
United Kingdom

What is a random function? What is noise? The standard answers are nonsmooth, defined pointwise via the Wiener process and Brownian motion. In the Chebfun project, we have found it more natural to work with smooth random functions defined by finite Fourier series with random coefficients. The length of the series is determined by a wavelength parameter lambda. Integrals give smooth random walks, which approach Brownian paths as lambda shrinks to 0, and smooth random ODEs, which approach stochastic DEs of the Stratonovich variety. Numerical explorations become very easy in this framework. There are plenty of conceptual challenges in this subject, starting with the fact that white noise has infinite amplitude and infinite energy, a paradox that goes back in two different ways to Einstein in 1905.

May 4, 2018

Stochastic Nonlinear Schrödinger Equations
Arnaud Debussche
École Normale Supérieure de Rennes 

The nonlinear Schrödinger equation is a prototype model to describe propagation of waves in dispersive media. It arises in several models and noise appears naturally. It may represent the noise due to amplifiers or random dispersion in the fiber. In this talk I will present some aspects of wellposedness and influence on blow-up phenomena for the stochastic nonlinear Schrödinger equation.

February 7, 2018

Mathematical theory and computational approaches for modern materials science
Claude Le Bris
Ecole des Ponts and Inria

The talk, intended for a general audience, will survey some challenging mathematical and numerical problems in contemporary materials science. Questions such as the passage from the microscale to the macroscale, the insertion of uncertainties, defects and heterogeneities in the models, will be examined. We will discuss the interesting issues raised for mathematical analysis (theory of partial differential equations, stochastic processes, homogenization theory) and for numerical analysis (finite element methods, discrete to continuum, Monte Carlo methods, etc).

Aziz Lectures 2016

December 9, 2016

Modeling traffic flow on a network of roads
Prof. Alberto Bressan
Department of Mathematics
Penn State University

The talk will present various PDE models of traffic flow on a network of roads. These comprise a set of conservation laws, determining the density of traffic on each road, together with suitable boundary conditions, describing the dynamics at intersections. While conservation laws determine the evolution of traffic from given initial data, actual traffic patterns are best studied from the point of view of optimal decision problems, where each driver chooses the departure time and the route taken to reach destination. Given a cost functional depending on the departure and arrival times, a relevant mathematical problem is to determine (i) global optima, minimizing the sum of all costs to all drivers, and (ii) Nash equilibria, where no driver can lower his own cost by changing departure time or route to destination. Several results and open problems will be discussed.

May 4, 2016

Quantum Dots and Dislocations: Dynamics of Materials
Prof. Irene Fonseca
Department of Mathematical Sciences
Carnegie Mellon University

The formation and assembly patterns of quantum dots have a significant impact on the optoelectronic properties of semiconductors. We will address short time existence for a surface diffusion evolution equation with curvature regularization in the context of epitaxially strained three-dimensional films. Further, the nucleation of misfit dislocations will be analyzed.

This is joint work with Nicola Fusco, Giovanni Leoni and Massimiliano Morini.

Aziz Lectures 2015

November 18, 2015

Tensor Sparsity - a Regularity Notion for High Dimensional PDEs
Prof. Wolfgang Dahmen
Institute für Geometrie und Praktische Mathematik
RWTH Aachen University (Germany)

The numerical solution of PDEs in a spatially high-dimensional regime (such as the electronic Schrödinger or Fokker-Planck equations) is severely hampered by the “curse of dimensionality”: the computational cost required for achieving a desired target accuracy increases exponentially with respect to the spatial dimension.

We explore a possible remedy by exploiting a typically hidden sparsity of the solution to such problems with respect to a problem dependent basis or dictionary. Here sparsity means that relatively few terms from such a dictionary suffice to realize a given target accuracy. Specifically, sparsity with respect to dictionaries comprised of separable functions – rank-one tensors – would significantly mitigate the curse of dimensionality. The main result establishes such tensor-sparsity for elliptic problems over product domains when the data are tensor-sparse, which can be viewed as a structural regularity theorem.

April 15, 2015

Waves in random media: the story of the phase
Prof. Lenya Ryzhik
Department of Mathematics Stanford University

The macroscopic description of wave propagation in random media typically focuses on the scattering of the wave intensity, while the phase is discarded as a uselessly random object. At the same time, most of the beauty in wave scattering come from the phase correlations. I will describe some of the miracles, as well as some limit theorems for the wave phase.

May 6, 2015

Mathematical challenges in kinetic models of dilute polymers: analysis, approximation and computation
Prof Endre Süli
Mathematical Institute University of Oxford
United Kingdom

We survey recent analytical and computational results for coupled macroscopic-microscopic bead-spring chain models that arise from the kinetic theory of dilute solutions of polymeric fluids with noninteracting polymer chains, involving the unsteady Navier–Stokes system in a bounded domain and a high-dimensional Fokker–Planck equation. The Fokker–Planck equation emerges from a system of (Ito) stochastic differential equations, which models the evolution of a vectorial stochastic process comprised by the centre-of-mass position vector and the orientation (or configuration) vectors of the polymer chain. We discuss the existence of large-data global-in-time weak solutions to the coupled Navier–Stokes–Fokker–Planck system. The Fokker–Planck equation involved in the model is a high-dimensional partial differential equation, whose numerical approximation is a formidable computational challenge, complicated by the fact that for practically relevant spring potentials, such as finitely extensible nonlinear elastic potentials, the drift coefficient in the Fokker–Planck equation is unbounded.

Aziz Lectures 2014

November 12, 2014

The interplay between geometric modeling and simulation of partial differential equations
Prof. Annalisa Buffa
Istituto di Matematica Applicata e Tecnologie Informatiche "E. Magenes"
Pavia, Italy

Computer-based simulation of partial differential equations involves approximation of the unknown fields and a description of geometrical entities such as the computational domain and the properties of the media. There are a variety of situations: in some cases this description is very complex, in some other the governing equations are very difficult to discretize. Starting with an historical perspective, I will describe the recent efforts to improve the interplay between the mathematical approaches characterizing these two aspects of the problem.

Aziz Lectures 2013

November 8, 2013

Universality and chaos in clustering and branching processes
Prof. Robert Pego
Carnegie-Mellon University

Scaling limits of Smoluchowski's coagulation equation are related to probability theory in numerous remarkable ways. E.g., such an equation governs the merging of ancestral trees in critical branching processes, as observed by Bertoin and Le Gall. A simple explanation of this relies on how Bernstein functions relate to a weak topology for Levy triples. From the same theory, we find the existence of 'universal' branching mechanisms which generate complicated dynamics that contain arbitrary renormalized limits. I also plan to describe a remarkable application of Bernstein function theory to a coagulation-fragmentation model introduced in fisheries science to explain animal group size.

April 2-3, 2013

Maximum Norm Stability and Error Estimates for Stokes and Navier-Stokes Problems
Prof. Vivette Girault
Université Pierre et Marie Curie, Paris, France

Energy norm stability estimates for the finite element discretization of the Stokes problem follow easily from the variational formulation provided the discrete pressure and velocity satisfy a uniform inf-sup condition. But deriving uniform stability estimates in L is much more complex because variational formulations do not lend themselves to maximum norms. I shall present here the main ideas of a proof that relies on weighted L2 estimates for regularized Green's functions associated with the Stokes problem and on a weighted inf-sup condition. The domain is a convex polygon or polyhedron. The triangulation is shape-regular and quasi-uniform. The finite element spaces satisfy a super-approximation property, which is shown to be valid for most commonly used stable finite-element spaces. Extending this result to error estimates and to the solution of the steady incompressible Navier-Stokes problem is straightforward.

Aziz Lectures 2012

February 22, 2012

Semismooth Newton Methods: Theory, Numerics and Applications
Prof. Michael Hintermüller
Department of Mathematics
Humboldt-Universität, Berlin, Germany

Many mathematical models of processes or problems in engineering sciences, mathematical imaging, biomedical sciences or mathematical finance rely on non-smooth structures, either directly through non-differentiable associated energy models, due to (quasi)variational inequality formulations or the presence of inequality constraints in pertinent energy minimization tasks. Based on non-smooth operator equation based (re)formulations of the above problem classes, in this talk a generalized Newton framework in function space is discussed. For this purpose the concept of semismoothness in function space is addressed. Relying on the latter concept, locally superlinear convergence of the associated semismooth Newton iteration is established and its mesh independent convergence behavior upon discretization is shown. In a second part of the talk, the efficiency and wide applicability of the above semismooth Newton framework is highlighted by considering constrained optimal control problems for fluid flow, contact problems with or without adhesion forces, phase separation phenomena relying on non-smooth homogeneous free energy densities and restoration tasks in mathematical image processing.

Aziz Lectures 2011

December 2, 2011

Optimal and Practical Algebraic Solvers for Discretized PDEs
Prof. Jinchao Xu
Center for Computational Mathematics and Applications
Penn State University

An overview of fast solution techniques (such as multi-grid, two-grid, one-grid and nil-grid methods) will be given in this talk on solving large scale systems of equations that arise from the discretization of partial differential equations (such as Poisson, elasticity, Stokes, Navier-Stokes, Maxwell, MHD, and black-oil models). Mathematical optimality, practical applicability and parallel (CPU/GPU) scalability will be addressed for these algorithms and applications.

February 11, 2011

Complex Fluids
Prof. Peter Constantin
Department of Mathematics
University of Chicago

The talk will be about some of the models used to describe fluids with particulate matter suspended in them. Some of these models are very complicated. After a bit of history and a review of known results, I will try to point out some open problems, isolate some of the mathematical difficulties, and illustrate some of the phenomena on simpler didactic models.

Aziz Lectures 2010

November 12, 2010

Discontinuous Galerkin Finite Element Methods for High Order Nonlinear Partial Differential Equations
Prof. Chi-Wang Shu
Brown University

Discontinuous Galerkin (DG) finite element methods were first designed to solve hyperbolic conservation laws utilizing successful high resolution finite difference and finite volume schemes such as approximate Riemann solvers and nonlinear limiters. More recently the DG methods have been generalized to solve convection dominated convection-diffusion equations (e.g. high Reynolds number Navier-Stokes equations), convection-dispersion (e.g. KdV equations) and other high order nonlinear wave equations or diffusion equations. In this talk we will first give an introduction to the DG method, emphasizing several key ingredients which made the method popular, and then we will move on to introduce a class of DG methods for solving high order PDEs, termed local DG (LDG) methods. We will highlight the important ingredient of the design of LDG schemes, namely the adequate choice of numerical fluxes, and emphasize the stability of the fully nonlinear DG approximations. Numerical examples will be shown to demonstrate the performance of the DG methods.

March 5, 2010

A Taste of Compressed Sensing
Prof. Ronald DeVore
Texas A&M University

Compressed Sensing is a new paradigm in signal and image processing. It seeks to faithfully capture a signal/image with the fewest number of measurements. Rather than model a signal as a bandlimited function or an image as a pixel array, it models both of these as a sparse vector in some representation system. This model fits well real world signals and images. For example, images are well approximated by a sparse wavelet decomposition. Given this model, how should we design a sensor to capture the signal with the fewest number of measurements. We shall introduce ways of measuring the effectiveness of compressed sensing algorithms and then show which of these are optimal.

Aziz Lectures 2009

October 12, 2009

Isogeometric Analysis
Prof. Thomas J. R. Hughes
Institute for Computational Engineering and Sciences 
University of Texas at Austin

Geometry is the foundation of analysis yet modern methods of computational geometry have until recently had very little impact on computational mechanics. The reason may be that the Finite Element Analysis (FEA), as we know it today, was developed in the 1950's and 1960's, before the advent and widespread use of Computer Aided Design (CAD) programs, which occurred in the 1970's and 1980's. Many difficulties encountered with FEA emanate from its approximate, polynomial based geometry, such as, for example, mesh generation, mesh refinement, sliding contact, flows about aerodynamic shapes, buckling of thin shells, etc., and it s disconnect with CAD. It would seem that it is time to look at more powerful descriptions of geometry to provide a new basis for computational mechanics.

The purpose of this talk is to describe the new generation of computational mechanics procedures based on modern developments in computational geometry. The emphasis will be on Isogeometric Analysis in which basis functions generated from NURBS (Non-Uniform Rational B-Splines) and T-Splines are employed to construct an exact geometric model. For purposes of analysis, the basis is refined and/or its order elevated without changing the geometry or its parameterization. Analogues of finite element h- and p-refinement schemes are presented and a new, more efficient, higher-order concept, k-refinement, is described. Refinements are easily implemented and exact geometry is maintained at all levels without the necessity of subsequent communication with a CAD description.

In the context of structural mechanics, it is established that the basis functions are complete with respect to affine transformations, meaning that all rigid body motions and constant strain states are exactly represented. Standard patch tests are likewise satisfied. Numerical examples exhibit optimal rates of convergence for linear elasticity problems and convergence to thin elastic shell solutions. Extraordinary accuracy is noted for k-refinement in structural vibrations and wave propagation calculations. Surprising robustness is also noted in fluid and non-linear solid mechanics problems. It is argued that Isogeometric Analysis is a viable alternative to standard, polynomial-based, finite element analysis and possesses many advantages. In particular, k-refinement seems to offer a unique combination of attributes, that is, robustness and accuracy, not possessed by classical p-methods, and is applicable to models requiring smoother basis functions, such as, thin bending elements, and strain-gradient and various phase-field theories.

A modelling paradigm for patient-specific simulation of cardiovascular fluid-structure interaction is reviewed, and a précis of the status of current mathematical understanding is presented.

May 1, 2009

The Fast Multipole Method and its Applications
Leslie Greengard
Courant Institute of Mathematical Sciences, New York University

In this lecture, we will describe the analytic and computational foundations of fast multipole methods (FMMs), as well as some of their applications. They are most easily understood, perhaps, in the case of particle simulations, where they reduce the cost of computing all pairwise interactions in a system of N particles from O(N2) to O(N) or O(N log N) operations. FMMs are equally useful, however, in solving partial differential equations by first recasting them as integral equations. We will present examples from electromagnetics, elasticity, and fluid mechanics.

Aziz Lectures 2008

November 14, 2008

Topology optimization of structures
Prof. Gregoire Allaire
Ecole Polytechnique

The typical problem of structural optimization is to find the "best" structure which is, at the same time, of minimal weight and of maximum strength or which performs a desired deformation. In this context I will present the combination of the classical shape derivative and of the level-set methods for front propagation. This approach has been implemented in two and three space dimensions for models of linear or non-linear elasticity and for various objective functions and constraints on the perimeter. It has also been coupled with the bubble or topological gradient method which is designed for introducing new holes in the optimization process. Since the level set method is known to easily handle boundary propagation with topological changes, the resulting numerical algorithm is very efficient for topology optimization. It can escape from local minima in a given topological class of shapes and the resulting optimal design is largely independent of the initial guess.

March 28, 2008

New materials from mathematics: real and imagined
Prof. Richard D. James
University of Minnesota

In this talk I will give two examples where mathematics played an important role for the discovery of new materials, and a third example where mathematics suggests a systematic way of searching for broad classes of yet undiscovered materials.

Aziz Lectures 2007

Nov. 16, 2007

Adaptive Approximation by Greedy Algorithms
Prof. Albert Cohen
Laboratoire Jacques-Louis Lions, Université Pierre et Marie Curie, 
Paris, France

This talk will discuss computational algorithms that deal with the following general task: given a function f and a dictionary of functions D in a Hilbert space, extract a linear combination of N functions of D which approximates f at best. We shall review the convergence properties of existing algorithms. This work is motivated by applications as various as data compression, adaptive numerical simulation of PDE's, statistical learning theory.

May 4, 2007

Compressive Sampling
Prof. Emmanuel J. Candes
California Institute of Technology

One of the central tenets of signal processing is the Shannon/Nyquist sampling theory: the number of samples needed to reconstruct a signal without error is dictated by its bandwidth-the length of the shortest interval which contains the support of the spectrum of the signal under study. Very recently, an alternative sampling or sensing theory has emerged which goes against this conventional wisdom. This theory allows the faithful recovery of signals and images from what appear to be highly incomplete sets of data, i.e. from far fewer data bits than traditional methods use. Underlying this metholdology is a concrete protocol for sensing and compressing data simultaneously.

This talk will present the key mathematical ideas underlying this new sampling or sensing theory, and will survey some of the most important results. We will argue that this is a robust mathematical theory; not only is it possible to recover signals accurately from just an incomplete set of measurements, but it is also possible to do so when the measurements are unreliable and corrupted by noise. We will see that the reconstruction algorithms are very concrete, stable (in the sense that they degrade smoothly as the noise level increases) and practical; in fact, they only involve solving very simple convex optimization programs.

An interesting aspect of this theory is that it has bearings on some fields in the applied sciences and engineering such as statistics, information theory, coding theory, theoretical computer science, and others as well. If time allows, we will try to explain these connections via a few selected examples.

Aziz Lectures 2006

December 1, 2006

Imaging in random media
Prof. George C. Papanicolaou
Mathematics Department 
Stanford University

I will present an overview of some recently developed methods for imaging with array and distributed sensors when the environment between the objects to be imaged and the sensors is complex and only partially known to the imager. This brings in modeling and analysis in random media, and the need for statistical algorithms that increase the computational complexity of imaging, which is done by backpropagating local correlations rather than traces (interferometry). I will illustrate the theory with applications from non-destructive testing and from other areas.

April 21, 2006

String integration of some MHD equations
Prof. Yann Brenier
Laboratoire Alexandre Dieudonné 
Université de Nice-Sophia-Antipolis, France

We first review the link between strings and some Magnetohydrodynamics equations. Typical examples are the Born-Infeld system, the Chaplygin gas equations and the shallow water MHD model. They arise in Physics at very different (from subatomic to cosmologic) scales. These models can be exactly integrated in one space dimension by solving the 1D wave equation and using the d'Alembert formula. We show how an elementary "string integrator" can be used to solve these MHD equations through dimensional splitting. A good control of the energy conservation is needed due to the repeated use of Lagrangian to Eulerian grid projections. Numerical simulations in 1 and 2 dimensions will be shown.

February 3, 2006

Multiscale Analysis in Micromagnetics
Prof. Felix Otto
Institute for Applied Mathematics
University of Bonn, Germany

From the point of view of mathematics, micromagnetics is an ideal playground for a pattern forming system in m aterials science: There are abundant experiments on a wealth of visually attractive phenomena and there is a well-accepted continuum model.

In this talk, I will focus on two specific experimental pattern for thin film ferromagnetic elements. One pattern is a ground state, the other pattern is a metastable state. Starting point for our analysis is the micromagnetic model which has three length scales and thus many parameter regimes. For both pattern, we identify the appropriate paramater regime and rigorously derive a reduced model via G-convergence. We numerically simulate the reduced model and compare to experimental data.

This is joint work with A. DeSimone, R. V. Kohn, and S. Müller for the first part and with R. Cantero-Alvarez and J. Steiner for the second part.

Aziz Lectures 2005

December 9, 2005

Multiscale Modeling in Biosciences: Ion Transport through Membranes
Prof. Willi Jäger

Institute for Applied Mathematics
University of Heidelberg, Germany

Aziz Lectures 2004

November 19, 2004

Electromagnetic imaging for small inhomogeneities
Prof. Michael Vogelius
Department of Mathematics, Rutgers University

May 7, 2004

Mathematical models for cell motion
Prof. Benoît Perthame
École Normale Supérieure, Paris

Aziz Lectures 2003

November 14, 2003

Multiscale Modeling and Computation of Flow in Heterogeneous Media
Prof. Tom Hou
Caltech

March 7, 2003

Mathematical and Numerical Modeling of the Cardiovascular System
Prof. Alfio Quarteroni
Politecnico di Milano, Milan, Italy, and 
EPFL, Lausanne, Switzerland

Aziz Lectures 2002

Dec. 6, 2002

The regularity of minimizers in elasticity
Prof. John Ball
Department of Mathematics, Oxford

May 3, 2002

Multigrid: From Fourier to Gauss
Prof. Randolph E. Bank
Department of Mathematics, University of California at San Diego

Aziz Lectures 2001

Nov. 16, 2001

Mathematical Problems in Meteorology and Oceanography
Prof. Roger Temam
Institute for Scientific Computing and Applied Mathematics, Indiana University

April 23, 2001

Recent Approaches in the Treatment of Subgrid Scales
Prof. Franco Brezzi
Istituto di Analisi Numerica del CNR and Dipartimento di Matematica, Universita di Pavia, Italy

Aziz Lectures 2000

March 15, 2000

Time Stepping in Parabolic Problems - Approximation of Analytic Semigroups
Prof. Vidar Thomée
Dept. of Mathematics, Chalmers University of Technology and Göteborg University 

Aziz Lectures 1999

December 10, 1999

Colliding Black Holes and Gravity Waves: A New Computational Challenge
Prof. Douglas N. Arnold
Dept. of Mathematics, Pennsylvania State University

September 24, 1999

A Priori and A Posteriori Error Estimates in Finite Element Approximation
Prof. Lars B. Wahlbin
Dept. of Mathematics, Cornell University

February 19, 1999

Mathematical Problems Related to the Reliability of Finite Element Analysis in Practice: When Can We Trust the Computational Results for Engineering Decisions
Prof. Ivo Babuska
University of Texas, Austin, Emeritus Professor at University of Maryland

 

Avron Douglis (1918-1995) received an AB degree in economics from the University of Chicago in 1938. After working as an economist for three years and serving in World War II he began graduate studies in mathematics at New York University. He received his doctorate in 1949 under the direction of Richard Courant. He held a one-year post-doctoral appointment at the California Institute of Technology, and then returned to New York University as an assistant and then associate professor. In 1956 he accepted an appointment as associate professor at the University of Maryland, where he remained for the rest of his career, except for visiting appointments at the Universities of Minnesota, Oxford, and Newcastle upon Tyne. He was promoted to full professor in 1958 and became an emeritus in 1988.

Avron Douglis's research, noted for its depth, precision, and richness, covered the entire range of the theory of partial differential equations: linear and nonlinear; elliptic, parabolic, and hyperbolic. The famous papers he had written with S. Agmon and L. Nirenberg are among the most frequently cited in all of mathematics.

The Avron Douglis Library is housed in the department.

The Avron Douglis Lectures were established by the family and friends of Avron Douglis to honor his memory. Each academic year it brings to Maryland a distinguished expert to speak on a subject related to partial differential equations.


April 17, 2024 - Long Time Dynamics of Fluids and Plasmas

Peter Constantin
Princeton University

Fluids interacting with charged particles belong to many realms of scientific endeavor, ranging from electrochemistry and electrophysiology, to astrophysics and nuclear fusion engineering. I will discuss first the case of electrostatic interactions, relevant to electrochemistry and elctrophysiology. The models consist of Navier-Stokes equations for the fluid, coupled to equations describing the evolution of charge densities, with negligible magnetic effects. The resulting systems, Nernst-Planck-Navier-Stokes and electroconvection systems, have a rich dynamical behavior under non-equilibrium boundary conditions, but exhibit entropic relaxation under equilibrium boundary conditions. Mathematically, this relaxation is due to the presence of nontrivial dissipative structures. I will present some of the ideas of proofs of regularity and stability, some of the results about the existence of non-equilibrium states, and the problem of electroneutrality. I will then discuss strong magnetic fields and relaxation to magneto-hydrostatic (MHS) equilibria via viscous and non-dissipative mechanisms. This is a mathematical and potentially numerical approach to reach MHS configurations which are of interest to stellarator fusion design. I will present some of the challenges of this area. Finally, if time permits, I will also briefly discuss problems of relativistic plasma kinetics.

About the Speaker

Peter Constantin is the John von Neumann Professor of Mathematics and Applied and Computational Mathematics at Princeton University. Peter Constantin received his B.A and M.A. summa cum laude from the University of Bucharest, Faculty of Mathematics and Mechanics. He obtained his Ph.D.  from The Hebrew University of Jerusalem under the direction of Shmuel Agmon. Constantin's work is focused on the analysis of PDE and nonlocal models arising in statistical and nonlinear physics. Constantin worked on scattering for Schrodinger operators, on finite dimensional aspects of the dynamics of Navier-Stokes equations, on blow up for models of Euler equations. He introduced active scalars, and, with Jean-Claude Saut, local smoothing for general dispersive PDE. Constantin worked on singularity formation in fluid interfaces, on turbulence shell models, on upper bounds for turbulent transport, on the inviscid limit, on stochastic representation of Navier-Stokes equations, on the Onsager conjecture. He worked on critical nonlocal dissipative equations, on complex fluids, and on ionic diffusion in fluids. Constantin has advised thirteen graduate students in mathematics, and served in the committee of seven graduate students in physics. He mentored twenty-five postdoctoral associates. Constantin served as Chair of the Mathematics Department of the University of Chicago and is the Director of the Program in Applied and Computational Mathematics at Princeton University. Constantin is a Fellow of the Institute of Physics, a SIAM Fellow, and Inaugural Fellow of the American Mathematical Society, a Fellow of the American Academy of Arts and Sciences and a member of the National Academy of Sciences.

February 14, 2023 - Internal Waves in 2D Aquaria and Homeomorphisms of the Circle

Maciej Zworski
UC Berkeley

The connections between the formation of internal waves in fluids, spectral theory, and homeomorphisms of the circle were investigated by oceanographers in the 90s and resulted in novel experimental observations (Leo Maas et al, 1997). The specific homeomorphism is given by a ``chess billiard" and has been considered by many authors (Fritz John 1941, Vladimir Arnold 1957, Jim Ralston 1973... ). The relation between the nonlinear dynamics of this homeomorphism and linearized internal waves provides a striking example of classical/quantum correspondence (in a classical and surprising setting of fluids!). I will illustrate the results with numerical and experimental examples and explain how classical concepts such as rotation numbers of homeomorphisms (introduced by Henri Poincare) are related to solutions of the Poincare evolution problem (so named by Elie Cartan). The talk is based on joint work with Semyon Dyatlov and Jian Wang. I will also mention recent progress by Zhenhao Li on the case of irrational rotation numbers.

March 4, 2020 - Flows of Vector Fields: Classical and Modern

Camillo De Lellis
IAS, Princeton

Consider a (possibly time-dependent) vector field v on the Euclidean space. The classical Cauchy-Lipschitz (also named Picard-Lindelöf) Theorem states that, if the vector field v is Lipschitz in space, for every initial datum x there is a unique trajectory γ starting at x at time 0 and solving the ODE.(t) = v(t, γ(t). The theorem looses its validity as soon as v is slightly less regular. However, if we bundle all trajectories into a global map allowing x to vary, a celebrated theory put forward by DiPerna and Lions in the 80's show that there is a unique such flow under very reasonable conditions and for much less regular vector fields. A long-standing open question is whether this theory is the byproduct of a stronger classical result which ensures the uniqueness of trajectories for almost every initial datum. I will give a complete answer to the latter question and draw connections with partial differential equations, harmonic analysis, probability theory and Gromov’s h-principle.

December 8, 2017 - The Threshold Theorems for the Hyperbolic Yang-Mills Equations

Daniel Tataru
UC Berkeley

This talk will aim to provide an overview of a recent series of papers, joint with Sung-Jin Oh, devoted to the energy critical 4+1 dimensional hyperbolic Yang-Mills equation. These papers provide a comprehensive analysis of the large data problem, ultimately providing a proof of the Threshold Conjecture for Yang-Mills, and more. We will cover an array of ideas, ranging from gauge theory to hard core pde estimates to geometry and blow-up analysis.

November 2, 2016 - Effective Models for Ginzburg-Landau Vortices

Sylvia Serfaty
NYU

Ginzburg-Landau type equations are models for superconductivity, superfluidity, Bose-Einstein condensation. A crucial feature is the presence of quantized vortices, which are topological zeroes of the complex-valued solutions. This talk will review some results on the derivation of effective models to describe the statics and dynamics of these vortices, with particular attention to the situation where the number of vortices blows up with the parameters of the problem. In particular we will present new results on the derivation of mean field limits for the dynamics of many vortices starting from the parabolic Ginzburg-Landau equation or the Gross-Pitaevskii (=Schrodinger Ginzburg-Landau) equation.

March 31, 2016 - The h-principle in Fluid Mechanics

László Székelyhidi Jr.
Institute of Mathematics, University of Leipzig

It is known since the pioneering work of Scheffer and Shnirelman that weak solutions of the incompressible Euler equations exhibit a wild behaviour, which is very different from that of classical solutions. Nevertheless, weak solutions in three space dimensions have been studied in connection with a long-standing conjecture of Lars Onsager from 1949 concerning anomalous dissipation and, more generally, because of their possible relevance to the K41 theory of turbulence. In joint work with Camillo De Lellis we established a connection between the theory of weak solutions of the Euler equations and the Nash-Kuiper theorem on rough isometric immersions. Through this connection we interpret the wild behaviour of weak solutions of Euler as an instance of Gromov’s h-principle. In this lecture I will explain this connection and outline recent progress concerning Onsager’s conjecture.

April 9, 2015 - From molecular dynamics to kinetic theory and fluid mechanics

Laure Saint-Raymond
Harvard and MIT on leave from Ecole Normale Superieure

In his sixth problem, Hilbert asked for an axiomatization of gas dynamics, and he suggested to use the Boltzmann equation as an intermediate description between the (microscopic) atomic dynamics and (macroscopic) fluid models. The main difficulty to achieve this program is to prove the asymptotic decorrelation between the local microscopic interactions, referred to as propagation of chaos, on a time scale much larger than the mean free time. This is indeed the key property to observe some relaxation towards local thermodynamic equilibrium. This control of the collision process can be obtained in fluctuation regimes [1, 2]. In [2], we have established a long time convergence result to the linearized Boltzmann equation, and eventually derived the acoustic and incompressible Stokes equations in dimension 2. The proof relies crucially on symmetry arguments, combined with a suitable pruning procedure to discard super exponential collision trees.
Keywords: system of particles, low density, Boltzmann-Grad limit, kinetic equation, fluid models
[1] T. Bodineau, I. Gallagher, L. Saint-Raymond. The Brownian motion as the limit of a deterministic system of hard-spheres, to appear in Invent. Math. (2015).
[2] T. Bodineau, I. Gallagher, L. Saint-Raymond. From hard spheres to the linearized Boltzmann equation: an L2 analysis of the Boltzmann-Grad limit, in preparation.

April 17, 2014 - Regularity, blow up, and small scale creation in fluids

Alexander Kiselev
University of Wisconsin at Madison

The Euler equation of fluid mechanics describes a flow of inviscid and incompressible fluid, and has been first written in 1755. The equation is both nonlinear and nonlocal, and its solutions often create small scales easily and tend to be unstable. I will review some of the background, and then discuss a recent sharp result on small scale creation in solutions of the 2D Euler equation. I will also indicate links to the long open question of finite time blow up for solutions of the 3D Euler equation.

April 19, 2013 - Topology-Preserving Diffusion of Divergence-Free Vector Fields

Yann Brenier
École Polytechnique

The usual heat equation is not suitable to preserve the topology of divergence-free vector fields, because it destroys their integral line structure. On the contrary, in the fluid mechanics literature, one can find examples of topology-preserving diffusion equations for divergence-free vector fields. They are very degenerate since they admit all stationary solutions to the Euler equations of incompressible fluids as equilibrium points. For them, we provide a suitable concept of ”dissipative solutions”, which shares common features with both P.-L. Lions’ dissipative solutions to the Euler equations and the concept of ”curves of maximal slopes”, à la De Giorgi, recently used by Gigli and collaborators to study the scalar heat equation in very general metric spaces. We show that the initial value problem admits global "dissipative" solutions (at least for two space dimensions) and that they are unique whenever they are smooth.

February 8, 2012 - On the rigidity of black holes

Sergiu Klainerman
Princeton University

The rigidity conjecture states that all regular, stationary solutions of the Einstein field equations in vacuum are isometric to the Kerr solution. The simple motivation behind this conjecture is that one expects, due to gravitational radiation, that general, dynamic, solutions of the Einstein field equation settle down, asymptotically, into a stationary regime. A well known result of Carter, Robinson and Hawking has settled the conjecture in the class of real analytic spacetimes. The assumption of real analyticity is however very problematic; there is simply no physical or mathematical justification for it. During the last five years I have developed, in collaboration with A. Ionescu and S. Alaxakis, a strategy to dispense of it. In my lecture I will these results and concentrate on some recent results obtained in collaboration with A. Ionescu.

February 25, 2011 - Mathematical Strategies for Real Time Filtering of Turbulent Dynamical Systems

Andrew Majda
Courant Institute of Mathematical Sciences -- New York University

An important emerging scientific issue in many practical problems ranging from climate and weather prediction to biological science involves the real time filtering and prediction through partial observations of noisy turbulent signals for complex dynamical systems with many degrees of freedom as well as the statistical accuracy of various strategies to cope with the .curse of dimensions.. The speaker and his collaborators, Harlim (North Carolina State University), Gershgorin (CIMS Post doc), and Grote (University of Basel) have developed a systematic applied mathematics perspective on all of these issues. One part of these ideas blends classical stability analysis for PDE's and their finite difference approximations, suitable versions of Kalman filtering, and stochastic models from turbulence theory to deal with the large model errors in realistic systems. Many new mathematical phenomena occur. Another aspect involves the development of test suites of statistically exactly solvable models and new NEKF algorithms for filtering and prediction for slow-fast system, moist convection, and turbulent tracers. Here a stringent suite of test models for filtering and stochastic parameter estimation is developed based on NEKF algorithms in order to systematically correct both multiplicative and additive bias in an imperfect model. As briefly described in the talk, there are both significantly increased filtering and predictive skill through the NEKF stochastic parameter estimation algorithms provided that these are guided by mathematical theory. The recent paper by Majda et al (Discrete and Cont. Dyn. Systems, 2010, Vol. 2, 441-486) as well as a forthcoming introductory graduate text by Majda and Harlim (Cambridge U. Press) provide an overview of this research.

April 24, 2009 - The global behavior of solutions to critical nonlinear dispersive and wave equations

Carlos E. Kenig
University of Chicago

In this lecture we will describe a method (which I call the concentration-compactness/rigidity theorem method) which Frank Merle and I have developed to study global well-posedness and scattering for critical non-linear dispersive and wave equations. Such problems are natural extensions of non-linear elliptic problems which were studied earlier, for instance in the context of the Yamabe problem and of harmonic maps. We will illustrate the method with some concrete examples and also mention other applications of these ideas.

April 25, 2008 - Surface Waves and Images

Joseph B. Keller
Stanford University

March 30, 2007 - Steady Water Waves: Theory and Computation

Walter Strauss
Brown University

September 30, 2005 - A New Perspective on Motion by Curvature

Robert V. Kohn
Courant Institute of Mathematical Sciences, New York University

April 15, 2005 - Conservation Laws and Some Consequences

Cathleen Synge Morawetz
Courant Institute of Mathematical Sciences, New York University

March 5, 2004 - Hyperbolic Conservation Laws with Dissipation

Constantine Dafermos
Brown University, Division of Applied Mathematics

October 8, 2002 - Topology and Sobolev Spaces

Haim Brezis
Universite de Paris VI, Insitiut Universitaire de France, and Rutgers University

April 12, 2002 - Navier-Stokes and Other Super-critical Equations

Vladmir Sverak
University of Minnesota

April 20, 2001 - Shock Wave Theory

Tai-Ping Liu
Academia Sinica, Taiwan & Stanford University

March 31, 2000 - Effective Hamiltonians

Lawrence C. Evans
University of California, Berkeley

April 23, 1999 - Some remarks on homogenization

Luis Caffarelli
University of Texas, Austin

April 17, 1998 - An Example of Diffusion-Induced Blowup of a Parabolic System

Hans Weinberger
University of Minnesota

April 4, 1997 - The Zero Dispersion Limit

Peter Lax
Courant Institute

May 9, 1996 - Degree Theory Beyond Continuous Maps

Louis Nirenberg
Courant Institute

Archives: F2011-S2012 F2012-S2013 F2013-S2014 F2014-S2015 F2015-S2016 F2016-S2017 F2017-S2018 F2018-S2019 F2019-S2020 F2020-S2021 F2021-S2022 F2022-S2023 

  • Predictive Science and Deep Learning - A Bright Future or an Odd Couple?

    Speaker: Wolfgang Dahmen (Aachen, University of South Carolina) - https://sc.edu/study/colleges_schools/artsandsciences/mathematics/our_people/directory/dahmen_wolfgang.php

    When: Wed, September 20, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • The optimal paper Moebius band

    Speaker: Richard Schwartz (Brown University) - https://www.math.brown.edu/reschwar/

    When: Fri, September 29, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Riehl (TBA)

    Speaker: Emily Riehl (Johns Hopkins University) - https://math.jhu.edu/~eriehl/

    When: Fri, October 6, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Categorification and geometry

    Speaker: Lars Hesselholt (Nagoya University) - https://www.math.nagoya-u.ac.jp/~larsh/

    When: Fri, October 13, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Mathematics Around the Heisenberg Group

    Speaker: Roger Howe (Yale University) - https://www.norbertwiener.umd.edu/fft/2023/Speakers/Roger_Howe.html

    When: Thu, October 26, 2023 - 3:45pm
    Where: Kirwan Hall 3206
  • Decoding Time's Mysteries for Better Predictions

    Speaker: James Howard (Johns Hopkins University) - https://www.norbertwiener.umd.edu/fft/2023/Speakers/James_Howard.html

    When: Thu, October 26, 2023 - 6:45pm
    Where: Kirwan Hall 3206
  • A tale of two invariants

    Speaker: Paul Feehan (Rutgers) - https://sites.math.rutgers.edu/~feehan/

    When: Wed, November 15, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Using logic to study homeomorphism groups

    Speaker: Thomas Koberda (University of Virginia) - https://sites.google.com/view/koberdat

    When: Wed, November 29, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Generative Models for Implicit Distribution Estimation: a Statistical Perspective

    Speaker: Yun Yang (University of Illinois Urbana-Champaign) - https://sites.google.com/site/yunyangstat/

    When: Thu, January 25, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Video Imputation and Prediction Methods with Applications in Space Weather

    Speaker: Yang Chen (University of Michigan) - https://yangchenfunstatistics.github.io/yangchen.github.io/

    When: Tue, January 30, 2024 - 4:00pm
    Where: Kirwan Hall 3206
  • Arboreal Galois groups: an introduction

    Speaker: Robert Benedetto (Amherst College) - https://rlbenedetto.people.amherst.edu/

    When: Wed, February 7, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • Higher theta series

    Speaker: Zhiwei Yun (MIT) - https://math.mit.edu/~zyun/

    When: Wed, February 28, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • Random lattices and their applications in number theory, geometry and statistical mechanics

    Speaker: Jens Marklof (School of Mathematics, University of Bristol) - https://www.bristol.ac.uk/people/person/Jens-Marklof-6eb63e14-a018-4833-9cf8-b95272b5a09e/

    When: Fri, March 1, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • TBA

    Speaker: Svetlana Jitomirskaya (University of California, Berkeley) - https://math.berkeley.edu/people/faculty/svetlana-jitomirskaya

    When: Thu, March 14, 2024 - 3:00pm
    Where: Kirwan Hall 3206
  • Instantaneous everywhere-blowup of parabolic stochastic PDEs

    Speaker: Davar Khoshnevisan (University of Utah) - http://www.math.utah.edu/~davar/

    When: Wed, April 3, 2024 - 3:15pm
    Where: Kirwan Hall 3206