Mathematical Societies

 

The American Mathematical Society (AMS)

 

The AMS Combined Membership List: online directory of mathematicians
The AMS Math-Sci NetMath Reviews on line. Available only from math department computers. From home, access this through the eLibrary.
Guide for electronic submissions to Math Reviews
Calendar of mathematics meetings all over the world

 

Society for Industrial and Applied Mathematics (SIAM)
Mathematical Association of America (MAA)
Institute of Mathematical Statistics (IMS)

 

Major Canadian and European Societies:
Canadian Mathematical Society (CMS)
Deutsche Mathematiker-Vereinigung (DMV)
European Mathematical Society (EMS)
Institute of Mathematics and its Applications (IMA)
London Mathematical Society (LMS)
Royal Statistical Society (RSS)
Société de Mathématiques Appliquées & Industrielles (SMAI)
Société Mathématique de France (SMF)

 

Other Organizations

 

National Science Foundation (NSF)

 

Fastlane (streamlined access to important NSF information, proposal submission and review, grant management)
Division of Mathematics and Physical Sciences
Grants and Awards, including the Grant Proposal Guide

 

American Association for the Advancement of Science (AAAS)
Association for Women in Mathematics (AWM)
National Academy of Sciences (NAS)
International Mathematical Union (IMU), sponsor of the
International Congress of Mathematicians in Berlin, summer 1998.
International Congress of Mathematicians in Beijing, summer 2002.
Society for Mathematical Biology
International Association of Mathematical Physics
Association des Collaborateurs de Nicolas Bourbaki
Mathematical Sciences Education Board
National Council of Teachers of Mathematics
Clay Mathematics Institute

 

Institutes and Centers

 

Centre International de Recontres Mathématiques (CIRM, Montreal)
Fields Institute (Toronto)
Geometry Center (Minnesota)
Institute for Advanced Study (IAS, Princeton)
Mathematical Sciences Research Institute (MSRI, Berkeley)
Institute for Mathematics and its Applications (IMA, Minneapolis)
Oberwolfach Mathematical Institute (Germany)
Insitute for Pure and Applied Mathematics (IPAM, UCLA, Los Angeles)
Pacific Institute for the Mathematical Sciences (PIMS, Canada-US)

 

Miscellaneous

 

Other information resources:
Mathematical Archives at the University of Tennessee, Knoxville
Penn State's directory of world mathematics departments
Waubonsee's list of (almost) all US departments of math, physics, and engineering
Texas A&M's list of mathematical links

Archives: 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018

  • Liquid drops on Rough surfaces

    Speaker: Inwon Kim (UCLA) -

    When: Thu, September 14, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Data-based stochastic model reduction for chaotic systems

    Speaker: Fei Lu (John Hopkins University) - http://www.math.jhu.edu/~feilu/

    When: Thu, October 12, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: The need to develop reduced nonlinear statistical-dynamical models from time series of partial observations of complex systems arises in many applications such as geophysics, biology and engineering. The challenges come mainly from memory effects due to the nonlinear interactions between resolved and unresolved scales, and from the difficulty in inference from discrete data.

    We address these challenges by introducing a discrete-time stochastic parametrization framework, in which we infer nonlinear autoregression moving average (NARMA) type models to take the memory effects into account. We show by examples that the NARMA type stochastic reduced models that can capture the key statistical and dynamical properties, and therefore can improve the performance of ensemble prediction in data assimilation. The examples include the Lorenz 96 system (which is a simplified model of the atmosphere) and the Kuramoto-Sivashinsky equation of spatiotemporally chaotic dynamics.

  • A free boundary problem with facets

    Speaker: Will Feldman (University of Chicago) -

    When: Thu, October 19, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: I will discuss a variational problem on the lattice analogous to the Alt-Caffarelli problem. The scaling limit is a free boundary problem for the Laplacian with a discontinuous constraint on the normal derivative at the boundary. The discontinuities cause the formation of facets in the free boundary. The problem is related to models for contact angle hysteresis of liquid drops studied by Caffarelli-Lee and Caffarelli-Mellet.
  • Probabilistic scattering for the 4D energy-critical defocusing nonlinear wave equation

    Speaker: Jonas Luehrmann (Johns Hopkins University) - http://www.math.jhu.edu/~luehrmann/

    When: Thu, October 26, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: We consider the Cauchy problem for the energy-critical defocusing nonlinear wave equation on R^4. It is known that for initial data at energy regularity, the solutions exist globally in time and scatter to free waves. However, the problem is ill-posed for initial data at super-critical regularity, i.e. for regularities below the energy regularity. In this talk we study the super-critical data regime for this Cauchy problem from a probabilistic point of view, using a randomization procedure that is based on a unit-scale decomposition of frequency space. We will present an almost sure global existence and scattering result for randomized radially symmetric initial data of super-critical regularity. The main novelties of our proof are the introduction of an approximate Morawetz estimate to the random data setting and new large deviation estimates for the free wave evolution of randomized radially symmetric data.
    This is joint work with Ben Dodson and Dana Mendelson.

  • On L^p approximations of Landau equation solutions in the Coulomb case

    Speaker: Sona Akopian (Brown University) - https://www.brown.edu/academics/applied-mathematics/sona-akopian

    When: Thu, November 2, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: We examine a class of Boltzmann equations with an abstract collision kernel in the form of a singular mass concentrated at very low collision angles and relative velocities between interacting particles. Similarly to the classical Boltzmann operator, this particular collision operator also converges to the collision term in the Landau equation as the characterizing parameter \epsilon tends to zero. We will address the existence of L^p solutions to this family of Boltzmann equations and discuss their approximations of solutions to the Landau equation as \epsilon vanishes.
  • Degenerate disperisve equations and compactons

    Speaker: Benjamin Harrop-Griffiths (New York University ) - https://math.nyu.edu/~griffiths/

    When: Thu, November 9, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: We consider a family of Hamiltonian toy models for degenerate dispersion that admit compactly supported solitons or “compactons”. We discuss their variational properties and stability. This is joint work with Pierre Germain and Jeremy Marzuola.
  • Data-based stochastic model reduction for chaotic systems

    Speaker: Fei Lu (John Hopkins University) - http://www.math.jhu.edu/~feilu/

    When: Thu, November 30, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: The need to develop reduced nonlinear statistical-dynamical models from time series of partial observations of complex systems arises in many applications such as geophysics, biology and engineering. The challenges come mainly from memory effects due to the nonlinear interactions between resolved and unresolved scales, and from the difficulty in inference from discrete data.

    We address these challenges by introducing a discrete-time stochastic parametrization framework, in which we infer nonlinear autoregression moving average (NARMA) type models to take the memory effects into account. We show by examples that the NARMA type stochastic reduced models that can capture the key statistical and dynamical properties, and therefore can improve the performance of ensemble prediction in data assimilation. The examples include the Lorenz 96 system (which is a simplified model of the atmosphere) and the Kuramoto-Sivashinsky equation of spatiotemporally chaotic dynamics.

  • Global strong solution with latent singularity: application of gradient flow theory to thin film equations in epitaxial growth

    Speaker: Yuan Gao (Hong Kong University of Science and Technology) -

    When: Thu, December 7, 2017 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: We consider a class of step flow models from mesoscopic view and their continuum limit to 4th order degenerate parabolic equations. Using the regularized method we obtain a global weak solution to the slope equation, which is sign-preserved almost everywhere. However, in order to study the global strong solution with latent singularity, which occurs whenever the solution approaches zero, we formulate the problem as the gradient flow of a suitably-defined convex functional in a non-reflexive Banach space and establish a framework to handle a class of degenerate parabolic equations, including exponential model for epitaxial growth, described by gradient flow in metric space.
  • Elasticity and curvature: the elastic energy of non-Euclidean thin bodies

    Speaker: Cy Maor (University of Toronto) - http://www.math.toronto.edu/cmaor/

    When: Thu, January 25, 2018 - 3:30pm
    Where: Kirwan Hall 3206

    View Abstract

    Abstract: Non-Euclidean, or incompatible elasticity is an elastic theory for bodies that do not have a reference, stress-free configuration. It applies to many systems, in which the elastic body undergoes inhomogeneous growth (e.g. plants, self-assembled molecules). Mathematically, it is a geometric calculus of variations question of finding the "most isometric" immersion of a Riemannian manifold (M,g) into Euclidean space of the same dimension.
    Much of the research in non-Euclidean elasticity is concerned with elastic bodies that have one or more slender dimensions (such as leaves), and finding appropriate dimensionally-reduced models for them.
    In this talk I will give an introduction to non-Euclidean elasticity, and then focus on thin bodies and present some recent results on the relations between their elastic behavior and their curvature.
    Based on joint work with Asaf Shachar.