Duke Probability Seminar

A seminar for the probability community at Duke, both in and outside of the Mathematics Department.

More information on the Duke Probability community can be found on the Probability: Theory and Applications Page

• Thursday, January 24, 2019, 3:15pm, 119 Physics, Probability Seminar
  Chaotic regimes for random dynamical systems
  Alex Blumenthal (University of Maryland, Mathematics)

   

  It is anticipated that chaotic regimes (e.g., strange attractors) arise in a wide variety of dynamical systems, including those arising from the study of ensembles of gas particles and fluid mechanics. However, in most cases the problem of rigorously verifying asymptotic chaotic regimes is notoriously difficult. For volume-preserving systems (e.g., incompressible fluid flow or Hamiltonian systems), these issues are exemplified by coexistence phenomena: even in quite simple models which should be chaotic, e.g. the Chirikov standard map, completely opposite dynamical regimes (elliptic islands vs. hyperbolic sets) can be tangled together in phase space in a convoluted way. Recent developments have indicated, however, that verifying chaos is tractable for systems subjected to a small amount of noise— from the perspective of modeling, this is not so unnatural, as the real world is inherently noisy. In this talk, I will discuss two recent results: (1) a large positive Lyapunov exponent for (extremely small) random perturbations of the Chirikov standard map, and (2) a positive Lyapunov exponent for the Lagrangian flow corresponding to various incompressible stochastic fluids models, including stochastic 2D Navier-Stokes and 3D hyperviscous Navier-Stokes on the periodic box. The work in this talk is joint with Jacob Bedrossian, Samuel Punshon-Smith, Jinxin Xue and Lai-Sang Young.

• Monday, January 28, 2019, 12:00pm, 119 Physics, Probability Seminar
  TBA
  Jim Nolen

• Thursday, March 28, 2019, 3:15pm, 119 Physics, Probability Seminar
  TBA
  Kavita Ramanan (Brown)