Skip to main content
Browse by:

Until further notice, in-person public events have been canceled. This includes recruitment events, tours, student programs, reunions, performances, conferences and social events.
Event listings include how to access online content. Contact event sponsor with questions.
Please note that all visitors to campus must comply with Duke’s community safety measures, which include wearing a mask,
check before coming to campus, and follow direction provided by campus personnel.

Stochastic Dynamics in Spatially Extended Magnetic Systems

Applied Math Seminar
Icon calendar
Tuesday, January 14, 2020
Icon time
3:15 pm - 4:15 pm
Icon speaker
Katie Newhall (UNC Chapel Hill)
Icon series
Applied Math And Analysis Seminar

Models for spatially extended magnetic systems are typically N nearest-neighbor coupled unit vectors that evolve stochastically in time due to unresolved thermal effects, and sample the Gibbs distribution defined by a Hamiltonian quantifying this nearest-neighbor interaction and effects of an external field. Interesting questions arise as the number of vectors goes to infinity while scaling other parameters that effect the temperature and damping in the system. I will present a scaling limit allowing the dynamics of a Metropolis Hastings Algorithm to converge to a deterministic PDE. By adding correlated (colored) noise to the M-H proposal step, the simple accept/reject step no longer samples the Gibbs distribution due to the interaction of the noise and geometry in the problem. However, a limiting Stochastic PDE, that is non-local in its deterministic part, does sample the Gibbs distribution for a specific choice of projecting the noise into the tangent planes of the spin vectors.