3 papers
math.NA2021
An efficient jet marcher for computing the quasipotential for 2D SDEs
Nicholas Paskal, Maria Cameron
We present a new algorithm, the efficient jet marching method (EJM), for computing the quasipotential and its gradient for two-dimensional SDEs. The quasipotential is a potential-l…
math.PR2020
Large deviations principle for the invariant measures of the 2D stochastic Navier-Stokes equations with vanishing noise correlation
Sandra Cerrai, Nicholas Paskal
We study the two-dimensional incompressible Navier-Stokes equation on the torus, driven by Gaussian noise that is white in time and colored in space. We consider the case where the…
math.PR2018
Large deviations for fast transport stochastic RDEs with applications to the exit problem
Sandra Cerrai, Nicholas Paskal
We study reaction diffusion equations with a deterministic reaction term as well as two random reaction terms, one that acts on the interior of the domain, and another that acts on…