activity
19992024
most citedSpectral gaps in Wasserstein distances and the 2D stochastic Navier--Stokes equations

211 citations · 904 across the 51 of their papers we have counts for

collaborators

60 papers

math.PR2024

Phase space contraction of degenerately damped random splittings

David P. Herzog, Jonathan C. Mattingly

When studying out-of-equilibrium systems, one often excites the dynamics in some degrees of freedom while removing the excitation in others through damping. In order for the system…

physics.soc-ph2024

Multiscale Parallel Tempering for Fast Sampling on Redistricting Plans

Gabriel Chuang, Gregory Herschlag, Jonathan C. Mattingly

When auditing a redistricting plan, a persuasive method is to compare the plan with an ensemble of neutrally drawn redistricting plans. Ensembles are generated via algorithms that…

math.AP2023★ 1 cited

Optimal enhanced dissipation and mixing for a time-periodic, Lipschitz velocity field on

Tarek M. Elgindi, Kyle Liss, Jonathan C. Mattingly

We consider the advection-diffusion equation on with a Lipschitz and time-periodic velocity field that alternates between two piecewise linear shear flows. We prove…

math.DS2022★ 1 cited

Random Splitting of Fluid Models: Positive Lyapunov Exponents

Andrea Agazzi, Jonathan C. Mattingly, Omar Melikechi

In this paper we give sufficient conditions for random splitting systems to have a positive top Lyapunov exponent. We verify these conditions for random splittings of two fluid mod…

math.PR2022★ 4 cited

Random Splitting of Fluid Models: Ergodicity and Convergence

Andrea Agazzi, Jonathan C. Mattingly, Omar Melikechi

We introduce a family of stochastic models motivated by the study of nonequilibrium steady states of fluid equations. These models decompose the deterministic dynamics of interest…

math.PR2021★ 1 cited

Gibbsian dynamics and the generalized Langevin equation

David P. Herzog, Jonathan C. Mattingly, Hung D. Nguyen

We study the statistically invariant structures of the nonlinear generalized Langevin equation (GLE) with a power-law memory kernel. For a broad class of memory kernels, including…