Uniform error estimate of an asymptotic preserving scheme for the Lévy-Fokker-Planck equation

08/25/2022
by   Weiran Sun, et al.
0

We establish a uniform-in-scaling error estimate for the asymptotic preserving scheme proposed in <cit.> for the Lévy-Fokker-Planck (LFP) equation. The main difficulties stem from not only the interplay between the scaling and numerical parameters but also the slow decay of the tail of the equilibrium state. We tackle these problems by separating the parameter domain according to the relative size of the scaling ϵ: in the regime where ϵ is large, we design a weighted norm to mitigate the issue caused by the fat tail, while in the regime where ϵ is small, we prove a strong convergence of LFP towards its fractional diffusion limit with an explicit convergence rate. This method extends the traditional AP estimates to cases where uniform bounds are unavailable. Our result applies to any dimension and to the whole span of the fractional power.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/16/2021

An asymptotic preserving scheme for Lévy-Fokker-Planck equation with fractional diffusion limit

In this paper, we develop a numerical method for the Lévy-Fokker-Planck ...
research
04/29/2021

Asymptotic preserving schemes for SDEs driven by fractional Brownian motion in the averaging regime

We design numerical schemes for a class of slow-fast systems of stochast...
research
10/05/2022

On a discrete framework of hypocoercivity for kinetic equations

We propose and study a fully discrete finite volume scheme for the Vlaso...
research
03/20/2022

Uniform weak error estimates for an asymptotic preserving scheme applied to a class of slow-fast parabolic semilinear SPDEs

We study an asymptotic preserving scheme for the temporal discretization...
research
11/13/2019

Kriging prediction with isotropic Matérn correlations: robustness and experimental design

We investigate the prediction performance of the kriging predictors. We ...

Please sign up or login with your details

Forgot password? Click here to reset