Euler-Maruyama approximations of the stochastic heat equation on the sphere

Fuente: arXiv
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Autori principali: Lang, Annika, Motschan-Armen, Ioanna
Natura: Preprint
Pubblicazione: 2023
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author Lang, Annika
Motschan-Armen, Ioanna
author_facet Lang, Annika
Motschan-Armen, Ioanna
contents The stochastic heat equation on the sphere driven by additive isotropic Wiener noise is approximated by a spectral method in space and forward and backward Euler-Maruyama schemes in time. The spectral approximation is based on a truncation of the series expansion with respect to the spherical harmonic functions. Optimal strong convergence rates for a given regularity of the initial condition and driving noise are derived for the Euler-Maruyama methods. Besides strong convergence, convergence of the expectation and second moment is shown, where the approximation of the second moment converges with twice the strong rate. Numerical simulations confirm the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2307_07564
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Euler-Maruyama approximations of the stochastic heat equation on the sphere
Lang, Annika
Motschan-Armen, Ioanna
Numerical Analysis
Probability
60H35, 65C30, 60H15, 35R60, 33C55, 65M70
The stochastic heat equation on the sphere driven by additive isotropic Wiener noise is approximated by a spectral method in space and forward and backward Euler-Maruyama schemes in time. The spectral approximation is based on a truncation of the series expansion with respect to the spherical harmonic functions. Optimal strong convergence rates for a given regularity of the initial condition and driving noise are derived for the Euler-Maruyama methods. Besides strong convergence, convergence of the expectation and second moment is shown, where the approximation of the second moment converges with twice the strong rate. Numerical simulations confirm the theoretical results.
title Euler-Maruyama approximations of the stochastic heat equation on the sphere
topic Numerical Analysis
Probability
60H35, 65C30, 60H15, 35R60, 33C55, 65M70
url https://arxiv.org/abs/2307.07564