Stability and convergence of the Euler scheme for stochastic linear evolution equations in Banach spaces

Fuente: arXiv
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Autori principali: Li, Binjie, Xie, Xiaoping
Natura: Preprint
Pubblicazione: 2022
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author Li, Binjie
Xie, Xiaoping
author_facet Li, Binjie
Xie, Xiaoping
contents For the Euler scheme of the stochastic linear evolution equations, discrete stochastic maximal $ L^p $-regularity estimate is established, and a sharp error estimate in the norm $ \|\cdot\|_{L^p((0,T)\timesΩ;L^q(\mathcal O))} $, $ p,q \in [2,\infty) $, is derived via a duality argument.
format Preprint
id arxiv_https___arxiv_org_abs_2211_08375
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Stability and convergence of the Euler scheme for stochastic linear evolution equations in Banach spaces
Li, Binjie
Xie, Xiaoping
Numerical Analysis
Probability
60H35, 35R60, 60H15 60H35, 35R60, 60H15
For the Euler scheme of the stochastic linear evolution equations, discrete stochastic maximal $ L^p $-regularity estimate is established, and a sharp error estimate in the norm $ \|\cdot\|_{L^p((0,T)\timesΩ;L^q(\mathcal O))} $, $ p,q \in [2,\infty) $, is derived via a duality argument.
title Stability and convergence of the Euler scheme for stochastic linear evolution equations in Banach spaces
topic Numerical Analysis
Probability
60H35, 35R60, 60H15 60H35, 35R60, 60H15
url https://arxiv.org/abs/2211.08375