Exponential Euler method for stiff stochastic differential equations with additive fractional Brownian noise

Fuente: arXiv
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Auteurs principaux: Kamrani, Minoo, Debrabant, Kristian, Jamshidi, Nahid
Format: Preprint
Publié: 2023
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author Kamrani, Minoo
Debrabant, Kristian
Jamshidi, Nahid
author_facet Kamrani, Minoo
Debrabant, Kristian
Jamshidi, Nahid
contents We discuss a system of stochastic differential equations with a stiff linear term and additive noise driven by fractional Brownian motions (fBms) with Hurst parameter H>1/2, which arise e. g., from spatial approximations of stochastic partial differential equations. For their numerical approximation, we present an exponential Euler scheme and show that it converges in the strong sense with an exact rate close to the Hurst parameter H. Further, based on (E. Buckwar, M.G. Riedler, and P.E. Kloeden 2011), we conclude the existence of a unique stationary solution of the exponential Euler scheme that is pathwise asymptotically stable.
format Preprint
id arxiv_https___arxiv_org_abs_2308_13224
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Exponential Euler method for stiff stochastic differential equations with additive fractional Brownian noise
Kamrani, Minoo
Debrabant, Kristian
Jamshidi, Nahid
Probability
Numerical Analysis
We discuss a system of stochastic differential equations with a stiff linear term and additive noise driven by fractional Brownian motions (fBms) with Hurst parameter H>1/2, which arise e. g., from spatial approximations of stochastic partial differential equations. For their numerical approximation, we present an exponential Euler scheme and show that it converges in the strong sense with an exact rate close to the Hurst parameter H. Further, based on (E. Buckwar, M.G. Riedler, and P.E. Kloeden 2011), we conclude the existence of a unique stationary solution of the exponential Euler scheme that is pathwise asymptotically stable.
title Exponential Euler method for stiff stochastic differential equations with additive fractional Brownian noise
topic Probability
Numerical Analysis
url https://arxiv.org/abs/2308.13224