Euler Approximation for Non-Autonomous Mixed Stochastic Differential Equations in Besov Norm

Euler Approximation for Non-Autonomous Mixed Stochastic Differential Equations in Besov Norm

Year:    2020

Author:    Sihui Yu, Weiguo Liu

Annals of Applied Mathematics, Vol. 36 (2020), Iss. 4 : pp. 426–441

Abstract

We consider a kind of non-autonomous mixed stochastic differential equations driven by standard Brownian motions and fractional Brownian motions with Hurst index $H ∈ (1/2, 1)$. In the sense of stochastic Besov norm with index $γ$, we prove that the rate of convergence for Euler approximation is $O(δ^{2H−2γ})$, here $δ$ is the mesh of the partition of $[0, T]$.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2020-AAM-18591

Annals of Applied Mathematics, Vol. 36 (2020), Iss. 4 : pp. 426–441

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    Brownian motion fractional Brownian motion Euler approximation rate of convergence Besov norm.

Author Details

Sihui Yu

Weiguo Liu