On approximation of solutions of stochastic delay differential equations via randomized Euler scheme

被引:2
|
作者
Przybylowicz, Pawel [1 ]
Wu, Yue [2 ]
Xie, Xinheng [2 ]
机构
[1] AGH Univ Krakow, Fac Appl Math, Al A Mickiewicza 30, PL-30059 Krakow, Poland
[2] Univ Strathclyde, Dept Math & Stat, Glasgow City, Scotland
关键词
Stochastic differential equations; Constant delay; Randomized Euler scheme; Wiener process; Caratheodory-type conditions; COMPLEXITY; SDES;
D O I
10.1016/j.apnum.2023.11.008
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate existence, uniqueness and approximation of solutions to stochastic delay differential equations (SDDEs) under Caratheodory-type drift coefficients. Moreover, we also assume that both drift f = f (t, x, z) and diffusion g = g(t, x, z) coefficient are Lipschitz continuous with respect to the space variable x, but only Holder continuous with respect to the delay variable z. We provide a construction of randomized Euler scheme for approximation of solutions of Caratheodory SDDEs, and investigate its upper error bound. Finally, we report results of numerical experiments that confirm our theoretical findings.
引用
收藏
页码:143 / 163
页数:21
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