2016
DOI: 10.2298/fil1607019k
|View full text |Cite
|
Sign up to set email alerts
|

Carathéodory’s approximate solution to stochastic differential delay equation

Abstract: The main aim of this paper is to discuss Carathéodory's and Euler-Maruyama's approximate solutions to stochastic differential delay equation. To make the theory more understandable, we impose the non-uniform Lipschitz condition and non-linear growth condition.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…Furthermore, equations from this class have unique solutions with bounded moments and their coefficients satisfy polynomial conditions. [4] considered the stochastic differential equation and defined the Caratheodory's approximate solution of stochastic differential delay equation.…”
Section: Related Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, equations from this class have unique solutions with bounded moments and their coefficients satisfy polynomial conditions. [4] considered the stochastic differential equation and defined the Caratheodory's approximate solution of stochastic differential delay equation.…”
Section: Related Literaturementioning
confidence: 99%
“…To make the theory more understandable, we impose the non-uniform Lipschitz condition and non-linear growth condition. The Euler method discretisation has an optimal strong convergence rate and [5] established Caratheodory's and Euler approximate solutions to stochastic differential delay equation.…”
Section: Related Literaturementioning
confidence: 99%
“…By using the nonlinear growth condition and nonlinear growth condition, in 2015, Kim [4] studied the difference between the approximate solution and the accurate solution to the stochastic differential delay equation (shortly, SDEs).…”
Section: Introductionmentioning
confidence: 99%