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Abstract
Guo et al. [GMY17] are the first to study the strong convergence of the explicit numerical method for the highly nonlinear stochastic differential delay equations(SDDEs) under the generalised Khasminskii-type condition. The method used there is the truncated Euler–Maruyama (EM) method. In this paper we will point out that a main condition imposed in [GMY17] is somehow restrictive in the sense that the condition could force the step size to be so small that the truncated EM method would be inapplicable. The key aim of this paper is then to establish the convergence rate without this restriction.
Original language | English |
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Pages (from-to) | 2081-2100 |
Number of pages | 20 |
Journal | Communications on Pure and Applied Analysis |
Volume | 19 |
Issue number | 4 |
DOIs | |
Publication status | Published - 30 Apr 2020 |
Keywords
- Brownian motion
- stochastic differential delay equation
- truncated Euler-Maruyama
- Khasminskii-type condition
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Dive into the research topics of 'Advances in the truncated Euler-Maruyama method for stochastic differential delay equations'. Together they form a unique fingerprint.Projects
- 2 Finished
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Ergodicity and invariant measures of stochastic delay systems driven by various noises and their applications (Prof. Fuke Wu)
Mao, X. (Principal Investigator)
16/03/17 → 15/06/20
Project: Research Fellowship
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Long-time dynamics of numerical solutions of stochastic differential equations
Mao, X. (Principal Investigator)
1/10/16 → 30/09/21
Project: Research