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Split-step theta method for stochastic delay integro-differential equations with mean square exponential stability
- Source :
- Applied Mathematics and Computation. 353:320-328
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- In this paper, we propose the split-step theta method for stochastic delay integro-differential equations by the Lagrange interpolation technique and investigate the mean square exponential stability of the proposed scheme. It is shown that the split-step theta method can inherit the mean square exponential stability of the continuous model under the linear growth condition and the proposed stability condition by the delayed differential and difference inequalities established in the paper. A numerical example is given at the end of the paper to illustrate the method and conclusion of the paper. In addition, the convergence of the split-step theta method is proved in the Appendix.
- Subjects :
- 0209 industrial biotechnology
Differential equation
Continuous modelling
Applied Mathematics
Lagrange polynomial
020206 networking & telecommunications
02 engineering and technology
Stability (probability)
Computational Mathematics
Stochastic differential equation
symbols.namesake
020901 industrial engineering & automation
Exponential stability
Convergence (routing)
0202 electrical engineering, electronic engineering, information engineering
symbols
Applied mathematics
Differential (infinitesimal)
Mathematics
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 353
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi...........26556cbb8344c32bcd0a2f03e3cfbaac