Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments

Joint Authors

Zhang, Ling
Song, Minghui

Source

Abstract and Applied Analysis

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-05

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Mathematics

Abstract EN

The main purpose of this paper is to investigate the strong convergence of the Euler method to stochastic differential equations with piecewise continuous arguments (SEPCAs).

Firstly, it is proved that the Euler approximation solution converges to the analytic solution under local Lipschitz condition and the bounded pth moment condition.

Secondly, the Euler approximation solution converge to the analytic solution is given under local Lipschitz condition and the linear growth condition.

Then an example is provided to show which is satisfied with the monotone condition without the linear growth condition.

Finally, the convergence of numerical solutions to SEPCAs under local Lipschitz condition and the monotone condition is established.

American Psychological Association (APA)

Zhang, Ling& Song, Minghui. 2012. Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-487710

Modern Language Association (MLA)

Zhang, Ling& Song, Minghui. Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments. Abstract and Applied Analysis No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-487710

American Medical Association (AMA)

Zhang, Ling& Song, Minghui. Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-487710

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-487710