The Stochastic Θ -Method for Nonlinear Stochastic Volterra Integro-Differential Equations

Joint Authors

Hu, Peng
Huang, Chengming

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-27

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Mathematics

Abstract EN

The stochastic Θ -method is extended to solve nonlinear stochastic Volterra integro-differential equations.

The mean-square convergence and asymptotic stability of the method are studied.

First, we prove that the stochastic Θ -method is convergent of order 1 / 2 in mean-square sense for such equations.

Then, a sufficient condition for mean-square exponential stability of the true solution is given.

Under this condition, it is shown that the stochastic Θ -method is mean-square asymptotically stable for every stepsize if 1 / 2 ≤ θ ≤ 1 and when 0 ≤ θ < 1 / 2 , the stochastic Θ -method is mean-square asymptotically stable for some small stepsizes.

Finally, we validate our conclusions by numerical experiments.

American Psychological Association (APA)

Hu, Peng& Huang, Chengming. 2014. The Stochastic Θ -Method for Nonlinear Stochastic Volterra Integro-Differential Equations. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1014266

Modern Language Association (MLA)

Hu, Peng& Huang, Chengming. The Stochastic Θ -Method for Nonlinear Stochastic Volterra Integro-Differential Equations. Abstract and Applied Analysis No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1014266

American Medical Association (AMA)

Hu, Peng& Huang, Chengming. The Stochastic Θ -Method for Nonlinear Stochastic Volterra Integro-Differential Equations. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1014266

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1014266