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Application of Bernoulli wavelet method for estimating a solution of linear stochastic Itô-Volterra integral equations

Farshid Mirzaee (Faculty of Mathematical Sciences and Statistics, University of Malayer, Malayer, Islamic Republic of Iran)
Nasrin Samadyar (Faculty of Mathematical Sciences and Statistics, University of Malayer, Malayer, Islamic Republic of Iran)

Multidiscipline Modeling in Materials and Structures

ISSN: 1573-6105

Article publication date: 19 December 2018

Issue publication date: 18 April 2019

136

Abstract

Purpose

The purpose of this paper is to develop a new method based on operational matrices of Bernoulli wavelet for solving linear stochastic Itô-Volterra integral equations, numerically.

Design/methodology/approach

For this aim, Bernoulli polynomials and Bernoulli wavelet are introduced, and their properties are expressed. Then, the operational matrix and the stochastic operational matrix of integration based on Bernoulli wavelet are calculated for the first time.

Findings

By applying these matrices, the main problem would be transformed into a linear system of algebraic equations which can be solved by using a suitable numerical method. Also, a few results related to error estimate and convergence analysis of the proposed scheme are investigated.

Originality/value

Two numerical examples are included to demonstrate the accuracy and efficiency of the proposed method. All of the numerical calculation is performed on a personal computer by running some codes written in MATLAB software.

Keywords

Acknowledgements

The authors would like to express gratitude to the editor and anonymous reviewers for their valuable comments and constructive suggestions which have helped to improve the quality and presentation of this paper.

Citation

Mirzaee, F. and Samadyar, N. (2019), "Application of Bernoulli wavelet method for estimating a solution of linear stochastic Itô-Volterra integral equations", Multidiscipline Modeling in Materials and Structures, Vol. 15 No. 3, pp. 575-598. https://doi.org/10.1108/MMMS-04-2018-0075

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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