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Numerical Solution of Stochastic Ito-Volterra Integral Equations using Haar Wavelets

Published online by Cambridge University Press:  20 July 2016

Fakhrodin Mohammadi*
Affiliation:
Department of Mathematics, Hormozgan University, P. O. Box 3995, Bandarabbas, Iran
*
*Corresponding author. Email address:[email protected] (F. Mohammadi)
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Abstract

This paper presents a computational method for solving stochastic Ito-Volterra integral equations. First, Haar wavelets and their properties are employed to derive a general procedure for forming the stochastic operational matrix of Haar wavelets. Then, application of this stochastic operational matrix for solving stochastic Ito-Volterra integral equations is explained. The convergence and error analysis of the proposed method are investigated. Finally, the efficiency of the presented method is confirmed by some examples.

Type
Research Article
Copyright
Copyright © Global-Science Press 2016 

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References

[1]Kloeden, P. E. and Platen, E., Numerical Solution of Stochastic Differential Equations, Springer-Verlag, New York, 1999.Google Scholar
[2]Oksendal, B., Stochastic Differential Equations: An Introduction with Applications, 5th ed., Springer-Verlag, New York, 1998.Google Scholar
[3]Maleknejad, K., Khodabin, M., and Rostami, M., Numerical solution of stochastic Volterra integral equations by a stochastic operational matrix based on block pulse functions, Math. Comput. Model., 55 (2012), pp. 791800.Google Scholar
[4]Maleknejad, K., Khodabin, M., and Rostami, M., A numerical method for solving m-dimensional stochastic ItoVolterra integral equations by stochastic operational matrix, Comput. Math. Appl., 63 (2012), pp. 133143.Google Scholar
[5]Cortes, J. C., Jodar, L., and Villafuerte, L., Numerical solution of random differential equations: a mean square approach, Math. Comput. Model., 45 (2007), pp. 757765.Google Scholar
[6]Cortes, J. C., Jodar, L., and Villafuerte, L., Mean square numerical solution of random differential equations: facts and possibilities, Comput. Math. Appl., 53 (2007), pp. 10981106.Google Scholar
[7]Murge, M. G. and Pachpatte, B. G., Succesive approximations for solutions of second order stochastic integrodifferential equations of Ito type, Indian J. Pure Appl. Math., 21, (1990) pp. 260274.Google Scholar
[8]Khodabin, M., Maleknejad, K., Rostami, M., and Nouri, M., Numerical solution of stochastic differential equations by second order Runge-Kutta methods, Math. Comput. Model., 53 (2011), pp. 19101920.Google Scholar
[9]Khodabin, M., Maleknejad, K., Rostami, M., and Nouri, M., Numerical approach for solving stochastic Volterra-Fredholm integral equations by stochastic operational matrix, Comput. Math. Appl., 64 (2012), pp. 19031913.Google Scholar
[10]Zhang, X., Stochastic Volterra equations in Banach spaces and stochastic partial differential equation, J. Funct. Anal., 258 (2010), pp. 13611425.Google Scholar
[11]Zhang, X., Euler schemes and large deviations for stochastic Volterra equations with singular kernels, J. Differ. Equ., 244 (2008), pp. 22262250.Google Scholar
[12]Jankovic, S. and Ilic, D., One linear analytic approximation for stochastic integro-differential equations, Acta Math. Sci., 30 (2010), pp. 10731085.Google Scholar
[13]Heydari, M. H., Hooshmandasl, M. R., Maalek, F. M. and Cattani, C., A computational method for solving stochastic Ito-Volterra integral equations based on stochastic operational matrix for generalized hat basis functions, J. Comput. Phys., 270 (2014), pp. 402415.Google Scholar
[14]Strang, G., Wavelets and dilation equations: A brief introduction, SIAM, 31 (1989), pp. 614627.Google Scholar
[15]Mallat, S., A Wavelet Tour of Signal Processing, 2nd ed., Academic Press, 1999.Google Scholar
[16]Boggess, A. and Narcowich, F. J., A First Course in Wavelets with Fourier Analysis, Wiley, 2001.Google Scholar
[17]Mohammadi, F. and Hosseini, M. M., A new Legendre wavelet operational matrix of derivative and its applications in solving the singular ordinary differential equations, J. Franklin Inst., 348, 8 (2011), pp. 17871796.Google Scholar
[18]Lepik, U., Numerical solution of differential equations using Haar wavelets, Math. Comput. Simulat., 68 (2005), pp. 127143.Google Scholar
[19]Li, Y. and Zhao, W., Haar wavelet operational matrix of fractional order integration and its applications in solving the fractional order differential equations, Appl. Math. Comput., 216, no. 8 (2010), pp. 22762285.Google Scholar
[20]Arnold, L., Stochastic Differential Equations: Theory and Applications, Wiley, 1974.Google Scholar
[21]Jiang, Z. H. and Schaufelberger, W., Block Pulse Functions and Their Applications in Control Systems, Springer-Verlag, New York, 1992.Google Scholar
[22]Rao, G. P., Piecewise Constant Orthogonal Functions and Their Application to Systems and Control, Springer-Verlag, Heidelberg, 1983.Google Scholar