Document Type : Research Article

Authors

1 Department of Basic Sciences, Shahid Sattari Aeronautical University of Science and Technology, P. O. Box 13846-63113, Tehran, Iran

2 Department of Mathematic‏‎s, ‎University of Birjand, Birjand, Iran

Abstract

The main purpose of this paper is to propose a high order numerical method based on the finite difference methods for solving nonlinear Itˆo stochastic Volterra integral equations (SVIEs) of the second kind. To develop the method, a fourth-order implicit finite difference method and the explicit Milstein method are implemented for the discretization of non-stochastic and stochastic integral parts, respectively. To solve the original SVIEs, the proposed method has the deterministic fourth-order and strong stochastic first-order accuracy. The convergence analysis of the proposed method is proved. The finite difference method under consideration requires solving a 2×2 system of equations at each step for one-dimensional SVIE. Therefore, the proposed method is very simple to implement and does not require a lot of computational cost. Some numerical examples are prepared to indicate the verity and efficiency of the new method. Moreover, the comparative numerical results show that this method is more accurate than those existing methods given in the literature.

Keywords

[1] J. Alcock, K. Burrage, A note on the balanced method, BIT Numer. Math. 46 (4) (2006)
689-710.
[2] S. Amiri, S. Mohammad Hosseini, A class of weak second order split-drift stochastic RungeKutta schemes for stiff SDE systems, J. Comput. Appl. Math. 275 (2015) 27-43.
[3] S. Amiri, Some drift exponentially fitted stochastic Runge-Kutta methods for solving Itˆo SDE
systems, Bull. Belg. Math. Soc. Simon Stevin 26 (3) (2019), 431-451.
[4] K. Atkinson, A survey of numerical methods for the solution of fredholm integral equations
of the second kind, Philadelphia, PA : Soc. for Industrial and Applied Mathematics, (1976).
[5] H. Brunner, Volterra Integral Equations: An Introduction to Theory and Applications, Cambridge University Press, 30 (2017).
[6] J. R. Cannon, The one dimensional heat equation, Addison-Wesley (1984).
[7] P.A. Cioica, S. Dahlke, Spatial Besov regularity for semilinear stochastic partial differential
equations on bounded Lipschitz domains, Int. J. Comput. Math. 89 (18) (2012) 2443-2459.
[8] J. C. Cox, J. E. Ingersoll, S. A. Ross, A theory of the term structure of interest rates,
Econometrica 53 (1985) 385-407.
[9] M. Ehler, Shrinkage rules for variational minimization problems and applications to analytical ultracentrifugation, J. Inverse Ill-Posed Probl. 19 (4-5)(2011) 593-614.
[10] R. Gorenflo, F. Mainardi, Fractional calculus. Springer, (1997).
[11] W. Hackbusch, Integral equations: theory and numerical treatment, Birkhauser, 120 (2012).
[12] M. Hefter, A. Herzwurm, Strong convergence rates for Cox-Ingersoll-Ross processes-Full
parameter range, Journal of Mathematical Analysis and Applications, 459 (2) (2018) 1079-
1101.
[13] M.H. Heydari, M.R. Hooshmandasl, F.M. Maalek Ghaini, C. Cattani, A computational
method for solving stochastic Itˆo-Volterra integral equations based on stochastic operational
matrix for generalized hat basis functions, J. Comput. Phys. 270 (2014) 402-415.
[14] M. Khodabin, K. Maleknejad and F. Hosseini, Application of triangular functions to numerical solution of stochastic volterra integral equations, IAENG International Journal of
Applied Mathematics, 43 (1) (2013).
[15] M. Khodabin, K. Maleknejad, M. Rostami, M. Nouri, Interpolation solution in generalized
stochastic exponential population growth model, Appl. Math. Model. 36 (2012) 1023-1033.
[16] P. Kloeden, E. Platen, Numerical Solution of Stochastic Differential Equations, SpringerVerlag, Berlin, (1999).
[17] H. Liang, Z. Yang, J. Gao, Strong superconvergence of the EulerMaruyama method for linear
stochastic Volterra integral equations, J. Comput. Appl. Math. 317 (2017) 447-457.
[18] K. Maleknejad, M. Khodabin, M. Rostami, Numerical Solution of Stochastic Volterra Integral Equations By Stochastic Operational Matrix Based on Block Pulse Functions, Mathematical and Computer Modelling, (2012) 791-800.
[19] F. Mainardi, Fractional calculus and waves in linear viscoelasticity: an introduction to mathematical models, World Scientific, (2010).
[20] R.K. Miller, On a system of integro-differential equations occurring in reactor dynamics,
SIAM J. Appl. Math. 14 (1966) 446-452.
[21] G.N. Milstein, The numerical integration of stochastic differential equations, Springer, Dordrecht, (1995).
[22] F. Mirzaee, E. Hadadiyan, A collocation technique for solving nonlinear Stochastic ItˆoVolterra integral equations, Applied Mathematics and Computation 247 (2014) 1011-1020.
[23] F. Mohammadi, A wavelet-based computational method for solving stochastic Itˆo-Volterra
integral equations, Journal of Computational Physics, 298 (2015) 254-265.
[24] B. Kh. Mousavi, A. A. Hemmat, M. H. Heydari, Wilson wavelets for solving nonlinear
stochastic integral equations, Wavelets and Linear Algebra 4(2) (2017) 33-48.
[25] B. Oksendal, Stochastic Differential Equations, An Introduction with Applications, Fifth
Edition, Springer-Verlag, New York, (1998).
[26] D. ORegan, M. Meehan, Existence theory for nonlinear integral and integrodifferential equations, Springer Science & Business Media, (2012) 445.
[27] A. R¨oßler, Rooted tree analysis for order conditions of stochastic Runge-Kutta methods for
the weak approximation of stochastic differential equations, Stochastic Anal. Appl. 24 (1)
(2006) 97-134.
[28] M. Saffarzadeh, G.B. Loghmani, M. Heydari, An iterative technique for the numerical solution of nonlinear stochastic Itˆo-Volterra integral equations, Journal of Computational and
Applied Mathematics 333 (2018) 74-86.
[29] F.H. Shekarabi, M. Khodabin, K. Maleknejad, The Petrov-Galerkin method for numerical
solution of stochastic Volterra integral equations, IAENG Int. J. Appl. Math. 44 (2014) 170-
176.
[30] Z. Sadati, Kh. Maleknejad, Application of triangular functions for solving Vasicek model,
Journal of Linear and Topological Algebra, 4 (3) (2015) 173-182.
[31] S. Saha Ray, P. Singh, Numerical solution of stochastic Itˆo-Volterra integral equation by
using Shifted Jacobi operational matrix method, Appl. Math. Comput. 410 (2021) 126440.
[32] F. G. Tricomi, Integral equations, Courier Corporation, (1957).