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Legendre wavelets Galerkin method for solving nonlinear stochastic integral equations

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Abstract

In this paper, an efficient and accurate computational method based on the Legendre wavelets (LWs) together with the Galerkin method is proposed for solving a class of nonlinear stochastic Itô–Volterra integral equations. For this purpose, a new stochastic operational matrix (SOM) for LWs is derived. A collocation method based on hat functions (HFs) is employed to derive a general procedure for forming this matrix. The LWs and their operational matrices of integration and stochastic Itô-integration and also some useful properties of these basis functions are used to transform such problems into corresponding nonlinear systems of algebraic equations, which can be simply solved to achieve the solution of such problems. Moreover, the efficiency of the proposed method is shown for some concrete examples. The results reveal that the proposed method is very accurate and efficient. Furthermore as some useful applications, the proposed method is applied to obtain approximate solutions for some stochastic problems in the mathematics finance, biology, physics and chemistry.

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Authors and Affiliations

  1. Faculty of Mathematics, Yazd University, Yazd, Iran

    M. H. Heydari, M. R. Hooshmandasl & A. Shakiba

  2. Laboratory of Quantum Information Processing, Yazd University, Yazd, Iran

    M. H. Heydari, M. R. Hooshmandasl & A. Shakiba

  3. Engineering School, Tuscia University, Largo dell’s University, 01100, Viterbo, Italy

    C. Cattani

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  1. M. H. Heydari
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  2. M. R. Hooshmandasl
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  3. A. Shakiba
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  4. C. Cattani
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Correspondence to M. H. Heydari.

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Heydari, M.H., Hooshmandasl, M.R., Shakiba, A. et al. Legendre wavelets Galerkin method for solving nonlinear stochastic integral equations. Nonlinear Dyn 85, 1185–1202 (2016). https://doi.org/10.1007/s11071-016-2753-x

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