Strong convergence of the Euler-Maruyama method for the generalized stochastic Volterra integral equations driven by Lévy Noise
Filomat, Tome 36 (2022) no. 19, p. 6713

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In this paper, the theoretical and numerical analysis of the stochastic Volterra integral equations (SVIEs) driven by Lévy noise are considered. We investigate the existence, uniqueness, boundedness and H ¨ older continuity of the analytic solutions for SVIEs driven by Lévy noise. The Euler-Maruyama method for SVIEs driven by Lévy noise is proposed. The boundedness of the numerical solution is proved, and the strong convergence order is obtained. Some numerical examples are given to support the theoretical results.
DOI : 10.2298/FIL2219713Z
Classification : 65L20, 65C40
Keywords: Stochastic Volterra integral equations, Existence and uniqueness, Hölder continuity, Euler-Maruyama method, Strong convergence
Wei Zhang; Rui Li. Strong convergence of the Euler-Maruyama method for the generalized stochastic Volterra integral equations driven by Lévy Noise. Filomat, Tome 36 (2022) no. 19, p. 6713 . doi: 10.2298/FIL2219713Z
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     author = {Wei Zhang and Rui Li},
     title = {Strong convergence of the {Euler-Maruyama} method for the generalized stochastic {Volterra} integral equations driven by {L\'evy} {Noise}},
     journal = {Filomat},
     pages = {6713 },
     year = {2022},
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     number = {19},
     doi = {10.2298/FIL2219713Z},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2219713Z/}
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