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Convergence rate in mathcal{L}^p sense of tamed EM scheme for highly nonlinear neutral multiple-delay stochastic McKean-Vlasov equations

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arxiv 2302.09724 v1 pith:2C5ALDIY submitted 2023-02-20 math.NA cs.NA

Convergence rate in mathcal{L}^p sense of tamed EM scheme for highly nonlinear neutral multiple-delay stochastic McKean-Vlasov equations

classification math.NA cs.NA
keywords convergencemathcalnumericalparticleschemesensehighlymckean-vlasov
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper focuses on the numerical scheme of highly nonlinear neutral multiple-delay stohchastic McKean-Vlasov equation (NMSMVE) by virtue of the stochastic particle method. First, under general assumptions, the results about propagation of chaos in $\mathcal{L}^p$ sense are shown. Then the tamed Euler-Maruyama scheme to the corresponding particle system is established and the convergence rate in $\mathcal{L}^p$ sense is obtained. Furthermore, combining these two results gives the convergence error between the objective NMSMVE and numerical approximation, which is related to the particle number and step size. Finally, two numerical examples are provided to support the finding.

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