Simulation of McKean–Vlasov SDEs with super-linear growth

نویسندگان

چکیده

Abstract We present two fully probabilistic Euler schemes, one explicit and implicit, for the simulation of McKean–Vlasov Stochastic Differential Equations (MV-SDEs) with drifts super-linear growth random initial condition. provide a pathwise propagation chaos result show strong convergence both schemes on consequent particle system. The scheme attains standard $1/2$ rate in stepsize. From technical point view, we successfully use stopping times to prove implicit method; although avoid them altogether one. combination interactions condition makes proofs technically more involved. Numerical tests recover theoretical rates illustrate computational complexity advantage over scheme. Comparative analysis is carried out stylized non-Lipschitz MV-SDE mean-field model FitzHugh–Nagumo neurons. numerical illustrating corruption effect where single diverging can ‘corrupt’ whole Moreover, particles system likely this divergence occur.

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ژورنال

عنوان ژورنال: Ima Journal of Numerical Analysis

سال: 2021

ISSN: ['1464-3642', '0272-4979']

DOI: https://doi.org/10.1093/imanum/draa099