Rate of Convergence in the Smoluchowski-Kramers Approximation for Mean-field Stochastic Differential Equations
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Ta Cong Son, Dung Quang Le*, Manh Hong Duong
Abstract: In this paper we study a second-order mean-field stochastic differential systems describing the movement of a particle under the influence of a time-dependent force, a friction, a mean-field interaction and a space and time-dependent stochastic noise. Using techniques from Malliavin calculus, we establish explicit rates of convergence in the zero-mass limit (Smoluchowski- Kramers approximation) in the L p -distances and in the total variation distance for the position process, the velocity process and a re-scaled velocity process to their corresponding limiting processes.