Weak approximation of kinetic SDEs: closing the criticality gap
Zimo Hao, Khoa L\^e, Chengcheng Ling

TL;DR
This paper proves that a tamed Euler-Maruyama scheme for kinetic SDEs with integrable drifts converges in density at rate 1/2, regardless of the criticality gap, advancing understanding of numerical methods for such equations.
Contribution
It establishes the convergence rate of the scheme independently of the criticality gap, filling a gap in the analysis of kinetic SDE approximations.
Findings
Convergence rate of 1/2 for the scheme's density
Independence from the criticality gap
Extension to kinetic SDEs with integrable drifts
Abstract
We study the weak convergence of a generic tamed Euler-Maruyama scheme for kinetic stochastic differential equations (SDEs) with integrable drifts. We show that the marginal density of the considered scheme converges at rate 1/2 to the corresponding marginal density of the SDE. The convergence rate is independent from the criticality gap, which is new compared to previous results.
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Taxonomy
TopicsStochastic processes and financial applications · Gas Dynamics and Kinetic Theory · Markov Chains and Monte Carlo Methods
