Approximation of SDE solutions using local asymptotic expansions

نویسندگان

چکیده

Abstract We develop an asymptotic expansion for small time of the density solution a non-degenerate system stochastic differential equations with smooth coefficients, and apply this to stepwise approximation solutions. The expansion, which takes form multivariate Edgeworth-type is obtained from Kolmogorov forward equation using some standard PDE results. To generate one step solution, we use Cornish–Fisher type derived Edgeworth expansion. interpret generated in way as strong couplings between (normal) random variables used Brownian path driving SDE. These are constructed techniques optimal transport Vaserstein metrics. so may be regarded intermediate conventional weak approximation. In principle approximations any order can obtained, though higher orders algebra becomes very heavy. 1/2 method gives usual Euler approximation; 1 it variant Milstein method, but needs only normal generated. However somewhat limited by non-degeneracy requirement.

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ژورنال

عنوان ژورنال: Stochastics And Partial Differential Equations: Analysis And Computations

سال: 2021

ISSN: ['2194-0401', '2194-041X']

DOI: https://doi.org/10.1007/s40072-021-00232-8