Milstein-type methods for strong approximation of systems of SDEs with a discontinuous drift coefficient
Christopher Rauh\"ogger

TL;DR
This paper introduces a novel Milstein-type method for strong approximation of high-dimensional SDEs with discontinuous, piecewise Lipschitz drift coefficients, achieving an error rate of at least 3/4, even with non-commutative diffusion.
Contribution
It is the first to develop a Milstein-type scheme for such SDEs with discontinuous drifts and proves its convergence rate, extending applicability to general dimensions.
Findings
Achieves an $L_p$-error rate of at least 3/4- for the Milstein-type scheme.
Introduces a method that depends on iterated integrals of Brownian motion, not just evaluations.
Proves a quasi-Milstein scheme also attains the same error rate under additional continuity assumptions.
Abstract
We study strong approximation of -dimensional stochastic differential equations (SDEs) with a discontinuous drift coefficient driven by a -dimensional Brownian motion . More precisely, we essentially assume that the drift coefficient is piecewise Lipschitz continuous with an exceptional set that is an orientable -hypersurface of positive reach, the diffusion coefficient is assumed to be Lipschitz continuous and, in a neighborhood of , both coefficients are bounded and is non-degenerate. Furthermore, both and are assumed to be with intrinsic Lipschitz continuous derivative on . We introduce, for the first time in literature, a Milstein-type method which can be used to approximate SDEs of this type for general and prove that…
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Taxonomy
TopicsStochastic processes and financial applications · Gas Dynamics and Kinetic Theory
