The zero-noise limit of SDEs with $L^\infty$ drift
Ulrik Skre Fjordholm, Markus Musch, Andrey Pilipenko

TL;DR
This paper investigates the behavior of one-dimensional stochastic differential equations with discontinuous drifts as noise vanishes, showing convergence to a unique distribution among possible deterministic solutions.
Contribution
It establishes conditions under which solutions of SDEs with discontinuous drifts converge to a unique limit distribution in the zero-noise limit.
Findings
Convergence to a unique distribution in the zero-noise limit
Tools for computing the limit distribution
Applicable to equations with discontinuous drifts
Abstract
We study the zero-noise limit for autonomous, one-dimensional ordinary differential equations with discontinuous right-hand sides. Although the deterministic equation might have infinitely many solutions, we show, under rather general conditions, that the sequence of stochastically perturbed solutions converges to a unique distribution on classical solutions of the deterministic equation. We provide several tools for computing this limit distribution.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics
