A path-dependent stochastic Gronwall inequality and strong convergence rate for stochastic functional differential equations
Martin Hutzenthaler, Tuan Anh Nguyen

TL;DR
This paper develops a stochastic Gronwall inequality involving path-suprema, enabling analysis of stochastic delay equations and Euler approximations, and establishes a strong convergence rate for such equations.
Contribution
It introduces a novel stochastic Gronwall lemma with path-suprema and applies it to derive convergence rates for stochastic functional differential equations.
Findings
Established a stochastic Gronwall lemma with path-suprema.
Proved a strong convergence rate for stochastic delay equations.
Applicable to Euler-type approximations of stochastic differential equations.
Abstract
We derive a stochastic Gronwall lemma with suprema over the paths in the upper bound of the assumed affine-linear growth assumption. This allows applications to It\^o processes with coefficients which depend on earlier time points such as stochastic delay equations or Euler-type approximations of stochastic differential equations. We apply our stochastic Gronwall lemma with path-suprema to stochastic functional differential equations and prove a strong convergence rate for coefficient functions which depend on path-suprema.
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Taxonomy
TopicsNonlinear Differential Equations Analysis · Stability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering
