A stochastic Gronwall inequality and applications to moments, strong completeness, strong local Lipschitz continuity, and perturbations
arXiv:1903.08727 · doi:10.1214/20-AIHP1064
Abstract
There are numerous applications of the classical (deterministic) Gronwall inequality. Recently, Michael Scheutzow discovered a stochastic Gronwall inequality which provides upper bounds for -th moments, , of the supremum of nonnegative scalar continuous processes which satisfy a linear integral inequality. In this article we complement this with upper bounds for -th moments, , of the supremum of general Itô processes which satisfy a suitable one-sided affine-linear growth condition. As example applications, we improve known results on strong local Lipschitz continuity in the starting point of solutions of stochastic differential equations (SDEs), on (exponential) moment estimates for SDEs, on strong completeness of SDEs, and on perturbation estimates for SDEs.
26 pages
References in corpus (7)
- A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
- Global flows for stochastic differential equations without global Lipschitz conditions
- Strong and weak divergence of exponential and linear-implicit Euler approximations for stochastic partial differential equations with superlinearly growing nonlinearities
- Mean-square approximations of Lévy noise driven SDEs with super-linearly growing diffusion and jump coefficients
- On explicit order 1.5 approximations with varying coefficients: the case of super-linear diffusion coefficients
- A note on convergence and stability of the truncated Milstein method for stochastic differential equations
- A New Efficient Explicit Scheme of Order for SDE with Super-linear Drift Coefficient