Sharp convex generalizations of stochastic Gronwall inequalities
Sarah Geiss

TL;DR
This paper extends stochastic Gronwall inequalities to convex Bihari-LaSalle type, providing sharp constants and enabling new criteria for exponential moment finiteness in path-dependent SDEs, with applications to reaction-diffusion systems.
Contribution
It introduces convex generalizations of stochastic Gronwall inequalities with sharp constants, extending their applicability to path-dependent SDEs and related stochastic analysis problems.
Findings
Sharp convex stochastic Gronwall inequalities established.
New criteria for exponential moments of path-dependent SDEs derived.
Applications demonstrated in reaction-diffusion systems with noise.
Abstract
We provide generalizations of a class of stochastic Gronwall inequalities that has been studied by von Renesse and Scheutzow (2010), Scheutzow (2013), Xie and Zhang (2020) and Mehri and Scheutzow (2021). This class of stochastic Gronwall inequalities is a useful tool for SDEs. Our focus are convex generalizations of the Bihari-LaSalle type. The constants we obtain are sharp. In particular, we provide new sharp constants for the stochastic Gronwall inequalities. The proofs are connected to a domination inequality by Lenglart (1977), an inequality by Pratelli (1976) and a characterization of Lenglart's concept of domination via the Snell envelope. The inequalities we study appear for example in connection with exponential moments of solutions to path-dependent SDEs: For non-path-dependent SDEs, criteria for the finiteness of exponential moments are known. To be able to extend these…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering · Probabilistic and Robust Engineering Design
