Exponential Stability of Solutions to Stochastic Differential Equations Driven by G-Levy Process
Bingjun Wang, Hongjun Gao

TL;DR
This paper establishes stability criteria for solutions to stochastic differential equations driven by G-Levy processes, using G-Lyapunov functions, and introduces a BDG-type inequality in G-stochastic calculus.
Contribution
It introduces a BDG-type inequality for G-stochastic calculus with G-Levy processes and constructs solutions under non-Lipschitz conditions, analyzing their stability.
Findings
Established BDG-type inequality for G-stochastic calculus
Constructed solutions under non-Lipschitz conditions
Proved mean square and quasi sure exponential stability
Abstract
In this paper, BDG-type inequality for G-stochastic calculus with respect to G-Levy process is obtained and solutions of stochastic differential equations driven by G-Levy process under non-Lipschitz condition are constructed. Moreover, we establish the mean square exponential stability and quasi sure exponential stability of the solutions be means of G-Lyapunov function method. An example is presented to illustrate the efficiency of the obtained results.
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