Exponential Ergodicity of Non-Lipschitz Multivalued Stochastic Differential Equations
Jiagang Ren, Jing Wu, Xicheng Zhang

TL;DR
This paper proves that solutions to certain complex stochastic differential equations with multivalued components converge exponentially fast to a steady state, ensuring long-term stability of the system.
Contribution
It establishes exponential ergodicity for elliptic multivalued stochastic differential equations, a novel result for this class of non-Lipschitz systems.
Findings
Transition probabilities converge exponentially fast.
Solutions exhibit long-term stability.
Provides theoretical foundation for multivalued SDEs.
Abstract
We prove the exponential ergodicity of the transition probabilities of solutions to elliptic multivalued stochastic differential equations.
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Taxonomy
TopicsStochastic processes and financial applications · Markov Chains and Monte Carlo Methods · Statistical Methods and Inference
