Open Access
2023 Existence and non-uniqueness of stationary distributions for distribution dependent SDEs
Shao-Qin Zhang
Author Affiliations +
Electron. J. Probab. 28: 1-34 (2023). DOI: 10.1214/23-EJP981

Abstract

The existence and non-uniqueness of stationary distributions for distribution dependent stochastic differential equations with regular coefficients and singular coefficients are investigated. The existence of several stationary distributions is referred to as the phase transition. Our criterion on the existence and the non-uniqueness allow the drift to be in the non-gradient case and the noise to be multiplicative and depend on the law of the solution. By using our criterion, McKean-Vlasov stochastic equations in double-wells landscape with the quadratic interaction and the non-quadratic interaction driven by distribution dependent multiplicative noise are investigated.

Funding Statement

Supported by the National Natural Science Foundation of China (Grant No. 11901604, 11771326), and Program for Innovation Research in Central University of Finance and Economics.

Acknowledgments

The author thanks referees for their useful comments.

Citation

Download Citation

Shao-Qin Zhang. "Existence and non-uniqueness of stationary distributions for distribution dependent SDEs." Electron. J. Probab. 28 1 - 34, 2023. https://doi.org/10.1214/23-EJP981

Information

Received: 3 August 2021; Accepted: 22 June 2023; Published: 2023
First available in Project Euclid: 11 July 2023

MathSciNet: MR4613856
zbMATH: 07721265
Digital Object Identifier: 10.1214/23-EJP981

Subjects:
Primary: 60G10 , 60H10

Keywords: Distribution dependent SDEs , invariant probabilities , McKean-Vlasov stochastic differential equations , phase transition , Zvonkin’s transform

Vol.28 • 2023
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