Open Access
2022 Existence of invariant probability measures for functional McKean-Vlasov SDEs
Jianhai Bao, Michael Scheutzow, Chenggui Yuan
Author Affiliations +
Electron. J. Probab. 27: 1-14 (2022). DOI: 10.1214/22-EJP773

Abstract

We show existence of an invariant probability measure for a class of functional McKean-Vlasov SDEs by applying Kakutani’s fixed point theorem to a suitable class of probability measures on a space of continuous functions. Unlike some previous works [1, 25], we do not assume a monotonicity condition to hold. Further, our conditions are even weaker than some results in the literature on invariant probability measures for functional SDEs without dependence on the law of the solution [12].

Funding Statement

Supported in part by NNSFC (11831014, 12071340).

Citation

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Jianhai Bao. Michael Scheutzow. Chenggui Yuan. "Existence of invariant probability measures for functional McKean-Vlasov SDEs." Electron. J. Probab. 27 1 - 14, 2022. https://doi.org/10.1214/22-EJP773

Information

Received: 29 July 2021; Accepted: 30 March 2022; Published: 2022
First available in Project Euclid: 8 April 2022

MathSciNet: MR4404942
zbMATH: 1487.60144
Digital Object Identifier: 10.1214/22-EJP773

Subjects:
Primary: 47D07 , 60J60

Keywords: functional McKean-Vlasov SDE , invariant probability measure , Kakutani’s fixed point theorem

Vol.27 • 2022
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