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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

Existence and uniqueness theorems for solutions of McKean–Vlasov stochastic equations


Authors: Yuliya Mishura and Alexander Veretennikov
Journal: Theor. Probability and Math. Statist. 103 (2020), 59-101
MSC (2020): Primary 60H10; Secondary 60E99, 60F17, 60H05, 60J60
DOI: https://doi.org/10.1090/tpms/1135
Published electronically: June 16, 2021
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Abstract: New weak and strong existence and weak and strong uniqueness results for the solutions of multi-dimensional stochastic McKean–Vlasov equation are established under relaxed regularity conditions. Weak existence requires a non-degeneracy of diffusion and no more than a linear growth of both coefficients in the state variable. Weak and strong uniqueness are established under the restricted assumption of diffusion, yet without any regularity of the drift; this part is based on the analysis of the total variation metric.


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Additional Information

Yuliya Mishura
Affiliation: Taras Shevchenko National University of Kyiv
Email: myus@univ.kiev.ua

Alexander Veretennikov
Affiliation: University of Leeds, United Kingdom; and National Research University Higher School of Economics, Russian Federation, and Institute for Information Transmission Problems, Moscow, Russia
Email: alexander.veretennikov2011@yandex.ru

Keywords: Stochastic Itô–McKean–Vlasov equation, weak and strong existence, weak and strong uniqueness, relaxed regularity conditions
Received by editor(s): December 12, 2019
Published electronically: June 16, 2021
Additional Notes: For the second author this research has been funded by the Russian Academic Excellence Project ’5-100’ (Proposition 1, Lemma 3) and by the Russian Science Foundation project 17-11-01098 (Theorem 2). Certain stages of this work had been fulfilled while the second author was visiting Bielefeld University within the programme SFB1283. The author appreciates this opportunity very much.
Dedicated: In memory of A.V. Skorokhod (10.09.1930 – 03.01.2011)
Article copyright: © Copyright 2020 Taras Shevchenko National University of Kyiv