Stability, Uniqueness and Existence of Solutions to McKean–Vlasov Stochastic Differential Equations in Arbitrary Moments
Abstract We deduce stability and pathwise uniqueness for a McKean–Vlasov equation with random coefficients and a multidimensional Brownian motion as driver. Our analysis focuses on a non-Lipschitz continuous drift and includes moment estimates for random Itô processes that are of independent interest. For deterministic coefficients, we provide unique strong solutions even if the drift fails to be of affine growth. The theory that we develop rests on Itô’s formula and leads to p th moment and pathwise exponential stability for $$p\ge 2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> with explicit Lyapunov exponents.
Authors
- Thilo Meyer‐Brandis (ORCID: https://orcid.org/0000-0002-6374-7983)
- Frank Proske (ORCID: https://orcid.org/0000-0002-0463-0726)
- Alexander Kalinin (ORCID: https://orcid.org/0000-0003-2654-9969)
Institutions
- University of Oslo (NO)
- LMU Klinikum (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Journal of Theoretical Probability
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1007/s10959-024-01344-2
- Citations
- 3
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Ludwig-Maximilians-Universität München