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.

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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

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article

Stability, Uniqueness and Existence of Solutions to McKean–Vlasov Stochastic Differential Equations in Arbitrary Moments

Thilo Meyer‐Brandis, Frank Proske, Alexander Kalinin
3 citations
Journal of Theoretical Probability
Stochastic processes and financial applications
1.62
article

Stability, Uniqueness and Existence of Solutions to McKean–Vlasov Stochastic Differential Equations in Arbitrary Moments

Thilo Meyer‐Brandis, Frank Proske, Alexander Kalinin
article en
3 citations

Abstract

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.

Journal of Theoretical ProbabilityVol. 37(4)
University of Oslo (NO), LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Ludwig-Maximilians-Universität München
Openalex Percentile: Top 16%
Stochastic processes and financial applications
1.62
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