Particle systems and McKean–Vlasov dynamics with singular interaction through local times

We study a system of reflected Brownian motions on the positive half-line in which each particle has a drift toward the origin determined by the local times at the origin of all the particles. If this local time drift is too strong, such systems exhibit a breakdown in their solutions in that there is a time beyond which the system cannot be extended. In the finite particle case, we give a complete characterisation of this finite time breakdown, relying on a novel dynamic graph structure. We consider the mean-field limit of the system in the symmetric setting, which admits a McKean–Vlasov representation, and establish propagation of chaos. In the absence of breakdowns, the McKean–Vlasov equation exhibits multiple stationary and unique self-similar solutions and we prove convergence to these profiles. This work is motivated by models for liquidity in financial markets, the supercooled Stefan problem, and a toy model for cell polarisation.

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Publication Details

Journal
The Annals of Probability
Published
2026-10-15
DOI
https://doi.org/10.1214/26-aop1845
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Particle systems and McKean–Vlasov dynamics with singular interaction through local times

Graeme Baker, Ben M. Hambly, Philipp Jettkant
The Annals of Probability
Stochastic processes and financial applications
article

Particle systems and McKean–Vlasov dynamics with singular interaction through local times

Graeme Baker, Ben M. Hambly, Philipp Jettkant
article en

Abstract

We study a system of reflected Brownian motions on the positive half-line in which each particle has a drift toward the origin determined by the local times at the origin of all the particles. If this local time drift is too strong, such systems exhibit a breakdown in their solutions in that there is a time beyond which the system cannot be extended. In the finite particle case, we give a complete characterisation of this finite time breakdown, relying on a novel dynamic graph structure. We consider the mean-field limit of the system in the symmetric setting, which admits a McKean–Vlasov representation, and establish propagation of chaos. In the absence of breakdowns, the McKean–Vlasov equation exhibits multiple stationary and unique self-similar solutions and we prove convergence to these profiles. This work is motivated by models for liquidity in financial markets, the supercooled Stefan problem, and a toy model for cell polarisation.

The Annals of ProbabilityVol. 54(6)
University of Oxford (GB), Imperial College London (GB), Columbia University (US)
Openalex Percentile: Top 98%
Stochastic processes and financial applications
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