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Well-posedness and stationary solutions of McKean-Vlasov (S)PDEs
被引:4
|作者:
Angeli, L.
[1
]
Barre, J.
[2
,3
]
Kolodziejczyk, M.
[1
]
Ottobre, M.
[1
]
机构:
[1] Heriot Watt Univ, Math Dept, Edinburgh, Scotland
[2] Univ Tours, Univ Orleans, Inst Denis Poisson, CNRS, Tours, France
[3] Inst Univ France, Paris, France
基金:
英国工程与自然科学研究理事会;
关键词:
McKean Vlasov PDE;
Stochastic McKean Vlasov equation;
Stochastic partial differential equations;
Ergodic theory for SPDEs;
Stationary solutions of PDEs;
DYNAMICS;
ERGODICITY;
EQUATION;
MODEL;
D O I:
10.1016/j.jmaa.2023.127301
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
This paper is composed of two parts. In the first part we consider McKeanVlasov Partial Differential Equations (PDEs), obtained as thermodynamic limits of interacting particle systems (i.e. in the limit N -> infinity, where N is the number of particles). It is well-known that, even when the particle system has a unique invariant measure (stationary solution), the limiting PDE very often displays a phase transition: for certain choices of (coefficients and) parameter values, the PDE has a unique stationary solution, but as the value of the parameter varies multiple stationary states appear. In the first part of this paper, we add to this stream of literature and consider a specific instance of a McKean-Vlasov type equation, namely the Kuramoto model on the torus perturbed by a symmetric double-well potential, and show that this PDE undergoes the type of phase transition just described, as the diffusion coefficient is varied. In the second part of the paper, we consider a rather general class of McKean-Vlasov PDEs on the torus (which includes both the original Kuramoto model and the Kuramoto model in double well potential of part one) perturbed by (strong enough) infinite-dimensional additive noise. To the best of our knowledge, the resulting Stochastic PDE, which we refer to as the Stochastic McKean-Vlasov equation, has not been studied before, so we first study its well-posedness. We then show that the addition of noise to the PDE has the effect of restoring uniqueness of the stationary state in the sense that, irrespective of the choice of coefficients and parameter values in the McKean-Vlasov PDE, the Stochastic McKean-Vlasov PDE always admits at most one invariant measure.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).
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