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  5. Barriers of the McKean–Vlasov energy via a mountain pass theorem in the space of probability measures
 
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Barriers of the McKean–Vlasov energy via a mountain pass theorem in the space of probability measures
File(s)
mpclean.pdf (506.03 KB)
Accepted version
Author(s)
Gvalani, Rishabh
Schlichting, Andre
Type
Journal Article
Abstract
We show that the empirical process associated with a system of weakly interacting diffusion processes exhibits a form of noise-induced metastability. The result is based on an analysis of the associated McKean–Vlasov free energy, which, for suitable attractive interaction potentials, has at least two distinct global minimisers at the critical parameter value . On the torus, one of these states is the spatially homogeneous constant state, and the other is a clustered state. We show that a third critical point exists at this value. As a result, we obtain that the probability of transition of the empirical process from the constant state scales like , with Δ the energy gap at . The proof is based on a version of the mountain pass theorem for lower semicontinuous and λ-geodesically convex functionals on the space of probability measures equipped with the 2-Wasserstein metric, where M is a complete, connected, and smooth Riemannian manifold.
Date Issued
2020-08-06
Date Acceptance
2020-07-20
Citation
Journal of Functional Analysis, 2020
URI
http://hdl.handle.net/10044/1/81448
DOI
https://www.dx.doi.org/10.1016/j.jfa.2020.108720
ISSN
0022-1236
Publisher
Elsevier
Journal / Book Title
Journal of Functional Analysis
Copyright Statement
© 2020 Published by Elsevier Inc. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
License URL
http://creativecommons.org/licenses/by-nc-nd/4.0
Sponsor
Engineering and Physical Sciences Research Council
Grant Number
1676118
Subjects
General Mathematics
0101 Pure Mathematics
Publication Status
Published online
Article Number
108720
Date Publish Online
2020-08-06
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