Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Natural Sciences
  3. Mathematics
  4. Mathematics
  5. Barriers of the McKean--Vlasov energy via a mountain pass theorem in the space of probability measures
 
  • Details
Barriers of the McKean--Vlasov energy via a mountain pass theorem in the
space of probability measures
File(s)
1905.11823v1.pdf (330.36 KB)
Working paper
Author(s)
Gvalani, Rishabh S
Schlichting, André
Type
Working Paper
Abstract
We show that the empirical process associated to 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 $\beta=\beta_c$. 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 $\exp(-N \Delta)$, with
$\Delta$ the energy gap at $\beta=\beta_c$. The proof is based on a version of
the mountain pass theorem for lower semicontinuous and $\lambda$-geodesically
convex functionals on the space of probability measures $\mathcal{P}(M)$
equipped with the $W_2$ Wasserstein metric, where $M$ is a Riemannian manifold
or $\mathbb{R}^d$.
Date Issued
2019-05-28
Citation
2019
URI
http://hdl.handle.net/10044/1/72063
Identifier
http://arxiv.org/abs/1905.11823v1
Subjects
math.AP
math.AP
math.FA
math.PR
Notes
26 pages
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback