Hamiltonian and Lagrangian for the trajectory of the empirical distribution and the empirical measure of Markov processes

DOI10.1007/s10955-014-1063-2zbMath1302.82077arXiv1311.2282OpenAlexW2164915780MaRDI QIDQ478431

Frank Redig, Feijia Wang

Publication date: 3 December 2014

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1311.2282

zbMATH Keywords

HamiltonianLagrangianlarge deviationsempirical measureempirical distributionFeng-Kurtz formalism

Mathematics Subject Classification ID

Interacting particle systems in time-dependent statistical mechanics (82C22) Brownian motion (60J65)

Related Items (2)

Dynamical Gibbs-non-Gibbs transitions in the Curie-Weiss Potts model in the regime \(\beta<3\) ⋮ Variational description of Gibbs-non-Gibbs dynamical transitions for spin-flip systems with a Kac-type interaction

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