Anomalous system size dependence of large deviation functions for local empirical measure

DOI10.1007/s10955-013-0768-yzbMath1276.82043arXiv1303.0391OpenAlexW2066236042MaRDI QIDQ368666

Naoto Shiraishi

Publication date: 23 September 2013

Published in: Journal of Statistical Physics, Interdisciplinary Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1303.0391

zbMATH Keywords

contractionempirical measurelarge deviation functionlong-time tail

Mathematics Subject Classification ID

Large deviations (60F10) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Dynamics of random walks, random surfaces, lattice animals, etc. in time-dependent statistical mechanics (82C41) Classical dynamic and nonequilibrium statistical mechanics (general) (82C05)

Related Items (3)

Derivation of Stokes' law from Kirkwood's formula and the Green-Kubo formula via large deviation theory ⋮ Singular behaviour of time-averaged stress fluctuations on surfaces ⋮ Optimal thermodynamic uncertainty relation in Markov jump processes

Cites Work

• Unnamed Item
• Unnamed Item
• Occupation time large deviations for the symmetric simple exclusion process
• Dynamical ensembles in stationary states.
• Macroscopic fluctuation theory for stationary nonequilibrium states
• Occupation time large deviations of two-dimensional symmetric simple exclusion process.
• Large deviations for the occupation times of independent particle systems
• Large deviations for Poisson systems of independent random walks
• Large deviations from the hydrodynamical limit for a system of independent brownian particles
• Hydrodynamics and large deviation for simple exclusion processes
• Onsager Reciprocity Relations without Microscopic Reversibility

This page was built for publication: Anomalous system size dependence of large deviation functions for local empirical measure