On the relation between gradient flows and the large-deviation principle, with applications to Markov chains and diffusion

DOI10.1007/s11118-014-9418-5zbMath1304.35692arXiv1312.7591OpenAlexW3101485854WikidataQ59901742 ScholiaQ59901742MaRDI QIDQ471066

Alexander Mielke, D. R. Michiel Renger, Mark Adriaan Peletier

Publication date: 13 November 2014

Published in: Potential Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.7591

zbMATH Keywords

large deviationsconvex analysisparticle systemsgeneralized gradient flows

Mathematics Subject Classification ID

Continuous-time Markov processes on general state spaces (60J25) Large deviations (60F10) Continuous-time Markov processes on discrete state spaces (60J27) Variational principles of physics (49S05) Fokker-Planck equations (35Q84) PDEs in connection with statistical mechanics (35Q82)

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Uses Software

• GENERIC

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