Computational mechanics of molecular systems: Quantifying high-dimensional dynamics by distribution of Poincaré recurrence times

DOI10.1063/1.3608125zbMath1317.82026OpenAlexW2013034961WikidataQ39700680 ScholiaQ39700680MaRDI QIDQ5264349

Dmitry Nerukh, Vladimir B. Ryabov

Publication date: 27 July 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://publications.aston.ac.uk/id/eprint/38627/1/1.3608125.pdf

Mathematics Subject Classification ID

Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Foundations of time-dependent statistical mechanics (82C03) Dynamical aspects of statistical mechanics (37A60)

Related Items (1)

Correlated biased random walk with latency in one and two dimensions: asserting patterned and unpredictable movement

Cites Work

• Testing for nonlinearity in time series: the method of surrogate data
• A comparative classification of complexity measures
• Chaos, fractional kinetics, and anomalous transport
• Ergodic theory of chaos and strange attractors
• An Introduction to Symbolic Dynamics and Coding
• Space–time complexity in Hamiltonian dynamics

This page was built for publication: Computational mechanics of molecular systems: Quantifying high-dimensional dynamics by distribution of Poincaré recurrence times