Irreversibility in dynamical phases and transitions
Autor: | Benjamin B. Machta, Daniel S. Seara, Michael P. Murrell |
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Rok vydání: | 2021 |
Předmět: |
Phase transition
Entropy Science Normal Distribution FOS: Physical sciences General Physics and Astronomy Quantitative Biology - Quantitative Methods 01 natural sciences Measure (mathematics) Article General Biochemistry Genetics and Molecular Biology Microscopic scale 010305 fluids & plasmas 0103 physical sciences Computer Simulation Physics - Biological Physics Statistical physics 010306 general physics Quantitative Methods (q-bio.QM) Condensed Matter - Statistical Mechanics Physics Multidisciplinary Statistical Mechanics (cond-mat.stat-mech) Entropy production Scalar (physics) General Chemistry Models Theoretical Dissipation Active matter Phase transitions and critical phenomena Brusselator Biological Physics (physics.bio-ph) FOS: Biological sciences Biological physics |
Zdroj: | Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021) Nature Communications |
ISSN: | 2041-1723 |
Popis: | Living and non-living active matter consumes energy at the microscopic scale to drive emergent, macroscopic behavior including traveling waves and coherent oscillations. Recent work has characterized non-equilibrium systems by their total energy dissipation, but little has been said about how dissipation manifests in distinct spatiotemporal patterns. We introduce a novel measure of irreversibility we term the entropy production factor (EPF) to quantify how time reversal symmetry is broken in field theories across scales. We use the EPF to characterize a dynamical phase transition in simulations of the Brusselator, a prototypical biochemically motivated non-linear oscillator. The EPF quantifies the distribution of irreversibility across spatiotemporal frequencies as the Brusselator transitions from local to global coherent oscillations, bounding the energetic cost to establish spatially synchronized biochemical oscillations. 21 pages main, 24 pages SM, 14 figures (5 main, 9 supplementary) |
Databáze: | OpenAIRE |
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