Steady-state thermodynamics for population dynamics in fluctuating environments with side information
arXiv:2112.04338 · doi:10.1088/1742-5468/ac42cc
Abstract
Steady-state thermodynamics (SST) is a relatively newly emerging subfield of physics, which deals with transitions between steady states. In this paper, we find an SST-like structure in population dynamics of organisms that can sense their fluctuating environments. As heat is divided into two parts in SST, we decompose population growth into two parts: housekeeping growth and excess growth. Then, we derive the Clausius equality and inequality for excess growth. Using numerical simulations, we demonstrate how the Clausius inequality behaves depending on the magnitude of noise and strategies that organisms employ. Finally, we discuss the novelty of our findings and compare them with a previous study.
arXiv comment18 pages, 8 figures. accepted for publication in Journal of Statistical Mechanics: Theory and Experiment
References in corpus (20)
- A nonequilibrium equality for free energy differences
- Stochastic thermodynamics, fluctuation theorems, and molecular machines
- The Entropy Production Fluctuation Theorem and the Nonequilibrium Work Relation for Free Energy Differences
- Equilibrium free energy differences from nonequilibrium measurements: a master equation approach
- Second Law of Thermodynamics with Discrete Quantum Feedback Control
- Minimal Energy Cost for Thermodynamic Information Processing: Measurement and Information Erasure
- Three detailed fluctuation theorems
- Integral fluctuation theorem for the housekeeping heat
- Fluctuation Relations for Diffusion Processes
- Steady State Thermodynamics for Heat Conduction -- Microscopic Derivation
- An expression for stationary distribution in nonequilibrium steady state
- Geometrical Expression of Excess Entropy Production
- Mutation, selection, and ancestry in branching models: a variational approach
- Fluctuation Relations of Fitness and Information in Population Dynamics
- Fluctuation relations and fitness landscapes of growing cell populations
- A large deviation principle linking lineage statistics to fitness in microbial populations
- Stochastic and Information-thermodynamic Structures of Population Dynamics in Fluctuating Environment
- An asymptotic maximum principle for essentially linear evolution models
- Work relations with measurement and feedback control on nonuniform temperature systems
- Many-body perturbation theory and fluctuation relations for interacting population dynamics