2009/11/18 by Sven Dorosz, Michel Pleimling · 8 citations
Chemistry · Computer Science · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Chemistry #Computer science #Detailed balance #Diffusion #Mechanics #Non-equilibrium thermodynamics #Nonlinear Dynamics and Pattern Formation #Observable #Physical chemistry #Physics #Quantum mechanics #Reaction–diffusion system #Statistical physics #Steady state (chemistry) #Thermodynamics #Transient (computer programming) #Work (physics) #cond-mat.stat-mech #stochastic dynamics and bifurcation
paper · pdf · doi:10.1103/physreve.80.061114
published in Physical Review E 80(6), 061114 (American Physical Society) · 11 pages, 13 figures, to appear in Physical Review E
arxiv created 2009/11/18 · openalex publication_date 2009/12/14 · arxiv updated 2015/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In the past, the study of reaction-diffusion systems has greatly contributed to our understanding of the behavior of many-body systems far from equilibrium. In this paper, we aim at characterizing the properties of diffusion-limited reactions both in their steady states and out of stationarity. Many reaction-diffusion systems have the peculiarity that microscopic reversibility is broken such that their transient behavior cannot be investigated through the study of most of the observables discussed in the literature. For this reason, we analyze the transient properties of reaction-diffusion systems through a specific work observable that remains well defined even in the absence of microscopic reversibility and that obeys an exact detailed fluctuation relation in cases where detailed balance is fulfilled. We thereby drive the systems out of their nonequilibrium steady states through time-dependent reaction rates. Using a numerical exact method and computer simulations, we analyze fluctuation ratios of the probability distributions obtained during the forward and reversed processes. We show that the underlying microscopic dynamics gives rise to peculiarities in the configuration-space trajectories, thereby, yielding prominent features in the fluctuation ratios.