AI summary · arXiv: 2306.00911v1 · cond-mat.stat-mech

Dissipation in Hydrodynamics from Micro- to Macroscale: Wisdom from Boltzmann and Stochastic Thermodynamics

Danilo Forastiere, Francesco Avanzini, Massimiliano Esposito
Original paper Submitted to arXiv on 01 Jun. 2023 33 pages, 1 figure License: CC BY 4.0

How to read this summary? Illustrated guide

The essentials

  • The paper explores the relationship between microscopic, mesoscopic, and macroscopic formulations of nonequilibrium thermodynamics.
  • Exact information-theoretic thermodynamic identities at the microscale are used to derive macroscopic irreversible thermodynamics for viscous fluids.
  • Entropy production is identified as a measure of the loss of many-particle correlations, similar to its role in measuring system-reservoir correlations in stochastic thermodynamics (ST).
  • Entropy production rate (EPR) at the macroscopic level is decomposed in terms of thermodynamic forces multiplied by their conjugated currents.
  • A change in a nonequilibrium potential serves as a Lyapunov function in the absence of forces.
  • Dissipative contributions at the microscale stem from exact identities for isolated Hamiltonian systems.
  • The Boltzmann equation at the mesoscale leads to a positive rate of loss of many-particle correlations known as Boltzmann entropy production rate.
  • Generalizing the Boltzmann equation accommodates boundaries with nonuniform temperature and nonzero velocity using Chapman--Enskog expansion, reproducing macroscopic theory successfully.
  • A linearized Boltzmann equation adheres to local detailed balance (LDB), replicating ST theory at an equivalent mesoscale description.
  • The study highlights the information-theoretical foundation underlying concepts like entropy and dissipation in macroscale irreversible thermodynamics, bridging different scales of thermodynamic descriptions.

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Dissipation

Read further

  • Comprehensive Summary
  • Layman's Summary
  • Blog article
  • Original abstract
In their paper titled "Dissipation in Hydrodynamics from Micro- to Macroscale: Wisdom from Boltzmann and Stochastic Thermodynamics," Danilo Forastiere, Francesco Avanzini, and Massimiliano Esposito delve into the intricate relationship between microscopic, mesoscopic, and macroscopic formulations of nonequilibrium thermodynamics. The authors demonstrate how exact information-theoretic thermodynamic identities at the microscale can be used to derive macroscopic irreversible thermodynamics for viscous fluids. One key finding of their work is the identification of entropy production as a measure of the loss of many-particle correlations, akin to how it measures the loss of system-reservoir correlations in stochastic thermodynamics (ST). By examining boundary conditions at the macroscopic level, the authors establish a natural decomposition of entropy production rate (EPR) in terms of thermodynamic forces multiplied by their conjugated currents. They also highlight a change in a suitable nonequilibrium potential that acts as a Lyapunov function in the absence of forces. At the microscale, particularly for isolated Hamiltonian systems, exact identities are pinpointed as the origin of dissipative contributions. The molecular chaos hypothesis leading to the Boltzmann equation at the mesoscale results in a positive rate of loss of many-particle correlations identified as the Boltzmann entropy production rate. Through generalizing the Boltzmann equation to accommodate boundaries with nonuniform temperature and nonzero velocity using Chapman--Enskog expansion, the authors successfully reproduce the macroscopic theory. Furthermore, an equivalent mesoscale description utilizing a linearized Boltzmann equation adheres to local detailed balance (LDB), thereby replicating ST theory. This comprehensive analysis unequivocally showcases the information-theoretical foundation underlying thermodynamic concepts such as entropy and dissipation in macroscale irreversible thermodynamics. The study's significance lies in bridging different scales of thermodynamic descriptions and shedding light on how microscopic insights can inform our understanding of macroscopic phenomena in hydrodynamics. Through their meticulous investigation, Forastiere, Avanzini, and Esposito offer valuable insights into dissipative processes across various scales within complex fluid systems.

Was this synthesis useful?

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Tools for this paper

Explain it differently 3 free rewrites left today
Save to a collection Group papers in collections to compare them, chat with them and export them. Create a free account Log in

Advanced tools Premium

For researchers who follow a field closely: citation alerts, journal-club slides, version comparison and Zotero export. Discover Premium

Zotero
Citation alerts Citation alerts guide
Journal club Premium+ Slides to present it

Papers around this one

See them on a map

Ranked by how close their title and abstract are to this paper’s. Select some to read them together.

Closest papers

  1. Related
    Statistical optimization for passive scalar transport: maximum entropy production vs maximum Kolmogorov-Sinay entropy
    Martin Mihelich, Berengere Dubrulle, Didier Paillard et al. · 2015 · Statistical Mechanics · AI summary available
    Abstract

    We derive rigorous results on the link between the principle of maximum entropy production and the principle of maximum Kolmogorov-Sinai entropy using a Markov model of the passive scalar diffusion called the Zero Range Process. We show analytically that both the entropy production and the Kolmogorov-Sinai entropy seen as functions of f admit a unique maximum denoted fmaxEP and fmaxKS. The behavior of these two maxima is explored as a function of the system disequilibrium and the system resolution N. The main result of this article is that fmaxEP and fmaxKS have the same Taylor expansion at _rst order in the deviation of equilibrium. We find that fmaxEP hardly depends on N whereas fmaxKS dep…

  2. Related
    Large deviation full counting statistics in adiabatic open quantum dynamics
    Paulo J. Paulino, Igor Lesanovsky, Federico Carollo · 2024 · Statistical Mechanics · AI summary available
    Abstract

    The state of an open quantum system undergoing an adiabatic process evolves by following the instantaneous stationary state of its time-dependent generator. This observation allows one to characterize, for a generic adiabatic evolution, the average dynamics of the open system. However, information about fluctuations of dynamical observables, such as the number of photons emitted or the time-integrated stochastic entropy production in single experimental runs, requires controlling the whole spectrum of the generator and not only the stationary state. Here, we show how such information can be obtained in adiabatic open quantum dynamics by exploiting tools from large deviation theory. We prove …

  3. Related
    Diffusion and Relaxation Controlled by Tempered α-stable Processes
    Aleksander Stanislavsky, Karina Weron, Aleksander Weron · 2011 · Phys. Rev. E 78, 051106 (2008) · AI summary available
    Abstract

    We derive general properties of anomalous diffusion and nonexponential relaxation from the theory of tempered \alpha-stable processes. Its most important application is to overcome the infinite-moment difficulty for the \alpha-stable random operational time \tau. The tempering results in the existence of all moments of \tau. The subordination by the inverse tempered \alpha-stable process provides diffusion(relaxation) that occupies an intermediate place between subdiffusion (Cole-Cole law) and normal diffusion (exponential law). Here we obtain explicitly the Fokker-Planck equation, the mean square displacement and the relaxation function. This model includes subdiffusion as a particular case…

  4. Related
    Maximum Kolmogorov-Sinai entropy vs minimum mixing time in Markov chains
    Martin Mihelich, Berengere Dubrulle, Didier Paillard et al. · 2015 · Statistical Mechanics · AI summary available
    Abstract

    Many modern techniques employed in physics, such a computation of path integrals, rely on random walks on graphs that can be represented as Markov chains. Traditionally, estimates of running times of such sampling algorithms are computed using the number of steps in the chain needed to reach the stationary distribution. This quantity is generally defined as mixing time and is often difficult to compute. In this paper, we suggest an alternative estimate based on the Kolmogorov-Sinai entropy, by establishing a link between the maximization of KSE and the minimization of the mixing time. Since KSE are easier to compute in general than mixing time, this link provides a new faster method to appro…

  5. Related
    Field Theory of Birhythmicity
    Sergei Shmakov, Peter B. Littlewood · 2025 · Statistical Mechanics · AI summary available
    Abstract

    Non-equilibrium dynamics are present in many aspects of our lives, ranging from microscopic physical systems to the functioning of the brain. What characterizes stochastic models of non-equilibrium processes is the breaking of the fluctuation-dissipation relations as well as the existence of non-static stable states, or phases. A prototypical example is a dynamical phase characterized by a limit cycle - the order parameter of finite magnitude rotating or oscillating at a fixed frequency. Consequently, birhythmicity, where two stable limit cycles coexist, is a natural extension of the simpler single limit cycle phase. Both the abundance of real systems exhibiting such states as well as their …

  6. Related
    System size expansion using Feynman rules and diagrams
    Philipp Thomas, Christian Fleck, Ramon Grima et al. · 2014 · Statistical Mechanics · AI summary available
    Abstract

    Few analytical methods exist for quantitative studies of large fluctuations in stochastic systems. In this article, we develop a simple diagrammatic approach to the Chemical Master Equation that allows us to calculate multi-time correlation functions which are accurate to a any desired order in van Kampen's system size expansion. Specifically, we present a set of Feynman rules from which this diagrammatic perturbation expansion can be constructed algorithmically. We then apply the methodology to derive in closed form the leading order corrections to the linear noise approximation of the intrinsic noise power spectrum for general biochemical reaction networks. Finally, we illustrate our resul…

  7. Related
    Topology protects chiral edge currents in stochastic systems
    Evelyn Tang, Jaime Agudo-Canalejo, Ramin Golestanian · 2020 · Phys. Rev. X 11, 031015 (2021) · AI summary available
    Abstract

    Constructing systems that exhibit time-scales much longer than those of the underlying components, as well as emergent dynamical and collective behavior, is a key goal in fields such as synthetic biology and materials self-assembly. Inspiration often comes from living systems, in which robust global behavior prevails despite the stochasticity of the underlying processes. Here, we present two-dimensional stochastic networks that consist of minimal motifs representing out-of-equilibrium cycles at the molecular scale and support chiral edge currents in configuration space. These currents arise in the topological phase due to the bulk-boundary correspondence and dominate the system dynamics in t…

  8. Related
    Classical limit of measurement-induced transition in many-body chaos in integrable and non-integrable oscillator chains
    Sibaram Ruidas, Sumilan Banerjee · 2022 · Statistical Mechanics · AI summary available
    Abstract

    We discuss the dynamics of integrable and non-integrable chains of coupled oscillators under continuous weak position measurements in the semiclassical limit. We show that, in this limit, the dynamics is described by a standard stochastic Langevin equation, and a measurement-induced transition appears as a noise- and dissipation-induced chaotic-to-non-chaotic transition akin to stochastic synchronization. In the non-integrable chain of anharmonically coupled oscillators, we show that the temporal growth and the ballistic light-cone spread of a classical out-of-time correlator characterized by the Lyapunov exponent and the butterfly velocity, are halted above a noise or below an interaction s…

How are these papers found?

We compare the title and abstract of this paper with those of every paper summarized on this site, and with the papers Semantic Scholar recommends, those it cites and those citing it (for a much-cited paper, its most recent citations and, from OpenAlex, the most cited ones). Among the prior work and the follow-ups, the papers that use each other in depth, a method it uses and the much-cited follow-ups come a little higher. The levels (very close, close, related) come from the similarity of the texts, not from a judgment of quality; * marks a paper without an abstract, compared by its title. The sentence under a paper is written by an AI from the two abstracts: check it in the papers. A paper marked not relevant by three readers leaves the list.

For now only among the papers summarized on this site: search again to add the prior work, the follow-ups and Semantic Scholar’s recommendations.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.