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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Comment on "The Winfree model with non-infinitesimal phase-response curve: Ott-Antonsen theory" [Chaos 30, 073139 (2020)].

Chaos (Woodbury, N.Y.)·2021
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The Winfree model with non-infinitesimal phase-response curve: Ott-Antonsen theory.

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Updated: Dec 13, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Variational approach to KPZ: Fluctuation theorems and large deviation function for entropy production.

Horacio S Wio1, Miguel A Rodríguez2, Rafael Gallego3

  • 1IFISC (Instituto de Física Interdisciplinar y Sistemas Complejos), Universitat de les Illes Balears-CSIC, 07122 Palma de Mallorca, Spain.

Chaos (Woodbury, N.Y.)
|August 6, 2020
PubMed
Summary
This summary is machine-generated.

This study adapts a path-integral scheme to analyze fluctuation theorems in the unstable Kardar-Parisi-Zhang (KPZ) system. The method allows for detailed and integral fluctuation theorems and entropy production analysis.

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Area of Science:

  • Statistical physics
  • Non-equilibrium systems

Background:

  • The Kardar-Parisi-Zhang (KPZ) equation describes driven interfaces and exhibits complex, unstable behavior.
  • Standard methods struggle with systems lacking stationary probability distributions.

Purpose of the Study:

  • To develop a method for studying fluctuation theorems in unstable systems like the KPZ equation.
  • To analyze detailed and integral fluctuation theorems and entropy production.

Main Methods:

  • Adaptation of a path-integral scheme.
  • Application of a variational approach.
  • Analysis of systems without stationary probability distributions.

Main Results:

  • A methodology is presented for obtaining detailed and integral fluctuation theorems for the KPZ system.
  • The path-integral approach is suitable for unstable systems.
  • The method enables the determination of a large deviation function for entropy production.

Conclusions:

  • The developed path-integral and variational approach effectively analyzes fluctuation theorems in unstable systems.
  • This framework provides insights into non-equilibrium statistical mechanics and entropy production.
  • The methodology is extendable to other similar unstable systems.