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Related Concept Videos

Entropy02:39

Entropy

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...
Entropy01:18

Entropy

The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
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Second Law of Thermodynamics

In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
Standard Entropy Change for a Reaction03:00

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Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
The Entropy as a State Function01:14

The Entropy as a State Function

Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...
Maxwell's Thermodynamic Relations01:23

Maxwell's Thermodynamic Relations

Maxwell's thermodynamic relations are very useful in solving problems in thermodynamics. Each of Maxwell's relations relates a partial differential between quantities that can be hard to measure experimentally to a partial differential between quantities that can be easily measured. These relations are a set of equations derivable from the symmetry of the second derivatives and the thermodynamic potentials.
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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Modified fluctuation-dissipation and Einstein relation at nonequilibrium steady states.

Debasish Chaudhuri1, Abhishek Chaudhuri

  • 1FOM Institute for Atomic and Molecular Physics, Science Park 104, NL-1098XG Amsterdam, The Netherlands. d.chaudhuri@amolf.nl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 3, 2012
PubMed
Summary
This summary is machine-generated.

This study unifies modified fluctuation-dissipation relations (MFDR) for nonequilibrium systems. It demonstrates the equivalence of different dynamic approaches and corrects the Einstein relation using a flashing ratchet model.

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Area of Science:

  • Statistical Mechanics
  • Nonlinear Dynamics
  • Physical Chemistry

Background:

  • The fluctuation-dissipation relation (FDR) traditionally connects equilibrium fluctuations to response functions.
  • Extending FDR to nonequilibrium steady states (NESS) is crucial for understanding complex systems.
  • Previous work has explored modified FDR (MFDR) but lacked a unified derivation across different dynamics.

Purpose of the Study:

  • To present a unified theoretical framework for deriving modified fluctuation-dissipation relations (MFDR).
  • To demonstrate the equivalence of MFDR derived from continuum Langevin and discrete master equation dynamics.
  • To provide a corrected Einstein relation applicable to nonequilibrium systems.

Main Methods:

  • Unified derivation of MFDR based on pioneering work by Agarwal.
  • Comparison of velocity forms of MFDR obtained from Langevin and master equation approaches.
  • Application of the derived formalism to a flashing ratchet model.

Main Results:

  • A unified derivation of several modified fluctuation-dissipation relations (MFDR) is presented.
  • Equivalence between velocity forms of MFDR derived from continuum Langevin and discrete master equation dynamics is shown.
  • An additive correction to the Einstein relation is derived and exemplified.

Conclusions:

  • The developed formalism provides a consistent approach to MFDR for nonequilibrium systems.
  • The equivalence of different dynamical descriptions simplifies the analysis of NESS.
  • The corrected Einstein relation offers a valuable tool for studying molecular motors and similar systems.