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Entropy02:39

Entropy

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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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Entropy Change in Reversible Processes01:10

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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.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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First Law: Particles in One-dimensional Equilibrium01:10

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Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
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First Law: Particles in Two-dimensional Equilibrium01:18

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Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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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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Second Law of Thermodynamics02:49

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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. 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...
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Related Experiment Video

Updated: Jul 8, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

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Probabilistic description of dissipative chaotic scattering.

Lachlan G Burton1, Holger R Dullin1, Eduardo G Altmann1

  • 1School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales 2006, Australia.

Physical Review. E
|December 20, 2023
PubMed
Summary

Dissipation in chaotic scattering systems can be understood from conservative systems. The survival probability in dissipative systems relates to the escape rate and conditionally invariant measure of conservative systems.

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Area of Science:

  • * Physics
  • * Nonlinear Dynamics
  • * Statistical Mechanics

Background:

  • * Chaotic scattering systems exhibit complex dynamics.
  • * Dissipation introduces unique finite-time behaviors in survival probability.
  • * Understanding these behaviors is crucial for predicting system evolution.

Purpose of the Study:

  • * To determine how probabilistic properties of dissipative chaotic scattering systems relate to their conservative counterparts.
  • * To analyze the influence of dissipation on survival probability decay.
  • * To connect finite-time regimes in dissipative systems to conservative system properties.

Main Methods:

  • * Theoretical analysis of chaotic scattering systems with dissipation.
  • * Calculation of effective escape rates, including nonhyperbolic regimes.
  • * Application of conditionally invariant measure concepts.
  • * Numerical simulations using the Hénon-Heiles model.

Main Results:

  • * Exponential decay of survival probability (P(t)∼e^{-κt}) observed in fully chaotic systems, with escape rate (κ) energy-dependent.
  • * Dissipation introduces distinct finite-time regimes in survival probability.
  • * These regimes are explained by the conservative system's escape rate until a critical energy.
  • * Surviving trajectories in dissipative systems follow the conservative system's conditionally invariant measure at corresponding energies.

Conclusions:

  • * The probabilistic properties of dissipative chaotic scattering systems can be effectively understood from their conservative counterparts.
  • * The escape rate and conditionally invariant measure of conservative systems provide key insights into dissipative system dynamics.
  • * The Hénon-Heiles model validates the theoretical predictions for small dissipation and long times.