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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
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A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
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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 models, the...
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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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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.
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Finite-Time Thermodynamics in Economics.

Anatoly Tsirlin1, Larisa Gagarina2

  • 1Ailamazyan Program Systems Institute of Russian Academy of Sciences, 152120 Rostov, Russia.

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|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces capital dissipation to measure irreversibility in economic trading systems. It develops optimal trading strategies by minimizing this dissipation using kinetic equations.

Keywords:
economicsirreversibilityoptimal processesthermodynamics

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Area of Science:

  • Economics
  • Economic Systems Analysis
  • Mathematical Economics

Background:

  • Optimal trading processes are crucial for economic efficiency.
  • Accounting for irreversibility factors is essential for realistic economic modeling.
  • Existing models may not fully capture the impact of process irreversibility.

Purpose of the Study:

  • To analyze optimal trading processes in economic systems.
  • To introduce and utilize the concept of capital dissipation as a measure of irreversibility.
  • To develop a framework for minimizing capital dissipation in microeconomic systems.

Main Methods:

  • Utilizing the wealth function concept for analysis.
  • Proving the existence of a welfare function.
  • Introducing and defining capital dissipation.
  • Formulating economic balances that include capital dissipation.
  • Considering kinetic equations for minimal dissipation.

Main Results:

  • The existence of the welfare function is established.
  • Capital dissipation is defined as a measure of process irreversibility.
  • Economic balances incorporating capital dissipation are formulated.
  • Kinetic equations are presented for achieving minimal dissipation.

Conclusions:

  • Capital dissipation provides a novel measure for irreversibility in economic systems.
  • The developed framework enables the analysis of optimal trading under irreversible conditions.
  • Minimizing capital dissipation through kinetic equations offers a path towards more efficient economic processes.