As no heat effect and mechanical work are observed, we have a simple experimental resolution of the Gibbs paradox: both the thermodynamic entropy of mixing and the Gibbs free energy change are zero during the formation of any ideal mixtures. Information loss is the driving force of these spontaneous processes. Information is defined as the amount of the compressed data. Information losses due to dynamic motion and static symmetric structure formation are defined as two kinds of entropies—dynamic entropy and static entropy, respectively. There are three laws of information theory, where the first and the second laws are analogs of the two thermodynamic laws. However, the third law of information theory is different: for a solid structure of perfect symmetry (e.g., a perfect crystal), the entropy (static entropy for solid state) S is the maximum. More generally, a similarity principle is set up: if all the other conditions remain constant, the higher the similarity among the components is, the higher the value of entropy of the mixture (for fluid phases) or the assemblage (for a static structure or a system of condensed phases) or any other structure (such as quantum states in quantum mechanics) will be, the more stable the mixture or the assemblage will be, and the more spontaneous the process leading to such a mixture or an assemblage or a chemical bond will be.
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6 November 2008
BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
6–11 July 2008
Boraceia, Sao Paulo (Brazil)
Research Article|
November 06 2008
Gibbs Paradox and Similarity Principle
Shu‐Kun Lin
Shu‐Kun Lin
Molecular Diversity Preservation International (MDPI), Matthaeusstrasse 11, CH‐4057 Basel, Switzerland
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AIP Conf. Proc. 1073, 49–60 (2008)
Citation
Shu‐Kun Lin; Gibbs Paradox and Similarity Principle. AIP Conf. Proc. 6 November 2008; 1073 (1): 49–60. https://doi.org/10.1063/1.3039022
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