Hidden Information, Energy Dispersion and Disorder: Does Entropy Really Measure Disorder?
- 1 Advanced Laser Light Source (ALLS), Centre Energie, Matériaux et Télécommunications Institut National de la Recherche Scientifique INRS-EMT, Varennes, Canada
- 2 University of Strasbourg, CNRS, ISIS UMR, Strasbourg, France
- 3 Département de Physique, FPS, Cadi Ayyad University, Marrakesh, Morocco
- 4 Equipe des Matériaux Supraconducteurs, Université Ibn Zohr, Faculté des Sciences, Agadir, Morocco
- 5 Department of Electrical and Computer Engineering, Université de Sherbrooke, Sherbrooke, Canada
- 6 Laboratoire des Sciences de l’Ingénieur pour l’Energie, ENSAJ, Université Chouaibdoukkali, El Jadida, Morocco
- 7 Laboratoire des Nanomatériaux pour l’Energie et l’Environnement LN2E, FPS, Cadi Ayyad University, Marrakesh, Morocco
- 8 Laboratoire de Dynamique et Optique des Matériaux, FS, Université Mohamed Premier, Oujda, Morocco
Abstract
Despite its appearance in physics around the 1850th, the second law of thermodynamics is still attracting more efforts to be clarified. More specifically, fifteen years later (1865) after its definition and introduction, entropy has been the subject of various interpretations. Hence, in physical sciences and notably in different education levels, its concept seems to be relatively tough to unambiguous decipher. In this work, we re-introduce the notion of entropy from classical, quantum and information theories viewpoints. The controversial over entropy and a measure of disorder misconception, stated by many scientists, is addressed as well to come up with less confusing physical interpretation of entropy. Hence, over time, an increase of entropy, a quantitative quantity, is most often associated to a rising of disorder, a non-quantitative quantity and no value-returning mathematical equation, rather than a continuously increasing of hidden data. In other words, linking disorder to hidden data is typically raising more confusion than clarification. Here, we shed more light on both concepts to find out an acceptable interpretation of entropy.
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