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Entropy is a scientific concept that is most commonly associated with a state of disorder, randomness, or uncertainty. The term and the concept are used in diverse fields, from classical thermodynamics, where it was first recognized, to the microscopic description of nature in statistical physics, and to the principles of information theory. It has found far-ranging applications in chemistry and physics, in biological systems and their relation to life, in cosmology, economics, sociology, weather science, climate change, and information systems including the transmission of information in telecommunication.
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References
- ↑ Jean-Bernard Brissaud (14 February 2005). "The Meaning of Entropy" (PDF). Entropy, 2005, 7[1], 68–96. Retrieved 2010-04-21. page 72 (page 5 of pdf)
- ↑ Chung Chieh. "Entropy: A Study Guide" . Retrieved 2010-04-21.
- 1 2 Jacob D. Bekenstein (1973). "Black Holes and Entropy" (PDF). Physical Review D. 7 (8): 2333–2346. Bibcode:1973PhRvD...7.2333B. doi:10.1103/PhysRevD.7.2333. S2CID 122636624. Archived from the original (PDF) on 2010-05-23.
- ↑ Chas A. Egan; Charles H. Lineweaver (25 January 2010). "A Larger Estimate of the Entropy of the Universe". The Astrophysical Journal. 710 (2): 1825–1834. arXiv: 0909.3983 . Bibcode:2010ApJ...710.1825E. doi:10.1088/0004-637X/710/2/1825. S2CID 1274173.
3.1×10104k
- ↑ Calculated: 3.1×10104 × k = 3.1×10104 × 1.381×10−23 J/K = 4.3×1081 J/K
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