Definition of the Subject
Thermodynamics and statistical mechanics are among the most important formalisms in contemporary physics. They have overwhelming and intertwinedapplications in science and technology. They essentially rely on two basic concepts, namely energy and entropy . The mathematical expression that is used for the first one is well known to be nonuniversal; indeed, it depends on whether we are say in classical, quantum, or relativistic regimes. The second concept, andvery specifically its connection with the microscopic world, has been considered during well over one century as essentially unique and universalas a physical concept. Although some mathematical generalizations of the entropy have been proposed during thelast forty years, they have frequently been considered as mere practical expressions for disciplines such as cybernetics and control theory, with noparticular physical interpretation. What we have witnessed during the last two decades is the growth, among...
Abbreviations
- Absolute temperature:
-
Denoted T.
- Clausius entropy:
-
Also called thermodynamic entropy. Denoted S.
- Boltzmann–Gibbs entropy:
-
Basis of Boltzmann–Gibbs statistical mechanics. This entropy, denoted \( { S_\mathrm{BG} } \), is additive. Indeed, for two probabilistically independent subsystems A and B, it satisfies \( S_\mathrm{BG}(A+B)= S_\mathrm{BG}(A) + S_\mathrm{BG}(B) \).
- Nonadditive entropy:
-
It usually refers to the basis of nonextensive statistical mechanics. This entropy, denoted S q , is nonadditive for \( { q \ne 1 } \). Indeed, for two probabilistically independent subsystems A and B, it satisfies \( { S_{q}(A+B)\ne S_{q}(A)+S_{q}(B) \;(q \ne 1) } \). For historical reasons, it is frequently (but inadequately) referred to as nonextensive entropy.
- q‑logarithmic and q‑exponential functions:
-
Denoted \( { \ln_q x\, (\ln_1 x = \ln x) } \), and \( { \text{e}_q^x\, (\text{e}_1^x = \text{e}^x) } \), respectively.
- Extensive system:
-
So called for historical reasons. A more appropriate name would be additive system. It is a system which, in one way or another, relies on or is connected to the (additive) Boltzmann–Gibbs entropy. Its basic dynamical and/or structural quantities are expected to be of the exponential form. In the sense of complexity, it may be considered a simple system.
- Nonextensive system:
-
So called for historical reasons. A more appropriate name would be nonadditive system. It is a system which, in one way or another, relies on or is connected to a (nonadditive) entropy such as \( { S_q (q \ne 1) } \). Its basic dynamical and/or structural quantities are expected to asymptotically be of the power-law form. In the sense of complexity, it may be considered a complex system.
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Tsallis C (2004) What should a statistical mechanics satisfy to reflectnature? Physica D 193:3–34
Tsallis C (2004) Dynamical scenario for nonextensive statisticalmechanics. Physica A 340:1–10
Tsallis C (2005) Is the entropy S q extensive or nonextensive? In: Beck C, Benedek G, Rapisarda A, Tsallis C (eds) Complexity, Metastability and Nonextensivity. World Scientific,Singapore
Tsallis C (2005) Nonextensive statistical mechanics, anomalous diffusion andcentral limit theorems. Milan J Math 73:145–176
Tsallis C, Bukman DJ (1996) Anomalous diffusion in the presence of externalforces: exact time‐dependent solutions and their thermostatistical basis. Phys Rev E 54:R2197–R2200
Tsallis C, Queiros SMD (2007) Nonextensivestatistical mechanics and central limit theorems I – Convolution of independent random variables and q‑product. In: Abe S, Herrmann HJ, Quarati P, Rapisarda A, Tsallis C (eds) Complexity, Metastability and Nonextensivity. American Institute of PhysicsConference Proceedings, vol 965. New York, pp 8–20
Tsallis C, Souza AMC (2003) Constructing a statistical mechanics forBeck-Cohen superstatistics. Phys Rev E 67:026106
Tsallis C, Stariolo DA (1996) Generalized simulated annealing. Phys A233:395–406; A preliminary version appeared (in English) as Notas de Fisica/CBPF 026 (June 1994)
Tsallis C, Levy SVF, de Souza AMC, Maynard R (1995)Statistical‐mechanical foundation of the ubiquity of Levy distributions in nature. Phys Rev Lett 75:3589–3593; Erratum: (1996) Phys Rev Lett77:5442
Tsallis C, Mendes RS, Plastino AR (1998) The role of constraints withingeneralized nonextensive statistics. Physica A 261:534–554
Tsallis C, Bemski G, Mendes RS(1999) Is re‐association in foldedproteins a case of nonextensivity? Phys Lett A 257:93–98
Tsallis C, Lloyd S, Baranger M (2001) Peres criterion for separabilitythrough nonextensive entropy. Phys Rev A 63:042104
Tsallis C, Anjos JC, Borges EP (2003) Fluxes of cosmic rays:A delicately balanced stationary state. Phys Lett A 310:372–376
Tsallis C, Anteneodo C, Borland L, Osorio R (2003) Nonextensive statisticalmechanics and economics. Physica A 324:89–100
Tsallis C, Mann GM, Sato Y (2005) Asymptotically scale‐invariantoccupancy of phase space makes the entropy S q extensive. ProcNatl Acad Sci USA 102:15377–15382
Tsallis C, Mann GM, Sato Y (2005) Extensivity and entropy production. In:Boon JP, Tsallis C (eds) Nonextensive Statistical Mechanics: New Trends, New perspectives. Europhys News 36:186–189
Tsallis C, Rapisarda A, Pluchino A, Borges EP (2007) On thenon‐Boltzmannian nature of quasi‐stationary states in long-range interacting systems. Physica A 381:143–147
Tsekouras GA, Tsallis C (2005) Generalized entropy arising froma distribution of q‑indices. Phys Rev E 71:046144
Umarov S, Tsallis C (2007) Multivariate generalizations ofthe q–central limit theorem. cond-mat/0703533
Umarov S, Tsallis C, Steinberg S (2008) On a q‑centrallimit theorem consistent with nonextensive statistical mechanics. Milan J Math 76. doi:10.1007/s00032-008-0087-y
Umarov S, Tsallis C, Gell-Mann M, Steinberg S (2008) Symmetric (q, α)‑stable distributions. Part I: First representation. cond-mat/0606038v2
Umarov S, Tsallis C, Gell-Mann M, Steinberg S (2008) Symmetric (q, α)‑stable distributions. Part II: Second representation. cond-mat/0606040v2
Upadhyaya A, Rieu J-P, Glazier JA, Sawada Y (2001) Anomalous diffusion andnon‐Gaussian velocity distribution of Hydra cells in cellular aggregates. Physica A 293:549–558
Vajda I (1968) Kybernetika 4:105 (in Czech)
Varotsos PA, Sarlis NV, Tanaka HK, Skordas ES (2005) Some properties of theentropy in the natural time. Phys Rev E 71:032102
Wehrl A (1978) Rev Modern Phys 50:221
Weinstein YS, Lloyd S, Tsallis C (2002) Border between between regular andchaotic quantum dynamics. Phys Rev Lett 89:214101
Weinstein YS, Tsallis C, Lloyd S (2004) On the emergence of nonextensivityat the edge of quantum chaos. In: Elze H-T (ed) Decoherence and Entropy in Complex Systems. Lecture notes in physics, vol 633. Springer, Berlin,pp 385–397
White DR, Kejzar N, Tsallis C, Farmer JD, White S (2005) A generativemodel for feedback networks. Phys Rev E 73:016119
Wilk G, Wlodarczyk Z (2004) Acta Phys Pol B35:871–879
Wu JL, Chen HJ (2007) Fluctuation in nonextensive reaction‐diffusionsystems. Phys Scripta 75:722–725
Yamano T (2004) Distribution of the Japanese posted land price and thegeneralized entropy. Euro Phys J B 38:665–669
Zanette DH, Alemany PA (1995) Thermodynamics of anomalous diffusion. PhysRev Lett 75:366–369
Acknowledgments
Among the very many colleagues towards which I am deeply grateful for profound and long‐lasting comments along many years, it is a must to explicitly thank S. Abe, E.P. Borges, E.G.D. Cohen, E.M.F. Curado, M. Gell-Mann, R.S. Mendes, A. Plastino, A.R. Plastino, A.K. Rajagopal, A. Rapisarda and A. Robledo.
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Tsallis, C. (2009). Entropy. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_172
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