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2009
DOI: 10.1590/s0103-97332009000400023
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q-distributions in complex systems: a brief review

Abstract: The nonextensive statistical mechanics proposed by Tsallis is today an intense and growing research field. Probability distributions which emerges from the nonextensive formalism (q-distributions) have been applied to an impressive variety of problems. In particular, the role of q-distributions in the interdisciplinary field of complex systems has been expanding. Here, we make a brief review of q-exponential, q-Gaussian and q-Weibull distributions focusing some of their basic properties and recent applications… Show more

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Cited by 103 publications
(88 citation statements)
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References 125 publications
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“…q = 1/(2 − q) and B q = (2 − q)/B q (Picoli et al, 2009). The cumulative distribution P (> τ ) also exhibits the qexponential form as the physical probability p(τ ).…”
Section: Interevent Time Distributionmentioning
confidence: 99%
“…q = 1/(2 − q) and B q = (2 − q)/B q (Picoli et al, 2009). The cumulative distribution P (> τ ) also exhibits the qexponential form as the physical probability p(τ ).…”
Section: Interevent Time Distributionmentioning
confidence: 99%
“…Approximating the number of microstates as (19) we obtain that the probability of the microstate of the system S is proportional to the Boltzmann factor…”
Section: Canonical Ensemble In Boltzmann-gibbs Statistical Mechanicsmentioning
confidence: 99%
“…The non-extensive statistical mechanics has been used to describe phenomena in various in high-energy physics [4], spin-glasses [5], cold atoms in optical lattices [6], trapped ions [7], anomalous diffusion [8,9], dusty plasmas [10], low-dimensional dissipative and conservative maps in the dynamical systems [11][12][13], turbulent flows [14], Langevin dynamics with fluctuating temperature [15,16]. Concepts related to the non-extensive statistical mechanics have found applications not only in physics but in chemistry, biology, mathematics, economics, and informatics as well [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…One may mention, for instance, high-energy physics [3]- [4], spin-glasses [5], cold atoms in optical lattices [6], trapped ions [7], anomalous diffusion [8], [9], dusty plasmas [10], low-dimensional dissipative and conservative maps in dynamical systems [11], [12], [13], turbulent flows [14], Levy flights [15], the QCD-based Nambu, Jona, Lasinio model of a many-body field theory [16], etc. Notions related to qstatistical mechanics have been found useful not only in physics but also in chemistry, biology, mathematics, economics, and informatics [17], [18], [19].…”
Section: Introductionmentioning
confidence: 99%