35 research outputs found

    The imprints of superstatistics in multiparticle production processes

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    We provide an update of the overview of imprints of Tsallis nonextensive statistics seen in a multiparticle production processes. They reveal an ubiquitous presence of power law distributions of different variables characterized by the nonextensivity parameter q > 1. In nuclear collisions one additionally observes a q-dependence of the multiplicity fluctuations reflecting the finiteness of the hadronizing source. We present sum rules connecting parameters q obtained from an analysis of different observables, which allows us to combine different kinds of fluctuations seen in the data and analyze an ensemble in which the energy (E), temperature (T) and multiplicity (N) can all fluctuate. This results in a generalization of the so called Lindhard's thermodynamic uncertainty relation. Finally, based on the example of nucleus-nucleus collisions (treated as a quasi-superposition of nucleon-nucleon collisions) we demonstrate that, for the standard Tsallis entropy with degree of nonextensivity q < 1, the corresponding standard Tsallis distribution is described by q' = 2 - q > 1.Comment: 12 pages, 3 figures. Based on invited talk given by Z.Wlodarczyk at SigmaPhi2011 conference, Larnaka, Cyprus, 11-15 July 2011. To be published in Cent. Eur. J. Phys. (2011

    O některých nových mírách nejistoty, nepřesnosti a informace a o jejich charakteristikách

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    O některých nových mírách nejistoty, nepřesnosti a informace a o jejich charakteristikách

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    Zobecnění neaditivních měr nejistoty a informace a jejich axiomatické charakteristiky

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    Some infinite series for Fc,F_{c}, F4,F_{4}, GG-functions

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    An application of a functional equation to information theory

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    On the birthday problem: some generalizations and applications

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    We study the birthday problem and some possible extensions. We discuss the unimodality of the corresponding exact probability distribution and express the moments and generating functions by means of confluent hypergeometric functions U(−;−;−) which are computable using the software Mathematica. The distribution is generalized in two possible directions, one of them consists in considering a random graph with a single attracting center. Possible applications are also indicated

    Generalization of sum representation functional equations. II: Generalized directed divergence

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    An axiomatic characterization of generalized directed-divergence

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