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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-10-26
摘要
The correlated probabilistic model introduced and analytically discussed in Hanel et al. (2009) is based on a self-dual transformation of the index q which characterizes a current generalization of Boltzmann-Gibbs 統計 mechanics, namely nonextensive 統計 mechanics, and yields, in the N -> oo limit, a Q-Gaussian distribution for any chosen value of Q E [1, 3). We show here that, by properly generalizing that self-dual transformation, it is possible to obtain an entire family of such probabilistic models, all of them yielding Qc-Gaussians (Qc >= 1) in the N -> oo limit. This family turns out to be isomorphic to the Hanel et al model through a specific monotonic transformation Qc(Q). Then, by following along the lines of Tirnakli et al (2022), we numerically show that this family of correlated pr
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