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The entropy in finite NN-unit nonextensive systems: the ordinary average and qq-average

Abstract

We have discussed the Tsallis entropy in finite NN-unit nonextensive systems, by using the multivariate qq-Gaussian probability distribution functions (PDFs) derived by the maximum entropy methods with the normal average and the qq-average (qq: the entropic index). The Tsallis entropy obtained by the qq-average has an exponential NN dependence: Sq(N)/Ne(1q)NS1(1)S_q^{(N)}/N \simeq \:e^{(1-q)N \:S_1^{(1)}} for large NN (1(1q)>0\gg \frac{1}{(1-q)} >0). In contrast, the Tsallis entropy obtained by the normal average is given by Sq(N)/N[1/(q1)N]S_q^{(N)}/N \simeq [1/(q-1)N] for large NN (1(q1)>0)\gg \frac{1}{(q-1)} > 0). NN dependences of the Tsallis entropy obtained by the qq- and normal averages are generally quite different, although the both results are in fairly good agreement for q11.0\vert q-1 \vert \ll 1.0. The validity of the factorization approximation to PDFs which has been commonly adopted in the literature, has been examined. We have calculated correlations defined by Cm=(δxiδxj)m(δxi)m(δxj)mC_m= \langle (\delta x_i \:\delta x_j)^m \rangle -\langle (\delta x_i)^m \rangle\: \langle (\delta x_j)^m \rangle for iji \neq j where δxi=xixi\delta x_i=x_i -\langle x_i \rangle, and the bracket \langle \cdot \rangle stands for the normal and qq-averages. The first-order correlation (m=1m=1) expresses the intrinsic correlation and higher-order correlations with m2m \geq 2 include nonextensivity-induced correlation, whose physical origin is elucidated in the superstatistics.Comment: 23 pages, 5 figures: the final version accepted in J. Math. Phy

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