Constantino Tsallis, Murray Gell-Mann, Yuzuru Sato
Proceedings of the National Academy of Sciences of the United States of America 102 43 15377 - 15382 2005年10月25日
[査読有り][通常論文] Phase space can be constructed for N equal and distinguishable subsystems that could be probabilistically either weakly correlated or strongly correlated. If they are locally correlated, we expect the Boltzmann-Gibbs entropy S(BG) equivalent to -k Sigma(i) p(i) In p(i) to be extensive, i.e., S(BG)(N) proportional to N for N -> infinity. In particular, if they are independent, S(BG) is strictly additive, i.e., S(BG)(N) = NS(BG)(1), for all N. However, if the subsystems are globally correlated, we expect, for a vast class of systems, the entropy S(q) equivalent to k[l - Sigma(i) p(i)(q)]/(q - 1) (with S(1) = S(BG)) for some special value of q not equal 1 to be the one which is extensive [i.e., Sq(N) proportional to N for N -> infinity]. Another concept which is relevant is strict or asymptotic scale-freedom (or scale-in variance), defined as the situation for which all marginal probabilities of the N-system coincide or asymptotically approach (for N -> infinity) the joint probabilities of the (N - 1)-system. If each subsystem is a binary one, scale-freedom is guaranteed by what we hereafter refer to as the Leibnitz rule, i.e., the sum of two successive joint probabilities of the N-system coincides or asymptotically approaches the corresponding joint probability of the (N - 1)-system. The kinds of interplay of these various concepts are illustrated in several examples. One of them justifies the title of this paper. We conjecture that these mechanisms are deeply related to the very frequent emergence, in natural and artificial complex systems, of scale-free structures and to their connections with nonextensive statistical mechanics. Summarizing, we have shown that, for asymptotically scale-invariant systems, it is S(q) with q not equal 1, and not S(BG), the entropy which matches standard, clausius-like, prescriptions of classical thermodynamics.