Towards a large deviation theory for statistical-mechanical complex systems

Details Towards a large deviation theory for statistical-mechanical complex systems Towards a large deviation theory for statistical-mechanical complex systems

2011-10-28

arxiv.org/abs/1110.6303v1

Physics

Condensed Matter

Statistical Mechanics

6 pages, 4 figures

Scientific paper

The theory of large deviations constitutes a mathematical cornerstone in the foundations of Boltzmann-Gibbs statistical mechanics, based on the additive entropy $S_{BG}=- k_B\sum_{i=1}^W p_i \ln p_i$. Its optimization under appropriate constraints yields the celebrated BG weight $e^{-\beta E_i}$. An elementary large-deviation connection is provided by $N$ independent binary variables, which, in the $N\to\infty$ limit yields a Gaussian distribution. The probability of having $n \ne N/2$ out of $N$ throws is governed by the exponential decay $e^{-N r}$, where the rate function $r$ is directly related to the relative BG entropy. To deal with a wide class of complex systems, nonextensive statistical mechanics has been proposed, based on the nonadditive entropy $S_q=k_B\frac{1- \sum_{i=1}^W p_i^q}{q-1}$ ($q \in {\cal R}; \,S_1=S_{BG}$). Its optimization yields the generalized weight $e_q^{-\beta_q E_i}$ ($e_q^z \equiv [1+(1-q)z]^{1/(1-q)};\,e_1^z=e^z)$. We numerically study large deviations for a strongly correlated model which depends on the indices $Q \in [1,2)$ and $\gamma \in (0,1)$. This model provides, in the $N\to\infty$ limit ($\forall \gamma$), $Q$-Gaussian distributions, ubiquitously observed in nature ($Q\to 1$ recovers the independent binary model). We show that its corresponding large deviations are governed by $e_q^{-N r_q}$ ($\propto 1/N^{1/(q-1)}$ if $q>1$) where $q= \frac{Q-1}{\gamma (3-Q)}+1 \ge 1$. This $q$-generalized illustration opens wide the door towards a desirable large-deviation foundation of nonextensive statistical mechanics.

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