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.
Categories: cond-mat.stat-mech math-ph math.MP math.PR