Entropic extensivity and large deviations in the presence of strong correlations
Ugur Tirnakli, Mauricio Marques, Constantino Tsallis

TL;DR
This paper investigates how large deviation theory extends to strongly correlated systems, revealing a q-exponential form of probability distributions and a connection to nonadditive entropy, with implications for complex systems and long-range interactions.
Contribution
It introduces a generalized large deviation framework for strongly correlated systems, linking q-Gaussian attractors to nonadditive entropy and demonstrating extensivity in a simple spin-like model.
Findings
Probability distribution follows a q-exponential form with q in (1, 5/3)
Rate function relates to nonadditive q-entropy, showing extensivity
Model mirrors long-range interacting ferromagnets and complex systems
Abstract
The standard Large Deviation Theory (LDT) mirrors the Boltzmann-Gibbs (BG) factor which describes the thermal equilibrium of short-range Hamiltonian systems, the velocity distribution of which is Maxwellian. It is generically applicable to systems satisfying the Central Limit Theorem (CLT), among others. When we focus instead on stationary states of typical complex systems (e.g., classical long-range Hamiltonian systems), both the CLT and LDT need to be generalized. We focus here on a scale-invariant stochastic process involving strongly-correlated exchangeable random variables which, through the Laplace-de Finetti theorem, is known to yield a long-tailed -Gaussian attractor in the space of distributions (. We present strong numerical indications that the corresponding LDT probability distribution is given by…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Complex Systems and Time Series Analysis
