On the merit of a Central Limit Theorem-based approximation in statistical physics
Bruno Leggio, Oleg Lychkovskiy, Antonino Messina

TL;DR
This paper rigorously examines a Central Limit Theorem-based approximation in statistical physics, identifying its limitations at low/intermediate temperatures and its failure to detect quantum criticalities, while confirming its high-temperature accuracy.
Contribution
It provides a rigorous analysis of the conditions under which the CLT-based approximation is valid or fails in statistical physics, clarifying its applicability and limitations.
Findings
Fails at low and intermediate temperatures
Inadequate for quantum criticalities
Accurately predicts high-temperature behavior
Abstract
The applicability conditions of a recently reported Central Limit Theorem-based approximation method in statistical physics are investigated and rigorously determined. The failure of this method at low and intermediate temperature is proved as well as its inadequacy to disclose quantum criticalities at fixed temperatures. Its high temperature predictions are in addition shown to coincide with those stemming from straightforward appropriate expansions up to (k_B T)^(-2). Our results are clearly illustrated by comparing the exact and approximate temperature dependence of the free energy of some exemplary physical systems.
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