Universal and non-universal large deviations in critical systems
Rare events play a crucial role in understanding complex systems. Characterizing and analyzing them in scale-invariant situations is challenging due to strong correlations. In this work, we focus on characterizing the tails of probability distribution functions (PDFs) for these systems. Using a vari...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
02.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Rare events play a crucial role in understanding complex systems.
Characterizing and analyzing them in scale-invariant situations is challenging
due to strong correlations. In this work, we focus on characterizing the tails
of probability distribution functions (PDFs) for these systems. Using a variety
of methods, perturbation theory, functional renormalization group, hierarchical
models, large $n$ limit, and Monte Carlo simulations, we investigate universal
rare events of critical $O(n)$ systems. Additionally, we explore the crossover
from universal to nonuniversal behavior in PDF tails, extending Cram\'er's
series to strongly correlated variables. Our findings highlight the universal
and nonuniversal aspects of rare event statistics and challenge existing
assumptions about power-law corrections to the leading stretched exponential
decay in these tails. |
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DOI: | 10.48550/arxiv.2409.01250 |