Power-law tail distributions and nonergodicity
Eric Lutz

TL;DR
This paper explores how systems with power-law tail distributions exhibit ergodicity breaking, linking the divergence of moments to nonergodic behavior, thus providing a theoretical framework for understanding such phenomena.
Contribution
It establishes a direct connection between ergodicity breaking and the divergence of moments in power-law distributions, offering new insights into nonergodic systems.
Findings
Power-law tail distributions can cause ergodicity breaking.
Divergence of moments correlates with nonergodic behavior.
Provides a theoretical basis for analyzing nonergodic systems.
Abstract
We establish an explicit correspondence between ergodicity breaking in a system described by power-law tail distributions and the divergence of the moments of these distributions.
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