Participation ratio for constraint-driven condensation with superextensive mass
Giacomo Gradenigo, Eric Bertin

TL;DR
This paper investigates how the participation ratio signals condensation in sums of power-law distributed variables when the total mass scales superextensively with system size, revealing a phase transition between homogeneous and condensed phases.
Contribution
It introduces a unified framework for understanding condensation phenomena across unconstrained and constrained mass scenarios, focusing on superextensive total mass scaling.
Findings
Identification of a critical exponent for phase transition
Demonstration of weak condensation at the transition line
Extension of participation ratio analysis to superextensive mass
Abstract
Broadly distributed random variables with a power-law distribution are known to generate condensation effects, in the sense that, when the exponent lies in a certain interval, the largest variable in a sum of (independent and identically distributed) terms is for large of the same order as the sum itself. In particular, when the distribution has infinite mean () one finds unconstrained condensation, whereas for constrained condensation takes places fixing the total mass to a large enough value . In both cases, a standard indicator of the condensation phenomenon is the participation ratio (), which takes a finite value for when condensation occurs. To better understand the connection between constrained and unconstrained…
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