Evidence map›Paper›PMID 42511408›Full record

ArticleEntropy (Basel, Switzerland)2026

Exponent Spectrum of Lorenz Curves and Its Relation to a System's Heterogeneity.

Soumyaditya Das, Soumyajyoti Biswas

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Soumyaditya DasDepartment of Physics, SRM University-AP, Mangalagiri 522240, Andhra Pradesh, India.ORCID 0000-0002-9060-4638
Soumyajyoti BiswasDepartment of Physics, SRM University-AP, Mangalagiri 522240, Andhra Pradesh, India.ORCID 0000-0002-0729-0587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyze the effect of microscopic heterogeneity on the Lorenz curve of macroscopic observables. The Lorenz curve of a response function, being a cumulative and bounded quantity; it is often a more stable function than the corresponding probability density. We show here that by doing an exponent spectrum analysis of the complementary Lorenz curve, it is possible to obtain a reflection of the underlying heterogeneity that causes the response function to depart from a power law behavior. We demonstrate this framework first by synthetic data and then by analyzing the avalanche statistics of a two dimensional, Random Field Ising Model (RFIM) at zero temperature. This method can lead to possible use in estimating the microscopic heterogeneity of a system from the analysis of an estimated Lorenz curve, particularly in socio-economic and physical contexts where the full probability distribution function is unavailable.

Indexed as

avalanche statisticscritical phenomenainequality indicesLorenz curveRandom Field Ising Model

Identifiers

PMID42511408
PMCPMC13408846

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.