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On Fourier-Based Inequality Indices

Entropy 2022 13 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Giuseppe Toscani

Summary

Researchers developed a novel inequality index based on the Fourier transform and demonstrated that classical inequality measures including the Gini and Pietra indices can be expressed within the same Fourier-based mathematical framework. The study establishes theoretical properties of the new index and explores potential applications beyond traditional wealth distribution analysis.

Inequality indices are quantitative scores that take values in the unit interval, with a zero score denoting complete equality. They were originally created to measure the heterogeneity of wealth metrics. In this study, we focus on a new inequality index based on the Fourier transform that demonstrates a number of intriguing characteristics and shows great potential for applications. By extension, it is demonstrated that other inequality measures, such as the Gini and Pietra indices, can be usefully stated in terms of the Fourier transform, allowing us to illuminate characteristics in a novel and straightforward manner.

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