(Anti)Gravitron: A Statistical Physics Perspective on Multidimensional Metrics of Polarizing Inequality
Rolando Gonzales Martinez
TL;DR
This work addresses how to quantify polarizing inequality in high-dimensional, heterogeneous systems by linking statistical physics to social science. It develops the AntiGravitron framework, employing multivariate Beta mixtures on the bounded domain $[0,1]^K$ to capture modality, concentration, and separation among social clusters. The paper defines a three-part inequality index that combines modal entropy, intra-modal concentration, and inter-modal separation, and validates it through Monte Carlo simulations and an empirical application to US income by ethnicity and geography. The approach offers a flexible, interpretable tool for small-area estimation of polarization-driven inequality with potential cross-domain use in biomedicine and epidemiology, where multi-axial exclusion and attractor dynamics shape outcomes.
Abstract
This paper introduces a novel framework for measuring multidimensional inequality based on a statistical physics reinterpretation of centrifugal and centripetal forces in rotating systems. Inspired by the mechanics of the Gravitron and extended via the conceptual AntiGravitron, this study proposes a new class of inequality metrics grounded in multivariate mixtures of Beta distributions. These composite metrics capture three key structural dimensions of polarizing inequality: the number and balance of population clusters (modal entropy), the internal uniformity of each cluster (concentration), and the separation between clusters in attribute space (geometric divergence). Monte Carlo simulations of the AntiGravitron show how bifurcation, stratification, and polarization jointly influence inequality measurements due to multidimensional attraction-repulsion forces. An empirical application of the AntiGravitron to US household income data reveals polarized inequality driven by intersecting centripetal and centrifugal socio-economic forces affecting Black and African American populations in the Philadelphia County. By bridging physical systems theory and social stratification analysis, this paper offers a rigorous, flexible, and interpretable metric that enhances the understanding of polarizing inequality in high-dimensional, structurally heterogeneous contexts. The AntiGravitron framework holds promise for small-area estimation of polarization-driven inequality in socio-economics and biomedicine domains such as epidemiology, where inequality arises from multi-axial exclusion and attractor dynamics.
