# Ground States And Hyperuniformity Of The Hierarchical Coulomb Gas In All   Dimensions

**Authors:** Shirshendu Ganguly, Sourav Sarkar

arXiv: 1904.05321 · 2019-05-02

## TL;DR

This paper proves hyperuniformity and fluctuation bounds for the hierarchical Coulomb gas in all dimensions greater than three, extending previous results and providing new insights into ground states and statistical properties of these systems.

## Contribution

It establishes the fluctuation behavior and variance bounds for the hierarchical Coulomb gas in all dimensions above three, filling a significant gap in the understanding of these models.

## Key findings

- Variance of point counts grows like surface area in all dimensions > 3
- Sharp variance bounds for smooth linear statistics in dimensions > 2
- Precise results on ground states of hierarchical Coulomb systems

## Abstract

Stochastic point processes with Coulomb interactions arise in various natural examples of statistical mechanics, random matrices and optimization problems. Often such systems due to their natural repulsion exhibit remarkable hyperuniformity properties, that is, the number of points landing in any given region fluctuates at a much smaller scale compared to that of a set of i.i.d. random points. A well known conjecture from physics appearing in the works of Jancovici, Lebowitz, Manificat, Martin, and Yalcin ('80,'83,'93), states that the variance of the number of points landing in a set should grow like the surface area instead of the volume unlike i.i.d. random points. In a recent beautiful work, Chatterjee (2017) gave the first proof of such a result in dimension three for a Coulomb type system, known as the hierarchical Coulomb gas, inspired by Dyson's hierarchical model of the Ising ferromagnet. However the case of dimensions greater than three had remained open. In this paper, we establish the correct fluctuation behavior up to logarithmic factors in all dimensions greater than three, for the hierarchical model. Using similar methods, we also prove sharp variance bounds for smooth linear statistics which were unknown in any dimension bigger than two. A key intermediate step is to obtain precise results about the ground states of such models whose behavior can be interpreted as hierarchical analogues of various crystalline conjectures predicted for energy minimizing systems, and could be of independent interest.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1904.05321/full.md

## References

58 references — full list in the complete paper: https://tomesphere.com/paper/1904.05321/full.md

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Source: https://tomesphere.com/paper/1904.05321