Linear statistics for Coulomb gases: higher order cumulants
Abstract
We consider classical particles interacting via the Coulomb potential in spatial dimension and in the presence of an external trap, at equilibrium at inverse temperature . In the large limit, the particles are confined within a droplet of finite size. We study smooth linear statistics, i.e. the fluctuations of sums of the form , where 's are the positions of the particles and where is a sufficiently regular function. There exists at present standard results for the first and second moments of in the large limit, as well as associated Central Limit Theorems in general dimension and for a wide class of confining potentials. Here we obtain explicit expressions for the higher order cumulants of at large , when the function and the confining potential are both rotationnally invariant. A remarkable feature of our results is that these higher cumulants depend only on the value of and its higher order derivatives evaluated exactly at the boundary of the droplet, which in this case is a -dimensional sphere. In the particular two-dimensional case at the special value , a connection to the Ginibre ensemble allows us to derive these results in an alternative way using the tools of determinantal point processes. Finally we also obtain the large deviation form of the full probability distribution function of .
Keywords
Cite
@article{arxiv.2310.16420,
title = {Linear statistics for Coulomb gases: higher order cumulants},
author = {Benjamin De Bruyne and Pierre Le Doussal and Satya N. Majumdar and Gregory Schehr},
journal= {arXiv preprint arXiv:2310.16420},
year = {2024}
}
Comments
19 pages