English

Truncated linear statistics in the one dimensional one-component plasma

Statistical Mechanics 2021-10-12 v1 Mathematical Physics math.MP

Abstract

In this paper, we study the probability distribution of the observable s=(1/N)i=NN+1Nxis = (1/N)\sum_{i=N-N'+1}^N x_i, with 1NN1 \leq N' \leq N and x1<x2<<xNx_1<x_2<\cdots< x_N representing the ordered positions of NN particles in a 1d1d one-component plasma, i.e., NN harmonically confined charges on a line, with pairwise repulsive 1d1d Coulomb interaction xixj|x_i-x_j|. This observable represents an example of a truncated linear statistics -- here the center of mass of the N=κNN' = \kappa \, N (with 0<κ10 < \kappa \leq 1) rightmost particles. It interpolates between the position of the rightmost particle (in the limit κ0\kappa \to 0) and the full center of mass (in the limit κ1\kappa \to 1). We show that, for large NN, ss fluctuates around its mean s\langle s \rangle and the typical fluctuations are Gaussian, of width O(N3/2)O(N^{-3/2}). The atypical large fluctuations of ss, for fixed κ\kappa, are instead described by a large deviation form PN,κ(s)exp[N3ϕκ(s)]{\cal P}_{N, \kappa}(s)\simeq \exp{\left[-N^3 \phi_\kappa(s)\right]}, where the rate function ϕκ(s)\phi_\kappa(s) is computed analytically. We show that ϕκ(s)\phi_{\kappa}(s) takes different functional forms in five distinct regions in the (κ,s)(\kappa,s) plane separated by phase boundaries, thus leading to a rich phase diagram in the (κ,s)(\kappa,s) plane. Across all the phase boundaries the rate function ϕ(κ,s)\phi(\kappa,s) undergoes a third-order phase transition. This rate function is also evaluated numerically using a sophisticated importance sampling method, and we find a perfect agreement with our analytical predictions.

Keywords

Cite

@article{arxiv.2107.14433,
  title  = {Truncated linear statistics in the one dimensional one-component plasma},
  author = {Ana Flack and Satya N. Majumdar and Gregory Schehr},
  journal= {arXiv preprint arXiv:2107.14433},
  year   = {2021}
}

Comments

36 pages, 9 figures

R2 v1 2026-06-24T04:40:35.585Z