Jitendra Kethepalli, Manas Kulkarni, Anupam Kundu, Satya N. Majumdar, David Mukamel, Grégory Schehr
{"title":"Full counting statistics of 1d short-range Riesz gases in confinement","authors":"Jitendra Kethepalli, Manas Kulkarni, Anupam Kundu, Satya N. Majumdar, David Mukamel, Grégory Schehr","doi":"arxiv-2403.18750","DOIUrl":null,"url":null,"abstract":"We investigate the full counting statistics (FCS) of a harmonically confined\n1d short-range Riesz gas consisting of $N$ particles in equilibrium at finite\ntemperature. The particles interact with each other through a repulsive\npower-law interaction with an exponent $k>1$ which includes the Calogero-Moser\nmodel for $k=2$. We examine the probability distribution of the number of\nparticles in a finite domain $[-W, W]$ called number distribution, denoted by\n$\\mathcal{N}(W, N)$. We analyze the probability distribution of $\\mathcal{N}(W,\nN)$ and show that it exhibits a large deviation form for large $N$\ncharacterised by a speed $N^{\\frac{3k+2}{k+2}}$ and by a large deviation\nfunction of the fraction $c = \\mathcal{N}(W, N)/N$ of the particles inside the\ndomain and $W$. We show that the density profiles that create the large\ndeviations display interesting shape transitions as one varies $c$ and $W$.\nThis is manifested by a third-order phase transition exhibited by the large\ndeviation function that has discontinuous third derivatives. Monte-Carlo (MC)\nsimulations show good agreement with our analytical expressions for the\ncorresponding density profiles. We find that the typical fluctuations of\n$\\mathcal{N}(W, N)$, obtained from our field theoretic calculations are\nGaussian distributed with a variance that scales as $N^{\\nu_k}$, with $\\nu_k =\n(2-k)/(2+k)$. We also present some numerical findings on the mean and the\nvariance. Furthermore, we adapt our formalism to study the index distribution\n(where the domain is semi-infinite $(-\\infty, W])$, linear statistics (the\nvariance), thermodynamic pressure and bulk modulus.","PeriodicalId":501275,"journal":{"name":"arXiv - PHYS - Mathematical Physics","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Mathematical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.18750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We investigate the full counting statistics (FCS) of a harmonically confined
1d short-range Riesz gas consisting of $N$ particles in equilibrium at finite
temperature. The particles interact with each other through a repulsive
power-law interaction with an exponent $k>1$ which includes the Calogero-Moser
model for $k=2$. We examine the probability distribution of the number of
particles in a finite domain $[-W, W]$ called number distribution, denoted by
$\mathcal{N}(W, N)$. We analyze the probability distribution of $\mathcal{N}(W,
N)$ and show that it exhibits a large deviation form for large $N$
characterised by a speed $N^{\frac{3k+2}{k+2}}$ and by a large deviation
function of the fraction $c = \mathcal{N}(W, N)/N$ of the particles inside the
domain and $W$. We show that the density profiles that create the large
deviations display interesting shape transitions as one varies $c$ and $W$.
This is manifested by a third-order phase transition exhibited by the large
deviation function that has discontinuous third derivatives. Monte-Carlo (MC)
simulations show good agreement with our analytical expressions for the
corresponding density profiles. We find that the typical fluctuations of
$\mathcal{N}(W, N)$, obtained from our field theoretic calculations are
Gaussian distributed with a variance that scales as $N^{\nu_k}$, with $\nu_k =
(2-k)/(2+k)$. We also present some numerical findings on the mean and the
variance. Furthermore, we adapt our formalism to study the index distribution
(where the domain is semi-infinite $(-\infty, W])$, linear statistics (the
variance), thermodynamic pressure and bulk modulus.