束缚中 1d 短程里兹气体的全计数统计

Jitendra Kethepalli, Manas Kulkarni, Anupam Kundu, Satya N. Majumdar, David Mukamel, Grégory Schehr
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引用次数: 0

摘要

我们研究了由在有限温度下处于平衡状态的 $N$ 粒子组成的谐约束 1d 短程里兹气体的全计数统计(FCS)。粒子通过指数为 k>1$ 的斥力定律相互作用相互影响,其中包括 k=2$ 的卡洛吉罗-摩斯模型。我们研究了有限域$[-W, W]$中粒子数量的概率分布,称为数量分布,用$mathcal{N}(W, N)$表示。我们分析了$\mathcal{N}(W,N)$的概率分布,并证明它在大$N$时表现出大偏差形式,其特征是速度$N^{frac{3k+2}{k+2}}$和域内粒子的分数$c = \mathcal{N}(W,N)/N$与$W$的大偏差函数。我们的研究表明,当改变 $c$ 和 $W$ 时,产生大偏差的密度剖面会出现有趣的形状转变,这表现为具有不连续三次导数的大偏差函数所呈现的三阶相变。蒙特卡洛(MC)模拟结果表明,我们的相应密度曲线分析表达式与之非常吻合。我们发现,从我们的场论计算中得到的$mathcal{N}(W, N)$ 的典型波动是高斯分布的,其方差与$N^\{nu_k}$成比例关系,其中$\nu_k = (2-k)/(2+k)$ 。我们还给出了一些关于均值和方差的数值结果。此外,我们还调整了我们的形式主义,以研究指数分布(其中域为半无限 $(-\infty,W])$、线性统计(方差)、热力学压力和体积模量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full counting statistics of 1d short-range Riesz gases in confinement
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.
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