Table of Contents
Fetching ...

A central limit theorem for Hilbert modular forms

Jishu Das, Neha Prabhu

TL;DR

This work proves a central limit theorem for the distribution of Satake-angle parameters $\theta_\pi(\mathfrak{p})$ arising from Hilbert modular cusp forms, by averaging over the finite family $\Pi_{\underline{k}}(\mathfrak{n})$ with squarefree level and suitably growing weights. The authors combine Beurling–Selberg approximations, Chebyshev polynomial expansions, and an Arthur/Lau–Li–Wang trace formula to analyze the fluctuations of the Sato–Tate counting function $N_I(\pi,x)$ around its mean $\pi_L(x)\mu_\infty(I)$, deriving precise moment asymptotics. The main result shows that the normalized error converges in distribution to a Gaussian with variance $\pi_L(x)(\mu_\infty(I)-\mu_\infty(I)^2)$, under growth conditions on $\underline{k}$; a higher-moments analysis confirms the Gaussian limit, and a smooth-test-function variant relaxes these growth assumptions. The findings extend probabilistic understandings of eigenvalue statistics from classical modular forms to the Hilbert modular setting and provide a framework for smooth generalizations with weaker weight-growth requirements.

Abstract

For a prime ideal $\mathfrak{p}$ in a totally real number field $L$ with the adele ring $\mathbb{A}$, we study the distribution of angles $θ_π(\mathfrak{p})$ coming from Satake parameters corresponding to unramified $π_\mathfrak{p}$ where $π_\mathfrak{p}$ comes from a global $π$ ranging over a certain finite set $Π_{\underline{k}}(\mathfrak{n})$ of cuspidal automorphic representations of GL$_2(\mathbb{A})$ with trivial central character. For such a representation $π$, it is known that the angles $θ_π(\mathfrak{p})$ follow the Sato-Tate distribution. Fixing an interval $I\subseteq [0,π]$, we prove a central limit theorem for the number of angles $θ_π(\mathfrak{p})$ that lie in $I$, as $\mathrm{N}(\mathfrak{p})\to\infty$. The result assumes $\mathfrak{n}$ to be a squarefree integral ideal, and that the components in the weight vector $\underline{k}$ grow suitably fast as a function of $x$.

A central limit theorem for Hilbert modular forms

TL;DR

This work proves a central limit theorem for the distribution of Satake-angle parameters arising from Hilbert modular cusp forms, by averaging over the finite family with squarefree level and suitably growing weights. The authors combine Beurling–Selberg approximations, Chebyshev polynomial expansions, and an Arthur/Lau–Li–Wang trace formula to analyze the fluctuations of the Sato–Tate counting function around its mean , deriving precise moment asymptotics. The main result shows that the normalized error converges in distribution to a Gaussian with variance , under growth conditions on ; a higher-moments analysis confirms the Gaussian limit, and a smooth-test-function variant relaxes these growth assumptions. The findings extend probabilistic understandings of eigenvalue statistics from classical modular forms to the Hilbert modular setting and provide a framework for smooth generalizations with weaker weight-growth requirements.

Abstract

For a prime ideal in a totally real number field with the adele ring , we study the distribution of angles coming from Satake parameters corresponding to unramified where comes from a global ranging over a certain finite set of cuspidal automorphic representations of GL with trivial central character. For such a representation , it is known that the angles follow the Sato-Tate distribution. Fixing an interval , we prove a central limit theorem for the number of angles that lie in , as . The result assumes to be a squarefree integral ideal, and that the components in the weight vector grow suitably fast as a function of .
Paper Structure (9 sections, 12 theorems, 79 equations)

This paper contains 9 sections, 12 theorems, 79 equations.

Key Result

Theorem 1.1

Consider a family $\Pi_{\underline{k}}(\mathfrak{n})$ for fixed squarefree level $\mathfrak{n}$ and even weights $\underline{k} =\underline{k}(x)$ such that $\frac{\sum_{i=1}^d \log k_i}{\sqrt{x}\log x}\to \infty$ as $x\to\infty$. Fix an interval $I \subseteq [0,\pi]$. Then for any continuous real-v

Theorems & Definitions (18)

  • Theorem 1.1
  • Proposition 2.1: BB-KS, Proposition 18
  • Remark
  • Lemma 2.1
  • proof
  • Lemma 2.2: RT2017
  • Proposition 2.2
  • proof
  • Proposition 3.1
  • Theorem 4.1
  • ...and 8 more