Exact Geometric Typicality and Bipartite Entanglement from the Projected Central Limit Theorem on Hyperspheres
Abstract
Starting from the exact Projected Central Limit Theorem on hyperspheres, we rederive the Beta distribution for subsystem occupation probabilities and Lubkin's purity formula from elementary hyperspherical moments, quantifying the finite-size ``platykurtic'' suppression of tails relative to the Gaussian approximation used in standard eigenstate-thermalization and typicality treatments. Our main new result concerns the bipartite quantum mutual information for Haar-random pure states. We show that its full asymptotic expansion in admits a Bernoulli-factorized form in which every order carries the symmetric factor and all higher odd-order corrections vanish identically. Through an exact algebraic reorganization of Page's formula (conjectured in Ref.~\cite{Page1993} and subsequently proven~\cite{Foong1994, SanchezRuiz1995, Sen1996}), we establish that the leading finite-size correction separates into a dominant bipartite quantum coherence contribution and a subtracted classical-probability (Cartan Cartan) contribution , and we trace this separation to the difference between diagonal and eigenvalue entropies via Schur's majorisation theorem, with the dimensional counts and acquiring meaning through the Cartan structure of the generalised Bloch decomposition. These results admit a single non-perturbative closed form: the exact typical mutual information factors as , with given by an explicit Bose--Einstein integral whose asymptotic expansion in reproduces the Bernoulli series.
Comments: 11 pages, 1 figure. This is a companion paper to our simultaneous submission with a title "Non-Perturbative Closed Form for the Typical Bipartite Mutual Information of Haar-Random States"
Cite
@article{arxiv.2605.29732,
title = {Exact Geometric Typicality and Bipartite Entanglement from the Projected Central Limit Theorem on Hyperspheres},
author = {Zhi-Wei Wang and Pei-Wen Li and Samuel L. Braunstein},
journal= {arXiv preprint arXiv:2605.29732},
year = {2026}
}