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Laguerre Expansion for Nodal Volumes and Applications

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We investigate the nodal volume of random hyperspherical harmonics $\lbrace T_{\ell;d}\rbrace_{\ell\in \mathbb N}$ on the $d$-dimensional unit sphere ($d\ge 2$). We exploit an orthogonal expansion in terms of Laguerre polynomials; this representation entails a drastic reduction in the computational complexity and allows to prove \emph{isotropy} for chaotic components, an issue which was left open in the previous literature. As a further application, we establish our main result, i.e., variance bounds for the nodal volume in any dimension; for $d\ge 3$ and as the eigenvalues diverge (i.e., as $\ell\to +\infty$), we obtain the upper bound $O(\ell^{-(d-2)})$ (that we conjecture to be \emph{sharp}). As a consequence, we show that the so-called Berry's cancellation phenomenon holds in any dimension: namely, the nodal variance is one order of magnitude smaller than the variance of the volume of level sets at any non-zero threshold, in the high-energy limit.

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New chaos decomposition of Gaussian nodal volumes

math.PR · 2025-05-28 · conditional · novelty 6.0

A new circle-average chaos decomposition reduces nodal-volume variance computations to four-Hermite expectations and extends to non-homothetic Gaussian fields on any Riemannian manifold.

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  • New chaos decomposition of Gaussian nodal volumes math.PR · 2025-05-28 · conditional · none · ref 55 · internal anchor

    A new circle-average chaos decomposition reduces nodal-volume variance computations to four-Hermite expectations and extends to non-homothetic Gaussian fields on any Riemannian manifold.