Pith. sign in

REVIEW 1 cited by

Diophantine Gaussian excursions and random walks

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2104.07290 v4 pith:QTTMFTHG submitted 2021-04-15 math.PR

classification math.PR
keywords varianceatomsexcursionsapproximablediophantinefunctiongaussianmeasure
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We investigate the asymptotic variance of Gaussian nodal excursions in the Euclidean space, focusing on the case where the spectral measure has incommensurable atoms. This study requires to establish fine recurrence properties in 0 for the associated irrational random walk on the torus. We show in particular that the recurrence magnitude depends strongly on the diophantine properties of the atoms, and the same goes for the variance asymptotics of nodal excursions. More specifically, if the spectral measures contains atoms which ratios are well approximable by rationals, the variance is likely to have large fluctuations as the observation window grows, whereas the variance is bounded by the (d -- 1)-dimensional measure of the window boundary if these ratio are badly approximable. We also show that, given any reasonable function, there are uncountably many sets of parameters for which the variance is asymptotically equivalent to this function.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Hyperuniform random measures, transport and rigidity

    math.PR 2025-10 conditional novelty 2.0 of 10

    A lecture-note survey unifying the spectral, transport, and rigidity sides of hyperuniform random measures, with worked proofs for emblematic models such as the Ginibre ensemble, Sine-β processes, and Gaussian analyti...

Pith tools