pith:DBJEK7WB
Sign-balance of random Laplace eigenfunctions
Random Laplace eigenfunctions are sign-balanced above a precisely determined scale with almost full probability.
arxiv:2604.22567 v2 · 2026-04-24 · math.PR · math-ph · math.MP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DBJEK7WBDHKLY6NERG5HBHNCPC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
random eigenfunctions are sign-balanced above a precisely determined scale with almost full probability. The scale is proven to be optimal up to a logarithmic power of the energy.
The random eigenfunctions are modeled as centered Gaussian fields with covariance given by the spectral projector onto a narrow energy window; the strong notion of sign-balance is the appropriate one for capturing small-scale distribution.
Random eigenfunctions of the Laplace operator are sign-balanced above a precisely determined scale (optimal up to log factors of the energy) with almost full probability.
Receipt and verification
| First computed | 2026-05-22T01:04:03.077246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1852457ec119d4bc79a489ba709da278b8333e3bf58d0348ab37cde9d4bc40ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DBJEK7WBDHKLY6NERG5HBHNCPC \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1852457ec119d4bc79a489ba709da278b8333e3bf58d0348ab37cde9d4bc40ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a182ab0bb86d7758c43b429f830cdc03638d72a1e3e4cf26c30ea9097a960279",
"cross_cats_sorted": [
"math-ph",
"math.MP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.PR",
"submitted_at": "2026-04-24T13:58:38Z",
"title_canon_sha256": "f42eccf0295095e927d0b90c30dbeba5a837d7347e0007f8bad398ab613c6583"
},
"schema_version": "1.0",
"source": {
"id": "2604.22567",
"kind": "arxiv",
"version": 2
}
}