pith:JFDIEY6W
Set-indexed and multiple sums in high dimensions
Sets of values from multiple and set-indexed sums of random vectors converge in probability to a generalized Wiener spiral when viewed as metric spaces in growing dimensions.
arxiv:2605.15783 v1 · 2026-05-15 · math.PR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JFDIEY6WCT4QHEIGR4PYU4SFQK}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
It is shown that, when viewed as finite metric spaces, the sets of values of such sums converge in probability. The limit is identified as a generalisation of the Wiener spiral, which appears as the high-dimensional limit of single-index sums.
The random vectors are assumed to satisfy conditions that allow the high-dimensional limit to exist and be identified with the generalized Wiener spiral (implicit in the statement that the limit is identified).
Sets of values of multiple and set-indexed sums of random vectors converge in probability to a generalization of the Wiener spiral as dimension grows.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:01:18.049788Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49468263d614f90391068f1f8a724582ab2967205c2d771b0140ac7f66c48c00
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JFDIEY6WCT4QHEIGR4PYU4SFQK \
| 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: 49468263d614f90391068f1f8a724582ab2967205c2d771b0140ac7f66c48c00
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1cd4516c8c909870595071c65b024a96f60a670932de65e62cf2d045c8315305",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.PR",
"submitted_at": "2026-05-15T09:42:26Z",
"title_canon_sha256": "7121a3d6a987822e3b3a660e2c43494194da4d1c281c99c3ca6f772db7fbb249"
},
"schema_version": "1.0",
"source": {
"id": "2605.15783",
"kind": "arxiv",
"version": 1
}
}