pith:L7VCRMSK
Greedy sparsifications of sums of positive semidefinite matrices
There exists a deterministic sequence of positive semidefinite matrices whose partial averages converge to the identity with explicit error bounds in operator norm.
arxiv:2604.06439 v2 · 2026-04-07 · math.FA
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\pithnumber{L7VCRMSKICK5D2PUJPG2KHAP25}
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Record completeness
Claims
We show that there exists a deterministic sequence of indices i1,i2,… such that for every integer k≥1, ||(1/k) sum_{r=1}^k A_{ir} - I_d|| ≤ 2M ln(2d)/k if k ≤ M ln(2d), and ≤ 3 sqrt(M ln(2d)/k) otherwise.
The result assumes there exist lambda_i ≥0 summing to 1 with sum lambda_i A_i = I_d and ||A_i||≤M for all i; if no such convex combination exists, the theorem gives no information. The proof must also construct or guarantee the sequence under only these hypotheses.
There exists a deterministic sequence of the given PSD matrices such that the k-term average deviates from the identity by at most 2M ln(2d)/k when k is small and 3 sqrt(M ln(2d)/k) when k is large, enabling epsilon-approximations with N = O(M log d / eps^2) terms.
Formal links
Receipt and verification
| First computed | 2026-05-22T01:04:01.627509Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fea28b24a4095d1e9f44bcda51c0fd7595ed6c1668d57560b66d4a6f4882e76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7VCRMSKICK5D2PUJPG2KHAP25 \
| 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: 5fea28b24a4095d1e9f44bcda51c0fd7595ed6c1668d57560b66d4a6f4882e76
Canonical record JSON
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"submitted_at": "2026-04-07T20:28:22Z",
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