pith:IFWQKZQK
Stochastic global optimization of continuous functions via random walks on Grassmannians
Random walks on Grassmannians converge to global minima of continuous functions at a rate set by a geometric gap parameter.
arxiv:2605.14151 v1 · 2026-05-13 · math.OC
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Record completeness
Claims
We identify a gap parameter -- an analogue of a spectral gap for random walks -- that controls the rate at which the iterates approach the global minimum value. Finally, we argue that the same analysis yields a blind-spot robustness property: sufficiently narrow, deep dips of the loss function have limited influence on the algorithm's trajectory.
The convergence analysis rests on the existence and positivity of the gap parameter defined from the geometric distribution of restricted minima across random k-dimensional subspaces; the abstract provides no explicit construction, bound, or verification procedure for this quantity on arbitrary continuous functions.
A stochastic global optimizer samples random k-dimensional subspaces, solves the restricted problem on each, and moves to the improved point, with rate controlled by a gap parameter on the distribution of restricted minima.
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Receipt and verification
| First computed | 2026-05-17T23:39:11.581846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
416d05660af718b1d604d8225b9df6b4232408790ee326942ec2974b2cdc90be
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IFWQKZQK64MLDVQE3ARFXHPWWQ \
| 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: 416d05660af718b1d604d8225b9df6b4232408790ee326942ec2974b2cdc90be
Canonical record JSON
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