pith:FWMC6HOQ
Revisiting CUR Perturbation Analysis: A Local Tangent-Space Expansion
The Fréchet derivative of the rank-truncated CUR map is a sampling-induced oblique tangent-space projector that filters certain perturbations to first order.
arxiv:2605.13437 v1 · 2026-05-13 · math.NA · cs.IT · cs.NA · math.IT
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Claims
We show that the Fréchet derivative of the rank-truncated CUR map is a sampling-induced oblique tangent-space projector determined by the selected rows and columns. Consequently, the local recovery error for an underlying low-rank matrix is governed not by the full perturbation norm alone, but by the image of the perturbation under this sampling-induced tangent projector.
The underlying matrix lies near an admissible rank-r matrix with fixed selected indices, so that the rank-truncated CUR map is Fréchet differentiable at that point.
The Fréchet derivative of rank-truncated CUR is a sampling-induced oblique tangent projector, so perturbations in its kernel are removed to first order.
References
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| First computed | 2026-05-18T02:44:47.087284Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FWMC6HOQYJM6MK3GAERAXDOZRY \
| 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())"
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Canonical record JSON
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