pith:TH6UZUYX
Almost-sharp $O(k^{-1} \log k)$ convergence rate for the Sinkhorn algorithm in the asymptotically scalable case
The Sinkhorn algorithm converges at an O(k^{-1} log k) rate in ell_1 marginal error under the asymptotically scalable condition.
arxiv:2604.26265 v3 · 2026-04-29 · math.OC
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Claims
We prove that the Sinkhorn algorithm converges at a rate of O(k^{-1} log k) in ℓ1-norm marginal error, in the asymptotically scalable case.
The analysis requires the problem to be in the asymptotically scalable case, whose precise definition and verification conditions are not detailed in the abstract.
Sinkhorn algorithm converges at O(k^{-1} log k) rate in l1-norm marginal error for asymptotically scalable instances, nearly matching the Omega(k^{-1}) lower bound.
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Receipt and verification
| First computed | 2026-06-30T01:17:38.782775Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
99fd4cd31797a3d4a388d204c631ea7e1cf55cc9395ec1db724c55ad653df7f9
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TH6UZUYXS6R5JI4I2ICMMMPKPY \
| 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: 99fd4cd31797a3d4a388d204c631ea7e1cf55cc9395ec1db724c55ad653df7f9
Canonical record JSON
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