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pith:TH6UZUYX

pith:2026:TH6UZUYXS6R5JI4I2ICMMMPKPY
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Almost-sharp $O(k^{-1} \log k)$ convergence rate for the Sinkhorn algorithm in the asymptotically scalable case

Guillaume Wang

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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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

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.

C2weakest assumption

The analysis requires the problem to be in the asymptotically scalable case, whose precise definition and verification conditions are not detailed in the abstract.

C3one line summary

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.

Formal links

2 machine-checked theorem links

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

Aliases

arxiv: 2604.26265 · arxiv_version: 2604.26265v3 · doi: 10.48550/arxiv.2604.26265 · pith_short_12: TH6UZUYXS6R5 · pith_short_16: TH6UZUYXS6R5JI4I · pith_short_8: TH6UZUYX
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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
{
  "metadata": {
    "abstract_canon_sha256": "c21083ce87169f1c07174107917e1032fbeb439bae7345321bbccf896c231d70",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2026-04-29T03:48:58Z",
    "title_canon_sha256": "e49e128194bfaeade319541a85f4cdb338aa413fd56792cfab87a8851af9100e"
  },
  "schema_version": "1.0",
  "source": {
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    "kind": "arxiv",
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}