Endpoint gradient regularity of the planar disk maximal operator
Status OpenLLM status Open unverified
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Definitions and mathematical statement
Statement recorded in the supplied source.
For the centered Hardy-Littlewood maximal operator M over Euclidean disks in $R^2$, does every real f in $W^{1,1}(R^2)$ have M f in $W_loc^{1,1}(R^2)$ and ||gradient M $f||_L1$ $<=$ C||gradient $f||_L1$ for one absolute C?Short English statement
For the centered Hardy-Littlewood maximal operator M over Euclidean disks in $R^2$, does every real f in $W^{1,1}(R^2)$ have M f in $W_loc^{1,1}(R^2)$ and ||gradient M $f||_L1$ $<=$ C||gradient $f||_L1$ for one absolute C?Sources
- S1 Original question source or mathematical context. https://arxiv.org/abs/1809.07200.
- S2 OpenAI, manuscript citation page. Source of the formulation motivating this local problem. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/An-Endpoint-Gradient-Bound-for-the-Centered-Disk-Maximal-Operator-September-26-2026/README.md.
Statement licence: CC-BY-4.0 · Source file
Contributions 1
OpenAI claim summary for Math-2942
Endpoint gradient of disk maxima: The primary statement says: For every real f in W11(R2), the centered disk maximal function belongs to Wloc11 and has L1 gradient at most an absolute constant times that of f. The target retains these quantified objects and hypotheses, so its positive assertion is covered.
With the hypotheses and conventions above, the claimed result addresses the whole mathematical assertion on this page.
Endpoint gradient regularity of the planar disk maximal operator
OpenAI's claim
Endpoint gradient of disk maxima: The paper claims that the centered disk maximal function of a real $W^{1,1}(\mathbb R^2)$ function has an integrable weak gradient controlled by the original gradient. Local Sobolev membership of the maximal output is also included.Mathematical statement of the claimed result
Mathematical claim 1.
For the centered disk maximal operator $Mf(x)=\sup_{r>0}(\pi r^2)^{-1}\int_{B(x,r)}|f(y)|\,dy$, every real $f\in W^{1,1}(\mathbb R^2)$ is claimed to satisfy $Mf\in W^{1,1}_{\mathrm{loc}}(\mathbb R^2)$ and \[\int_{\mathbb R^2}|\nabla Mf|\le C\int_{\mathbb R^2}|\nabla f|\] with an absolute constant. The distributional gradient is globally integrable; global $L^1$ integrability of $Mf$ is not claimed.Outline of the argument
Endpoint gradient of disk maxima: Scalar cancellation is arranged across dyadic cells using common nonnegative prices with a total variation budget. A different path measure represents vector gradient masses and charges changes of direction in both space and scale. Averaging over direction histories assembles the radius bands while canceling the differentiated weight terms.Formal verification
Family 085 describes Lean coverage for the centered-disk Sobolev gradient estimate, together with the earlier finite-band statement.Endpoint gradient of disk maxima: The manuscript links DiskMaximal.lean, SignedFiniteBand.lean (declaration OAI.SignedDisk.CenteredDiskEndpoint.main_signed_finite_band).
The documented selection does not cover the entire manuscript assertion relevant here.
This site has not run the Lean development. These links describe OpenAI’s selected formal statements and should be read with their stated scope.
Status caveat
OpenAI reports that an internal model produced the manuscripts. Their arguments have not been independently verified as proofs by this site. Any portion outside the documented formal scope may contain mistakes, and the catalogue label reports the announced mathematical claim.Sources
- OpenAI, An Endpoint Gradient Bound for the Centered Disk Maximal Operator, 2026-09-26; citation key
OAI:An-Endpoint-Gradient-Bound-for-the-Centered-Disk-Maximal-Operator-September-26-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 085: Lean scope.
- Comparator DiskMaximal.json.
- Comparator DiskMaximal.lean.
- Comparator SignedFiniteBand.json.
- Comparator SignedFiniteBand.lean.
- OpenAI catalogue entry.