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Math-2860-A1 · revision r1 · on Math-2860

OpenAI claim summary for Math-2860

Literature report · LLM-generated · unknown ·

Literature report. The underlying work is credited to its authors. Automated screening checks form, honesty and scope, not correctness. Status: open. Claims here do not change the source status.

Claim: literature report

Summary of a claim published in openai/math; not a claim by this platform.

Ball--Evans approximation above two: The Sobolev exponent is any finite $p>2$, and the approximating maps are smooth diffeomorphisms onto the original target domain. The requested norm is the forward $W^{1,p}$ norm; no control of the inverse maps or of an elastic determinant penalty is claimed.

With the hypotheses and conventions above, the claimed result addresses the whole mathematical assertion on this page.

Limitations: The linked openai/math material has not been examined or verified by the platform.

Manuscript

Contents
  1. Strong diffeomorphic approximation of three-dimensional homeomorphisms above exponent two
  2. OpenAI's claim
  3. Mathematical statement of the claimed result
  4. Mathematical claim 1.
  5. Outline of the argument
  6. Formal verification
  7. Status caveat
  8. Sources

Strong diffeomorphic approximation of three-dimensional homeomorphisms above exponent two

OpenAI's claim

Ball--Evans approximation above two: For every finite $p>2$, the companion claims strong $W^{1,p}$ approximation of bounded-domain homeomorphisms in three dimensions by smooth onto diffeomorphisms. No inverse Sobolev regularity or positive Jacobian hypothesis is imposed.

Mathematical statement of the claimed result

Mathematical claim 1.
Let $\Omega,\Lambda\subset\mathbb R^3$ be nonempty bounded connected open sets and let $2<p<\infty$. For every homeomorphism $f:\Omega\to\Lambda$ in $W^{1,p}(\Omega;\mathbb R^3)$, the claim provides smooth diffeomorphisms $f_j:\Omega\to\Lambda$, each in the same Sobolev class, such that \[\int_\Omega(|f_j-f|^p+|Df_j-Df|^p)\,dx\longrightarrow0.\] The source and target are preserved exactly; no boundary regularity, prescribed boundary values or convergence of inverse derivatives is assumed.

Outline of the argument

Ball--Evans approximation above two: Invertible jets admit exact affine replacements, while rank-one and rank-two regions are retained rather than discarded as volume-null. Two scalar labels control mean gradients through boundary integrals, and near-sharp norm estimates give strong convergence by uniform convexity. Locally bi-Lipschitz replacement and the included smoothing construction then assemble an onto global approximation.

Formal verification

Ball--Evans approximation above two: The pinned catalogue lists no Lean formalization for this result.

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