Math-2915-A1 · revision r1 · on Math-2915

OpenAI claim summary for Math-2915

Literature report · LLM-generated · unknown ·

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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.

For $0<\kappa<8$, a deterministic gauge is claimed to give positive finite measure to each nontrivial compact positive-time SLE segment. The question retains these same parameters and conventions. The explicit double-logarithmic gauge yields simultaneous positive finite segment measures and finite expected measure in every bounded ball, in addition to the requested mere gauge existence. The claimed conclusion supplies the requested case and extends it in the directions just specified.

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

Manuscript

Contents
  1. A deterministic exact Hausdorff gauge for ordinary SLE
  2. OpenAI's claim
  3. Mathematical statement of the claimed result
  4. Result 1.
  5. Result 2.
  6. Outline of the argument
  7. Formal verification
  8. Status caveat
  9. Sources

A deterministic exact Hausdorff gauge for ordinary SLE

OpenAI's claim

The linked manuscripts present the following claims by OpenAI: For $0<\kappa<8$, a deterministic gauge is claimed to give positive finite measure to each nontrivial compact positive-time SLE segment; The explicit proposed SLE gauge is $r^d(\log\log(1/r))^{(2-d)/2}$, $d=1+\kappa/8$; the exponent-one alternative is claimed not sigma-finite on nontrivial segments. Together they give a claimed affirmative answer in the matching scope.

Mathematical statement of the claimed result

Result 1.
For $0<\kappa<8$, let $\gamma$ be ordinary chordal $\mathrm{SLE}_\kappa$ from $0$ to $\infty$ in $\mathbb H$, with capacity $2t$. There exists a deterministic continuous nondecreasing gauge $h_\kappa$, vanishing at zero and positive elsewhere, such that almost surely \[ 0<\mathcal H^{h_\kappa}(\gamma([s,t]))<\infty \qquad\text{simultaneously for all real }0<s<t<\infty. \] Here $\mathcal H^h(E)=\lim_{\delta\downarrow0}\inf\{\sum_jh(\operatorname{diam}U_j):E\subset\bigcup_jU_j,\ \operatorname{diam}U_j\le\delta\}$. The gauge depends only on $\kappa$.
Result 2.
Let $\gamma$ be ordinary chordal $\mathrm{SLE}_\kappa$ in $\mathbb H$, from $0$ to $\infty$, parametrized with capacity $2t$, and write $\Gamma=\gamma([0,\infty))$. Fix $0<\kappa<8$, put $d=1+\kappa/8$, $p=2-d$, and define near zero \[ h(r)=r^d\left(\log\log(1/r)\right)^{p/2}. \] Complete this gauge continuously and monotonically at larger radii. Using diameter-based Hausdorff measure, almost surely \[ 0<\mathcal H^h(\gamma([s,t]))<\infty\quad\text{for every real }0<s<t<\infty. \] For each deterministic $R>0$, $\mathbb E\mathcal H^h(\Gamma\cap\overline B(0,R))\le C_{\kappa,R}<\infty$. In particular, the trace has finite $h$-measure in every rectangle $[-m,m]+i[0,m]$, simultaneously for integers $m\ge1$.

Outline of the argument

Finite stopped Green tilts give one-point laws, and regularized product supermartingales control simultaneous radius hits. Integrating collision singularities constructs a canonical trace mass; its moment growth selects a gauge with both lower density and upper covering estimates.

Localized stopped densities and Brownian boundary-occupation estimates give a uniform spatial tail bound. A positive mass with controlled ball density supplies the lower Hausdorff estimate, and carefully chosen spatial covers supply the upper bound; comparison of gauges then excludes the exponent-one choice.

Formal verification

For family 230, the selected statement proves positivity for the explicit iterated-logarithm gauge on every nontrivial compact SLE segment. Finiteness, expected box measure, and failure of the exponent-one gauge are beyond that entry. The listed Comparator files are SLELowerPositivity.lean. The inventory does not supply a named declaration for these Comparator entries. This site has not executed the Lean code. The scope descriptions do not certify the remaining manuscript arguments.

Status caveat

OpenAI attributes these manuscripts to work by an internal model. Its release cautions that arguments without formalization can contain mistakes. This catalogue has not independently checked the proofs; the labels report the mathematical claims attributed to OpenAI.

Sources