Sharp upper bound for nodal length on smooth surfaces
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Theorem selected for verification:OAI.SharpNodal.Main
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Definitions needed to read it
Local definitions the statement names, followed through the definitions they name in turn. The match is by name in the source text, so a name reached only through notation can be missed; the full file is below.
deflaplaceBeltrami (u : M → ℝ) (x : M) : ℝ := (coordinateDensity x (chartAt Plane x x))⁻¹ * ∑ i : Fin 2, coordPartial (fun y => coordinateDensity x y * ∑ j : Fin 2, ((coordinateMetric x y)⁻¹ i j) * coordPartial (u ∘ (chartAt Plane x).symm) j y) i (chartAt Plane x x)
defMainStatement (M : Type*) [MetricSpace M] [ChartedSpace Plane M] [IsManifold 𝓘(ℝ, Plane) ∞ M] [RiemannianBundle (fun x : M => TangentSpace 𝓘(ℝ, Plane) x)] : Prop := ∃ C : ℝ, 0 ≤ C ∧ ∀ (lam : ℝ), 0 < lam → ∀ (u : M → ℝ), ContMDiff 𝓘(ℝ, Plane) 𝓘(ℝ) ∞ u → u ≠ 0 → (∀ x, -laplaceBeltrami u x = lam * u x) → nodalLength u ≤ ENNReal.ofReal (C * Real.sqrt lam)
Possible paper match, with no recorded review
Atlas selected this possible match by comparing words in the Lean statement with every statement in the family. No review of whether the statements mean the same thing is recorded.
Words of the Lean statement, its names split into words, that also appear in the theorem: laplace, hausdorff, connected, measure, sqrt, riemannian and real. Found in the paper’s title, which its main theorem states: length and nodal. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: surface, closed, eigenfunction, nonzero, lambda and constant.
Statements in Sharp nodal length on smooth surfaces come first because the release’s name for this Lean statement shares words with that paper’s title.
Theorem 1.1 of Sharp nodal length on smooth surfaces
Theorem
Let (M,g) be a closed connected C^\infty Riemannian surface. There is a finite constant C=C(M,g) such that every nonzero real Laplace eigenfunction satisfying
-\Delta_g u=\lambda u,\qquad \lambda>0,
obeys
\mathcal H_g^1(Z_u)\le C\sqrt\lambda.
Here \mathcal H_g^1 is Hausdorff measure for the Riemannian distance. The same constant applies to every eigenfunction in every positive eigenspace.
Let $(M,g)$ be a closed connected $C^\infty$ Riemannian surface.
There is a finite constant $C=C(M,g)$ such that every nonzero real
Laplace eigenfunction satisfying
\[
-\Delta_g u=\lambda u,\qquad \lambda>0,
\]
obeys
\[
\mathcal H_g^1(Z_u)\le C\sqrt\lambda.
\]
Here $\mathcal H_g^1$ is Hausdorff measure for the Riemannian distance.
The same constant applies to every eigenfunction in every positive
eigenspace.
Other possible paper matches, closest wording first
Proposition 2.5 of Sharp nodal length on smooth surfaces. Words of the Lean statement, its names split into words, that also appear in the theorem: connected, coordinate, riemannian and real. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: surface, closed, eigenfunctions, nonzero, constant and smooth.
Corollary 5.6 of Power-law violations of Yau’s nodal upper bound. Words of the Lean statement, its names split into words, that also appear in the theorem: manifold, connected, nodal, measure and riemannian. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: dimensional, closed, lambda and smooth.
Proposition 2.2 of Smooth counterexamples to Yau’s nodal upper bound in dimensions three and four. Words of the Lean statement, its names split into words, that also appear in the theorem: manifold, compact, coordinate, riemannian and metric. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: dimensional, one, constant and smooth.
Theorem 2.2 of Sharp nodal length on smooth surfaces. Words of the Lean statement, its names split into words, that also appear in the theorem: compact, measures and real. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: upper, one, bounds, constants and smooth.
Proposition 2.6 of Smooth counterexamples to Yau’s nodal upper bound in dimensions three and four. Words of the Lean statement, its names split into words, that also appear in the theorem: plane, coordinate, riemannian, metric and real. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: one, constants and smooth.
Theorem 5.5 of Sharp nodal length on smooth surfaces. Words of the Lean statement, its names split into words, that also appear in the theorem: length. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: eigenfunction, bounded and constant.
How Atlas selects possible matches: it compares words in the Lean statement with every statement in the family. It also splits Lean names into words. The release’s label and note receive less weight; a main theorem wins a close match. If the Lean wording yields no clear match, Atlas uses the catalogue description. This selects passages to compare; it does not establish that they mean the same thing.
Reported Comparator runs
two independent groups report that Comparator accepted runs for this Lean statement file: Carlos Toledo’s cert-machine; MathVet. Each group reports its own Comparator run for this statement file. Atlas has not repeated the runs.
For a configured theorem, Comparator tests whether OpenAI’s proof proves the exact Lean statement. Some files instead configure definitions for comparison by name and type. Acceptance does not establish that the statement means the same thing as the paper’s theorem.
Every Comparator challenge re-run on Linux with nanoda switched on, decided by a preregistered rule; every family’s challenge statements read against OpenAI’s headline, clause by clause. Decider: Comparator (leanprover/comparator d03acab1 = tag v4.34.0, built with the release’s toolchain v4.34.1), lean4export 076e8e57, landrun 811cfff5, nanoda_lib 3a240721 — on GitHub’s Linux runners (.github/workflows/openai-math-kernel.yml), one j…
AcceptedTheir term: “CERTIFIED”.
Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.
An independent, model-assisted, pre-referee reading of each family’s challenge statements against its headline claim under a published rubric (PROTOCOL.md), with its own Comparator runs per challenge. Its protocol describes a planned error-rate study; this import does not establish that the study has been completed.
AcceptedTheir term: “comparator-sandboxed-pass”.
Re-run through Comparator in a sandboxed virtual machine: accepted.
If Comparator is run under this configuration and accepts, the solution proves the configured theorem using only the allowed axioms, and the Lean kernel accepts every step.
This configuration lists no definition holes, so every definition the statement uses is compared as it is written in this file.
Acceptance leaves open whether the Lean statement means the same thing as the paper’s theorem, whether the paper’s other claims are correct, and whether the result is new. Those questions require comparing the definitions and statements, reviewing the paper’s arguments, and reading the earlier literature.
Do family 350’s Lean statements express the advertised result?
These assessments compare all the family’s Lean statements with the whole result OpenAI describes in its catalogue. They do not assess this statement alone. Each group uses its own published rules.
Neither group finds that the Lean statements express or imply the whole advertised result. They describe what the statements express in different terms.
Finds part of it stated, or a narrower or weaker statementTheir term: “partial”.
Only a special case is stated, or a co-equal headline claim has no challenge statement. Their record
Their note: NodalLength.Main is the headline: on every compact connected smooth Riemannian surface there is C with H¹(nodal set) ≤ C√λ for every nonzero smooth eigenfunction with -Δu = λu, λ > 0; sphere_three (every C^∞ neighbourhood of the round S³ metric contains a metric with unbounded nodal ratio) and sphere_two_torus_two give dimensions 3 and 4. For dimension five, YauCounterexample (S⁴×S¹) only gives H⁴(nodal)/√λ → ∞, not the summary's power-law growth λ^(1/2+ε₀), so that claim is only stated in a weaker form.
Definitions the group asks readers to compare with the paper: Laplace-Beltrami and nodal measures are hand-written: laplaceBeltrami (det(g)^(-1/2) ∂_i(det(g)^(1/2) g^{ij} ∂_j u) in the centre chart of each point), nodalMeasure = d-dimensional Hausdorff measure for EMetricSpace.ofRiemannianMetric; NodalLength uses a MetricSpace M instance tied to the Riemannian structure only through [IsRiemannianManifold] ; IsSmoothNeighborhood g₀ N (finitely many compact-chart C^k seminorm tests with one ε) as the C^∞ topology on metrics; IsRound as the pullback of the Euclidean inner product
Finds part of it stated, or a narrower or weaker statementTheir term: “NARROWER — UNDECLARED”.
The challenge statements state less than the headline, and OpenAI’s Lean note does not say so. Their record
Their note: The dimension-five power-law violation (nodal measure ≥ λ^{1/2+ε₀} along a sequence, for a fixed ε₀ > 0) is not stated; only nodal/√λ → ∞ is.
OpenAI’s own note on what this Lean statement covers
“The formalization proves the upper bound on every fixed smooth closed connected Riemannian surface: there is a surface-dependent constant $C$ such that the one-dimensional Hausdorff measure of the zero set of every nonzero real eigenfunction with $\lambda>0$ is at most $C\sqrt\lambda$. The known lower bound is not part of this selected statement.”
An AI agent drafted an interpretation of that note, classifying this statement as “states a paper’s theorem as the paper does”. No human review of the draft is recorded.
Supporting material
The complete Lean statement file
62 lines, copied from release version fd4aeeb. A name defined in this file links to its line; pointing at the name shows its definition.
Declared in this fileOpenAI’s library at fd4aeebOther linked names open the current documentation for Mathlib, Lean’s mathematical library.
Links in the file: 34 to its own declarations, 45 to Mathlib’s documentation. 9 declared names also link to the same declaration in OpenAI’s library. OpenAI uses Mathlib version d13f23b. The linked documentation describes the current version, so names that have since changed may be missing there.
Let (M,g) be a closed connected C^\infty Riemannian surface. There is a finite constant C=C(M,g) such that every nonzero real Laplace eigenfunction satisfying
-\Delta_g u=\lambda u,\qquad \lambda>0,
obeys
\mathcal H_g^1(Z_u)\le C\sqrt\lambda.
Here \mathcal H_g^1 is Hausdorff measure for the Riemannian distance. The same constant applies to every eigenfunction in every positive eigenspace.
Let $(M,g)$ be a closed connected $C^\infty$ Riemannian surface.
There is a finite constant $C=C(M,g)$ such that every nonzero real
Laplace eigenfunction satisfying
\[
-\Delta_g u=\lambda u,\qquad \lambda>0,
\]
obeys
\[
\mathcal H_g^1(Z_u)\le C\sqrt\lambda.
\]
Here $\mathcal H_g^1$ is Hausdorff measure for the Riemannian distance.
The same constant applies to every eigenfunction in every positive
eigenspace.
Let g_* be the round metric on \Sph^3. Every neighborhood of g_* in the C^\infty topology contains a smooth Riemannian metric g_\infty for which there are nonzero smooth real functions u_j and positive numbers \lambda_j satisfying
Let $g_*$ be the round metric on $\Sph^3$. Every neighborhood of $g_*$ in
the $C^\infty$ topology contains a smooth Riemannian metric $g_\infty$ for
which there are nonzero smooth real functions $u_j$ and positive numbers
$\lambda_j$ satisfying
\[
-\Delta_{g_\infty}u_j=\lambda_j u_j,\qquad
\lambda_j\longrightarrow\infty,\qquad
\frac{\HH^2_{g_\infty}(Z_{u_j})}{\sqrt{\lambda_j}}
\longrightarrow\infty.
\]
Theorem
There are a smooth Riemannian metric g_\infty on S^2\times\T^2, nonzero smooth real functions u_j, and positive numbers \lambda_j\to\infty such that
There are a smooth Riemannian metric $g_\infty$ on $S^2\times\T^2$,
nonzero smooth real functions $u_j$, and positive numbers
$\lambda_j\to\infty$ such that
\[
-\Delta_{g_\infty}u_j=\lambda_j u_j,\qquad
\frac{\cH^3_{g_\infty}(Z_{u_j})}{\sqrt{\lambda_j}}
\longrightarrow\infty.
\]
There exist a smooth Riemannian metric g on S^4\times S^1, a number \epsilon_0>0, and nonzero real smooth functions u_j with positive eigenvalues \lambda_j such that
There exist a smooth Riemannian metric $g$ on $S^4\times S^1$, a number
$\epsilon_0>0$, and nonzero real smooth functions $u_j$ with positive
eigenvalues $\lambda_j$ such that
\[
-\Delta_g u_j=\lambda_j u_j,\qquad
\lambda_j\longrightarrow\infty,\qquad
\frac{\Hh_g^4(\Z(u_j))}
{\lambda_j^{1/2+\epsilon_0}}\longrightarrow\infty.
\]
The metric and $\epsilon_0$ are fixed throughout the sequence.
OpenAI’s Lean catalogue does not list this as a main result; the release’s Lean notes for family 350 link it.
Solution module
OAI.Analysis.NodalLength.Main
Allowed axioms
propext, Quot.sound, Classical.choiceThe axioms this configuration allows a proof to use. A replay shows which of them a proof uses.
Imports
Mathlib
Imports from outside Mathlib
None
Local vocabulary
8 local vocabulary declarations
Lines of Lean, without comments or blank lines
35
Second proof-verification program (nanoda)
Off in OpenAI's configuration.
Statement comparison
A shareable summary of this page: the proposed paper match, what the Lean statement expresses, and which reviews are recorded.
Plectis Atlas
Sharp upper bound for nodal length on smooth surfaces
Family 350: Yau’s nodal bounds: surfaces and higher dimensions
Candidate pairing
Theorem
Let (M,g) be a closed connected C^\infty Riemannian surface. There is a finite constant C=C(M,g) such that every nonzero real Laplace eigenfunction satisfying
-\Delta_g u=\lambda u,\qquad \lambda>0,
obeys
\mathcal H_g^1(Z_u)\le C\sqrt\lambda.
Here \mathcal H_g^1 is Hausdorff measure for the Riemannian distance. The same constant applies to every eigenfunction in every positive eigenspace.
Sharp nodal length on smooth surfaces
TeX label thm:main, build/introduction.tex, line 7
A Lean statement states the theorem and leaves its proof as sorry on purpose. OpenAI’s proof is in a separate solution module, and a program called Comparator checks that proof against this statement.
Recorded comparisons with the paper
Atlas records no contributed comparison of this statement with the paper.
Contributed Comparator run reports
Atlas records no contributed report of running Comparator for this statement file.
Questions to resolve when comparing this statement with the paper
Both independent readers find this family's challenges state less than its headline, while the atlas's AI draft classes this file as stating a paper's theorem as the paper does; check which part of the headline it covers.