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Coordinate derivative bounds for the flow height

Proved
OAI.SmoothLocal.Flow.capFlowHeight_coordinate_bound

by wurtle · Nov 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

differential-geometryisometric-immersion

Notation. S=[−3,3]2S=[-3,3]^2S=[−3,3]2 is the model square; a metric is a smooth positive matrix field ggg; zzz is a scalar height; H=∇g2zH=\nabla_g^2zH=∇g2​z is its covariant Hessian; KgK_gKg​ is the Gaussian curvature; E=det⁡g (1−∣dz∣g2)E=\det g\,(1-|dz|_g^2)E=detg(1−∣dz∣g2​); q=Hxy/Hyyq=H_{xy}/H_{yy}q=Hxy​/Hyy​ is the Hessian quotient; κ(x2−h(y))\kappa(x^2-h(y))κ(x2−h(y)) is the model curvature; the patch box and the central box are the squares [−1/10,1/10]2[-1/10,1/10]^2[−1/10,1/10]2 and [−1/5,1/5]2[-1/5,1/5]^2[−1/5,1/5]2; the sheared coordinates are ξ=x, θ=y+q0x\xi=x,\ \theta=y+q_0xξ=x, θ=y+q0​x, with sheared height zsz_szs​; LLL and v∗v_*v∗​ are the class width and speed of (4.2); g~τ\tilde g_\taug~​τ​ is the test metric (4.12) built from g∗g_*g∗​; a bounded admissible height of bound MMM is an admissible height with (4.1).

Let qqq be smooth on an open U⊇SU\supseteq SU⊇S with ∣q∣≤1/100|q|\le1/100∣q∣≤1/100 on SSS and with M≥0M\ge0M≥0 bounding its coordinate derivatives on SSS through the order fixed in the hypotheses. Let YYY be a continuous flow on [−2,2]2[-2,2]^2[−2,2]2 with values in [−3,3][-3,3][−3,3], Y(s,0)=sY(s,0)=sY(s,0)=s and ∂tY(s,t)=−q(t,Y(s,t))\partial_tY(s,t)=-q(t,Y(s,t))∂t​Y(s,t)=−q(t,Y(s,t)). Then the flow height (t,s)↦Y(s,t)(t,s)\mapsto Y(s,t)(t,s)↦Y(s,t) has all coordinate derivatives of order at most 333 on the chart domain bounded by the explicit constant

flowCoordinateBound(M),\mathrm{flowCoordinateBound}(M),flowCoordinateBound(M),

which is a polynomial in MMM and e2M,e4M,e6Me^{2M},e^{4M},e^{6M}e2M,e4M,e6M. This gives the low-order chart bounds used throughout Section 3.

Formalization Note. This is the upstream Lean declaration OAI.SmoothLocal.Flow.capFlowHeight_coordinate_bound in lean/OAI/Geometry/IsometricImmersion/Caps/CapFlowJetBounds.lean, stated verbatim; the Lean statement is authoritative for the precise hypotheses. It is an intermediate result of OpenAI's formalization.

Preamble
import Mathlib
import Definitions.Def_IsometricImmersion
import Definitions.Def_SmoothLocalIsometricSupport

namespace OAI

noncomputable section
open Set Filter Function
open scoped ContDiff Topology

namespace SmoothLocal.Flow
open SmoothLocal.Geometry SmoothLocal.ODE SmoothLocal.Weighted

section ActualFlow
variable {q : Coord → ℝ} {U : Set Coord} {Y : ℝ → ℝ → ℝ} {M : ℝ}
variable (hq : ContDiffOn ℝ ∞ q U) (hU : IsOpen U) (hSU : modelSquare ⊆ U)
variable (hY : ContinuousOn (uncurry Y) (Icc (-2 : ℝ) 2 ×ˢ Icc (-2 : ℝ) 2))
variable (hrange : ∀ s ∈ Icc (-2 : ℝ) 2, ∀ t ∈ Icc (-2 : ℝ) 2, Y s t ∈ Icc (-3 : ℝ) 3)
variable (hstart : ∀ s ∈ Icc (-2 : ℝ) 2, Y s 0 = s)
variable (hode : ∀ s ∈ Icc (-2 : ℝ) 2, ∀ t ∈ Icc (-2 : ℝ) 2,
  HasDerivWithinAt (Y s) (-q (coordinatePoint t (Y s t))) (Icc (-2 : ℝ) 2) t)
variable (hM : 0 ≤ M)
variable (hq0 : ∀ p ∈ modelSquare, |q p| ≤ (1 : ℝ) / 100)
variable (hq1 : ∀ i : Fin 2, ∀ p ∈ modelSquare, |coordPartial i q p| ≤ M)
variable (hq2 : ∀ i j : Fin 2, ∀ p ∈ modelSquare, |coordPartial i (coordPartial j q) p| ≤ M)
variable (hq3 : ∀ i j k : Fin 2, ∀ p ∈ modelSquare, |coordPartial i (coordPartial j (coordPartial k q)) p| ≤ M)
include hq hU hSU hY hrange hstart hode hM hq0 hq1 hq2 hq3

Formal statement
theorem capFlowHeight_coordinate_bound :
    CoordinateBound (capFlowHeight Y) capChartDomain 3 (flowCoordinateBound M) := by
  sorry

end ActualFlow
end SmoothLocal.Flow
end
end OAI
Source
OpenAI, A Smooth Metric with No Local Isometric Immersion into Three-Space, September 24, 2026, https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Smooth-Metric-with-No-Local-Isometric-Immersion-into-Three-Space-September-24-2026/paper.pdf; Lean: openai/math at adc7f1241b42e322a6451854ab7e4b4c146bf78a, lean/OAI/Geometry/IsometricImmersion/ (Apache License 2.0), file lean/OAI/Geometry/IsometricImmersion/Caps/CapFlowJetBounds.lean; Section 3, the bounds after (3.4)

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