openAI-math-dataset / lean /OAI /Geometry /CylinderCovering /Convexity /CompactSpectralBounds.lean
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Add lean source and binary files (part 67)
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import OAI.Geometry.RuledCovering.Main
namespace OAI
noncomputable section
open Set
namespace RuledApproximation
theorem compact_spectral_envelope {X : Type*} [TopologicalSpace X]
{D : Set X} (hD : IsCompact D) {A : X → Plane →L[ℝ] Plane}
(hA : ContinuousOn A D)
(htr : ∀ p ∈ D, LinearMap.trace ℝ Plane (A p).toLinearMap = 0)
(hdet : ∀ p ∈ D, LinearMap.det (A p).toLinearMap < 0) :
∃ m B : ℝ, 0 < m ∧ 0 < B ∧ ∀ p ∈ D,
m ≤ Real.sqrt (-LinearMap.det (A p).toLinearMap) ∧
Real.sqrt (-LinearMap.det (A p).toLinearMap) ≤ B ∧ ‖A p‖ ≤ B := by
by_cases hne : D.Nonempty
· have hlam : ContinuousOn (fun p => Real.sqrt (-LinearMap.det (A p).toLinearMap)) D :=
Real.continuous_sqrt.comp_continuousOn
(ContinuousLinearMap.continuous_det.comp_continuousOn hA).neg
obtain ⟨p, hp, hmin⟩ := hD.exists_isMinOn hne hlam
obtain ⟨B, hB⟩ := hD.exists_bound_of_continuousOn hA
refine ⟨Real.sqrt (-LinearMap.det (A p).toLinearMap), max 1 B,
Real.sqrt_pos.mpr (neg_pos.mpr (hdet p hp)), lt_of_lt_of_le zero_lt_one (le_max_left _ _), ?_⟩
intro q hq
refine ⟨hmin hq, ?_, (hB q hq).trans (le_max_right _ _)⟩
exact (eigenvalue_le_norm (A q) (Real.sqrt_nonneg _)
(plane_hyperbolic_eigenvalues (A q).toLinearMap (htr q hq) (hdet q hq)).1).trans
((hB q hq).trans (le_max_right _ _))
· refine ⟨1, 1, by norm_num, by norm_num, ?_⟩
intro p hp
exact (hne ⟨p, hp⟩).elim
end RuledApproximation
end
end OAI