Pull back real-slice measure through the original frequency chart, using real Jacobians.
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.inverse_real
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{x : RealSpace n}
(hx : complexify x ∈ Ω)
:
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.realSlice_inverse_image
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{S : Set (ComplexSpace n)}
(hS : S ⊆ Ω)
:
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.inverse_realVolume_le
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{S : Set (ComplexSpace n)}
(hS : MeasurableSet S)
(hSΩ : S ⊆ Ω)
{θ : ℝ}
(hθ : 0 < θ)
(hlo : ∀ p ∈ G, ∀ (v : ComplexSpace n), θ * ‖v‖ ≤ ‖(fderiv ℂ A p) v‖)
:
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.inverse_image_complement
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{G₁ : Set (ComplexSpace n)}
(hG₁ : G₁ ⊆ G)
:
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.realVolume_loss_le
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{G₁ S : Set (ComplexSpace n)}
(hG₁ : G₁ ⊆ G)
(hS : MeasurableSet S)
(hcover : S ⊆ A '' G₁)
{θ : ℝ}
(hθ : 0 < θ)
(hlo : ∀ p ∈ G, ∀ (v : ComplexSpace n), θ * ‖v‖ ≤ ‖(fderiv ℂ A p) v‖)
:
theorem
KamProject.Arnold1963.AnalyticFrequencyChart.realVolume_image_le
{n : ℕ}
{A g : ComplexSpace n → ComplexSpace n}
{G Ω : Set (ComplexSpace n)}
(c : AnalyticFrequencyChart A g G Ω)
{Θ : ℝ}
(hΘ : 0 ≤ Θ)
(hhi : ∀ p ∈ G, ‖fderiv ℂ A p‖ ≤ Θ)
: