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Add lean source and binary files (part 66)
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import Mathlib
import OAI.Geometry.CAT0Fillings.Swept.Current
namespace OAI
section
open Set Filter MeasureTheory Matrix
open scoped Topology NNReal BigOperators Matrix.Norms.L2Operator
namespace CAT0Fillings
lemma inverse_quadratic_le {k : ℕ} (G : Matrix (Fin k) (Fin k) ℝ)
(α : Fin k → ℝ) (hG : G.PosDef) {K : ℝ} (hK : 0 ≤ K)
(hα : ∀ v, |α ⬝ᵥ v| ≤ K * Real.sqrt (v ⬝ᵥ G.mulVec v)) :
α ⬝ᵥ G⁻¹.mulVec α ≤ K^2 := by
have hi : G.mulVec (G⁻¹.mulVec α) = α := by
rw [Matrix.mulVec_mulVec, Matrix.mul_nonsing_inv G (isUnit_iff_ne_zero.mpr hG.det_pos.ne'),
Matrix.one_mulVec]
have hq : 0 ≤ α ⬝ᵥ G⁻¹.mulVec α := hG.inv.posSemidef.dotProduct_mulVec_nonneg α
have hh := hα (G⁻¹.mulVec α)
rw [hi,dotProduct_comm (G⁻¹.mulVec α),abs_of_nonneg hq] at hh
have hs := Real.sq_sqrt hq
have hb : Real.sqrt (α ⬝ᵥ G⁻¹.mulVec α) ≤ K := by
by_contra! hn
have hp := mul_pos (lt_of_le_of_lt hK hn) (sub_pos.mpr hn)
nlinarith
nlinarith [Real.sqrt_nonneg (α ⬝ᵥ G⁻¹.mulVec α)]
namespace ChartGeometry
variable {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {k : ℕ} {T : Functional X k}
{hT : IsMetricCurrent T} (q : ChartGeometry hT)
local instance : MeasurableSpace (Matrix (Fin k) (Fin k) ℝ) := borel _
local instance : BorelSpace (Matrix (Fin k) (Fin k) ℝ) := ⟨rfl⟩
noncomputable def covector (i : ℕ) (u : X → ℝ) (z : Euc k) : Fin k → ℝ :=
differentialRow (fderivWithin ℝ ((q.chart i).scalar u) (q.chart i).domain z)
noncomputable def normSq (i : ℕ) (u : X → ℝ) (z : Euc k) : ℝ :=
q.covector i u z ⬝ᵥ (q.gram i z)⁻¹.mulVec (q.covector i u z)
noncomputable def duNorm (i : ℕ) (u : X → ℝ) (z : Euc k) : ℝ :=
Real.sqrt (q.normSq i u z)
lemma measurable_gram (i : ℕ) : Measurable (q.gram i) := by
have hh : Measurable (fun z a b => q.gram i z a b) :=
measurable_pi_iff.mpr fun a => measurable_pi_iff.mpr fun b =>
measurable_polarizationMatrix (q.field i)
(EuclideanSpace.basisFun (Fin k) ℝ).toBasis (q.measurable i) a b
have heq : _root_.borel (Fin k → Fin k → ℝ) = MeasurableSpace.pi :=
BorelSpace.measurable_eq.symm
change @Measurable (Euc k) (Fin k → Fin k → ℝ) _ (_root_.borel _) _
rw [heq]
exact hh
lemma aestronglyMeasurable_covector (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) : AEStronglyMeasurable (q.covector i u)
(volume.restrict (q.chart i).domain) := by
obtain ⟨L,U,hL,_⟩ := (q.chart i).bilipschitz
obtain ⟨R,hR,heR⟩ := ((q.chart i).scalar_lipschitzOn hL hu).extend_real
have hm : Measurable (fun z => differentialRow (fderiv ℝ R z)) := by
apply measurable_pi_iff.mpr
intro j
simp only [differentialRow]
fun_prop
apply hm.aestronglyMeasurable.congr
filter_upwards [ae_fderivWithin_eq_fderiv_extension volume (q.chart i).borel hR heR] with z hz
simp only [covector,hz]
lemma aestronglyMeasurable_normSq (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) : AEStronglyMeasurable (q.normSq i u)
(volume.restrict (q.chart i).domain) := by
have hc : Continuous (fun r : (Fin k → ℝ) × Matrix (Fin k) (Fin k) ℝ =>
r.1 ⬝ᵥ r.2.mulVec r.1) := by fun_prop
exact hc.comp_aestronglyMeasurable ((q.aestronglyMeasurable_covector i hu).prodMk
(measurable_matrix_inverse _ (q.measurable_gram i)).aestronglyMeasurable)
lemma aestronglyMeasurable_duNorm (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) : AEStronglyMeasurable (q.duNorm i u)
(volume.restrict (q.chart i).domain) :=
Real.continuous_sqrt.comp_aestronglyMeasurable (q.aestronglyMeasurable_normSq i hu)
lemma ae_normSq_bounds (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) : ∀ᵐ z ∂volume.restrict (q.chart i).domain,
0 ≤ q.normSq i u z ∧ q.normSq i u z ≤ (K : ℝ)^2 := by
obtain ⟨L,U,hL,_⟩ := (q.chart i).bilipschitz
have hb := MetricDifferentiation.ae_scalarOn_derivative_bound volume (q.chart i).borel hL
((q.differential i).mono fun z hz => hz.1) hu
filter_upwards [q.differential i,hb] with z hz hbz
have hG : (q.gram i z).PosDef := polarizationMatrix_posDef _ _ hz.2.2 hz.2.1
refine ⟨hG.inv.posSemidef.dotProduct_mulVec_nonneg _,?_⟩
apply inverse_quadratic_le _ _ hG K.coe_nonneg
intro v
let b := (EuclideanSpace.basisFun (Fin k) ℝ).toBasis
let w : Euc k := WithLp.toLp 2 v
have hr : b.repr w = v := by ext j; simp [b,w]
have hquad : v ⬝ᵥ (q.gram i z).mulVec v = (q.field i z w)^2 := by
simpa only [gram,hr] using polarizationMatrix_quadratic b (q.field i z) hz.2.2 hz.2.1 w
rw [hquad,Real.sqrt_sq (apply_nonneg (q.field i z) w)]
have he : (q.chart i).scalar u = MetricDifferentiation.scalarOn (q.chart i).param u := by
ext x
rfl
simpa only [covector,differentialRow_dot,he,w] using hbz w
lemma ae_duNorm_bounds (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) : ∀ᵐ z ∂volume.restrict (q.chart i).domain,
0 ≤ q.duNorm i u z ∧ q.duNorm i u z ≤ (K : ℝ) ∧
q.duNorm i u z ^2 = q.normSq i u z := by
filter_upwards [q.ae_normSq_bounds i hu] with z hz
exact ⟨Real.sqrt_nonneg _, (Real.sqrt_le_left K.coe_nonneg).mpr hz.2, Real.sq_sqrt hz.1⟩
lemma integrable_gradient (i : ℕ) {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) :
Integrable (fun z => q.density i z * q.duNorm i u z)
(volume.restrict (q.chart i).domain) := by
apply ((q.density_integrable i).mul_const (K : ℝ)).mono'
((q.density_integrable i).aestronglyMeasurable.mul (q.aestronglyMeasurable_duNorm i hu))
filter_upwards [q.ae_duNorm_bounds i hu] with z hz
have density_nonneg : 0 ≤ q.density i z :=
mul_nonneg (abs_nonneg _) (Real.sqrt_nonneg _)
simp only [Pi.mul_apply]
rw [Real.norm_eq_abs,abs_of_nonneg (mul_nonneg density_nonneg hz.1)]
exact mul_le_mul_of_nonneg_left hz.2.1 density_nonneg
lemma integrable_energy (i : ℕ) {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) :
Integrable (fun z => q.density i z * q.normSq i u z)
(volume.restrict (q.chart i).domain) := by
apply ((q.density_integrable i).mul_const ((K : ℝ)^2)).mono'
((q.density_integrable i).aestronglyMeasurable.mul (q.aestronglyMeasurable_normSq i hu))
filter_upwards [q.ae_normSq_bounds i hu] with z hz
have density_nonneg : 0 ≤ q.density i z :=
mul_nonneg (abs_nonneg _) (Real.sqrt_nonneg _)
simp only [Pi.mul_apply]
rw [Real.norm_eq_abs,abs_of_nonneg (mul_nonneg density_nonneg hz.1)]
exact mul_le_mul_of_nonneg_left hz.2 density_nonneg
end ChartGeometry
end CAT0Fillings
end
section
open Set Filter MeasureTheory Matrix
open scoped Topology NNReal BigOperators MatrixOrder
namespace CAT0Fillings
lemma abs_det_le_prod_dual_norm {n : ℕ} (L P : Matrix (Fin n) (Fin n) ℝ) (hP : P.PosDef) :
|L.det| ≤ (∏ i, Real.sqrt (L i ⬝ᵥ P⁻¹.mulVec (L i))) * Real.sqrt P.det := by
let Q := CFC.sqrt P⁻¹
have hQsym : Q.transpose = Q :=
(Matrix.isHermitian_iff_isSymm.mp (CFC.sqrt_nonneg P⁻¹).posSemidef.isHermitian).eq
have hQdet : Q.det = (Real.sqrt P.det)⁻¹ := by
have hh := hP.inv.posSemidef.det_sqrt
simpa only [Q,RCLike.sqrt_real,Matrix.det_nonsing_inv,Ring.inverse_eq_inv,
Real.sqrt_inv] using hh
have hJ : 0 < Real.sqrt P.det := Real.sqrt_pos.mpr hP.det_pos
have hrow (i : Fin n) : (L * Q) i = Q.mulVec (L i) := by
ext j
change (∑ t, L i t * Q t j) = ∑ t, Q j t * L i t
apply Finset.sum_congr rfl
intro t ht
have hs : Q t j = Q j t := congrFun (congrFun hQsym j) t
rw [hs,mul_comm]
have hnorm (i : Fin n) :
‖(WithLp.toLp 2 ((L*Q) i) : EuclideanSpace ℝ (Fin n))‖ =
Real.sqrt (L i ⬝ᵥ P⁻¹.mulVec (L i)) := by
have hn : ‖(WithLp.toLp 2 ((L*Q) i) : EuclideanSpace ℝ (Fin n))‖^2 =
L i ⬝ᵥ P⁻¹.mulVec (L i) := by
rw [←real_inner_self_eq_norm_sq]
simp only [EuclideanSpace.inner_eq_star_dotProduct,star_trivial,hrow]
exact (dot_mulVec_sqrt P⁻¹ hP.inv.posSemidef (L i)).symm
rw [←hn,Real.sqrt_sq (norm_nonneg _)]
have heq : |L.det| = |(L*Q).det| * Real.sqrt P.det := by
rw [Matrix.det_mul,abs_mul,hQdet,abs_of_pos (inv_pos.mpr hJ)]
field_simp
rw [heq]
apply mul_le_mul_of_nonneg_right _ hJ.le
simpa only [hnorm] using abs_det_le_prod_row_norm (L*Q)
lemma abs_det_le_first_dual_norm {n : ℕ} (L P : Matrix (Fin (n+1)) (Fin (n+1)) ℝ)
(hP : P.PosDef)
(hL : ∀ i : Fin n, Real.sqrt (L i.succ ⬝ᵥ P⁻¹.mulVec (L i.succ)) ≤ 1) :
|L.det| ≤ Real.sqrt (L 0 ⬝ᵥ P⁻¹.mulVec (L 0)) * Real.sqrt P.det := by
apply (abs_det_le_prod_dual_norm L P hP).trans
apply mul_le_mul_of_nonneg_right _ (Real.sqrt_nonneg _)
rw [Fin.prod_univ_succ]
exact mul_le_of_le_one_right (Real.sqrt_nonneg _)
(Finset.prod_le_one₀ (fun i _ => Real.sqrt_nonneg _) (fun i _ => hL i))
namespace ChartGeometry
variable {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {k : ℕ} {T : Functional X (k+1)}
{hT : IsMetricCurrent T} (q : ChartGeometry hT)
theorem ae_jacobian_le_duNorm (i : ℕ) {u : X → ℝ} {K : ℝ≥0}
(hu : LipschitzWith K u) (π : Fin k → X → ℝ) (hπ : ∀ j, LipschitzWith 1 (π j)) :
∀ᵐ z ∂volume.restrict (q.chart i).domain,
|(q.chart i).jacobian (Fin.cons u π) z| ≤
q.duNorm i u z * Real.sqrt (q.gram i z).det := by
have hp : ∀ᵐ z ∂volume.restrict (q.chart i).domain,
∀ j, q.duNorm i ((Fin.cons u π : Fin (k+1) → X → ℝ) j) z ≤
(Fin.cons (K : ℝ) (fun _ => (1 : ℝ)) : Fin (k+1) → ℝ) j := by
rw [eventually_all]
intro coordinate
refine Fin.cases ?_ (fun tail => ?_) coordinate
· exact (q.ae_duNorm_bounds i hu).mono fun _ bounds => bounds.2.1
· exact (q.ae_duNorm_bounds i (hπ tail)).mono fun _ bounds => by simpa using bounds.2.1
filter_upwards [q.differential i,hp] with z hz hpz
apply abs_det_le_first_dual_norm _ _
(polarizationMatrix_posDef _ _ hz.2.2 hz.2.1)
intro j
exact hpz j.succ
end ChartGeometry
end CAT0Fillings
end
end OAI