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Add lean source and binary files (part 66)
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import Mathlib
import OAI.Geometry.CAT0Fillings.Gradient.CyclePairing
namespace OAI
section
open Set Filter MeasureTheory Matrix
open scoped Topology ENNReal NNReal BigOperators
namespace CAT0Fillings.ChartGeometry
variable {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {n : ℕ} {T : Functional X n}
{hT : IsMetricCurrent T} (q : ChartGeometry hT)
lemma exists_inverse_coordinates (i : ℕ) :
∃ (F : Fin n → X → ℝ) (K : ℝ≥0), (∀ a, LipschitzWith K (F a)) ∧
∀ᵐ z ∂volume.restrict (q.chart i).domain,
∀ a, q.covector i (F a) z = (1 : Matrix (Fin n) (Fin n) ℝ) a := by
obtain ⟨K₁,K₂,hK₁,hK₂⟩ := (q.chart i).bilipschitz
have hrow : ∀ a y (hy : y ∈ (q.chart i).domain) z (hz : z ∈ (q.chart i).domain),
|EuclideanSpace.proj a y-EuclideanSpace.proj a z| ≤
(K₂ : ℝ)*dist ((q.chart i).param ⟨y,hy⟩) ((q.chart i).param ⟨z,hz⟩) := by
intro a y hy z hz
have h := PiLp.norm_apply_le (p := (2 : ℝ≥0∞)) (y-z) a
have he : |EuclideanSpace.proj a y-EuclideanSpace.proj a z| ≤ dist y z := by
change |y.ofLp a-z.ofLp a| ≤ ‖y-z‖
simpa only [Real.norm_eq_abs,PiLp.sub_apply] using h
exact he.trans (hK₂.le_mul_dist ⟨y,hy⟩ ⟨z,hz⟩)
obtain ⟨F,hF,hFeq,_⟩ := (q.chart i).exists_inverse_coordinate_tests
(q.chart i).borel subset_rfl (fun a => EuclideanSpace.proj a) K₂ hrow
refine ⟨F,K₂,hF,?_⟩
rw [eventually_all]
intro a
have h := (q.chart i).ae_fderivWithin_scalar_eq_linear (q.chart i).borel subset_rfl
(hF a) (EuclideanSpace.proj a) (hFeq a)
filter_upwards [h] with z hz
ext b
unfold covector
rw [hz]
change (EuclideanSpace.single b (1 : ℝ)).ofLp a = (1 : Matrix (Fin n) (Fin n) ℝ) a b
simp [Matrix.one_apply]
lemma ae_coordinate_density_pos (i : ℕ) :
∀ᵐ z ∂q.coordinateMeasure i, 0 < q.density i z := by
apply (ae_withDensity_iff' (q.density_integrable i).aestronglyMeasurable.aemeasurable.ennreal_ofReal).mpr
exact Eventually.of_forall fun z hz => lt_of_not_ge (fun h => hz (ENNReal.ofReal_eq_zero.mpr h))
lemma ae_multiplicity_ne_zero (i : ℕ) :
∀ᵐ z ∂q.coordinateMeasure i, ((q.chart i).multiplicity z : ℝ) ≠ 0 := by
filter_upwards [q.ae_coordinate_density_pos i] with z hz
intro he
simp only [density,he,abs_zero,zero_mul] at hz
exact lt_irrefl 0 hz
end CAT0Fillings.ChartGeometry
end
section
open Set Filter MeasureTheory Matrix
open scoped Topology ENNReal NNReal BigOperators
namespace CAT0Fillings.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)
lemma eq_zero_of_pairing_null (L : Lp (Euc (k+1)) 2 q.atlasMeasure)
(hnull : ∀ (π : Fin k → X → ℝ) (K : Fin k → ℝ≥0),
(∀ j, LipschitzWith (K j) (π j)) → ∀ b, BoundedLip b → q.pairing π b L = 0) :
L = 0 := by
apply Lp.ext
apply EventuallyEq.trans _ (Lp.coeFn_zero (Euc (k+1)) 2 q.atlasMeasure).symm
apply Measure.ae_sum_iff.mpr
intro i
apply (measurableEmbedding_prodMk_left i).ae_map_iff.mpr
obtain ⟨F,K,hF,hrows⟩ := q.exists_inverse_coordinates i
have hzero : ∀ᵐ z ∂q.coordinateMeasure i, ∀ a : Fin (k+1),
q.testWeight (fun j => F (Equiv.swap 0 a j.succ)) L (i,z) = 0 := by
rw [eventually_all]
intro a
have hh := q.testWeight_eq_zero_of_pairings (fun j => F (Equiv.swap 0 a j.succ))
(fun _ => K) (fun j => hF _) L (hnull _ _ (fun j => hF _))
exact (measurableEmbedding_prodMk_left i).ae_map_iff.mp (Measure.ae_sum_iff.mp hh i)
have hrows' := (withDensity_absolutelyContinuous _ (fun z => ENNReal.ofReal (q.density i z))).ae_le hrows
have hdiff := (withDensity_absolutelyContinuous _ (fun z => ENNReal.ofReal (q.density i z))).ae_le (q.differential i)
filter_upwards [hzero,hrows',hdiff,q.ae_multiplicity_ne_zero i] with z hz hr hd hθ
have hG : (q.gram i z).PosDef := polarizationMatrix_posDef _ _ hd.2.2 hd.2.1
have hJ : Real.sqrt (q.gram i z).det ≠ 0 := (Real.sqrt_pos.mpr hG.det_pos).ne'
have hraw : rawCovector (q.gram i z) (L (i,z)) = 0 := by
funext a
apply component_zero_of_omitted_det _ a
have hh := hz a
change ((_ : ℝ)/abs _) * normalizedDet _ _ _ = 0 at hh
have hh' := (mul_eq_zero.mp hh).resolve_left (div_ne_zero hθ (abs_ne_zero.mpr hθ))
unfold normalizedDet at hh'
have he : (fun j : Fin k => q.covector i (F (Equiv.swap 0 a j.succ)) z) =
fun j => (1 : Matrix (Fin (k+1)) (Fin (k+1)) ℝ) (Equiv.swap 0 a j.succ) := by
funext j
exact hr _
rw [he] at hh'
exact (div_eq_zero_iff.mp hh').resolve_right hJ
have he := normalize_rawCovector (q.gram i z) hG (L (i,z))
rw [hraw,Matrix.mulVec_zero] at he
apply (WithLp.equiv 2 (Fin (k+1) → ℝ)).injective
exact he.symm
theorem gradient_closable (hz : IsCycle T)
(u : ℕ → X → ℝ) (Ku : ℕ → ℝ≥0) (hu : ∀ j, LipschitzWith (Ku j) (u j))
(hu0 : Tendsto (fun j => lpNorm (u j) 2 (MassMeasure.currentMassMeasure hT)) atTop (𝓝 0))
(L : Lp (Euc (k+1)) 2 q.atlasMeasure)
(hL : Tendsto (fun j => q.gradient (hu j)) atTop (𝓝 L)) : L = 0 := by
apply q.eq_zero_of_pairing_null L
intro π K hπ b hb
exact q.pairing_eq_zero_of_gradient_limit hz u Ku hu hu0 L hL π K hπ hb
end CAT0Fillings.ChartGeometry
end
section
open Set Filter MeasureTheory Matrix
open scoped Topology NNReal ENNReal
namespace CAT0Fillings.ChartGeometry
variable {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {n : ℕ} {T : Functional X n}
{hT : IsMetricCurrent T} (q : ChartGeometry hT)
lemma gradient_add {u v : X → ℝ} {K J : ℝ≥0}
(hu : LipschitzWith K u) (hv : LipschitzWith J v) :
q.gradient (hu.add hv) = q.gradient hu + q.gradient hv := by
apply Lp.ext
apply EventuallyEq.trans _ (Lp.coeFn_add _ _).symm
have hea := (q.memLp_gradientFunction (hu.add hv)).coeFn_toLp
have heb := (q.memLp_gradientFunction hu).coeFn_toLp
have hec := (q.memLp_gradientFunction hv).coeFn_toLp
have he : q.gradientFunction (fun x => u x+v x) =ᵐ[q.atlasMeasure]
fun w => q.gradientFunction u w+q.gradientFunction v w := by
apply Measure.ae_sum_iff.mpr
intro i
apply (measurableEmbedding_prodMk_left i).ae_map_iff.mpr
apply (withDensity_absolutelyContinuous _ _).ae_le
filter_upwards [ae_uniqueDiffWithinAt volume (q.chart i).domain,
(q.chart i).ae_differentiableWithinAt_scalar hu,
(q.chart i).ae_differentiableWithinAt_scalar hv] with z hz hdu hdv
have hs : (q.chart i).scalar (fun x => u x+v x) =
(q.chart i).scalar u+(q.chart i).scalar v := by
funext z
by_cases hz : z ∈ (q.chart i).domain <;> simp [IntegerChart.scalar,hz]
change q.normalizedCovector i (fun x => u x+v x) z =
q.normalizedCovector i u z+q.normalizedCovector i v z
unfold normalizedCovector covector
rw [hs,fderivWithin_add hz hdu hdv]
have he : differentialRow (fderivWithin ℝ ((q.chart i).scalar u) (q.chart i).domain z +
fderivWithin ℝ ((q.chart i).scalar v) (q.chart i).domain z) =
differentialRow (fderivWithin ℝ ((q.chart i).scalar u) (q.chart i).domain z)+
differentialRow (fderivWithin ℝ ((q.chart i).scalar v) (q.chart i).domain z) := rfl
rw [he,Matrix.mulVec_add,WithLp.toLp_add]
filter_upwards [hea,heb,hec,he] with w ha hb hc he
change (q.gradient (hu.add hv)) w = (q.gradient hu) w+(q.gradient hv) w
exact ha.trans (he.trans (congrArg₂ (·+·) hb.symm hc.symm))
lemma gradient_smul {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) (c : ℝ) :
q.gradient ((lipschitzWith_smul c).comp hu) = c • q.gradient hu := by
apply Lp.ext
apply EventuallyEq.trans _ (Lp.coeFn_smul c _).symm
have hea := (q.memLp_gradientFunction ((lipschitzWith_smul c).comp hu)).coeFn_toLp
have heb := (q.memLp_gradientFunction hu).coeFn_toLp
have he : q.gradientFunction (fun x => c • u x) =ᵐ[q.atlasMeasure]
fun w => c • q.gradientFunction u w := by
apply Measure.ae_sum_iff.mpr
intro i
apply (measurableEmbedding_prodMk_left i).ae_map_iff.mpr
apply (withDensity_absolutelyContinuous _ _).ae_le
filter_upwards [ae_uniqueDiffWithinAt volume (q.chart i).domain,
(q.chart i).ae_differentiableWithinAt_scalar hu] with z hz hdu
have hs : (q.chart i).scalar (fun x => c • u x) = c • (q.chart i).scalar u := by
funext z
by_cases hz : z ∈ (q.chart i).domain <;> simp [IntegerChart.scalar,hz]
change q.normalizedCovector i (fun x => c • u x) z = c • q.normalizedCovector i u z
unfold normalizedCovector covector
rw [hs,fderivWithin_const_smul hz hdu]
have he : differentialRow (c • fderivWithin ℝ ((q.chart i).scalar u) (q.chart i).domain z) =
c • differentialRow (fderivWithin ℝ ((q.chart i).scalar u) (q.chart i).domain z) := rfl
rw [he,Matrix.mulVec_smul,WithLp.toLp_smul]
filter_upwards [hea,heb,he] with w ha hb he
change (q.gradient ((lipschitzWith_smul c).comp hu)) w = c • (q.gradient hu) w
exact ha.trans (he.trans (congrArg (c • ·) hb.symm))
noncomputable def value {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) :
Lp ℝ 2 (MassMeasure.currentMassMeasure hT) :=
((Foundations.boundedLip_of_lipschitz hu).memLp 2).toLp u
lemma value_add {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {n : ℕ} {T : Functional X n}
{hT : IsMetricCurrent T} {u v : X → ℝ} {K J : ℝ≥0}
(hu : LipschitzWith K u) (hv : LipschitzWith J v) :
value (hT := hT) (hu.add hv) = value hu + value hv :=
MemLp.toLp_add _ _
lemma value_smul {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {n : ℕ} {T : Functional X n}
{hT : IsMetricCurrent T} {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) (c : ℝ) :
value (hT := hT) ((lipschitzWith_smul c).comp hu) = c • value hu :=
MemLp.toLp_const_smul c ((Foundations.boundedLip_of_lipschitz hu).memLp 2)
lemma norm_value {X : Type*} [MetricSpace X] [MeasurableSpace X] [BorelSpace X]
[CompactSpace X] [Nonempty X] {n : ℕ} {T : Functional X n}
{hT : IsMetricCurrent T} {u : X → ℝ} {K : ℝ≥0} (hu : LipschitzWith K u) :
‖value (hT := hT) hu‖ = lpNorm u 2 (MassMeasure.currentMassMeasure hT) := by
rw [value,Lp.norm_toLp,toReal_eLpNorm]
end CAT0Fillings.ChartGeometry
end
end OAI