openAI-math-dataset / lean /OAI /Geometry /IntegralFillings /Slicing /CoordinateDerivative.lean
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Add lean source and binary files (part 69)
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import Mathlib
import OAI.Geometry.IntegralFillings.Charts.Scalar
import OAI.Geometry.IntegralFillings.Slicing.CoordinateChart
namespace OAI
section
open Filter Set
open Set Filter MeasureTheory TopologicalSpace
open scoped Topology ENNReal
open Set MeasureTheory
open scoped RealInnerProductSpace
open Matrix
open scoped RealInnerProductSpace MatrixOrder
open Set Filter MeasureTheory
open MeasureTheory Filter Set Metric
open scoped Topology Pointwise NNReal
open Set MeasureTheory Measure Filter Module
open Set Filter MeasureTheory Measure ContinuousLinearMap
open scoped Topology Convolution NNReal
open Set Filter MeasureTheory Measure Metric
open scoped Topology ContDiff
open Set Filter Metric
open scoped Topology NNReal
open Set MeasureTheory Filter
open scoped Topology ENNReal NNReal
namespace SharpIntegralFillings.IntegerChart
open Set MeasureTheory Filter
open scoped Topology
variable {X : Type*} [MetricSpace X] {k : ℕ} (C : IntegerChart X (k+1))
lemma coordinateSlice_scalar_eq (t : ℝ)
(ht : Integrable (fun z => (C.multiplicity (coordinateLayer k t z):ℝ))
(volume.restrict (C.coordinateDomain t))) (f : X → ℝ)
{z : Euc k} (hz : z ∈ C.coordinateDomain t) :
(C.coordinateSlice t ht).scalar f z = C.scalar f (coordinateLayer k t z) := by
rw [(C.coordinateSlice t ht).scalar_eq hz,C.scalar_eq hz]
rfl
lemma coordinateSlice_fderiv (t : ℝ)
(ht : Integrable (fun z => (C.multiplicity (coordinateLayer k t z):ℝ))
(volume.restrict (C.coordinateDomain t))) {f : X → ℝ} {F : Euc (k+1) → ℝ}
(heq : EqOn F (C.scalar f) C.domain) {z : Euc k}
(hz : z ∈ C.coordinateDomain t) (hF : DifferentiableAt ℝ F (coordinateLayer k t z))
(hu : UniqueDiffWithinAt ℝ C.domain (coordinateLayer k t z))
(hv : UniqueDiffWithinAt ℝ (C.coordinateDomain t) z) (j : Fin k) :
(fderivWithin ℝ ((C.coordinateSlice t ht).scalar f) (C.coordinateDomain t) z)
(EuclideanSpace.single j 1) =
(fderivWithin ℝ (C.scalar f) C.domain (coordinateLayer k t z))
(EuclideanSpace.single j.succ 1) := by
have hFC : fderivWithin ℝ (C.scalar f) C.domain (coordinateLayer k t z) =
fderiv ℝ F (coordinateLayer k t z) :=
(hF.hasFDerivAt.hasFDerivWithinAt.congr (fun w hw => (heq hw).symm) (heq hz).symm).fderivWithin hu
let L : Euc k →L[ℝ] Euc (k+1) :=
(Prism.split k).symm.toContinuousLinearMap.comp (ContinuousLinearMap.inr ℝ ℝ (Euc k))
have hl : HasFDerivAt (coordinateLayer k t) L z := by
exact (Prism.split k).symm.hasFDerivAt.comp z
((hasFDerivAt_const (𝕜 := ℝ) t z).prodMk (hasFDerivAt_id (𝕜 := ℝ) z))
have hFS : fderivWithin ℝ ((C.coordinateSlice t ht).scalar f) (C.coordinateDomain t) z =
(fderiv ℝ F (coordinateLayer k t z)).comp L := by
apply HasFDerivWithinAt.fderivWithin _ hv
apply (hF.hasFDerivAt.comp z hl).hasFDerivWithinAt.congr
· intro w hw
rw [C.coordinateSlice_scalar_eq t ht f hw]
exact (heq hw).symm
· rw [C.coordinateSlice_scalar_eq t ht f hz]
exact (heq hz).symm
rw [hFC,hFS,ContinuousLinearMap.comp_apply]
have hb : L (EuclideanSpace.single j 1) = EuclideanSpace.single j.succ 1 := by
apply (Prism.split k).injective
change Prism.split k ((Prism.split k).symm (0,EuclideanSpace.single j 1)) = _
rw [ContinuousLinearEquiv.apply_symm_apply,Prism.split_single_succ]
rw [hb]
lemma ae_coordinateSlice_fderiv {f : X → ℝ} {K : ℝ≥0} (hf : LipschitzWith K f) :
∀ᵐ t : ℝ, ∀ (ht : Integrable (fun z => (C.multiplicity (coordinateLayer k t z):ℝ))
(volume.restrict (C.coordinateDomain t))),
∀ᵐ z ∂volume.restrict (C.coordinateDomain t), ∀ j : Fin k,
(fderivWithin ℝ ((C.coordinateSlice t ht).scalar f) (C.coordinateDomain t) z)
(EuclideanSpace.single j 1) =
(fderivWithin ℝ (C.scalar f) C.domain (coordinateLayer k t z))
(EuclideanSpace.single j.succ 1) := by
obtain ⟨L,U,hL,hU⟩ := C.bilipschitz
obtain ⟨F,hF,heq⟩ := (C.scalar_lipschitzOn hL hf).extend_real
have hfull : ∀ᵐ w : Euc (k+1), w ∈ C.domain →
DifferentiableAt ℝ F w ∧ UniqueDiffWithinAt ℝ C.domain w := by
filter_upwards [hF.ae_differentiableAt (μ := volume),
(ae_restrict_iff' C.borel).mp (ae_uniqueDiffWithinAt volume C.domain)] with w hw hu
exact fun hm => ⟨hw,hu hm⟩
have hp := (Prism.split_symm_measurePreserving k).quasiMeasurePreserving.ae hfull
filter_upwards [Measure.ae_ae_of_ae_prod hp] with t ht
intro hi
have ht' : ∀ᵐ z ∂volume.restrict (C.coordinateDomain t),
DifferentiableAt ℝ F (coordinateLayer k t z) ∧
UniqueDiffWithinAt ℝ C.domain (coordinateLayer k t z) :=
(ae_restrict_iff' (C.measurableSet_coordinateDomain t)).mpr ht
filter_upwards [ht',ae_restrict_mem (C.measurableSet_coordinateDomain t),
ae_uniqueDiffWithinAt volume (C.coordinateDomain t)] with z hz hm hu
exact fun j => C.coordinateSlice_fderiv t hi (fun w hw => (heq hw).symm) hm hz.1 hz.2 hu j
end SharpIntegralFillings.IntegerChart
namespace SharpIntegralFillings.IntegerChart
open Set MeasureTheory Filter
open scoped Topology
variable {X : Type*} [MetricSpace X] {k : ℕ} (C : IntegerChart X (k+1))
noncomputable def coordinateEmptyChart : IntegerChart X k where
domain := ∅
borel := MeasurableSet.empty
bounded := Bornology.isBounded_empty
param := fun z => False.elim z.property
bilipschitz := by
refine ⟨0,0,?_,?_⟩
· apply LipschitzWith.of_dist_le_mul
intro a b
exact False.elim a.property
· intro a b
exact False.elim a.property
multiplicity := fun _ => 0
integrable := by simp
noncomputable def coordinateSliceTotal (t : ℝ) : IntegerChart X k := by
classical
exact if ht : Integrable (fun z => (C.multiplicity (coordinateLayer k t z):ℝ))
(volume.restrict (C.coordinateDomain t)) then C.coordinateSlice t ht
else coordinateEmptyChart
lemma ae_coordinateSliceTotal_eq : ∀ᵐ t : ℝ,
∃ ht : Integrable (fun z => (C.multiplicity (coordinateLayer k t z):ℝ))
(volume.restrict (C.coordinateDomain t)),
C.coordinateSliceTotal t = C.coordinateSlice t ht := by
filter_upwards [C.ae_integrable_coordinateMultiplicity] with t ht
exact ⟨ht,dite_eq_left ht⟩
end SharpIntegralFillings.IntegerChart
end
end OAI