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import OAI.Geometry.DoublingHilbert.Derivatives
namespace OAI
/-! Line integration and global Lipschitz extensions of sheets. -/
open MeasureTheory Set Filter
open scoped BigOperators Topology
open MeasureTheory Set Filter
open scoped Topology
noncomputable section
namespace DoublingHilbert
section FTC
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
/-- Vector-valued FTC for a Lipschitz curve with its a.e. derivative specified.
This is the scalar absolutely-continuous FTC tested against the continuous dual. -/
theorem integral_eq_sub_of_lipschitz_ae_derivative
{f g : ℝ → E} {a b : ℝ} {C : NNReal}
(hf : LipschitzOnWith C f (uIcc a b))
(hg : IntervalIntegrable g volume a b)
(hderiv : ∀ᵐ x, x ∈ uIcc a b → HasDerivAt f (g x) x) :
(∫ x in a..b, g x) = f b - f a := by
refine (SeparatingDual.eq_iff_forall_dual_eq (R := ℝ)).2 fun L => ?_
rw [← L.intervalIntegral_comp_comm hg, L.map_sub]
have hAC := (L.lipschitzWith.comp_lipschitzOnWith hf).absolutelyContinuousOnInterval
calc
(∫ x in a..b, L (g x)) = ∫ x in a..b, deriv (L ∘ f) x := by
apply intervalIntegral.integral_congr_ae
filter_upwards [hderiv] with x hx hxab
have h'x := L.hasFDerivAt.comp_hasDerivAt x (hx (uIoc_subset_uIcc hxab))
exact h'x.deriv.symm
_ = L (f b) - L (f a) := hAC.integral_deriv_eq_sub
/-- The endpoint estimate used for each full horizontal or vertical strip. -/
theorem norm_integral_derivative_sub_le
{f g f' g' : ℝ → E} {a b R : ℝ} {C₁ C₂ : NNReal}
(hf : LipschitzOnWith C₁ f (uIcc a b))
(hg : LipschitzOnWith C₂ g (uIcc a b))
(hf' : IntervalIntegrable f' volume a b)
(hg' : IntervalIntegrable g' volume a b)
(hdf : ∀ᵐ x, x ∈ uIcc a b → HasDerivAt f (f' x) x)
(hdg : ∀ᵐ x, x ∈ uIcc a b → HasDerivAt g (g' x) x)
(ha : ‖f a - g a‖ ≤ R) (hb : ‖f b - g b‖ ≤ R) :
‖∫ x in a..b, f' x - g' x‖ ≤ 2 * R := by
rw [intervalIntegral.integral_sub hf' hg',
integral_eq_sub_of_lipschitz_ae_derivative hf hf' hdf,
integral_eq_sub_of_lipschitz_ae_derivative hg hg' hdg]
have heq : f b - f a - (g b - g a) = (f b - g b) - (f a - g a) := by abel
rw [heq]
exact (norm_sub_le _ _).trans (by linarith)
end FTC
section MeanSquares
variable {X E : Type*} [MeasurableSpace X] {μ : Measure X}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
/-- Hilbert-space Cauchy--Schwarz in the form needed for line transport;
in fact convexity makes this valid for every normed target. -/
theorem norm_average_sq_le_average_norm_sq [IsFiniteMeasure μ] [NeZero μ]
{G : X → E} (hG : Integrable G μ)
(hG2 : Integrable (fun x => ‖G x‖ ^ 2) μ) :
‖⨍ x, G x ∂μ‖ ^ 2 ≤ ⨍ x, ‖G x‖ ^ 2 ∂μ := by
exact ((convexOn_norm (convex_univ : Convex ℝ (Set.univ : Set E))).pow
(fun _ _ => norm_nonneg _) 2).map_average_le
(continuous_norm.pow 2).continuousOn isClosed_univ
(Eventually.of_forall fun _ => mem_univ _) hG hG2
/-- The integral version of the preceding averaged estimate, retaining the exact mass. -/
theorem norm_integral_sq_le_mass_mul [IsFiniteMeasure μ]
{G : X → E} (hG : Integrable G μ)
(hG2 : Integrable (fun x => ‖G x‖ ^ 2) μ) :
‖∫ x, G x ∂μ‖ ^ 2 ≤ μ.real Set.univ * (∫ x, ‖G x‖ ^ 2 ∂μ) := by
by_cases hμ : μ = 0
· subst μ; simp
have : NeZero μ := ⟨hμ⟩
have hm := measureReal_univ_pos (μ := μ)
have hj := norm_average_sq_le_average_norm_sq hG hG2
simp only [average_eq, norm_smul, Real.norm_eq_abs, abs_inv,
abs_of_nonneg hm.le, smul_eq_mul, ← div_eq_inv_mul] at hj
have hj' := mul_le_mul_of_nonneg_left hj (sq_nonneg (μ.real univ))
field_simp at hj'
nlinarith
/-- Squared oscillation of a Lipschitz curve is bounded by its derivative energy. -/
theorem curve_oscillation_sq_le_integral
{f g : ℝ → E} {a b : ℝ} {C : NNReal} (hab : a ≤ b)
(hf : LipschitzOnWith C f (uIcc a b))
(hg : IntervalIntegrable g volume a b)
(hg2 : IntervalIntegrable (fun x => ‖g x‖ ^ 2) volume a b)
(hderiv : ∀ᵐ x, x ∈ uIcc a b → HasDerivAt f (g x) x) :
‖f b - f a‖ ^ 2 ≤ (b - a) * (∫ x in a..b, ‖g x‖ ^ 2) := by
rw [← integral_eq_sub_of_lipschitz_ae_derivative hf hg hderiv]
rw [intervalIntegral.integral_of_le hab, intervalIntegral.integral_of_le hab]
have h := norm_integral_sq_le_mass_mul hg.1 hg2.1
simpa only [measureReal_restrict_apply_univ, Real.volume_real_Ioc,
max_eq_left (sub_nonneg.mpr hab)] using h
end MeanSquares
end DoublingHilbert
namespace DoublingHilbert
open MeasureTheory Set Filter
open scoped Topology
section PartialIntegration
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [FiniteDimensional ℝ E]
/-- Actual derivative columns of global extensions. -/
def column (f : ℝ × ℝ → E) (v : ℝ × ℝ) (p : ℝ × ℝ) : E := fderiv ℝ f p v
omit [CompleteSpace E] [FiniteDimensional ℝ E] in
theorem norm_column_le {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f)
(v : ℝ × ℝ) (p : ℝ × ℝ) : ‖column f v p‖ ≤ C * ‖v‖ :=
((fderiv ℝ f p).le_opNorm v).trans
(mul_le_mul_of_nonneg_right (norm_fderiv_le_of_lipschitz ℝ hf) (norm_nonneg v))
omit [CompleteSpace E] in
theorem stronglyMeasurable_column (f : ℝ × ℝ → E) (v : ℝ × ℝ) :
StronglyMeasurable (column f v) := by
let : MeasurableSpace E := borel E
have : BorelSpace E := ⟨rfl⟩
exact ((ContinuousLinearMap.apply ℝ E v).continuous.measurable.comp
(measurable_fderiv ℝ f)).stronglyMeasurable
omit [NormedSpace ℝ E] [CompleteSpace E] [FiniteDimensional ℝ E] in
theorem intervalIntegrable_of_bound {g : ℝ → E} (hg : AEStronglyMeasurable g volume)
{M : ℝ} (hM : ∀ x, ‖g x‖ ≤ M) (a b : ℝ) : IntervalIntegrable g volume a b := by
rw [intervalIntegrable_iff']
exact IntegrableOn.of_bound isCompact_uIcc.measure_lt_top hg.restrict M
(Eventually.of_forall hM)
omit [CompleteSpace E] in
theorem intervalIntegrable_column_x {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f)
(v : ℝ × ℝ) (y a b : ℝ) :
IntervalIntegrable (fun x => column f v (x, y)) volume a b := by
apply intervalIntegrable_of_bound
((stronglyMeasurable_column f v).comp_measurable (measurable_id.prodMk measurable_const)).aestronglyMeasurable
intro x
exact norm_column_le hf v (x, y)
omit [CompleteSpace E] in
theorem intervalIntegrable_column_y {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f)
(v : ℝ × ℝ) (x a b : ℝ) :
IntervalIntegrable (fun y => column f v (x, y)) volume a b := by
apply intervalIntegrable_of_bound
((stronglyMeasurable_column f v).comp_measurable (measurable_const.prodMk measurable_id)).aestronglyMeasurable
intro y
exact norm_column_le hf v (x, y)
omit [NormedSpace ℝ E] [CompleteSpace E] [FiniteDimensional ℝ E] in
theorem lipschitz_line_x {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) (y : ℝ) :
LipschitzWith C (fun x => f (x, y)) := by
apply LipschitzWith.of_dist_le_mul
intro x x'
simpa only [dist_prod_same_right] using hf.dist_le_mul (x, y) (x', y)
omit [NormedSpace ℝ E] [CompleteSpace E] [FiniteDimensional ℝ E] in
theorem lipschitz_line_y {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) (x : ℝ) :
LipschitzWith C (fun y => f (x, y)) := by
apply LipschitzWith.of_dist_le_mul
intro y y'
simpa only [dist_prod_same_left] using hf.dist_le_mul (x, y) (x, y')
omit [CompleteSpace E] in
theorem ae_line_derivative_x {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) :
∀ᵐ y, ∀ᵐ x, HasDerivAt (fun t => f (t, y)) (column f (1, 0) (x, y)) x := by
have hd := hf.ae_differentiableAt (μ := (volume : Measure (ℝ × ℝ)))
rw [Measure.volume_eq_prod] at hd
have hs := Measure.measurePreserving_swap.quasiMeasurePreserving.ae hd
filter_upwards [Measure.ae_ae_of_ae_prod hs] with y hy
filter_upwards [hy] with x hx
exact hx.hasFDerivAt.comp_hasDerivAt x ((hasDerivAt_id x).prodMk (hasDerivAt_const x y))
omit [CompleteSpace E] in
theorem ae_line_derivative_y {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) :
∀ᵐ x, ∀ᵐ y, HasDerivAt (fun t => f (x, t)) (column f (0, 1) (x, y)) y := by
have hd := hf.ae_differentiableAt (μ := (volume : Measure (ℝ × ℝ)))
rw [Measure.volume_eq_prod] at hd
filter_upwards [Measure.ae_ae_of_ae_prod hd] with x hx
filter_upwards [hx] with y hy
exact hy.hasFDerivAt.comp_hasDerivAt y ((hasDerivAt_const y x).prodMk (hasDerivAt_id y))
/-- Fubini plus the vector FTC controls every subinterval on almost every horizontal line. -/
theorem ae_integral_column_x {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) :
∀ᵐ y, ∀ a b : ℝ, (∫ x in a..b, column f (1, 0) (x, y)) = f (b, y) - f (a, y) := by
filter_upwards [ae_line_derivative_x hf] with y hy
intro a b
exact integral_eq_sub_of_lipschitz_ae_derivative (lipschitz_line_x hf y).lipschitzOnWith
(intervalIntegrable_column_x hf (1, 0) y a b) (hy.mono fun _ h _ => h)
/-- The corresponding vertical-line identity. -/
theorem ae_integral_column_y {f : ℝ × ℝ → E} {C : NNReal} (hf : LipschitzWith C f) :
∀ᵐ x, ∀ a b : ℝ, (∫ y in a..b, column f (0, 1) (x, y)) = f (x, b) - f (x, a) := by
filter_upwards [ae_line_derivative_y hf] with x hx
intro a b
exact integral_eq_sub_of_lipschitz_ae_derivative (lipschitz_line_y hf x).lipschitzOnWith
(intervalIntegrable_column_y hf (0, 1) x a b) (hx.mono fun _ h _ => h)
end PartialIntegration
end DoublingHilbert
namespace DoublingHilbert
open MeasureTheory Set Filter
open scoped Topology
noncomputable section
section Extensions
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [FiniteDimensional ℝ E]
def globalSheet {f : constructedSet → E} {D : NNReal} (hf : LipschitzWith D f)
(w : Tuple) : Base → E :=
(exists_lipschitz_extension_finiteDimensional (embeddingSheet_lipschitz hf w)).choose
omit [CompleteSpace E] in
theorem globalSheet_lipschitz {f : constructedSet → E} {D : NNReal}
(hf : LipschitzWith D f) (w : Tuple) :
∃ L : NNReal, LipschitzWith L (globalSheet hf w) := by
obtain ⟨L, hL, _⟩ :=
(exists_lipschitz_extension_finiteDimensional (embeddingSheet_lipschitz hf w)).choose_spec
exact ⟨L, hL⟩
omit [CompleteSpace E] in
theorem globalSheet_eqOn {f : constructedSet → E} {D : NNReal}
(hf : LipschitzWith D f) (w : Tuple) :
EqOn (globalSheet hf w) (embeddingSheet f w) (sheetDomain w) := by
obtain ⟨_, _, heq⟩ :=
(exists_lipschitz_extension_finiteDimensional (embeddingSheet_lipschitz hf w)).choose_spec
exact heq.symm
omit [CompleteSpace E] in
theorem column_globalSheet {f : constructedSet → E} {D : NNReal}
(hf : LipschitzWith D f) (w : Tuple) {p : Base} (hp : p ∈ sheetDomain w) (v : Base) :
column (globalSheet hf w) v p = sheetColumn (embeddingSheet f w) (sheetDomain w) v p := by
have heq : globalSheet hf w =ᶠ[𝓝 p] embeddingSheet f w :=
(isOpen_sheetDomain w).eventually_mem hp |>.mono fun q hq => globalSheet_eqOn hf w hq
rw [column, heq.fderiv_eq]
simp only [sheetColumn, Set.indicator_of_mem hp]
theorem ae_globalSheet_pair {f : constructedSet → E} {D : NNReal}
(hf : LipschitzWith D f) (w : Tuple) :
∀ᵐ p, p ∈ sheetDomain w →
(‖column (globalSheet hf w) (1, 0) p‖ ^ 2,
‖column (globalSheet hf w) (0, 1) p‖ ^ 2) ∈ derivativeCompact f := by
filter_upwards [ae_good_embeddingSheet hf w] with p hp hmem
rw [column_globalSheet hf w hmem, column_globalSheet hf w hmem]
exact subset_closure ⟨w, p, hp hmem, rfl⟩
end Extensions
end
end DoublingHilbert
end
end OAI