openAI-math-dataset / lean /OAI /Geometry /RCD /Harmonic /BoundedTransversePotentials.lean
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import OAI.Geometry.RCD.Coordinates.TransverseFrameData
namespace OAI
/-! # Bounded axial and transverse potentials before imposing any Gram identities -/
open Set Filter MeasureTheory Finset
open scoped NNReal InnerProductSpace
noncomputable section
namespace RegularPointCoordinates
variable {X : Type*} [MetricSpace X] [MeasurableSpace X]
(μ : Measure X) (Q : QuadraticCheegerEnergy μ)
theorem bounded_transverse_potentials {n : ℕ} (u : Fin n → SobolevSpace μ Q)
(A : Fin n → ℝ≥0) (hA : ∀ i, ∀ᵐ x ∂μ, |SobolevSpace.toLp μ Q (u i) x|≤A i)
(Ω : Set X) (v : X → Euclidean n)
(hu : ∀ i, SobolevSpace.toLp μ Q (u i) =ᵐ[μ.restrict Ω] fun x => v x i)
(hH : ∀ i, IsSobolevHarmonicOn μ Q Ω (u i))
(a : Euclidean n) :
∃ (w s : SobolevSpace μ Q) (B D : ℝ≥0),
(∀ᵐ x ∂μ, |SobolevSpace.toLp μ Q w x|≤B) ∧
(∀ᵐ x ∂μ, |SobolevSpace.toLp μ Q s x|≤D) ∧
(SobolevSpace.toLp μ Q w =ᵐ[μ.restrict Ω] fun x => ⟪v x,a⟫_ℝ) ∧
(SobolevSpace.toLp μ Q s =ᵐ[μ.restrict Ω] fun x => ‖v x‖^2-⟪v x,a⟫_ℝ^2) ∧
IsSobolevHarmonicOn μ Q Ω w ∧
w=sobolevColumnMap μ Q u a ∧
s=(∑ i, SobolevSpace.square μ Q (u i) (A i))-SobolevSpace.square μ Q w B := by
let w := sobolevColumnMap μ Q u a
let B : ℝ≥0 := ∑ i, ‖a i‖₊*A i
have hwglobal : SobolevSpace.toLp μ Q w =ᵐ[μ]
fun x => ∑ i, a i*SobolevSpace.toLp μ Q (u i) x := by
have h := sobolevColumnMap_representative μ Q u univ
(fun x => WithLp.toLp 2 (fun i => SobolevSpace.toLp μ Q (u i) x))
(fun _ => EventuallyEq.rfl) a
simpa only [Measure.restrict_univ,PiLp.inner_apply,RCLike.inner_apply,conj_trivial] using h
have hwB : ∀ᵐ x ∂μ, |SobolevSpace.toLp μ Q w x|≤B := by
filter_upwards [hwglobal,ae_all_iff.mpr hA] with x hx hb
rw [hx]
calc
_ ≤ ∑ i, |a i*SobolevSpace.toLp μ Q (u i) x| := Finset.abs_sum_le_sum_abs _ _
_ ≤ ∑ i, |a i| * (A i:ℝ) := sum_le_sum (fun i _ => by
rw [abs_mul]; exact mul_le_mul_of_nonneg_left (hb i) (abs_nonneg _))
_ = B := by simp [B,Real.norm_eq_abs]
let z := ∑ i, SobolevSpace.square μ Q (u i) (A i)
have hz : SobolevSpace.toLp μ Q z =ᵐ[μ]
fun x => ∑ i, (SobolevSpace.toLp μ Q (u i) x)^2 := by
change SobolevSpace.toLpCLM μ Q (∑ i, SobolevSpace.square μ Q (u i) (A i)) =ᵐ[μ] _
rw [map_sum]
change (∑ i, SobolevSpace.toLp μ Q (SobolevSpace.square μ Q (u i) (A i))) =ᵐ[μ] _
filter_upwards [Lp.coeFn_finsetSum univ (fun i => SobolevSpace.toLp μ Q
(SobolevSpace.square μ Q (u i) (A i))),ae_all_iff.mpr
(fun i => SobolevSpace.square_coe μ Q (u i) (A i) (hA i))] with x hx hs
rw [hx]
simp only [Finset.sum_apply,hs]
let s := z-SobolevSpace.square μ Q w B
have hs : SobolevSpace.toLp μ Q s =ᵐ[μ]
fun x => (∑ i, (SobolevSpace.toLp μ Q (u i) x)^2)-(SobolevSpace.toLp μ Q w x)^2 := by
filter_upwards [hz,SobolevSpace.square_coe μ Q w B hwB,
Lp.coeFn_sub (SobolevSpace.toLp μ Q z) (SobolevSpace.toLp μ Q (SobolevSpace.square μ Q w B))]
with x hx hy hsub
change (SobolevSpace.toLp μ Q z-SobolevSpace.toLp μ Q (SobolevSpace.square μ Q w B)) x=_
simp only [hsub,Pi.sub_apply,hx,hy]
let D : ℝ≥0 := (∑ i, A i^2)+B^2
have hsD : ∀ᵐ x ∂μ, |SobolevSpace.toLp μ Q s x|≤D := by
filter_upwards [hs,ae_all_iff.mpr hA,hwB] with x hx hb hw
rw [hx]
calc
_ ≤ |∑ i, (SobolevSpace.toLp μ Q (u i) x)^2|+|(SobolevSpace.toLp μ Q w x)^2| := abs_sub _ _
_ = (∑ i, |SobolevSpace.toLp μ Q (u i) x|^2)+|SobolevSpace.toLp μ Q w x|^2 := by
rw [abs_of_nonneg (sum_nonneg (fun _ _ => sq_nonneg _))]
simp only [abs_pow,sq_abs]
_ ≤ (∑ i, (A i:ℝ)^2)+(B:ℝ)^2 := add_le_add
(sum_le_sum (fun i _ => pow_le_pow_left₀ (abs_nonneg _) (hb i) 2))
(pow_le_pow_left₀ (abs_nonneg _) hw 2)
_ = D := by simp [D]
have hw := sobolevColumnMap_representative μ Q u Ω v hu a
refine ⟨w,s,B,D,hwB,hsD,hw,?_,IsSobolevHarmonicOn.linearCombination μ Q hH a,rfl,rfl⟩
· filter_upwards [ae_restrict_of_ae hs,ae_all_iff.mpr hu,hw] with x hx hux hwx
rw [hx,hwx,EuclideanSpace.real_norm_sq_eq]
simp only [hux]
end RegularPointCoordinates
end
end OAI