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import OAI.Analysis.AllenCahn.RelativeDerivatives
namespace OAI
noncomputable section
namespace DeGiorgi
open scoped ContDiff
open Filter Topology
lemma bounded_log_gradient {n : ℕ} {v h r : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1)
(hh : ContDiff ℝ ∞ h) (hr : ContDiff ℝ ∞ r) {R C B M : ℝ}
(hR : 0 ≤ R) (hC : 0 ≤ C) (hB : 0 ≤ B) (hM : 0 ≤ M)
(heq : ∀ x, Laplacian.laplacian h x - fderiv ℝ h x (diffuseDrift v x) = r x - ‖gradient h x‖ ^ 2)
(hrb : ∀ x, |r x| ≤ R)
(hrdb : ∀ i x, |coordDeriv r i x| ≤ R * (1 + |coordDeriv h i x|))
(hcb : ∀ i k x, |coordDeriv (driftCoeff v k) i x| ≤ C)
(hbb : ∀ x, ‖diffuseDrift v x‖ ≤ B)
(hgb : ∀ x, ‖gradient h x‖ ≤ M) :
∀ x, ‖gradient h x‖ ^ 2 ≤
(3 * (n + 1)) * (6 * R ^ 2 + 6 * B ^ 2 + R * n + 3 * R + 2 * C * n + 2) := by
let A := 6 * R ^ 2 + 6 * B ^ 2 + R * n + 3 * R + 2 * C * n + 1
let N : ℝ := 3 * (n + 1)
let w := fun y => ‖gradient h y‖ ^ 2
let b := fun y => diffuseDrift v y - (2 : ℝ) • gradient h y
have hA : 0 ≤ A := by dsimp [A]; positivity
have hN : 0 < N := by dsimp [N]; positivity
have hN1 : 1 ≤ N := by dsimp [N]; have : (0 : ℝ) ≤ n := Nat.cast_nonneg n; linarith
have hw := smooth_C2 (gradient_norm_sq_smooth hh)
have hwb (x : Space n) : |w x| ≤ M ^ 2 := by
rw [abs_of_nonneg (sq_nonneg _)]
exact pow_le_pow_left₀ (norm_nonneg _) (hgb x) 2
have hbb' (x : Space n) : ‖b x‖ ≤ B + 2 * M := by
apply (norm_sub_le _ _).trans
rw [norm_smul, Real.norm_eq_abs, abs_of_nonneg (by norm_num : (0 : ℝ) ≤ 2)]
exact add_le_add (hbb x) (mul_le_mul_of_nonneg_left (hgb x) (by norm_num))
have hpde (x : Space n) : w x ^ 2 - A * N * w x - A * N ^ 2 ≤
N * (Laplacian.laplacian w x - fderiv ℝ w x (b x)) := by
let H := ∑ i : Fin n, ‖gradient (coordDeriv h i) x‖ ^ 2
let t := fderiv ℝ h x (diffuseDrift v x)
have hH : 0 ≤ H := Finset.sum_nonneg (fun _ _ => sq_nonneg _)
have hw0 : 0 ≤ w x := sq_nonneg _
have htrace := laplacian_sq_le_hessian hh x
have ht : |t| ≤ ‖gradient h x‖ * B := by
dsimp [t]
rw [← inner_gradient_left]
exact (abs_real_inner_le_norm _ _).trans (mul_le_mul_of_nonneg_left (hbb x) (norm_nonneg _))
have ht2 : t ^ 2 ≤ B ^ 2 * w x := by
have hh' := pow_le_pow_left₀ (abs_nonneg t) ht 2
simp only [sq_abs] at hh'
dsimp [w]; nlinarith
have hr2 : r x ^ 2 ≤ R ^ 2 := by
have hh' := pow_le_pow_left₀ (abs_nonneg (r x)) (hrb x) 2
simpa only [sq_abs] using hh'
have he := heq x
change Laplacian.laplacian h x - t = r x - w x at he
have htr : w x ^ 2 ≤ 3 * R ^ 2 + 3 * B ^ 2 * w x + N * H := by
have hs1 := sq_nonneg (r x - t)
have hs2 := sq_nonneg (r x + Laplacian.laplacian h x)
have hs3 := sq_nonneg (t + Laplacian.laplacian h x)
change Laplacian.laplacian h x ^ 2 ≤ n * H at htrace
dsimp [N]
nlinarith
have hlo := log_bochner_lower hv hi hh hr hR hC heq hrdb hcb x
change 2 * H - R * n - (3 * R + 2 * C * n) * w x ≤
Laplacian.laplacian w x - fderiv ℝ w x (b x) at hlo
have hlo' := mul_le_mul_of_nonneg_left hlo hN.le
have hAc : 6 * R ^ 2 + R * n ≤ A := by
dsimp [A]
have hc : 0 ≤ C * n := by positivity
nlinarith [sq_nonneg B]
have hAl : 6 * B ^ 2 + 3 * R + 2 * C * n ≤ A := by
dsimp [A]
have hp : 0 ≤ R * n := by positivity
nlinarith [sq_nonneg R]
have hAc' := mul_le_mul_of_nonneg_left hAc hN.le
have hAl' := mul_le_mul_of_nonneg_left hAl hN.le
have hc1 := mul_nonneg (sub_nonneg.mpr hN1) (sq_nonneg R)
have hc2 := mul_nonneg (sub_nonneg.mpr hN1) (sq_nonneg B)
have hc3 := mul_nonneg (mul_nonneg hA hN.le) (sub_nonneg.mpr hN1)
have hc4 : 0 ≤ (A * N - (6 * B ^ 2 + N * (3 * R + 2 * C * n))) * w x := by
apply mul_nonneg _ hw0
nlinarith
nlinarith [sq_nonneg (w x)]
have HH := bounded_drift_logistic_scaled hw b (sq_nonneg M) (by positivity) hA hN hwb hbb' hpde
intro x
convert HH x using 1; dsimp [A,N,w]; ring
lemma coordDeriv_div {n : ℕ} {f g : Space n → ℝ} (hf : Differentiable ℝ f)
(hg : Differentiable ℝ g) (hne : ∀ x, g x ≠ 0) (i : Fin n) (x : Space n) :
coordDeriv (fun y => f y / g y) i x =
(g x * coordDeriv f i x - f x * coordDeriv g i x) / g x ^ 2 := by
have hi := (hasDerivAt_inv (hne x)).comp_hasFDerivAt x (hg x).hasFDerivAt
have hh := ((hf x).hasFDerivAt.mul hi).fderiv
have he := congrArg (fun L : Space n →L[ℝ] ℝ => L (basis n i)) hh
change fderiv ℝ (fun y => f y * (g y)⁻¹) x (basis n i) = _
rw [show (fun y => f y * (g y)⁻¹) = f * (Inv.inv ∘ g) from rfl, hh]
simp only [add_apply, smul_apply, smul_smul, smul_eq_mul, Function.comp_def, coordDeriv]
field_simp [hne x]; ring
lemma coordDeriv_log {n : ℕ} {f : Space n → ℝ} (hf : Differentiable ℝ f)
(hne : ∀ x, f x ≠ 0) (i : Fin n) (x : Space n) :
coordDeriv (fun y => Real.log (f y)) i x = coordDeriv f i x / f x := by
simp only [coordDeriv, fderiv.log (hf x) (hne x), smul_apply, smul_eq_mul, div_eq_mul_inv]
ring
lemma gradient_log {n : ℕ} {f : Space n → ℝ} {x : Space n}
(hf : DifferentiableAt ℝ f x) (hne : f x ≠ 0) :
gradient (fun y => Real.log (f y)) x = (f x)⁻¹ • gradient f x := by
simp only [gradient, fderiv.log hf hne, map_smul]
lemma laplacian_log {n : ℕ} {f : Space n → ℝ} (hf : ContDiff ℝ 2 f)
(hne : ∀ x, f x ≠ 0) (x : Space n) :
Laplacian.laplacian (fun y => Real.log (f y)) x =
Laplacian.laplacian f x / f x - ‖gradient f x‖ ^ 2 / f x ^ 2 := by
have hd := hf.differentiable (by norm_num)
have he (i : Fin n) : coordDeriv (fun y => Real.log (f y)) i =
fun y => coordDeriv f i y / f y := funext (coordDeriv_log hd hne i)
rw [laplacian_eq_sum_coordDeriv (hf.log hne)]
simp_rw [he, coordDeriv_div ((coordDeriv_contDiff hf _).differentiable (by norm_num)) hd hne]
rw [laplacian_eq_sum_coordDeriv hf, gradient_norm_sq, Finset.sum_div, Finset.sum_div, ← Finset.sum_sub_distrib]
apply Finset.sum_congr rfl
intro i _
field_simp [hne x]
lemma drift_log {n : ℕ} {f : Space n → ℝ} (hf : ContDiff ℝ 2 f)
(hne : ∀ x, f x ≠ 0) (b : Space n → Space n) (x : Space n) :
Laplacian.laplacian (fun y => Real.log (f y)) x -
fderiv ℝ (fun y => Real.log (f y)) x (b x) =
(Laplacian.laplacian f x - fderiv ℝ f x (b x)) / f x -
‖gradient (fun y => Real.log (f y)) x‖ ^ 2 := by
rw [laplacian_log hf hne, fderiv.log (hf.differentiable (by norm_num) x) (hne x),
gradient_log (hf.differentiable (by norm_num) x) (hne x)]
simp only [smul_apply, smul_eq_mul, norm_smul, Real.norm_eq_abs, mul_pow, sq_abs, inv_pow]
ring
lemma gradient_add_const {n : ℕ} {f : Space n → ℝ} (hf : Differentiable ℝ f)
(c : ℝ) (x : Space n) : gradient (fun y => f y + c) x = gradient f x := by
simp only [gradient, fderiv_fun_add (hf x) (differentiableAt_const c), fderiv_const_apply, add_zero]
lemma coordDeriv_add_const {n : ℕ} {f : Space n → ℝ} (hf : Differentiable ℝ f)
(c : ℝ) (i : Fin n) (x : Space n) :
coordDeriv (fun y => f y + c) i x = coordDeriv f i x := by
simp only [coordDeriv, fderiv_fun_add (hf x) (differentiableAt_const c), fderiv_const_apply, add_zero]
lemma regularized_defect_log_bounds {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
{δ : ℝ} (hδ : 0 < δ) :
let e := fun y => diffuseDefect v y + δ
let h := fun y => Real.log (e y)
let r := fun y => defectSource v y / e y
(∀ x, Laplacian.laplacian h x - fderiv ℝ h x (diffuseDrift v x) = r x - ‖gradient h x‖ ^ 2) ∧
(∀ x, |r x| ≤ 2 * defectSourceConstant n) ∧
(∀ i x, |coordDeriv r i x| ≤ 2 * defectSourceConstant n * (1 + |coordDeriv h i x|)) := by
dsimp only
let e := fun y => diffuseDefect v y + δ
let h := fun y => Real.log (e y)
let r := fun y => defectSource v y / e y
have hD := diffuseDefect_nonneg (smooth_C2 hv) hi hAC
have hep (x : Space n) : 0 < e x := by dsimp [e]; linarith [hD x]
have hene (x : Space n) : e x ≠ 0 := ne_of_gt (hep x)
have hes : ContDiff ℝ ∞ e := (diffuseDefect_smooth hv hi).add contDiff_const
have hed := hes.differentiable (by simp)
have hDd := (diffuseDefect_smooth hv hi).differentiable (by simp)
have hsd := (defectSource_smooth hv hi).differentiable (by simp)
have hc := defectSource_bounds hv hi hAC
have hS := defectSourceConstant_pos n
have hde (x : Space n) : diffuseDefect v x ≤ e x := by dsimp [e]; linarith
have hrv (x : Space n) : |r x| ≤ defectSourceConstant n := by
dsimp [r]
rw [abs_div, abs_of_pos (hep x)]
apply (div_le_iff₀ (hep x)).mpr
exact (hc.1 x).trans (mul_le_mul_of_nonneg_left (hde x) hS.le)
have hei (i : Fin n) (x : Space n) : coordDeriv e i x = coordDeriv (diffuseDefect v) i x :=
coordDeriv_add_const hDd δ i x
have hhi (i : Fin n) (x : Space n) : coordDeriv h i x = coordDeriv (diffuseDefect v) i x / e x := by
rw [show h = fun y => Real.log (e y) from rfl, coordDeriv_log hed hene, hei]
constructor
· intro x
change Laplacian.laplacian h x - fderiv ℝ h x (diffuseDrift v x) = r x - ‖gradient h x‖ ^ 2
rw [show h = fun y => Real.log (e y) from rfl, drift_log (smooth_C2 hes) hene]
congr 2
rw [show e = fun y => diffuseDefect v y + δ from rfl,
laplacian_fun_add (smooth_C2 (diffuseDefect_smooth hv hi)) contDiff_const]
simp only [InnerProductSpace.laplacian_const, add_zero,
fderiv_fun_add (hDd x) (differentiableAt_const δ), fderiv_const_apply]
simpa using diffuseDefect_drift_eq_source hv hi hAC x
constructor
· intro x
exact (hrv x).trans (by linarith)
· intro i x
change |coordDeriv r i x| ≤ _
have hri : coordDeriv r i x = coordDeriv (defectSource v) i x / e x - r x * coordDeriv h i x := by
dsimp only [r]
rw [coordDeriv_div hsd hed hene, hei, hhi]
field_simp [hene x]
have hsi : |coordDeriv (defectSource v) i x| / e x ≤
defectSourceConstant n * (1 + |coordDeriv h i x|) := by
rw [hhi, abs_div, abs_of_pos (hep x)]
apply (div_le_iff₀ (hep x)).mpr
have hm := mul_le_mul_of_nonneg_left (hde x) hS.le
have heq : defectSourceConstant n * (1 + |coordDeriv (diffuseDefect v) i x| / e x) * e x =
defectSourceConstant n * e x + defectSourceConstant n * |coordDeriv (diffuseDefect v) i x| := by
field_simp [hene x]
rw [heq]
nlinarith [hc.2 i x]
rw [hri]
calc |coordDeriv (defectSource v) i x / e x - r x * coordDeriv h i x| ≤
|coordDeriv (defectSource v) i x / e x| + |r x * coordDeriv h i x| := abs_sub _ _
_ ≤ defectSourceConstant n * (1 + |coordDeriv h i x|) + defectSourceConstant n * |coordDeriv h i x| := by
rw [abs_div, abs_of_pos (hep x), abs_mul]
exact add_le_add hsi (mul_le_mul_of_nonneg_right (hrv x) (abs_nonneg _))
_ ≤ _ := by nlinarith
def relativeDefectConstant (n : ℕ) : ℝ :=
(3 * (n + 1)) * (6 * (2 * defectSourceConstant n) ^ 2 + 6 * (2 * Real.sqrt 2) ^ 2 +
(2 * defectSourceConstant n) * n + 3 * (2 * defectSourceConstant n) +
2 * tensorCoeffConstant n * n + 2) + 1
lemma relativeDefectConstant_pos (n : ℕ) : 0 < relativeDefectConstant n := by
have hS := defectSourceConstant_pos n
have hC := tensorCoeffConstant_pos n
dsimp [relativeDefectConstant]; positivity
lemma regularized_defect_gradient_bound {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
{δ : ℝ} (hδ : 0 < δ) (x : Space n) :
‖gradient (diffuseDefect v) x‖ ≤ relativeDefectConstant n * (diffuseDefect v x + δ) := by
let e := fun y => diffuseDefect v y + δ
let h := fun y => Real.log (e y)
let r := fun y => defectSource v y / e y
have hD := diffuseDefect_nonneg (smooth_C2 hv) hi hAC
have hep (y : Space n) : 0 < e y := by dsimp [e]; linarith [hD y]
have hene (y : Space n) : e y ≠ 0 := ne_of_gt (hep y)
have heδ (y : Space n) : δ ≤ e y := by dsimp [e]; linarith [hD y]
have hDs := diffuseDefect_smooth hv hi
have hDd := hDs.differentiable (by simp)
have hes : ContDiff ℝ ∞ e := hDs.add contDiff_const
have hhs : ContDiff ℝ ∞ h := hes.log hene
have hrs : ContDiff ℝ ∞ r := (defectSource_smooth hv hi).div hes hene
have hn (y : Space n) : ‖gradient h y‖ = ‖gradient (diffuseDefect v) y‖ / e y := by
dsimp only [h]
rw [gradient_log (hes.differentiable (by simp) y) (hene y),
gradient_add_const hDd δ, norm_smul, Real.norm_eq_abs, abs_inv, abs_of_pos (hep y)]
ring
let G : ℝ := 2 * n ^ 2 * (12 * (2 * Real.sqrt 2 + 1))
have hG : 0 ≤ G := by dsimp [G]; positivity
have hgb (y : Space n) : ‖gradient h y‖ ≤ G / δ := by
rw [hn]
apply (div_le_div_of_nonneg_right (diffuseDefect_gradient_uniform_bound hv hi hAC y) (hep y).le).trans
exact div_le_div_of_nonneg_left hG hδ (heδ y)
obtain ⟨hpde,hrb,hrdb⟩ := regularized_defect_log_bounds hv hi hAC hδ
have hS := defectSourceConstant_pos n
have hC := tensorCoeffConstant_pos n
have hcb (i k : Fin n) (y : Space n) : |coordDeriv (driftCoeff v k) i y| ≤ tensorCoeffConstant n :=
(tensorCoeff_C1Bound hv hi hAC).2.2.2.2 k |>.2 i y
have hbb (y : Space n) : ‖diffuseDrift v y‖ ≤ 2 * Real.sqrt 2 := diffuseDrift_bound (smooth_C2 hv) hi hAC y
have HH := bounded_log_gradient hv hi hhs hrs (show 0 ≤ 2 * defectSourceConstant n by positivity)
hC.le (show 0 ≤ 2 * Real.sqrt 2 by positivity) (div_nonneg hG hδ.le) hpde hrb hrdb hcb hbb hgb x
have hQ : 0 ≤ relativeDefectConstant n - 1 := by
simp only [relativeDefectConstant, add_sub_cancel_right]
positivity
have hbound : ‖gradient h x‖ ≤ relativeDefectConstant n := by
have HH' : ‖gradient h x‖ ^ 2 ≤ relativeDefectConstant n - 1 := by
simpa only [relativeDefectConstant, add_sub_cancel_right] using HH
nlinarith [sq_nonneg (‖gradient h x‖ - 1), norm_nonneg (gradient h x)]
rw [hn] at hbound
exact (div_le_iff₀ (hep x)).mp hbound
theorem diffuseDefect_relative_gradient_bound {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
(x : Space n) :
‖gradient (diffuseDefect v) x‖ ≤ relativeDefectConstant n * diffuseDefect v x := by
by_contra! hh
have hC := relativeDefectConstant_pos n
let δ := (‖gradient (diffuseDefect v) x‖ - relativeDefectConstant n * diffuseDefect v x) /
(2 * relativeDefectConstant n)
have hδ : 0 < δ := div_pos (sub_pos.mpr hh) (by positivity)
have H := regularized_defect_gradient_bound hv hi hAC hδ x
have he : relativeDefectConstant n * δ =
(‖gradient (diffuseDefect v) x‖ - relativeDefectConstant n * diffuseDefect v x) / 2 := by
dsimp [δ]
field_simp [hC.ne']
nlinarith
lemma diffuseDefect_log_lipschitz {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
(hp : ∀ x, 0 < diffuseDefect v x) (x y : Space n) :
|Real.log (diffuseDefect v y) - Real.log (diffuseDefect v x)| ≤
relativeDefectConstant n * ‖y - x‖ := by
let h := fun z => Real.log (diffuseDefect v z)
have hDs := diffuseDefect_smooth hv hi
have hh : ContDiff ℝ ∞ h := hDs.log (fun z => (hp z).ne')
have hgrad (z : Space n) : ‖gradient h z‖ ≤ relativeDefectConstant n := by
dsimp only [h]
rw [gradient_log (hDs.differentiable (by simp) z) (hp z).ne', norm_smul,
Real.norm_eq_abs, abs_inv, abs_of_pos (hp z)]
have H := diffuseDefect_relative_gradient_bound hv hi hAC z
calc (diffuseDefect v z)⁻¹ * ‖gradient (diffuseDefect v) z‖ ≤
(diffuseDefect v z)⁻¹ * (relativeDefectConstant n * diffuseDefect v z) :=
mul_le_mul_of_nonneg_left H (inv_nonneg.mpr (hp z).le)
_ = relativeDefectConstant n := by field_simp [(hp z).ne']
have H := Convex.norm_image_sub_le_of_norm_fderiv_le
(s := Set.univ) (fun z _ => hh.differentiable (by simp) z)
(fun z _ => show ‖fderiv ℝ h z‖ ≤ relativeDefectConstant n by
simpa only [gradient, LinearIsometryEquiv.norm_map] using hgrad z)
convex_univ (Set.mem_univ x) (Set.mem_univ y)
exact H
lemma diffuseDefect_exp_comparison_crude {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
(hp : ∀ x, 0 < diffuseDefect v x) (x y : Space n) :
diffuseDefect v y ≤ Real.exp (relativeDefectConstant n * ‖y - x‖) * diffuseDefect v x := by
have H := (abs_le.mp (diffuseDefect_log_lipschitz hv hi hAC hp x y)).2
have HH := Real.exp_le_exp.mpr H
rw [Real.exp_sub, Real.exp_log (hp y), Real.exp_log (hp x)] at HH
exact (div_le_iff₀ (hp x)).mp HH
lemma coordDeriv_comp_scalar {n : ℕ} {f : Space n → ℝ} {g : ℝ → ℝ}
(hf : Differentiable ℝ f) (hg : ∀ z, DifferentiableAt ℝ g (f z))
(i : Fin n) (x : Space n) :
coordDeriv (fun z => g (f z)) i x = deriv g (f x) * coordDeriv f i x := by
have H := (hg x).hasDerivAt.comp_hasFDerivAt x (hf x).hasFDerivAt
have He : fderiv ℝ (fun z => g (f z)) x = deriv g (f x) • fderiv ℝ f x := H.fderiv
simp only [coordDeriv, He, smul_apply, smul_eq_mul]
lemma laplacian_comp_scalar {n : ℕ} {f : Space n → ℝ} {g : ℝ → ℝ}
(hf : ContDiff ℝ 2 f) (hg : ContDiff ℝ 2 (fun z => g (f z)))
(hgd : ∀ z, DifferentiableAt ℝ g (f z))
(hgdd : ∀ z, DifferentiableAt ℝ (deriv g) (f z)) (x : Space n) :
Laplacian.laplacian (fun z => g (f z)) x =
deriv (deriv g) (f x) * ‖gradient f x‖ ^ 2 + deriv g (f x) * Laplacian.laplacian f x := by
have hd := hf.differentiable (by norm_num)
have hfirst (i : Fin n) : coordDeriv (fun z => g (f z)) i =
fun z => deriv g (f z) * coordDeriv f i z := by
funext z; exact coordDeriv_comp_scalar hd hgd i z
rw [laplacian_eq_sum_coordDeriv hg, laplacian_eq_sum_coordDeriv hf,
gradient_norm_sq]
simp_rw [hfirst]
have hsum (i : Fin n) :
coordDeriv (fun z => deriv g (f z) * coordDeriv f i z) i x =
deriv (deriv g) (f x) * coordDeriv f i x ^ 2 +
deriv g (f x) * coordDeriv (coordDeriv f i) i x := by
have hdd : Differentiable ℝ (fun z => deriv g (f z)) := fun z => (hgdd z).comp z (hd z)
rw [coordDeriv_mul hdd ((coordDeriv_contDiff hf i).differentiable (by norm_num)),
coordDeriv_comp_scalar hd hgdd]
ring
simp_rw [hsum]
rw [Finset.sum_add_distrib, Finset.mul_sum, Finset.mul_sum]
end DeGiorgi
end
end OAI