openAI-math-dataset / lean /OAI /Analysis /AllenCahn /TensorBounds.lean
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import OAI.Analysis.AllenCahn.TensorCalculus
namespace OAI
noncomputable section
namespace DeGiorgi
open scoped ContDiff
open Filter Topology
lemma hessianSquare_drift_identity {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1)
(x : Space n) :
Laplacian.laplacian (hessianSquare v) x - fderiv ℝ (hessianSquare v) x (diffuseDrift v x) =
∑ i : Fin n, ∑ j : Fin n, (2 * ‖gradient (inverseHessian v i j) x‖ ^ 2 +
2 * inverseHessian v i j x * (Laplacian.laplacian (inverseHessian v i j) x -
fderiv ℝ (inverseHessian v i j) x (diffuseDrift v x))) := by
have hT (i j : Fin n) : ContDiff ℝ 2 (inverseHessian v i j) :=
smooth_C2 (inverseHessian_smooth hv hi i j)
have he : hessianSquare v = fun y => ∑ i : Fin n, ∑ j : Fin n, inverseHessian v i j y ^ 2 :=
funext (hessianSquare_eq_sum v)
rw [he, laplacian_sum _ (fun i _ => ContDiff.sum (fun j _ => (hT i j).pow 2))]
rw [fderiv_fun_sum (A := fun i y => ∑ j : Fin n, inverseHessian v i j y ^ 2)
(fun i _ => DifferentiableAt.fun_sum
(fun j _ => ((hT i j).differentiable (by norm_num) x).fun_pow 2))]
simp only [sum_apply, ← Finset.sum_sub_distrib]
apply Finset.sum_congr rfl
intro i _
rw [laplacian_sum _ (fun j _ => (hT i j).pow 2),
fderiv_fun_sum (A := fun j y => inverseHessian v i j y ^ 2)
(fun j _ => ((hT i j).differentiable (by norm_num) x).fun_pow 2)]
simp only [sum_apply, ← Finset.sum_sub_distrib]
apply Finset.sum_congr rfl
intro j _
exact drift_square_identity (hT i j) (diffuseDrift v) x
def tensorSystemConstant (n : ℕ) : ℝ :=
2 + 4 * n + 4 * n * (12 * (2 * Real.sqrt 2 + 1))
def tensorBernsteinConstant (n : ℕ) : ℝ := 1 + 2 * n ^ 2 * tensorSystemConstant n ^ 2
lemma hessianSquare_drift_lower {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) :
-tensorBernsteinConstant n * (hessianSquare v x + diffuseDefect v x ^ 2) ≤
Laplacian.laplacian (hessianSquare v) x - fderiv ℝ (hessianSquare v) x (diffuseDrift v x) := by
let C := tensorSystemConstant n
let S := Real.sqrt (hessianSquare v x)
have hC : 0 ≤ C := by dsimp [C, tensorSystemConstant]; positivity
have hS : 0 ≤ S := Real.sqrt_nonneg _
have hSsq : S ^ 2 = hessianSquare v x := Real.sq_sqrt (hessianSquare_nonneg v x)
have hD : 0 ≤ diffuseDefect v x := diffuseDefect_nonneg (smooth_C2 hv) hi hAC x
have hpair (i j : Fin n) :
-(inverseHessian v i j x ^ 2) - 2 * C ^ 2 * (hessianSquare v x + diffuseDefect v x ^ 2) ≤
2 * ‖gradient (inverseHessian v i j) x‖ ^ 2 +
2 * inverseHessian v i j x * (Laplacian.laplacian (inverseHessian v i j) x -
fderiv ℝ (inverseHessian v i j) x (diffuseDrift v x)) := by
let R := Laplacian.laplacian (inverseHessian v i j) x - fderiv ℝ (inverseHessian v i j) x (diffuseDrift v x)
have hR : |R| ≤ C * (diffuseDefect v x + S) := inverseHessian_drift_abs_bound hv hi hAC i j x
have hR2 : R ^ 2 ≤ 2 * C ^ 2 * (hessianSquare v x + diffuseDefect v x ^ 2) := by
calc R ^ 2 = |R| ^ 2 := (sq_abs R).symm
_ ≤ (C * (diffuseDefect v x + S)) ^ 2 := pow_le_pow_left₀ (abs_nonneg R) hR 2
_ = C ^ 2 * (diffuseDefect v x + S) ^ 2 := by ring
_ ≤ C ^ 2 * (2 * (hessianSquare v x + diffuseDefect v x ^ 2)) := by
apply mul_le_mul_of_nonneg_left _ (sq_nonneg C)
nlinarith [sq_nonneg (diffuseDefect v x - S)]
_ = _ := by ring
have hy := sq_nonneg (inverseHessian v i j x + R)
have hg := sq_nonneg ‖gradient (inverseHessian v i j) x‖
change _ ≤ 2 * ‖gradient (inverseHessian v i j) x‖ ^ 2 + 2 * inverseHessian v i j x * R
nlinarith
rw [hessianSquare_drift_identity hv hi]
have hsum := Finset.sum_le_sum (fun (i : Fin n) (_ : i ∈ Finset.univ) =>
Finset.sum_le_sum (fun (j : Fin n) (_ : j ∈ Finset.univ) => hpair i j))
apply le_trans _ hsum
simp only [Finset.sum_sub_distrib, Finset.sum_neg_distrib, Finset.sum_const,
Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]
rw [← hessianSquare_eq_sum]
dsimp only [tensorBernsteinConstant]
change -(1 + 2 * (n : ℝ) ^ 2 * C ^ 2) * (hessianSquare v x + diffuseDefect v x ^ 2) ≤ _
nlinarith [sq_nonneg (diffuseDefect v x)]
lemma diffuseDefect_drift_upper {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) :
Laplacian.laplacian (diffuseDefect v) x - fderiv ℝ (diffuseDefect v) x (diffuseDrift v x) ≤
2 * diffuseDefect v x - 2 * hessianSquare v x := by
rw [diffuseDefect_laplacian hv hi hAC]
have hD := diffuseDefect_nonneg (smooth_C2 hv) hi hAC x
have hp := inverseProfile_gradient_bound (smooth_C2 hv) hi hAC x
have hp0 := norm_nonneg (gradient (inverseProfile v) x)
have hp2 : ‖gradient (inverseProfile v) x‖ ^ 2 ≤ 1 := by nlinarith
have hq : defectWeight v x ≤ 1 := by dsimp [defectWeight]; nlinarith [sq_nonneg (v x)]
have hq0 : 0 ≤ defectWeight v x := (weight_pos (hi x)).le
have hh := mul_le_mul hq hp2 (sq_nonneg _) (by norm_num : (0 : ℝ) ≤ 1)
have hfinal := mul_le_mul_of_nonneg_left hh (show 0 ≤ 2 * diffuseDefect v x by positivity)
rw [diffuseDrift, map_smul, smul_eq_mul, ← inner_gradient_left, real_inner_comm]
dsimp only [hessianSquare]
nlinarith
theorem hessianSquare_le_defect {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) :
hessianSquare v x ≤ (tensorBernsteinConstant n + 3) * diffuseDefect v x := by
have hC : 0 ≤ tensorBernsteinConstant n := by dsimp [tensorBernsteinConstant]; positivity
have H := quotient_bernstein
(smooth_C2 (hessianSquare_smooth hv hi)) (smooth_C2 (diffuseDefect_smooth hv hi)) (diffuseDrift v)
(show 0 ≤ (n : ℝ) * (12 * (2 * Real.sqrt 2 + 1)) ^ 2 by positivity)
(show 0 ≤ 2 * Real.sqrt 2 by positivity)
(show 0 ≤ 2 * (n : ℝ) ^ 2 * (12 * (2 * Real.sqrt 2 + 1)) by positivity)
hC (by norm_num : (0 : ℝ) ≤ 2)
(fun y => ⟨hessianSquare_nonneg v y, hessianSquare_uniform_bound hv hi hAC y⟩)
(fun y => ⟨diffuseDefect_nonneg (smooth_C2 hv) hi hAC y, diffuseDefect_le_one v y⟩)
(diffuseDrift_bound (smooth_C2 hv) hi hAC) (diffuseDefect_gradient_uniform_bound hv hi hAC)
(hessianSquare_drift_lower hv hi hAC) (diffuseDefect_drift_upper hv hi hAC) x
convert H using 1
ring
lemma quotient_bernstein_linear {n : ℕ} {f d : Space n → ℝ}
(hf : ContDiff ℝ 2 f) (hd : ContDiff ℝ 2 d) (b : Space n → Space n)
{M B G A c : ℝ} (hM : 0 ≤ M) (hB : 0 ≤ B) (hG : 0 ≤ G)
(hA : 0 ≤ A) (hc : 0 ≤ c)
(hfb : ∀ x, 0 ≤ f x ∧ f x ≤ M) (hdb : ∀ x, 0 ≤ d x ∧ d x ≤ 1)
(hbb : ∀ x, ‖b x‖ ≤ B) (hgb : ∀ x, ‖gradient d x‖ ≤ G)
(hfde : ∀ x, -A * (f x + d x) ≤
Laplacian.laplacian f x - fderiv ℝ f x (b x))
(hdde : ∀ x, Laplacian.laplacian d x - fderiv ℝ d x (b x) ≤ c * d x - 2 * f x) :
∀ x, f x ≤ (A + c + 1) * d x := by
have hδ {δ : ℝ} (hδ : 0 < δ) (x : Space n) : f x ≤ (A + c + 1) * (d x + δ) := by
let e := fun y => d y + δ
let w := fun y => f y / e y
let b' := fun y => b y - (2 / e y) • gradient d y
have he : ContDiff ℝ 2 e := hd.add contDiff_const
have hep (y : Space n) : 0 < e y := by dsimp [e]; linarith [(hdb y).1]
have heδ (y : Space n) : δ ≤ e y := by dsimp [e]; linarith [(hdb y).1]
have hw : ContDiff ℝ 2 w := hf.div he (fun y => (hep y).ne')
have hwe (y : Space n) : w y * e y = f y := by dsimp [w]; field_simp [(hep y).ne']
have hwp (y : Space n) : 0 ≤ w y := div_nonneg (hfb y).1 (hep y).le
have hwb (y : Space n) : |w y| ≤ M / δ := by
rw [abs_of_nonneg (hwp y)]
exact div_le_div₀ hM (hfb y).2 hδ (heδ y)
have hb'b (y : Space n) : ‖b' y‖ ≤ B + 2 / δ * G := by
calc ‖b' y‖ ≤ ‖b y‖ + ‖(2 / e y) • gradient d y‖ := norm_sub_le _ _
_ = ‖b y‖ + 2 / e y * ‖gradient d y‖ := by
rw [norm_smul, Real.norm_eq_abs, abs_of_pos (div_pos (by norm_num) (hep y))]
_ ≤ B + 2 / δ * G := add_le_add (hbb y)
(mul_le_mul (div_le_div_of_nonneg_left (by norm_num) hδ (heδ y)) (hgb y)
(norm_nonneg _) (by positivity))
have hele (y : Space n) : Laplacian.laplacian e y = Laplacian.laplacian d y := by
rw [laplacian_fun_add hd contDiff_const]
simp
have hef (y : Space n) : fderiv ℝ e y = fderiv ℝ d y := by
dsimp [e]
rw [fderiv_fun_add (hd.differentiable (by norm_num) y) (differentiableAt_const δ)]
simp
have heg (y : Space n) : gradient e y = gradient d y := by simp only [gradient, hef]
have hwde (y : Space n) : w y ^ 2 - (A + c) * w y - (A + c) ≤
Laplacian.laplacian w y - fderiv ℝ w y (b' y) := by
have hI := drift_quotient_identity hf he (fun z => (hep z).ne') b y
change e y * (Laplacian.laplacian w y -
fderiv ℝ w y (b y - (2 / e y) • gradient e y)) = _ - w y * _ at hI
rw [heg, hele, hef] at hI
have h₁ := hfde y
have h₂ := mul_le_mul_of_nonneg_left (hdde y) (hwp y)
have h₃ : d y ≤ e y := by dsimp [e]; linarith
have h₄ : c * w y * d y ≤ c * w y * e y :=
mul_le_mul_of_nonneg_left (by dsimp [e]; linarith) (mul_nonneg hc (hwp y))
have h₅ := mul_le_mul_of_nonneg_left h₃ hA
have h₆ : 0 ≤ w y ^ 2 * e y := mul_nonneg (sq_nonneg _) (hep y).le
have h₇ : 0 ≤ c * e y := mul_nonneg hc (hep y).le
apply (mul_le_mul_iff_right₀ (hep y)).mp
dsimp only [b']
rw [← hwe y] at h₁ h₂
nlinarith
have hh := bounded_drift_logistic hw b'
(show 0 ≤ M / δ by positivity) (show 0 ≤ B + 2 / δ * G by positivity)
(add_nonneg hA hc) hwb hb'b hwde x
have hh' := mul_le_mul_of_nonneg_right hh (hep x).le
rw [hwe] at hh'
exact hh'
intro x
by_contra h
have hh : 0 < f x - (A + c + 1) * d x := sub_pos.mpr (lt_of_not_ge h)
let δ := (f x - (A + c + 1) * d x) / (2 * (A + c + 1))
have hK : 0 < A + c + 1 := by linarith
have hδp : 0 < δ := div_pos hh (by linarith)
have hh' := hδ hδp x
dsimp [δ] at hh'
have hrel : (A + c + 1) * ((f x - (A + c + 1) * d x) / (2 * (A + c + 1))) =
(f x - (A + c + 1) * d x) / 2 := by field_simp
rw [mul_add, hrel] at hh'
linarith
def C1Bound {n : ℕ} (f : Space n → ℝ) (C : ℝ) : Prop :=
(∀ x, |f x| ≤ C) ∧ ∀ i x, |coordDeriv f i x| ≤ C
lemma C1Bound.mono {n : ℕ} {f : Space n → ℝ} {C K : ℝ}
(h : C1Bound f C) (hCK : C ≤ K) : C1Bound f K :=
⟨fun x => (h.1 x).trans hCK, fun i x => (h.2 i x).trans hCK⟩
lemma C1Bound.const {n : ℕ} (c : ℝ) : C1Bound (fun _ : Space n => c) |c| := by
constructor
· intro x; rfl
· intro i x; simp [coordDeriv]
lemma C1Bound.neg {n : ℕ} {f : Space n → ℝ} {C : ℝ}
(hf : Differentiable ℝ f) (h : C1Bound f C) : C1Bound (fun x => -f x) C := by
constructor
· intro x; simpa using h.1 x
· intro i x
change |fderiv ℝ (-f) x (basis n i)| ≤ C
rw [(hf x).hasFDerivAt.neg.fderiv]
simpa only [neg_apply, abs_neg, coordDeriv] using h.2 i x
lemma C1Bound.mul {n : ℕ} {f g : Space n → ℝ} {C K : ℝ}
(hf : Differentiable ℝ f) (hg : Differentiable ℝ g)
(hC : 0 ≤ C) (hK : 0 ≤ K) (h : C1Bound f C) (h' : C1Bound g K) :
C1Bound (fun x => f x * g x) (2 * C * K) := by
constructor
· intro x
rw [abs_mul]
have hh := mul_le_mul (h.1 x) (h'.1 x) (abs_nonneg _) hC
nlinarith
· intro i x
rw [coordDeriv_mul hf hg]
calc |f x * coordDeriv g i x + g x * coordDeriv f i x| ≤
|f x * coordDeriv g i x| + |g x * coordDeriv f i x| := abs_add_le _ _
_ ≤ C * K + K * C := by
simp only [abs_mul]
exact add_le_add (mul_le_mul (h.1 x) (h'.2 i x) (abs_nonneg _) hC)
(mul_le_mul (h'.1 x) (h.2 i x) (abs_nonneg _) hK)
_ = _ := by ring
lemma C1Bound.const_mul {n : ℕ} {f : Space n → ℝ} {C : ℝ}
(hf : Differentiable ℝ f) (_hC : 0 ≤ C) (h : C1Bound f C) (a : ℝ) :
C1Bound (fun x => a * f x) (|a| * C) := by
constructor
· intro x; rw [abs_mul]; exact mul_le_mul_of_nonneg_left (h.1 x) (abs_nonneg _)
· intro i x
change |fderiv ℝ (fun x => a * f x) x (basis n i)| ≤ _
rw [fderiv_const_mul (hf x)]
simp only [smul_apply, smul_eq_mul, abs_mul]
change |a| * |coordDeriv f i x| ≤ _
exact mul_le_mul_of_nonneg_left (h.2 i x) (abs_nonneg _)
lemma inverseHessian_gradient_uniform_bound {n : ℕ} {v : Space n → ℝ}
(hv : ContDiff ℝ ∞ v) (hi : ∀ x, v x ∈ Set.Ioo (-1 : ℝ) 1) (hAC : AllenCahn v)
(i j : Fin n) (x : Space n) :
‖gradient (inverseHessian v i j) x‖ ≤
2 * (2 * (12 * (2 * Real.sqrt 2 + 1)) +
tensorSystemConstant n * (1 + (n + 1) * (12 * (2 * Real.sqrt 2 + 1))) + 3) *
(2 * Real.sqrt 2 + 1) := by
let K := 12 * (2 * Real.sqrt 2 + 1)
have hK : 0 ≤ K := by dsimp [K]; positivity
have hC : 0 ≤ tensorSystemConstant n := by dsimp [tensorSystemConstant]; positivity
apply PoissonSupport.DeGiorgi.bounded_drift_gradient
(smooth_C2 (inverseHessian_smooth hv hi i j)) (diffuseDrift v) hK (by positivity)
(by positivity) (inverseHessian_abs_le hv hi hAC i j) (diffuseDrift_bound (smooth_C2 hv) hi hAC)
intro y
apply (inverseHessian_drift_abs_bound hv hi hAC i j y).trans
apply mul_le_mul_of_nonneg_left _ hC
apply add_le_add (diffuseDefect_le_one v y)
have hs := Real.sq_sqrt (hessianSquare_nonneg v y)
have hh := hessianSquare_uniform_bound hv hi hAC y
have hn : 0 ≤ (n : ℝ) := Nat.cast_nonneg n
have hk : 0 ≤ (n + 1 : ℝ) * K := by positivity
have hmul : (n : ℝ) * K ^ 2 ≤ ((n + 1 : ℝ) * K) ^ 2 := by
nlinarith [mul_nonneg (sq_nonneg (n : ℝ)) (sq_nonneg K), mul_nonneg hn (sq_nonneg K)]
change hessianSquare v y ≤ (n : ℝ) * K ^ 2 at hh
nlinarith [Real.sqrt_nonneg (hessianSquare v y)]
def inverseJetConstant (n : ℕ) : ℝ :=
1 + 12 * (2 * Real.sqrt 2 + 1) +
2 * (n : ℝ) * (12 * (2 * Real.sqrt 2 + 1)) +
2 * (2 * (12 * (2 * Real.sqrt 2 + 1)) +
tensorSystemConstant n * (1 + (n + 1) * (12 * (2 * Real.sqrt 2 + 1))) + 3) *
(2 * Real.sqrt 2 + 1)
lemma inverseJetConstant_one_le (n : ℕ) : 1 ≤ inverseJetConstant n := by
change 1 ≤ 1 + _ + _ + _
have ha : 0 ≤ 12 * (2 * Real.sqrt 2 + 1) := by positivity
have hb : 0 ≤ 2 * (n : ℝ) * (12 * (2 * Real.sqrt 2 + 1)) := by positivity
have hc : 0 ≤ tensorSystemConstant n := by dsimp [tensorSystemConstant]; positivity
have hd : 0 ≤ 2 * (2 * (12 * (2 * Real.sqrt 2 + 1)) +
tensorSystemConstant n * (1 + (n + 1) * (12 * (2 * Real.sqrt 2 + 1))) + 3) *
(2 * Real.sqrt 2 + 1) := by positivity
linarith
end DeGiorgi
end
end OAI