import Mathlib import OAI.Probability.SKGap.Terminal.GibbsExpectation namespace OAI section open scoped BigOperators open scoped BigOperators open scoped BigOperators open scoped BigOperators open scoped BigOperators open scoped BigOperators NNReal open MeasureTheory ProbabilityTheory open MeasureTheory ProbabilityTheory Filter open scoped BigOperators NNReal open MeasureTheory ProbabilityTheory open scoped BigOperators NNReal ENNReal open MeasureTheory ProbabilityTheory Filter open scoped BigOperators NNReal ENNReal open MeasureTheory ProbabilityTheory open scoped BigOperators Matrix Matrix.Norms.Elementwise open scoped BigOperators open MeasureTheory ProbabilityTheory open scoped BigOperators Matrix Matrix.Norms.Elementwise open scoped BigOperators open scoped BigOperators NNReal ENNReal open MeasureTheory Metric Set open scoped BigOperators NNReal ENNReal open MeasureTheory ProbabilityTheory Filter Set open scoped BigOperators NNReal ENNReal Matrix.Norms.L2Operator open MeasureTheory ProbabilityTheory Filter Set open scoped BigOperators Matrix.Norms.L2Operator open MeasureTheory ProbabilityTheory Filter Set open scoped BigOperators Matrix Matrix.Norms.Elementwise open MeasureTheory ProbabilityTheory Filter Set open MeasureTheory ProbabilityTheory Filter open scoped BigOperators ENNReal NNReal open MeasureTheory ProbabilityTheory Filter open scoped BigOperators NNReal ENNReal Matrix open MeasureTheory ProbabilityTheory Filter open scoped BigOperators ENNReal NNReal open MeasureTheory ProbabilityTheory Filter open scoped BigOperators NNReal ENNReal open scoped BigOperators namespace SKGapCutoff.Static noncomputable def conditionalMean {n : ℕ} (P : Spin n → ℝ) (x : Spin n) (i : Fin n) : ℝ := spin x i * ((P x - P (flip x i)) / (P x + P (flip x i))) noncomputable def lawDirichlet {n : ℕ} (P : Spin n → ℝ) (f : Spin n → ℝ) : ℝ := (∑ i, ∑ x, (P x * P (flip x i) / (P x + P (flip x i))) * (f x - f (flip x i)) ^ 2) / 2 noncomputable def lawDensityEnergy {n : ℕ} (P Q : Spin n → ℝ) : ℝ := lawDirichlet P (fun x => Real.sqrt (Q x / P x)) lemma binary_root_energy (p r q s : ℝ) (hp : 0 < p) (hr : 0 < r) (hq : 0 ≤ q) (hs : 0 ≤ s) : p * r / (p+r) * (Real.sqrt (q/p) - Real.sqrt (s/r))^2 = (Real.sqrt r * Real.sqrt q - Real.sqrt p * Real.sqrt s)^2 / (p+r) := by rw [Real.sqrt_div hq, Real.sqrt_div hs] have hp0 := Real.sqrt_pos.2 hp have hr0 := Real.sqrt_pos.2 hr have hp2 := Real.sq_sqrt hp.le have hr2 := Real.sq_sqrt hr.le field_simp rw [hp2, hr2] lemma binary_conditional_mean_energy (p r q s : ℝ) (hp : 0 < p) (hr : 0 < r) (hq : 0 ≤ q) (hs : 0 ≤ s) : (q+s) * ((q-s)/(q+s) - (p-r)/(p+r))^2 ≤ 4 * (Real.sqrt r * Real.sqrt q - Real.sqrt p * Real.sqrt s)^2 / (p+r) := by by_cases hqs : q+s=0 · have hq0 : q=0 := by linarith have hs0 : s=0 := by linarith simp [hq0, hs0] have hqt : 0 < q+s := lt_of_le_of_ne (add_nonneg hq hs) (Ne.symm hqs) have hpt : 0 < p+r := add_pos hp hr have hp2 := Real.sq_sqrt hp.le have hr2 := Real.sq_sqrt hr.le have hq2 := Real.sq_sqrt hq have hs2 := Real.sq_sqrt hs let a := Real.sqrt r * Real.sqrt q - Real.sqrt p * Real.sqrt s let b := Real.sqrt r * Real.sqrt q + Real.sqrt p * Real.sqrt s have hab : a*b = r*q-p*s := by dsimp [a,b] nlinarith only [hp2,hr2,hq2,hs2] have hb : b^2 ≤ (p+r)*(q+s) := by have he : (p+r)*(q+s)-b^2 = (Real.sqrt p * Real.sqrt q - Real.sqrt r * Real.sqrt s)^2 := by dsimp [b] nlinarith only [hp2,hr2,hq2,hs2] nlinarith only [he, sq_nonneg (Real.sqrt p * Real.sqrt q - Real.sqrt r * Real.sqrt s)] have hd : (q-s)/(q+s) - (p-r)/(p+r) = 2*(a*b)/((q+s)*(p+r)) := by rw [hab] field_simp ring rw [hd] change (q+s)*(2*(a*b)/((q+s)*(p+r)))^2 ≤ 4*a^2/(p+r) apply (le_div_iff₀ hpt).2 have hd2 : (q+s)*(2*(a*b)/((q+s)*(p+r)))^2*(p+r) = 4*a^2*b^2/((q+s)*(p+r)) := by field_simp; ring rw [hd2] apply (div_le_iff₀ (mul_pos hqt hpt)).2 nlinarith only [mul_le_mul_of_nonneg_left hb (show 0 ≤ 4*a^2 by positivity)] @[simp] lemma conditionalMean_flip {n : ℕ} (P : Spin n → ℝ) (x : Spin n) (i : Fin n) : conditionalMean P (flip x i) i = conditionalMean P x i := by simp only [conditionalMean, flip_flip, spin_flip_self] rw [add_comm (P (flip x i)), ← neg_sub (P x) (P (flip x i)), neg_div, neg_mul_neg] lemma lawDensityEnergy_eq {n : ℕ} (P Q : Spin n → ℝ) (hP : ∀ x, 0 < P x) (hQ : ∀ x, 0 ≤ Q x) : lawDensityEnergy P Q = (∑ i, ∑ x, (Real.sqrt (P (flip x i)) * Real.sqrt (Q x) - Real.sqrt (P x) * Real.sqrt (Q (flip x i)))^2 / (P x + P (flip x i))) / 2 := by unfold lawDensityEnergy lawDirichlet congr 1 apply Finset.sum_congr rfl intro i _ apply Finset.sum_congr rfl intro x _ exact binary_root_energy _ _ _ _ (hP x) (hP _) (hQ x) (hQ _) theorem conditional_means_energy {n : ℕ} (P Q : Spin n → ℝ) (hP : ∀ x, 0 < P x) (hQ : ∀ x, 0 ≤ Q x) : (∑ x, Q x * ∑ i, (conditionalMean Q x i - conditionalMean P x i)^2) ≤ 4 * lawDensityEnergy P Q := by rw [lawDensityEnergy_eq P Q hP hQ] simp_rw [Finset.mul_sum] rw [Finset.sum_comm] have hsym (i : Fin n) : (∑ x, Q (flip x i) * (conditionalMean Q x i - conditionalMean P x i)^2) = ∑ x, Q x * (conditionalMean Q x i - conditionalMean P x i)^2 := by simpa only [conditionalMean_flip] using sum_flip i (fun x => Q x * (conditionalMean Q x i - conditionalMean P x i)^2) have hlocal (i : Fin n) (x : Spin n) : (Q x + Q (flip x i)) * (conditionalMean Q x i - conditionalMean P x i)^2 ≤ 4 * (Real.sqrt (P (flip x i)) * Real.sqrt (Q x) - Real.sqrt (P x) * Real.sqrt (Q (flip x i)))^2 / (P x + P (flip x i)) := by have he : (conditionalMean Q x i - conditionalMean P x i)^2 = ((Q x-Q (flip x i))/(Q x+Q (flip x i)) - (P x-P (flip x i))/(P x+P (flip x i)))^2 := by simp only [conditionalMean, ← mul_sub, mul_pow, spin_sq, one_mul] rw [he] exact binary_conditional_mean_energy _ _ _ _ (hP x) (hP _) (hQ x) (hQ _) have hh (i : Fin n) := Finset.sum_le_sum (fun x (_ : x ∈ Finset.univ) => hlocal i x) simp only [add_mul, Finset.sum_add_distrib, hsym] at hh have hsum := Finset.sum_le_sum (fun i (_ : i ∈ Finset.univ) => hh i) simp only [Finset.sum_add_distrib, mul_div_assoc, ← Finset.mul_sum] at hsum ⊢ linarith only [hsum] lemma conditionalMean_mul_mass {n : ℕ} (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) (x : Spin n) (i : Fin n) : (Q x + Q (flip x i)) * conditionalMean Q x i = spin x i * (Q x-Q (flip x i)) := by unfold conditionalMean by_cases h : Q x + Q (flip x i) = 0 · have ha : Q x=0 := by have := hQ (flip x i); have := hQ x; linarith have hb : Q (flip x i)=0 := by have := hQ x; have := hQ (flip x i); linarith simp [ha,hb] · field_simp lemma conditionalMean_abs_le {n : ℕ} (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) (x : Spin n) (i : Fin n) : |conditionalMean Q x i| ≤ 1 := by have hs : |spin x i| = 1 := by cases hx : x i <;> simp [spin,hx] simp only [conditionalMean, abs_mul, hs, one_mul, abs_div] rw [abs_of_nonneg (add_nonneg (hQ x) (hQ _))] apply div_le_one_of_le₀ _ (add_nonneg (hQ x) (hQ _)) exact abs_sub_le_iff.2 ⟨by linarith [hQ (flip x i)], by linarith [hQ x]⟩ lemma law_coordinate_mean {n : ℕ} (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) (i : Fin n) (F : Spin n → ℝ) (hF : ∀ x, F (flip x i)=F x) : (∑ x, Q x * spin x i * F x) = ∑ x, Q x * conditionalMean Q x i * F x := by have ha := sum_flip i (fun x => Q x * spin x i * F x) have hb := sum_flip i (fun x => Q x * conditionalMean Q x i * F x) simp only [spin_flip_self, conditionalMean_flip, hF] at ha hb have he (x : Spin n) : Q x * spin x i * F x + Q (flip x i) * -spin x i * F x = Q x * conditionalMean Q x i * F x + Q (flip x i) * conditionalMean Q x i * F x := by have hm := conditionalMean_mul_mass Q hQ x i have := congrArg (fun z => z * F x) hm nlinarith only [this] have hh := Finset.sum_congr (s₁ := Finset.univ) (s₂ := Finset.univ) rfl (fun x _ => he x) simp only [Finset.sum_add_distrib, ha, hb] at hh linarith only [hh] lemma law_integration_by_parts {n : ℕ} (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) (i : Fin n) (F : Spin n → ℝ) : (∑ x, Q x * (spin x i - conditionalMean Q x i) * F x) = ∑ x, Q x * (1-spin x i*conditionalMean Q x i) * halfDiff i F x := by have hh : ∀ x, (F (flip x i) - spin (flip x i) i * halfDiff i F (flip x i)) = F x - spin x i * halfDiff i F x := by intro x rw [spin_flip_self, halfDiff_flip] linarith only [flip_sub i F x] have he := law_coordinate_mean Q hQ i (fun x => F x-spin x i*halfDiff i F x) hh have h1 (x : Spin n) : Q x * spin x i * (F x-spin x i*halfDiff i F x) = Q x*spin x i*F x - Q x*halfDiff i F x := by have hs := spin_sq x i nlinarith only [congrArg (fun z : ℝ => Q x*halfDiff i F x*z) hs] simp_rw [h1] at he simp only [mul_sub, Finset.sum_sub_distrib] at he have h2 (x : Spin n) : Q x * (spin x i - conditionalMean Q x i) * F x = Q x * spin x i * F x - Q x * conditionalMean Q x i * F x := by ring have h3 (x : Spin n) : Q x * (1-spin x i*conditionalMean Q x i) * halfDiff i F x = Q x * halfDiff i F x - Q x * conditionalMean Q x i * (spin x i * halfDiff i F x) := by ring simp_rw [h2, h3, Finset.sum_sub_distrib] linarith only [he] lemma law_integration_by_parts_variance {n : ℕ} (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) (i : Fin n) (F : Spin n → ℝ) : (∑ x, Q x * (spin x i-conditionalMean Q x i) * F x) = ∑ x, Q x*(1-(conditionalMean Q x i)^2)*halfDiff i F x := by rw [law_integration_by_parts Q hQ] have hh := law_coordinate_mean Q hQ i (fun x => conditionalMean Q x i*halfDiff i F x) (by intro x; rw [conditionalMean_flip,halfDiff_flip]) simp only [mul_sub,sub_mul,mul_one,Finset.sum_sub_distrib,pow_two,← mul_assoc] at hh ⊢ rw [hh] lemma gibbs_flipRate_fraction {n : ℕ} (J : Interaction n) (hJ : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0) (x : Spin n) (i : Fin n) : flipRate J x i = gibbs J (flip x i)/(gibbs J x+gibbs J (flip x i)) := by have hf : flipRate J (flip x i) i = 1-flipRate J x i := by simp only [flipRate, spin_flip_self, mean_flip J hdiag] ring have hh := gibbs_detailed_balance J hJ hdiag x i rw [hf] at hh apply (eq_div_iff (ne_of_gt (add_pos (gibbs_pos J x) (gibbs_pos J _)))).2 nlinarith only [hh] lemma conditionalMean_gibbs {n : ℕ} (J : Interaction n) (hJ : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0) (x : Spin n) (i : Fin n) : conditionalMean (gibbs J) x i = mean J x i := by have hh := gibbs_flipRate_fraction J hJ hdiag x i have hs := spin_sq x i have hr : (gibbs J x-gibbs J (flip x i))/(gibbs J x+gibbs J (flip x i)) = 1-2*flipRate J x i := by rw [hh] field_simp [ne_of_gt (add_pos (gibbs_pos J x) (gibbs_pos J (flip x i)))] ring rw [conditionalMean, hr, flipRate] nlinarith only [congrArg (fun z : ℝ => mean J x i*z) hs] lemma lawDirichlet_gibbs {n : ℕ} (J : Interaction n) (hJ : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0) (f : Spin n → ℝ) : lawDirichlet (gibbs J) f = dirichlet J f f := by have he (i : Fin n) : (∑ x, gibbs J x * flipRate J x i * (f x - f (flip x i))^2) = 2 * (∑ x, gibbs J x * siteVariance J x i * halfDiff i f x * halfDiff i f x) := by have hh := sum_flip i (fun x => gibbs J x * flipRate J x i * f x * (f x-f (flip x i))) simp only [gibbs_detailed_balance J hJ hdiag, flip_flip] at hh have hk (x : Spin n) : gibbs J x * flipRate J x i * (f x-f (flip x i))^2 = gibbs J x * flipRate J x i * f x * (f x-f (flip x i)) + gibbs J x * flipRate J x i * f (flip x i) * (f (flip x i)-f x) := by ring simp_rw [hk] rw [Finset.sum_add_distrib, hh] have hd : (∑ x, gibbs J x * flipRate J x i * f x * (f x-f (flip x i))) = ∑ x, gibbs J x * siteVariance J x i * halfDiff i f x * halfDiff i f x := by convert gibbs_edge_dirichlet J hJ hdiag i f f using 1 apply Finset.sum_congr rfl intro x _ ring rw [hd] ring unfold lawDirichlet simp_rw [mul_div_assoc, ← gibbs_flipRate_fraction J hJ hdiag] simp_rw [he] rw [← Finset.mul_sum] have hc (z : ℝ) : 2*z/2=z := by ring rw [hc] unfold dirichlet gibbsExpectation simp only [Finset.mul_sum] rw [Finset.sum_comm] apply Finset.sum_congr rfl intro i _ apply Finset.sum_congr rfl intro x _ ring theorem gibbs_conditional_means_energy {n : ℕ} (J : Interaction n) (hJ : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0) (Q : Spin n → ℝ) (hQ : ∀ x, 0 ≤ Q x) : (∑ x, Q x * ∑ i, (conditionalMean Q x i - mean J x i)^2) ≤ 4 * dirichlet J (fun x => Real.sqrt (Q x/gibbs J x)) (fun x => Real.sqrt (Q x/gibbs J x)) := by simpa only [conditionalMean_gibbs J hJ hdiag, lawDensityEnergy, lawDirichlet_gibbs J hJ hdiag] using conditional_means_energy (gibbs J) Q (gibbs_pos J) hQ lemma lawDensityEnergy_nonneg {n : ℕ} (P Q : Spin n → ℝ) (hP : ∀ x, 0 < P x) : 0 ≤ lawDensityEnergy P Q := by unfold lawDensityEnergy lawDirichlet apply div_nonneg _ (by norm_num) exact Finset.sum_nonneg (fun i _ => Finset.sum_nonneg (fun x _ => mul_nonneg (div_nonneg (mul_nonneg (hP x).le (hP _).le) (add_nonneg (hP x).le (hP _).le)) (sq_nonneg _))) lemma lawDensityEnergy_le {n : ℕ} (P Q : Spin n → ℝ) (hP : ∀ x, 0 < P x) (hQ : ∀ x, 0 ≤ Q x) : lawDensityEnergy P Q ≤ (n:ℝ) * ∑ x, Q x := by rw [lawDensityEnergy_eq P Q hP hQ] have hlocal (i : Fin n) (x : Spin n) : (Real.sqrt (P (flip x i))*Real.sqrt (Q x)- Real.sqrt (P x)*Real.sqrt (Q (flip x i)))^2/(P x+P (flip x i)) ≤ Q x+Q (flip x i) := by apply (div_le_iff₀ (add_pos (hP x) (hP _))).2 have ha := Real.sq_sqrt (hP x).le have hb := Real.sq_sqrt (hP (flip x i)).le have hc := Real.sq_sqrt (hQ x) have hd := Real.sq_sqrt (hQ (flip x i)) have he : (Real.sqrt (P (flip x i))*Real.sqrt (Q x))^2 = P (flip x i)*Q x := by rw [mul_pow, hb, hc] have hf : (Real.sqrt (P x)*Real.sqrt (Q (flip x i)))^2 = P x*Q (flip x i) := by rw [mul_pow, ha, hd] nlinarith only [he, hf, mul_nonneg (hP x).le (hQ x), mul_nonneg (hP (flip x i)).le (hQ (flip x i)), mul_nonneg (mul_nonneg (Real.sqrt_nonneg (P (flip x i))) (Real.sqrt_nonneg (Q x))) (mul_nonneg (Real.sqrt_nonneg (P x)) (Real.sqrt_nonneg (Q (flip x i))))] calc _ ≤ (∑ i : Fin n, ∑ x, (Q x+Q (flip x i)))/2 := by exact div_le_div_of_nonneg_right (Finset.sum_le_sum (fun i _ => Finset.sum_le_sum (fun x _ => hlocal i x))) (by norm_num) _ = _ := by simp only [Finset.sum_add_distrib, sum_flip, Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]; ring lemma weighted_cauchy_sq {α : Type*} [Fintype α] (w f g : α → ℝ) (hw : ∀ a, 0 ≤ w a) : (∑ a, w a*f a*g a)^2 ≤ (∑ a, w a*f a^2)*(∑ a, w a*g a^2) := by apply Finset.sum_sq_le_sum_mul_sum_of_sq_le_mul Finset.univ (fun a _ => mul_nonneg (hw a) (sq_nonneg _)) (fun a _ => mul_nonneg (hw a) (sq_nonneg _)) intro a _ exact le_of_eq (by ring) theorem weak_residual_base {n : ℕ} (P Q : Spin n → ℝ) (hP : ∀ x, 0 < P x) (hQ : ∀ x, 0 ≤ Q x) (hQsum : ∑ x, Q x=1) (U : Spin n → Fin n → ℝ) (A B : ℝ) (hB : 0 ≤ B) (hA : ∀ x, ∑ i, |halfDiff i (fun y => U y i) x| ≤ A) (hU : ∀ x, ∑ i, U x i^2 ≤ B^2) : |∑ x, Q x * ∑ i, (spin x i-conditionalMean P x i)*U x i| ≤ 2*A+2*B*Real.sqrt (lawDensityEnergy P Q) := by let a := ∑ x, Q x * ∑ i, (1-spin x i*conditionalMean Q x i) * halfDiff i (fun y => U y i) x let b := ∑ x, Q x * ∑ i, (conditionalMean Q x i-conditionalMean P x i)*U x i have he : (∑ x, Q x * ∑ i, (spin x i-conditionalMean P x i)*U x i) = a+b := by have hs (x : Spin n) (i : Fin n) : (spin x i-conditionalMean P x i)*U x i = (spin x i-conditionalMean Q x i)*U x i+ (conditionalMean Q x i-conditionalMean P x i)*U x i := by ring simp_rw [hs, Finset.sum_add_distrib, mul_add, Finset.sum_add_distrib] congr 1 dsimp [a] simp_rw [Finset.mul_sum] rw [Finset.sum_comm, Finset.sum_comm (f := fun x i => Q x*((1-spin x i*conditionalMean Q x i)*halfDiff i (fun y => U y i) x))] apply Finset.sum_congr rfl intro i _ simpa only [mul_assoc] using law_integration_by_parts Q hQ i (fun y => U y i) have ha : |a| ≤ 2*A := by have hs (x : Spin n) (i : Fin n) : |1-spin x i*conditionalMean Q x i| ≤ 2 := by have hsp : |spin x i|=1 := by cases hx : x i <;> simp [spin,hx] calc _ ≤ |(1:ℝ)|+|spin x i*conditionalMean Q x i| := abs_sub _ _ _ ≤ 2 := by rw [abs_one, abs_mul,hsp,one_mul]; linarith [conditionalMean_abs_le Q hQ x i] calc |a| ≤ ∑ x, |Q x * ∑ i, (1-spin x i*conditionalMean Q x i)*halfDiff i (fun y => U y i) x| := Finset.abs_sum_le_sum_abs .. _ = ∑ x, Q x * |∑ i, (1-spin x i*conditionalMean Q x i)*halfDiff i (fun y => U y i) x| := by simp only [abs_mul, abs_of_nonneg (hQ _)] _ ≤ ∑ x, Q x * (2*A) := by apply Finset.sum_le_sum intro x _ apply mul_le_mul_of_nonneg_left _ (hQ x) calc _ ≤ ∑ i, |(1-spin x i*conditionalMean Q x i)*halfDiff i (fun y => U y i) x| := Finset.abs_sum_le_sum_abs .. _ ≤ ∑ i, 2*|halfDiff i (fun y => U y i) x| := by apply Finset.sum_le_sum intro i _ rw [abs_mul] exact mul_le_mul_of_nonneg_right (hs x i) (abs_nonneg _) _ ≤ 2*A := by rw [← Finset.mul_sum]; exact mul_le_mul_of_nonneg_left (hA x) (by norm_num) _ = 2*A := by rw [← Finset.sum_mul, hQsum,one_mul] have hb : |b| ≤ 2*B*Real.sqrt (lawDensityEnergy P Q) := by have hcs := weighted_cauchy_sq (fun a : Spin n × Fin n => Q a.1) (fun a => conditionalMean Q a.1 a.2-conditionalMean P a.1 a.2) (fun a => U a.1 a.2) (fun a => hQ a.1) simp only [Fintype.sum_prod_type, mul_assoc, ← Finset.mul_sum] at hcs have hUb : (∑ x, Q x*∑ i, U x i^2) ≤ B^2 := by calc _ ≤ ∑ x, Q x*B^2 := Finset.sum_le_sum (fun x _ => mul_le_mul_of_nonneg_left (hU x) (hQ x)) _ = B^2 := by rw [← Finset.sum_mul,hQsum,one_mul] have hc := conditional_means_energy P Q hP hQ have hd := lawDensityEnergy_nonneg P Q hP have hUI : 0 ≤ ∑ x, Q x*∑ i, U x i^2 := by exact Finset.sum_nonneg (fun x _ => mul_nonneg (hQ x) (Finset.sum_nonneg (fun i _ => sq_nonneg _))) have hbound := mul_le_mul hc hUb hUI (show 0 ≤ 4*lawDensityEnergy P Q by positivity) have he2 := Real.sq_sqrt hd have hpos : 0 ≤ 2*B*Real.sqrt (lawDensityEnergy P Q) := by positivity apply (sq_le_sq₀ (abs_nonneg b) hpos).1 rw [sq_abs] have hid : (2*B*Real.sqrt (lawDensityEnergy P Q))^2 = 4*lawDensityEnergy P Q*B^2 := by rw [mul_pow,he2] ring rw [hid] exact hcs.trans hbound rw [he] exact (abs_add_le a b).trans (add_le_add ha hb) end SKGapCutoff.Static open MeasureTheory ProbabilityTheory open scoped BigOperators Matrix Matrix.Norms.Elementwise NNReal ENNReal end end OAI