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import Mathlib
import OAI.Probability.SKRatio.FiniteChain.Mean
import OAI.Probability.SKRatio.Calculus.RowControl
namespace OAI
section
noncomputable section
open scoped BigOperators Topology Matrix
open ContinuousLinearMap
namespace SKRatio.Calculus
open Real Set
lemma gradientForm_pairs_bound {n : ℕ} (J : Interaction n)
(hsymm : ∀ i j, J i j = J j i) (p : Fin n → ℝ) :
pairSum (fun i j =>
J i j^2 * (conditionalVariance J (plusSpin n) j * p i +
conditionalVariance J (plusSpin n) i * p j)^2 /
(gradientWeight J (plusSpin n) i + gradientWeight J (plusSpin n) j)) ≤
(32/27)*R2 J * ∑ i, p i^2 := by
have hpoint (i j : Fin n) :
(conditionalVariance J (plusSpin n) j * p i +
conditionalVariance J (plusSpin n) i * p j)^2 /
(gradientWeight J (plusSpin n) i + gradientWeight J (plusSpin n) j) ≤
(32/27)*(p i^2+p j^2) := by
have habs : |conditionalVariance J (plusSpin n) j * p i +
conditionalVariance J (plusSpin n) i * p j| ≤
conditionalVariance J (plusSpin n) j * |p i| +
conditionalVariance J (plusSpin n) i * |p j| := by
simpa only [abs_mul, abs_of_pos (conditionalVariance_pos J (plusSpin n) j),
abs_of_pos (conditionalVariance_pos J (plusSpin n) i)] using abs_add_le
(conditionalVariance J (plusSpin n) j * p i) (conditionalVariance J (plusSpin n) i * p j)
have hsquare := pow_le_pow_left₀ (abs_nonneg _) habs 2
rw [sq_abs] at hsquare
refine (div_le_div_of_nonneg_right hsquare
(add_pos (gradientWeight_pos J (plusSpin n) i) (gradientWeight_pos J (plusSpin n) j)).le).trans ?_
simpa only [conditionalVariance, mean_weight_plus, mean] using
(scalar_pair_denominator_control
(Real.neg_one_lt_tanh (field J (plusSpin n) i)).le
(Real.tanh_lt_one (field J (plusSpin n) i))
(Real.neg_one_lt_tanh (field J (plusSpin n) j)).le
(Real.tanh_lt_one (field J (plusSpin n) j)) (pi := p i) (pj := p j))
have hp := pairSum_le (fun i j (_ : i < j) =>
mul_le_mul_of_nonneg_left (hpoint i j) (sq_nonneg (J i j)))
simp only [← mul_assoc] at hp
have hr := mul_le_mul_of_nonneg_left (pair_row_bound J hsymm p 2)
(by norm_num : (0:ℝ) ≤ 32/27)
have hid : pairSum (fun i j => J i j^2 * (32/27) * (p i^2+p j^2)) =
(32/27)*pairSum (fun i j => |J i j|^2 * (p i^2+p j^2)) := by
rw [← pairSum_mul]
unfold pairSum
simp only [sq_abs]
congr 1
ext i
congr 1
ext j
ring
rw [hid] at hp
simpa only [mul_div_assoc, mul_assoc] using hp.trans hr
theorem rough_gradient_bound {n : ℕ} (J : Interaction n)
(hsymm : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0) (p : Fin n → ℝ) :
gradientForm J p ≤ (euclideanOpNorm J +
(4/(3*Real.sqrt 3)+32/27)*R2 J) * ∑ i, p i^2 := by
have h₁ := gradientForm_linear_bound J hdiag p
have h₂ := gradientForm_quadratic_bound J hsymm p
have h₃ := gradientForm_pairs_bound J hsymm p
unfold gradientForm
linarith only [h₁, h₂, h₃]
def signedVector {n : ℕ} (x : Spin n) (p : EuclideanSpace ℝ (Fin n)) :
EuclideanSpace ℝ (Fin n) := WithLp.toLp 2 (fun i => spin x i * p.ofLp i)
@[simp] lemma norm_signedVector {n : ℕ} (x : Spin n) (p : EuclideanSpace ℝ (Fin n)) :
‖signedVector x p‖ = ‖p‖ := by
apply (sq_eq_sq₀ (norm_nonneg _) (norm_nonneg _)).mp
simp only [EuclideanSpace.real_norm_sq_eq, signedVector, mul_pow, spin_sq, one_mul]
lemma signConjugate_action {n : ℕ} (J : Interaction n) (x : Spin n)
(p : EuclideanSpace ℝ (Fin n)) :
Matrix.toEuclideanCLM (𝕜 := ℝ) (n := Fin n) (signConjugate x J) p =
signedVector x (Matrix.toEuclideanCLM (𝕜 := ℝ) (n := Fin n) J (signedVector x p)) := by
apply WithLp.ofLp_injective
funext i
change (∑ j, signConjugate x J i j * p.ofLp j) =
spin x i * (∑ j, J i j * (spin x j * p.ofLp j))
simp only [signConjugate, Finset.mul_sum]
apply Finset.sum_congr rfl
intro j _
ring
lemma euclideanOpNorm_signConjugate_le {n : ℕ} (J : Interaction n) (x : Spin n) :
euclideanOpNorm (signConjugate x J) ≤ euclideanOpNorm J := by
apply ContinuousLinearMap.opNorm_le_bound _ (euclideanOpNorm_nonneg J)
intro p
rw [signConjugate_action, norm_signedVector]
simpa only [norm_signedVector, euclideanOpNorm] using
(Matrix.toEuclideanCLM (𝕜 := ℝ) (n := Fin n) J).le_opNorm (signedVector x p)
@[simp] lemma signConjugate_twice {n : ℕ} (J : Interaction n) (x : Spin n) :
signConjugate x (signConjugate x J) = J := by
funext i j
simp only [signConjugate]
calc
_ = (spin x i)^2 * (spin x j)^2 * J i j := by ring
_ = J i j := by simp only [spin_sq, one_mul]
@[simp] lemma euclideanOpNorm_signConjugate {n : ℕ} (J : Interaction n) (x : Spin n) :
euclideanOpNorm (signConjugate x J) = euclideanOpNorm J := by
exact le_antisymm (euclideanOpNorm_signConjugate_le J x)
(by simpa only [signConjugate_twice] using euclideanOpNorm_signConjugate_le (signConjugate x J) x)
theorem gradient_global_bound {n : ℕ} (J : Interaction n)
(hsymm : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0)
(hsmall : ∀ i j, |J i j| ≤ 1/10) (f : Observables n) (t : ℝ) (x : Spin n) :
deriv (fun s => unweightedGradient (semigroup J s f) x) t -
generator J (unweightedGradient (semigroup J t f)) x ≤
2*(-1+euclideanOpNorm J+(4/(3*Real.sqrt 3)+32/27)*R2 J+16*R3 J) *
unweightedGradient (semigroup J t f) x := by
have hlocal := pointwise_gradient_local_bound J hsymm hdiag hsmall f t x
have hform := rough_gradient_bound (signConjugate x J) (signConjugate_symm J hsymm x)
(signConjugate_diag J hdiag x) (fun i => spin x i * halfDiff i (semigroup J t f) x)
simp only [euclideanOpNorm_signConjugate, R2, rowControl_signConjugate, mul_pow, spin_sq, one_mul] at hform
change gradientForm _ _ ≤ _ * unweightedGradient (semigroup J t f) x at hform
linarith only [hlocal, hform]
lemma rough_coefficient_lt_two : 4/(3*Real.sqrt 3)+32/27 < (2:ℝ) := by
have hs : 0 < Real.sqrt 3 := Real.sqrt_pos.2 (by norm_num)
have hs2 : (Real.sqrt 3)^2 = 3 := Real.sq_sqrt (by norm_num)
have hslo : (18/11:ℝ) < Real.sqrt 3 := by nlinarith only [hs2, hs]
have h : 4/(3*Real.sqrt 3) < (22/27:ℝ) :=
(div_lt_iff₀ (by positivity : 0 < 3*Real.sqrt 3)).mpr (by linarith only [hslo])
linarith only [h]
theorem gradient_dissipation_small_norm {n : ℕ} (J : Interaction n)
(hsymm : ∀ i j, J i j = J j i) (hdiag : ∀ i, J i i = 0)
(hsmall : ∀ i j, |J i j| ≤ 1/10)
(hop : euclideanOpNorm J ≤ 7/10+1/10000)
(hr2 : R2 J ≤ 49/400+1/10000) (hr3 : R3 J ≤ 1/10000)
(f : Observables n) (t : ℝ) (x : Spin n) :
deriv (fun s => unweightedGradient (semigroup J s f) x) t -
generator J (unweightedGradient (semigroup J t f)) x ≤
-(1/10:ℝ) * unweightedGradient (semigroup J t f) x := by
have h := gradient_global_bound J hsymm hdiag hsmall f t x
have hc : 2*(-1+euclideanOpNorm J+(4/(3*Real.sqrt 3)+32/27)*R2 J+16*R3 J) ≤ -(1/10:ℝ) := by
have hm := mul_le_mul_of_nonneg_right rough_coefficient_lt_two.le (rowControl_nonneg J 2)
linarith only [hm, hop, hr2, hr3]
exact h.trans (mul_le_mul_of_nonneg_right hc
(Finset.sum_nonneg (fun i _ => sq_nonneg (halfDiff i (semigroup J t f) x))))
noncomputable def attemptLM {n : ℕ} (J : Interaction n) :
Observables n →L[ℝ] Observables n :=
1 + (n : ℝ)⁻¹ • generatorCLM J
noncomputable def continuousKernel {n : ℕ} (J : Interaction n) (t : ℝ) :
Matrix (Spin n) (Spin n) ℝ := fun x y =>
semigroup J t (fun z => if z = y then 1 else 0) x
noncomputable def siteRefresh {n : ℕ} (J : Interaction n) (i : Fin n)
(f : Observables n) (x : Spin n) : ℝ :=
((1 + mean J x i) / 2) * f (replace x i true) +
((1 - mean J x i) / 2) * f (replace x i false)
theorem generator_siteRefresh {n : ℕ} (J : Interaction n) (f : Observables n)
(x : Spin n) : generator J f x = ∑ i, (siteRefresh J i f x - f x) := by
apply Finset.sum_congr rfl
intro i _
have hx : replace x i (x i) = x := replace_self x i
cases hi : x i <;> simp only [hi] at hx
· simp only [halfDiff, spin, hi, Bool.false_eq_true, ↓reduceIte, siteRefresh]
rw [hx]
ring
· simp only [halfDiff, spin, hi, ↓reduceIte, siteRefresh]
rw [hx]
ring
theorem attempt_apply_of_pos {n : ℕ} (hn : 0 < n) (J : Interaction n)
(f : Observables n) (x : Spin n) :
attemptLM J f x = (∑ i, siteRefresh J i f x) / (n : ℝ) := by
have hn' : (n : ℝ) ≠ 0 := by exact_mod_cast ne_of_gt hn
change f x + (n : ℝ)⁻¹ * generator J f x = _
rw [generator_siteRefresh, Finset.sum_sub_distrib]
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]
field_simp
ring
@[simp] theorem generator_const {n : ℕ} (J : Interaction n) (a : ℝ) (x : Spin n) :
generator J (fun _ => a) x = 0 := by
simp [generator]
@[simp] theorem siteRefresh_const {n : ℕ} (J : Interaction n) (i : Fin n)
(a : ℝ) (x : Spin n) : siteRefresh J i (fun _ => a) x = a := by
unfold siteRefresh
ring
@[simp] theorem attempt_const {n : ℕ} (J : Interaction n) (a : ℝ) :
attemptLM J (fun _ => a) = fun _ => a := by
funext x
change a + (n : ℝ)⁻¹ * generator J (fun _ => a) x = a
simp
@[simp] theorem attempt_pow_const {n : ℕ} (J : Interaction n) (k : ℕ) (a : ℝ) :
(attemptLM J ^ k) (fun _ => a) = fun _ => a := by
induction k with
| zero => simp
| succ k ih => simp only [pow_succ', mul_apply_eq_comp, ih, attempt_const]
theorem siteRefresh_nonneg {n : ℕ} (J : Interaction n) (i : Fin n)
(f : Observables n) (hf : ∀ x, 0 ≤ f x) (x : Spin n) :
0 ≤ siteRefresh J i f x := by
have hm1 : -1 ≤ mean J x i := le_of_lt (Real.neg_one_lt_tanh _)
have hm2 : mean J x i ≤ 1 := le_of_lt (Real.tanh_lt_one _)
exact add_nonneg (mul_nonneg (by linarith) (hf _))
(mul_nonneg (by linarith) (hf _))
theorem attempt_nonneg {n : ℕ} (J : Interaction n) (f : Observables n)
(hf : ∀ x, 0 ≤ f x) (x : Spin n) : 0 ≤ attemptLM J f x := by
by_cases hn : n = 0
· subst n
simpa [attemptLM] using hf x
· rw [attempt_apply_of_pos (Nat.pos_of_ne_zero hn)]
exact div_nonneg (Finset.sum_nonneg (fun _ _ => siteRefresh_nonneg J _ f hf x))
(Nat.cast_nonneg n)
theorem attempt_pow_nonneg {n : ℕ} (J : Interaction n) (k : ℕ) (f : Observables n)
(hf : ∀ x, 0 ≤ f x) (x : Spin n) : 0 ≤ (attemptLM J ^ k) f x := by
induction k generalizing x with
| zero => simpa using hf x
| succ k ih =>
simp only [pow_succ', mul_apply_eq_comp]
exact attempt_nonneg J _ ih x
theorem exp_apply_hasSum {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] (A : E →L[ℝ] E) (f : E) :
HasSum (fun k : ℕ => (k.factorial : ℝ)⁻¹ • ((A ^ k) f))
(NormedSpace.exp A f) := by
simpa only [NormedSpace.expSeries_apply_eq, ContinuousLinearMap.apply_apply,
smul_apply] using
(ContinuousLinearMap.apply ℝ E f).hasSum
(NormedSpace.expSeries_hasSum_exp (𝕂 := ℝ) A)
theorem exp_apply_of_apply_eq_zero {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [CompleteSpace E] (A : E →L[ℝ] E) (f : E)
(h : A f = 0) : NormedSpace.exp A f = f := by
have hp (k : ℕ) : (A ^ (k + 1)) f = 0 := by
induction k with
| zero => simpa using h
| succ k ih => rw [pow_succ', mul_apply_eq_comp, ih, map_zero]
have hs : HasSum (fun k : ℕ => (k.factorial : ℝ)⁻¹ • ((A ^ k) f)) f := by
convert hasSum_ite_eq 0 f using 1
funext k
cases k with
| zero => simp
| succ k => simp [hp]
exact (exp_apply_hasSum A f).unique hs
@[simp] theorem semigroup_const {n : ℕ} (J : Interaction n) (t a : ℝ) :
semigroup J t (fun _ => a) = fun _ => a := by
apply exp_apply_of_apply_eq_zero
funext x
change t * generator J (fun _ => a) x = 0
simp
theorem exp_smul_identity {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] (a : ℝ) :
NormedSpace.exp (a • (1 : E →L[ℝ] E)) = Real.exp a • (1 : E →L[ℝ] E) := by
simpa only [Algebra.algebraMap_eq_smul_one, ← Real.exp_eq_exp_ℝ] using
(NormedSpace.algebraMap_exp_comm (𝔸 := E →L[ℝ] E) a).symm
theorem semigroup_uniformization {n : ℕ} (hn : 0 < n) (J : Interaction n) (t : ℝ) :
semigroup J t = Real.exp (-(n : ℝ) * t) •
NormedSpace.exp (((n : ℝ) * t) • attemptLM J) := by
have hn' : (n : ℝ) ≠ 0 := by exact_mod_cast ne_of_gt hn
have heq : t • generatorCLM J =
(-(n : ℝ) * t) • (1 : Observables n →L[ℝ] Observables n) +
((n : ℝ) * t) • attemptLM J := by
unfold attemptLM
simp only [smul_add, smul_smul]
have hc : ((n : ℝ) * t) * (n : ℝ)⁻¹ = t := by field_simp
rw [hc]
module
let : NormedAlgebra ℚ (Observables n →L[ℝ] Observables n) :=
NormedAlgebra.restrictScalars ℚ ℝ _
unfold semigroup
rw [heq, NormedSpace.exp_add_of_commute
(((Commute.one_left (attemptLM J)).smul_left _).smul_right _),
exp_smul_identity, smul_mul_assoc, one_mul]
theorem semigroup_nonneg {n : ℕ} (J : Interaction n) (t : ℝ) (ht : 0 ≤ t)
(f : Observables n) (hf : ∀ x, 0 ≤ f x) (x : Spin n) :
0 ≤ semigroup J t f x := by
by_cases hn : n = 0
· subst n
have hL : generatorCLM J = 0 := by
ext f x
simp [generatorCLM, generatorLM, generator]
simp only [semigroup, hL, smul_zero, NormedSpace.exp_zero,
one_apply_eq_self]
exact hf x
· rw [semigroup_uniformization (Nat.pos_of_ne_zero hn)]
simp only [smul_apply, Pi.smul_apply, smul_eq_mul]
apply mul_nonneg (le_of_lt (Real.exp_pos _))
have hs := Pi.hasSum.mp (exp_apply_hasSum (((n : ℝ) * t) • attemptLM J) f) x
apply HasSum.nonneg _ hs
intro k
simp only [smul_pow, smul_apply, Pi.smul_apply, smul_eq_mul]
exact mul_nonneg (inv_nonneg.mpr (Nat.cast_nonneg _))
(mul_nonneg (pow_nonneg (mul_nonneg (Nat.cast_nonneg _) ht) _)
(attempt_pow_nonneg J k f hf x))
theorem continuousKernel_nonneg {n : ℕ} (J : Interaction n) (t : ℝ) (ht : 0 ≤ t)
(x y : Spin n) : 0 ≤ continuousKernel J t x y := by
exact semigroup_nonneg J t ht _ (fun _ => by split_ifs <;> norm_num) x
theorem continuousKernel_sum {n : ℕ} (J : Interaction n) (t : ℝ) (x : Spin n) :
∑ y, continuousKernel J t x y = 1 := by
have eq_one : (∑ y : Spin n, fun z => if z = y then (1 : ℝ) else 0) =
fun _ : Spin n => (1 : ℝ) := by
funext z
simp
unfold continuousKernel
rw [← Finset.sum_apply, ← map_sum, eq_one, semigroup_const]
theorem attempt_eq_transition {n : ℕ} (g : Disorder n) (f : Observables n) :
attemptLM (coupling g) f = transition g *ᵥ f := by
funext x
by_cases hn : n = 0
· subst n
simp [attemptLM, transition]
have hn' : (n : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr hn
change f x + (n : ℝ)⁻¹ * generator (coupling g) f x = _
rw [generator_eq_transition]
simp only [← mul_assoc, inv_mul_cancel₀ hn', one_mul]
change f x + ((transition g *ᵥ f) x - f x) = (transition g *ᵥ f) x
ring
theorem attempt_pow_eq_transition_pow {n : ℕ} (g : Disorder n) (k : ℕ)
(f : Observables n) : (attemptLM (coupling g)^k) f = transition g^k *ᵥ f := by
induction k with
| zero => simp
| succ k ih =>
rw [pow_succ', pow_succ', mul_apply_eq_comp, ih, attempt_eq_transition,
Matrix.mulVec_mulVec]
theorem semigroup_add {n : ℕ} (J : Interaction n) (s t : ℝ) :
semigroup J (s+t) = semigroup J s * semigroup J t := by
let : NormedAlgebra ℚ (Observables n →L[ℝ] Observables n) :=
NormedAlgebra.restrictScalars ℚ ℝ _
unfold semigroup
rw [add_smul, NormedSpace.exp_add_of_commute
(((Commute.refl (generatorCLM J)).smul_left _).smul_right _)]
theorem semigroup_mono {n : ℕ} (J : Interaction n) {t : ℝ} (ht : 0 ≤ t)
(f h : Observables n) (hfh : ∀ x, f x ≤ h x) (x : Spin n) :
semigroup J t f x ≤ semigroup J t h x := by
have hn := semigroup_nonneg J t ht (h-f) (fun x => sub_nonneg.mpr (hfh x)) x
simpa only [map_sub, Pi.sub_apply, sub_nonneg] using hn
theorem semigroup_abs_le {n : ℕ} (J : Interaction n) {t : ℝ} (ht : 0 ≤ t)
(f : Observables n) {B : ℝ} (hf : ∀ x, |f x| ≤ B) (x : Spin n) :
|semigroup J t f x| ≤ B := by
have hu := semigroup_mono J ht f (fun _ => B) (fun x => (abs_le.mp (hf x)).2) x
have hl := semigroup_mono J ht (fun _ => -B) f (fun x => (abs_le.mp (hf x)).1) x
simp only [semigroup_const] at hu hl
exact abs_le.mpr ⟨hl,hu⟩
theorem observable_basis {n : ℕ} (f : Observables n) :
f = ∑ y : Spin n, f y • (fun z => if z = y then (1:ℝ) else 0) := by
funext x
simp
theorem semigroup_eq_kernel {n : ℕ} (J : Interaction n) (t : ℝ)
(f : Observables n) (x : Spin n) :
semigroup J t f x = FiniteLaw.mean (continuousKernel J t x) f := by
conv_lhs => rw [observable_basis f]
simp only [map_sum, map_smul, Finset.sum_apply, Pi.smul_apply, smul_eq_mul,
FiniteLaw.mean, continuousKernel]
exact Finset.sum_congr rfl (fun _ _ => mul_comm _ _)
theorem kernel_eq_mulVec {n : ℕ} (J : Interaction n) (t : ℝ)
(f : Observables n) : semigroup J t f = continuousKernel J t *ᵥ f := by
funext x
exact semigroup_eq_kernel J t f x
theorem continuousKernel_add {n : ℕ} (J : Interaction n) (s t : ℝ) :
continuousKernel J (s+t) =
(continuousKernel J s : Matrix (Spin n) (Spin n) ℝ) * continuousKernel J t := by
funext x y
unfold continuousKernel
rw [semigroup_add, mul_apply_eq_comp, semigroup_eq_kernel]
rfl
theorem continuousKernel_poisson_hasSum {n : ℕ} (hn : 0 < n) (g : Disorder n)
(t : ℝ) (x y : Spin n) :
HasSum (fun k : ℕ => Real.exp (-(n:ℝ)*t) * ((n:ℝ)*t)^k /
(k.factorial:ℝ) * (transition g^k) x y)
(continuousKernel (coupling g) t x y) := by
have hs := (Pi.hasSum.mp (exp_apply_hasSum (((n:ℝ)*t) • attemptLM (coupling g))
(fun z => if z = y then (1:ℝ) else 0)) x).mul_left (Real.exp (-(n:ℝ)*t))
simp only [smul_pow, smul_apply, Pi.smul_apply, smul_eq_mul,
attempt_pow_eq_transition_pow, Matrix.mulVec, dotProduct,
mul_ite, mul_one, mul_zero, Fintype.sum_ite_eq'] at hs
rw [continuousKernel, semigroup_uniformization hn]
have heq : (fun k : ℕ => Real.exp (-(n:ℝ)*t) * ((n:ℝ)*t)^k /
(k.factorial:ℝ) * (transition g^k) x y) =
(fun k : ℕ => Real.exp (-(n:ℝ)*t) * ((k.factorial:ℝ)⁻¹ *
(((n:ℝ)*t)^k * (transition g^k) x y))) := by
funext k
ring
rw [heq]
exact hs
end SKRatio.Calculus
end
end
end OAI