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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.TensorBounds.TensorPhases
namespace OAI
noncomputable section
section
open scoped BigOperators Classical ComplexOrder
open Matrix
namespace BinaryCoordinateSweeps.Density
variable {A : Type*} [Fintype A] [DecidableEq A]
def tensorAmplitude (n : ℕ) (r : A → ℝ) (w : Fin n → A) : ℝ := ∏ i, Real.sqrt (r (w i))
def tensorProductVector (n : ℕ) (v : A → ℂ) : (Fin n → A) → ℂ := fun w => ∏ i, v (w i)
def phasedVector (n : ℕ) (r : A → ℝ) (θ : A → ZMod (n+1)) : A → ℂ :=
fun a => (Real.sqrt (r a) : ℂ) * ZMod.stdAddChar (θ a)
omit [Fintype A] [DecidableEq A] in
lemma tensorProductVector_phased (n : ℕ) (r : A → ℝ) (θ : A → ZMod (n+1)) (w : Fin n → A) :
tensorProductVector n (phasedVector n r θ) w =
(tensorAmplitude n r w : ℂ) * tensorPhase n θ w := by
simp only [tensorProductVector, phasedVector, tensorAmplitude, tensorPhase,
Finset.prod_mul_distrib, Complex.ofReal_prod]
lemma tensorAmplitude_counts (n : ℕ) (r : A → ℝ) (w : Fin n → A) :
tensorAmplitude n r w = ∏ a, Real.sqrt (r a)^wordCounts w a :=
prod_wordCounts (fun a => Real.sqrt (r a)) w
lemma tensorAmplitude_sq (n : ℕ) (r : A → ℝ) (hr : ∀ a, 0 ≤ r a) (w : Fin n → A) :
tensorAmplitude n r w * tensorAmplitude n r w = ∏ a, (r a)^wordCounts w a := by
rw [tensorAmplitude_counts, ← Finset.prod_mul_distrib]
apply Finset.prod_congr rfl
intro a ha
rw [← mul_pow, Real.mul_self_sqrt (hr a)]
def phaseAverage (n : ℕ) (r : A → ℝ) : Matrix (Fin n → A) (Fin n → A) ℂ :=
(((n+1 : ℕ) : ℂ)^Fintype.card A)⁻¹ •
∑ θ : A → ZMod (n+1), rankOne (tensorProductVector n (phasedVector n r θ))
lemma phaseAverage_psd (n : ℕ) (r : A → ℝ) : (phaseAverage n r).PosSemidef := by
apply Matrix.PosSemidef.smul (Matrix.posSemidef_sum _ (fun θ _ => rankOne_psd _))
exact inv_nonneg.mpr (pow_nonneg (by exact_mod_cast Nat.zero_le (n+1)) _)
lemma phaseAverage_apply (n : ℕ) (r : A → ℝ) (hr : ∀ a, 0 ≤ r a)
(w v : Fin n → A) :
phaseAverage n r w v = if wordCounts w = wordCounts v then
((∏ a, r a^wordCounts w a : ℝ) : ℂ) else 0 := by
simp only [phaseAverage, Matrix.smul_apply, Matrix.sum_apply, rankOne, vecMulVec,
Matrix.of_apply, Pi.star_apply, tensorProductVector_phased, star_mul, Complex.star_def,
Complex.conj_ofReal]
have hfactor : (∑ θ : A → ZMod (n+1),
((tensorAmplitude n r w : ℂ) * tensorPhase n θ w) *
(star (tensorPhase n θ v) * (tensorAmplitude n r v : ℂ))) =
((tensorAmplitude n r w : ℂ) * (tensorAmplitude n r v : ℂ)) *
∑ θ : A → ZMod (n+1), tensorPhase n θ w * star (tensorPhase n θ v) := by
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro θ hθ
ring
change (((n+1 : ℕ) : ℂ)^Fintype.card A)⁻¹ * _ = _
simp only [Complex.star_def] at hfactor
rw [hfactor]
change _ * (_ * ∑ θ : A → ZMod (n+1), tensorPhase n θ w * star (tensorPhase n θ v)) = _
rw [phase_pair_sum]
by_cases h : wordCounts w = wordCounts v
· rw [ite_eq_left h, ite_eq_left h]
have ha : tensorAmplitude n r w = tensorAmplitude n r v := by
simp only [tensorAmplitude_counts, h]
rw [← ha, ← Complex.ofReal_mul, tensorAmplitude_sq n r hr w]
have hp : (((n+1 : ℕ) : ℂ)^Fintype.card A) ≠ 0 := pow_ne_zero _ (by exact_mod_cast Nat.succ_ne_zero n)
field_simp
· simp [h]
lemma phaseAverage_kernel (n : ℕ) (r : A → ℝ) (hr : ∀ a, 0 ≤ r a) :
phaseAverage n r = ∑ c : WordType A n,
((∏ a, r a ^ c.val a : ℝ) : ℂ) • typeOnes (wordType n) c := by
ext w v
rw [phaseAverage_apply n r hr, sum_typeOnes]
simp only [wordType_eq_iff]
rfl
omit [Fintype A] [DecidableEq A] in
lemma phasedVector_norm (n : ℕ) (r : A → ℝ) (hr : ∀ a, 0 ≤ r a)
(θ : A → ZMod (n+1)) (a : A) :
phasedVector n r θ a * star (phasedVector n r θ a) = (r a : ℂ) := by
have he : ZMod.stdAddChar (θ a) * star (ZMod.stdAddChar (θ a)) = 1 := by
rw [phase_star, ← AddChar.map_add_eq_mul, add_neg_cancel, AddChar.map_zero_eq_one]
simp only [phasedVector, star_mul, Complex.star_def, Complex.conj_ofReal]
calc
_ = ((Real.sqrt (r a) : ℂ) * Real.sqrt (r a)) *
(ZMod.stdAddChar (θ a) * star (ZMod.stdAddChar (θ a))) := by simp only [Complex.star_def]; ring
_ = _ := by rw [he, mul_one, ← Complex.ofReal_mul, Real.mul_self_sqrt (hr a)]
omit [DecidableEq A] in
lemma phasedVector_trace (n : ℕ) (r : A → ℝ) (hr : ∀ a, 0 ≤ r a)
(hs : ∑ a, r a = 1) (θ : A → ZMod (n+1)) :
Matrix.trace (rankOne (phasedVector n r θ)) = 1 := by
simp only [Matrix.trace, Matrix.diag, rankOne, vecMulVec, Matrix.of_apply, Pi.star_apply,
phasedVector_norm n r hr, ← Complex.ofReal_sum, hs, Complex.ofReal_one]
end BinaryCoordinateSweeps.Density
end
open scoped BigOperators Classical ComplexOrder
open Matrix
namespace BinaryCoordinateSweeps.Density
variable {A : Type*} [Fintype A] [DecidableEq A]
def empirical (n : ℕ) (c : WordType A n) : A → ℝ := fun a => c.val a / (n : ℝ)
lemma empirical_nonneg (n : ℕ) (c : WordType A n) (a : A) : 0 ≤ empirical n c a :=
div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)
lemma empirical_sum (n : ℕ) (hn : 0 < n) (c : WordType A n) : ∑ a, empirical n c a = 1 := by
simp only [empirical, ← Finset.sum_div, ← Nat.cast_sum, wordType_total,
div_self (by exact_mod_cast Nat.ne_of_gt hn : (n : ℝ) ≠ 0)]
lemma type_mass_inv (n : ℕ) (hn : 0 < n) (c : WordType A n) :
(Nat.multinomial Finset.univ c.val : ℝ)⁻¹ ≤
((n+1 : ℕ) : ℝ)^Fintype.card A * ∏ a, empirical n c a ^ c.val a := by
have hm : 0 < (Nat.multinomial Finset.univ c.val : ℝ) := by exact_mod_cast Nat.multinomial_pos _ _
rw [inv_eq_one_div]
apply (div_le_iff₀ hm).mpr
have hh := type_mass_lower n hn c.val (wordType_total n c)
simpa only [empirical, mul_assoc, mul_left_comm, mul_comm] using hh
theorem finite_postselection (n : ℕ) (hn : 0 < n) :
((((n+1 : ℕ) : ℂ)^Fintype.card A) •
(∑ c : WordType A n, phaseAverage n (empirical n c)) - symmetricProjector n).PosSemidef := by
let d : WordType A n → ℝ := fun t => ((n+1 : ℕ) : ℝ)^Fintype.card A *
∑ c : WordType A n, ∏ a, empirical n c a ^ t.val a
have hd (t : WordType A n) : (Nat.multinomial Finset.univ t.val : ℝ)⁻¹ ≤ d t := by
refine (type_mass_inv n hn t).trans ?_
apply mul_le_mul_of_nonneg_left _ (pow_nonneg (Nat.cast_nonneg _) _)
exact Finset.single_le_sum (f := fun c : WordType A n => ∏ a, empirical n c a ^ t.val a)
(fun c _ => Finset.prod_nonneg
(fun a _ => pow_nonneg (empirical_nonneg n c a) _)) (Finset.mem_univ t)
convert typeKernel_mono (wordType (A := A) n)
(fun t => (Nat.multinomial Finset.univ t.val : ℝ)⁻¹) d hd using 1
apply Iff.of_eq
congr 1
ext w v
simp only [Matrix.sub_apply, Matrix.smul_apply, Matrix.sum_apply,
phaseAverage_apply n _ (empirical_nonneg n _), symmetricProjector, smul_eq_mul,
wordType_eq_iff, Pi.sub_apply]
split_ifs with h
· simp only [d, Complex.ofReal_mul, Complex.ofReal_pow, Complex.ofReal_natCast,
Complex.ofReal_sum, Complex.ofReal_inv]
rfl
· simp
end BinaryCoordinateSweeps.Density
end
end OAI