roseking's picture
Add lean source and binary files (part 18)
67aee1d verified
Raw History Blame Contribute Delete
6.87 kB
import OAI.Analysis.FreeEntropy.MatrixRotationBounds
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Finset Set
open scoped Matrix.Norms.L2Operator ENNReal
namespace FiniteEntropySeparation
variable {p d n : ℕ}
theorem matrixCoordinatesOfHermitian_continuous :
Continuous (matrixCoordinatesOfHermitian : (Fin n → Matrix (Fin d) (Fin d) ℂ) → MatrixCoordinates n d) := by
unfold matrixCoordinatesOfHermitian
apply (PiLp.continuous_toLp 2 _).comp
apply continuous_pi
rintro ⟨i,j,k⟩
dsimp only
split_ifs <;> fun_prop
theorem rotateCoordinates_continuous_joint :
Continuous (fun z : unitary (Matrix (Fin d) (Fin d) ℂ) × MatrixCoordinates n d => rotateCoordinates z.1 z.2) := by
unfold rotateCoordinates
apply matrixCoordinatesOfHermitian_continuous.comp
apply continuous_pi
intro i
exact ((continuous_subtype_val.comp continuous_fst).star.mul ((hermitianMatrix_continuous i).comp continuous_snd)).mul
(continuous_subtype_val.comp continuous_fst)
def blockEvent (p d : ℕ) (r M : ℝ) : Set (MatrixCoordinates (p+1) d) :=
{a | ‖a‖≤M ∧ ∃f : Fin d → Fin p,balancedBlocks f ∧
∃U : unitary (Matrix (Fin d) (Fin d) ℂ),r≤‖coordinateMask (blockMask f) (rotateCoordinates U a)‖}
theorem blockEvent_isClosed (hd : 0<d) (r M : ℝ) : IsClosed (blockEvent p d r M) := by
have : CompactSpace (unitary (Matrix (Fin d) (Fin d) ℂ)) := isCompact_iff_compactSpace.mp (isCompact_unitary_matrix hd)
have hf (f : Fin d → Fin p) : IsClosed {a : MatrixCoordinates (p+1) d |
∃U : unitary (Matrix (Fin d) (Fin d) ℂ),r≤‖coordinateMask (blockMask f) (rotateCoordinates U a)‖} := by
have hh : IsClosed {z : unitary (Matrix (Fin d) (Fin d) ℂ) × MatrixCoordinates (p+1) d |
r≤‖coordinateMask (blockMask f) (rotateCoordinates z.1 z.2)‖} :=
isClosed_le continuous_const ((coordinateMask_continuous _).comp rotateCoordinates_continuous_joint).norm
convert isClosedMap_snd_of_compactSpace _ hh using 1
ext a
simp only [Set.mem_ofPred_eq,Set.mem_image,Prod.exists]
constructor
· rintro ⟨U,hU⟩; exact ⟨U,a,hU,rfl⟩
· rintro ⟨U,b,hU,rfl⟩; exact ⟨U,hU⟩
have he : blockEvent p d r M = {a | ‖a‖≤M} ∩
⋃ f : Fin d → Fin p, ⋃ (_ : balancedBlocks f),
{a | ∃U : unitary (Matrix (Fin d) (Fin d) ℂ),r≤‖coordinateMask (blockMask f) (rotateCoordinates U a)‖} := by
ext a; simp [blockEvent]
rw [he]
exact (isClosed_le continuous_norm continuous_const).inter (isClosed_iUnion_of_finite (fun f => isClosed_iUnion_of_finite (fun _ => hf f)))
theorem blockEvent_subset_net (hd : 0<d) {r M ε : ℝ} (hε : 0≤ε)
(s : Finset (unitary (Matrix (Fin d) (Fin d) ℂ)))
(hs : ∀U : unitary (Matrix (Fin d) (Fin d) ℂ),∃V∈s,matrixOpNorm ((U:Matrix (Fin d) (Fin d) ℂ)-(V:Matrix (Fin d) (Fin d) ℂ))≤ε) :
blockEvent p d r M ⊆ ⋃ f : Fin d → Fin p, ⋃ (_ : balancedBlocks f), ⋃ V∈s,
{a | r-2*ε*M≤‖coordinateMask (blockMask f) (rotateCoordinates V a)‖} := by
intro a ha
obtain ⟨haM,f,hf,U,hU⟩ := ha
obtain ⟨V,hV,hUV⟩ := hs U
refine mem_iUnion.mpr ⟨f,mem_iUnion.mpr ⟨hf,mem_iUnion.mpr ⟨V,mem_iUnion.mpr ⟨hV,?_⟩⟩⟩⟩
have hh := coordinateMask_norm_sub (blockMask f) (rotateCoordinates U a) (rotateCoordinates V a)
have hr := rotateCoordinates_sub_norm hd U V a
have hb : 2*matrixOpNorm ((U:Matrix (Fin d) (Fin d) ℂ)-(V:Matrix (Fin d) (Fin d) ℂ))*‖a‖≤2*ε*M := by
exact mul_le_mul (mul_le_mul_of_nonneg_left hUV (by norm_num)) haM (norm_nonneg _) (by positivity)
have hh' := (abs_le.mp (hh.trans (hr.trans hb))).2
dsimp at *
linarith
theorem normalLaw_rotated_mask_tail {s r : ℝ} (hs : 0<s) (hr : 0≤r)
(f : Fin d → Fin p) (U : unitary (Matrix (Fin d) (Fin d) ℂ)) :
(normalLaw s) {a | r≤‖coordinateMask (blockMask f) (rotateCoordinates U a)‖} ≤
ENNReal.ofReal (Real.exp (-r^2/(4*s))*Real.sqrt 2^(blockMask f).card) := by
have hm := normalLaw_measurePreserving s (rotateLinearIsometryEquiv (n := p+1) U)
have hE : MeasurableSet {a : MatrixCoordinates (p+1) d | r≤‖coordinateMask (blockMask f) a‖} :=
(isClosed_le continuous_const (coordinateMask_continuous _).norm).measurableSet
have he := hm.measure_preimage hE.nullMeasurableSet
change (normalLaw s) {a | r≤‖coordinateMask (blockMask f) (rotateCoordinates U a)‖} = _ at he
rw [he]
exact normalLaw_coordinateMask_tail _ hs hr
theorem blockEvent_gaussian_bound (hd : 0<d) {s r M ε : ℝ} (hs : 0<s) (hε : 0<ε)
(hr : 0≤r-2*ε*M) :
(normalLaw s) (blockEvent p d r M) ≤ ENNReal.ofReal
((p:ℝ)^d*(1+2/ε)^(2*d^2)*Real.exp (-(r-2*ε*M)^2/(4*s))*Real.sqrt 2^(2*d^2)) := by
classical
obtain ⟨S,hS,hcard⟩ := unitary_matrix_net hd hε
have hsub := blockEvent_subset_net (p := p) (r := r) (M := M) hd hε.le S hS
let K : ℝ := Real.exp (-(r-2*ε*M)^2/(4*s))*Real.sqrt 2^(2*d^2)
have hK : 0≤K := by dsimp [K]; positivity
have hbound (f : Fin d → Fin p) (hf : balancedBlocks f) (V : unitary (Matrix (Fin d) (Fin d) ℂ)) :
(normalLaw s) {a | r-2*ε*M≤‖coordinateMask (blockMask f) (rotateCoordinates V a)‖}≤ENNReal.ofReal K := by
apply (normalLaw_rotated_mask_tail hs hr f V).trans
apply ENNReal.ofReal_le_ofReal
apply mul_le_mul_of_nonneg_left _ (Real.exp_pos _).le
exact pow_le_pow_right₀ (by nlinarith [Real.sq_sqrt (show (0:ℝ)≤2 by norm_num),Real.sqrt_nonneg (2:ℝ)] : (1:ℝ)≤Real.sqrt 2) (blockMask_card_le f hf)
calc
_ ≤ ∑f : Fin d → Fin p, ∑V∈S,ENNReal.ofReal K := by
apply (measure_mono hsub).trans
apply (measure_iUnion_fintype_le _ _).trans
apply sum_le_sum
intro f _
by_cases hf : balancedBlocks f
· have he : (⋃ (_ : balancedBlocks f), ⋃ V∈S, {a : MatrixCoordinates (p+1) d | r-2*ε*M≤‖coordinateMask (blockMask f) (rotateCoordinates V a)‖}) = ⋃ V∈S, {a : MatrixCoordinates (p+1) d | r-2*ε*M≤‖coordinateMask (blockMask f) (rotateCoordinates V a)‖} := by ext a; simp [hf]
rw [he]
exact (measure_biUnion_finset_le S _).trans (sum_le_sum (fun V _ => hbound f hf V))
· simp [hf]
_ = ENNReal.ofReal ((p:ℝ)^d*(S.card:ℝ)*K) := by
simp only [sum_const,nsmul_eq_mul,card_univ,Fintype.card_fun,Fintype.card_fin]
simp only [ENNReal.ofReal_mul (show 0≤(p:ℝ)^d by positivity), ENNReal.ofReal_pow (show (0:ℝ)≤p by positivity), ENNReal.ofReal_natCast, Nat.cast_pow, ENNReal.ofReal_mul (show (0:ℝ)≤S.card by positivity), mul_assoc]
_ ≤ _ := by
apply ENNReal.ofReal_le_ofReal
have hh := mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left hcard (by positivity : 0≤(p:ℝ)^d)) hK
simpa [K,mul_assoc] using hh
end FiniteEntropySeparation
end
end OAI