openAI-math-dataset / lean /OAI /Analysis /FreeWords /CompressionMoment.lean
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Add lean source and binary files (part 18)
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import Mathlib
import OAI.Analysis.FreeWords.MatrixAverageTrace
import OAI.Analysis.FreeWords.RankOneCompression
namespace OAI
noncomputable section
namespace KKMatrixQuantization
open KKTraceTransfer KKWeingarten MeasureTheory
open scoped BigOperators Matrix.Norms.L2Operator
noncomputable section
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
variable {M : VonNeumannAlgebra H} (τ : FaithfulNormalTrace M)
variable {d : ℕ} (ρ : Matrix (Fin d) (Fin d) ℂ →⋆ₐ[ℂ] ConcreteAlgebra M)
theorem traceNorm_compression_sq (q x : ConcreteAlgebra M) (hq : IsStarProjection q) :
(((traceNorm τ (q*x*q))^2 : ℝ) : ℂ)=τ.map (q*star x*q*x) := by
rw [traceNorm_sq]
have hq2 : q*q=q := hq.isIdempotentElem
have hqs : star q=q := hq.isSelfAdjoint
simp only [star_mul,hqs]
calc
τ.map (q*(star x*q)*(q*x*q)) = τ.map ((q*star x*(q*q)*x)*q) := by congr 1
_ = τ.map (q*(q*star x*q*x)) := by rw [hq2,τ.tracial]
_ = _ := by simp only [← mul_assoc,hq2]
theorem average_traceNorm_sq [NeZero d] (x : ConcreteAlgebra M) :
τ.map (matrixAverage ρ (star x)*x)=(((traceNorm τ (matrixAverage ρ x))^2 : ℝ) : ℂ) := by
rw [traceNorm_sq, matrixAverage_star]
calc
τ.map (matrixAverage ρ (star x)*x) = τ.map (star x*matrixAverage ρ x) := matrixAverage_trace_symm ρ τ _ _
_ = τ.map (matrixAverage ρ (star x)*matrixAverage ρ x) := by
rw [matrixAverage_trace_symm,matrixAverage_idempotent]
theorem continuous_compression_energy (z : Fin d) (x : ConcreteAlgebra M) :
Continuous (fun U => (traceNorm τ (rankOne ρ z U*x*rankOne ρ z U))^2) := by
have he (U : Matrix.unitaryGroup (Fin d) ℂ) :
(traceNorm τ (rankOne ρ z U*x*rankOne ρ z U))^2=
(τ.map (rankOne ρ z U*star x*rankOne ρ z U*x)).re := by
simpa only [Complex.ofReal_re] using congrArg Complex.re
(traceNorm_compression_sq τ _ x (rankOne_projection ρ z U))
simp_rw [he]
exact Complex.continuous_re.comp (continuous_rankOne_pair τ ρ z (star x) x)
theorem integral_compression_energy (hd : 2 ≤ d) (z : Fin d) (x : ConcreteAlgebra M) :
(∫ U : Matrix.unitaryGroup (Fin d) ℂ,
(traceNorm τ (rankOne ρ z U*x*rankOne ρ z U))^2 ∂matrixHaar d)=
((traceNorm τ x)^2+(d : ℝ)*(traceNorm τ (matrixAverage ρ x))^2)/((d : ℝ)*((d : ℝ)+1)) := by
have : NeZero d := ⟨by omega⟩
have he := integral_rankOne_pair τ ρ hd z (star x) x
rw [← traceNorm_sq,average_traceNorm_sq] at he
have hU (U : Matrix.unitaryGroup (Fin d) ℂ) :
τ.map (rankOne ρ z U*star x*rankOne ρ z U*x)=
(((traceNorm τ (rankOne ρ z U*x*rankOne ρ z U))^2 : ℝ) : ℂ) :=
(traceNorm_compression_sq τ _ x (rankOne_projection ρ z U)).symm
simp_rw [hU] at he
rw [integral_complex_ofReal] at he
rw [mul_comm,← div_eq_mul_inv] at he
exact_mod_cast he
theorem integral_compression_sum {ι : Type*} [Fintype ι]
(hd : 2 ≤ d) (z : Fin d) (x : ι → ConcreteAlgebra M) :
(∫ U : Matrix.unitaryGroup (Fin d) ℂ,
∑ i,(traceNorm τ (rankOne ρ z U*x i*rankOne ρ z U))^2 ∂matrixHaar d)=
((∑ i,(traceNorm τ (x i))^2)+(d : ℝ)*∑ i,(traceNorm τ (matrixAverage ρ (x i)))^2)/
((d : ℝ)*((d : ℝ)+1)) := by
rw [integral_finsetSum _ (fun i _ => (continuous_compression_energy τ ρ z (x i)).integrable_of_hasCompactSupport (HasCompactSupport.of_compactSpace _))]
simp only [integral_compression_energy τ ρ hd z,← Finset.sum_div,Finset.sum_add_distrib,Finset.mul_sum]
theorem exists_rankOne_small_compression {ι : Type*} [Fintype ι]
(hd : 2 ≤ d) (z : Fin d) (x : ι → ConcreteAlgebra M) (ε : ℝ)
(hb : ((∑ i,(traceNorm τ (x i))^2)+(d : ℝ)*∑ i,(traceNorm τ (matrixAverage ρ (x i)))^2)/
((d : ℝ)*((d : ℝ)+1)) < ε/(d : ℝ)) :
∃ U : Matrix.unitaryGroup (Fin d) ℂ,
∑ i,(traceNorm τ (rankOne ρ z U*x i*rankOne ρ z U))^2 < ε/(d : ℝ) := by
by_contra hh
push Not at hh
have hi : Integrable (fun U : Matrix.unitaryGroup (Fin d) ℂ =>
∑ i,(traceNorm τ (rankOne ρ z U*x i*rankOne ρ z U))^2) (matrixHaar d) := by
apply integrable_finsetSum
intro i hi
exact (continuous_compression_energy τ ρ z (x i)).integrable_of_hasCompactSupport
(HasCompactSupport.of_compactSpace _)
have hle := integral_mono (integrable_const (ε/(d : ℝ))) hi hh
rw [integral_const,integral_compression_sum τ ρ hd z x] at hle
simp only [probReal_univ,smul_eq_mul,one_mul] at hle
linarith
end
end KKMatrixQuantization
end
end OAI