Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Repeated and word-indexed dilation operators

Definition
CRCD_QuantumChannelContinuity_TensorWords

by JWang226 · Oct 8, 2026 · Mathlib c5ea003 (Lean v4.30.0)

channel-renyi-continuity-jwang226quantum-information

The zero-copy dilation is defined on the chosen one-dimensional tensor unit. For nonzero finite-dimensional complex Hilbert spaces A,B,EA,B,EA,B,E and V:A→B⊗EV:A\to B\otimes EV:A→B⊗E, define its repeated dilation recursively by tensoring VVV with the preceding power. More generally, for a family (Ui)i∈ι(U_i)_{i\in\iota}(Ui​)i∈ι​ and a word w:{0,…,n−1}→ιw:\{0,\ldots,n-1\}\to\iotaw:{0,…,n−1}→ι, define UwU_wUw​ by tensoring the selected letters and regrouping outputs and environments. Its domain is AnA_nAn​ and codomain is Bn⊗EnB_n\otimes E_nBn​⊗En​. Thus every word retains the same concrete environment type. Sum, norm, and completely positive comparison identities support the dilation rate bounds for regularized channel divergence.

Definition code
import Mathlib.Algebra.Central.End
import Mathlib.Algebra.Star.UnitaryStarAlgAut
import Mathlib.Analysis.CStarAlgebra.CompletelyPositiveMap
import Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Continuity
import Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Order
import Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Unique
import Mathlib.Analysis.CStarAlgebra.ContinuousLinearMap
import Mathlib.Analysis.CStarAlgebra.Matrix
import Mathlib.Analysis.CStarAlgebra.Unitary.Span
import Mathlib.Analysis.Complex.Order
import Mathlib.Analysis.Convex.Continuous
import Mathlib.Analysis.Convex.Integral
import Mathlib.Analysis.InnerProductSpace.Adjoint
import Mathlib.Analysis.InnerProductSpace.JointEigenspace
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Analysis.InnerProductSpace.Spectrum
import Mathlib.Analysis.InnerProductSpace.StarOrder
import Mathlib.Analysis.InnerProductSpace.TensorProduct
import Mathlib.Analysis.InnerProductSpace.Trace
import Mathlib.Analysis.Matrix.HermitianFunctionalCalculus
import Mathlib.Analysis.Matrix.Order
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.Normed.Algebra.Exponential
import Mathlib.Analysis.Normed.Lp.PiLp
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Analysis.SpecialFunctions.BinaryEntropy
import Mathlib.Analysis.SpecialFunctions.ContinuousFunctionalCalculus.ExpLog.Basic
import Mathlib.Analysis.SpecialFunctions.ContinuousFunctionalCalculus.Rpow.Basic
import Mathlib.Analysis.SpecialFunctions.ContinuousFunctionalCalculus.Rpow.Order
import Mathlib.Analysis.SpecialFunctions.Exponential
import Mathlib.Analysis.SpecialFunctions.Integrals.Basic
import Mathlib.Analysis.SpecialFunctions.Log.Base
import Mathlib.Analysis.SpecialFunctions.Log.NegMulLog
import Mathlib.LinearAlgebra.Dimension.Finite
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
import Mathlib.LinearAlgebra.Lagrange
import Mathlib.LinearAlgebra.Matrix.PosDef
import Mathlib.LinearAlgebra.Matrix.ToLin
import Mathlib.LinearAlgebra.TensorProduct.Basis
import Mathlib.LinearAlgebra.Trace
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntervalIntegral.FundThmCalculus
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.RingTheory.Flat.Basic
import Mathlib.Tactic
import Mathlib.Tactic.Abel
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Ring
import Mathlib.Topology.Algebra.Module.FiniteDimension
import Mathlib.Topology.Algebra.Module.LinearMapPiProd
import Mathlib.Topology.Algebra.Star.Unitary
import Definitions.Def_CRCD_ChannelContinuity_Testing
import Definitions.Def_CRCD_QuantumChannelContinuity_ChannelTesting
import Definitions.Def_CRCD_QuantumChannelContinuity_Channels
import Definitions.Def_CRCD_QuantumChannelContinuity_DivergenceSchatten
import Definitions.Def_CRCD_QuantumChannelContinuity_Filter
import Definitions.Def_CRCD_QuantumChannelContinuity_FilterTensor
import Definitions.Def_CRCD_QuantumChannelContinuity_Foundations
import Definitions.Def_CRCD_QuantumChannelContinuity_FoundationsDiagonal
import Definitions.Def_CRCD_QuantumChannelContinuity_FoundationsMeasurement
import Definitions.Def_CRCD_QuantumChannelContinuity_FoundationsTesting
import Definitions.Def_CRCD_QuantumChannelContinuity_FoundationsWeakTesting
import Definitions.Def_CRCD_QuantumChannelContinuity_HockeyStick
import Definitions.Def_CRCD_QuantumChannelContinuity_Regularization
import Definitions.Def_CRCD_QuantumChannelContinuity_Schatten
import Definitions.Def_CRCD_QuantumChannelContinuity_StabilizedSchatten
import Definitions.Def_CRCD_QuantumChannelContinuity_TensorChannels
import Definitions.Def_CRCD_QuantumChannelContinuity_TensorDilation
import Definitions.Def_CRCD_QuantumChannelContinuity_TensorOrder
import Definitions.Def_CRCD_Quantum_QuantumEntropy_CFCDeriv
import Definitions.Def_CRCD_Quantum_QuantumEntropy_HaarUnitary
import Definitions.Def_CRCD_Quantum_QuantumEntropy_SandwichedQuasiJensen_part_3
import Definitions.Def_CRCD_Quantum_QuantumEntropy_SandwichedRenyiNonNeg_part_5
import Definitions.Def_CRCD_Quantum_QuantumEntropy_SandwichedRenyiRelativeEntropy_part_3
import Definitions.Def_CRCD_Quantum_QuantumEntropy_SandwichedRenyiUmegaki_part_2
import Definitions.Def_CRCD_Quantum_QuantumEntropy_TensorCFC
import Definitions.Def_CRCD_Quantum_QuantumEntropy_YoungInequality_part_2
import Definitions.Def_CRCD_Quantum_QuantumMechanics_QuantumChannel_part_4
import Definitions.Def_CRCD_Quantum_QuantumMechanics_QuantumState
import Definitions.Def_CRCD_Quantum_TraceInequality_BlockDiagonal
import Definitions.Def_CRCD_Quantum_TraceInequality_GeneralizedPerspectiveFunction
import Definitions.Def_CRCD_Quantum_TraceInequality_HilbertSchmidtOperatorSpace
import Definitions.Def_CRCD_Quantum_TraceInequality_JensenOperatorInequality
import Definitions.Def_CRCD_Quantum_TraceInequality_JensenOperatorInequalityIImpIV_part_2
import Definitions.Def_CRCD_Quantum_TraceInequality_LiebAndoTrace_part_2
import Definitions.Def_CRCD_Quantum_TraceInequality_LownerHeinzCore_part_3
import Definitions.Def_CRCD_Quantum_TraceInequality_LownerHeinzTheorem
import Definitions.Def_CRCD_Quantum_TraceInequality_OperatorGeometricMean

/-
Copyright (c) 2026 Jinzhao Wang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jinzhao Wang (AI-assisted formalization)
-/






/-!
# Actual tensor-word dilations

Words are tensor products of supplied dilation pieces.  Their sum realizes the
actual channel power used in `Regularization`; the domination and norm constants
are the products of the one-block constants.
-/

open QuantumState QuantumChannel
open scoped ComplexOrder TensorProduct

namespace QuantumChannelContinuity

set_option maxHeartbeats 300000
set_option synthInstance.maxHeartbeats 100000
set_option backward.isDefEq.respectTransparency false

def DilationUnit := EuclideanSpace ℂ (Fin 1)
noncomputable instance : Qudit DilationUnit := inferInstanceAs (Qudit (EuclideanSpace ℂ (Fin 1)))

/-- The zero-copy dilation, in exactly the unit spaces used by `TensorPower`. -/
noncomputable def unitDilation : DilationUnit →ₗ[ℂ] DilationUnit ⊗[ℂ] DilationUnit :=
  (TensorProduct.mk ℂ DilationUnit DilationUnit).flip (EuclideanSpace.single 0 1)

@[simp] theorem unitDilation_apply (x : DilationUnit) :
    unitDilation x = x ⊗ₜ[ℂ] EuclideanSpace.single 0 1 := rfl

/-- The zero-copy dilation realizes the identity unit channel. -/
theorem dilationChannel_unitDilation : dilationChannel unitDilation = LinearMap.id := by
  have hslice : tensorRightSlice (EuclideanSpace.basisFun (Fin 1) ℂ) 0 ∘ₗ unitDilation =
      LinearMap.id := by
    ext x
    change tensorRightSlice (EuclideanSpace.basisFun (Fin 1) ℂ) 0
      (x ⊗ₜ[ℂ] EuclideanSpace.single 0 1) = x
    rw [tensorRightSlice_tmul]
    simp [EuclideanSpace.basisFun_toBasis]
  ext1 X
  rw [dilationChannel_kraus_basis (EuclideanSpace.basisFun (Fin 1) ℂ)]
  simp only [Fin.sum_univ_one, hslice]
  simp [krausTerm]

set_option backward.isDefEq.respectTransparency true in
theorem unitDilation_norm_le_one : ‖unitDilation.toContinuousLinearMap‖ ≤ 1 := by
  apply ContinuousLinearMap.opNorm_le_bound _ zero_le_one
  intro x
  change ‖x ⊗ₜ[ℂ] EuclideanSpace.single (0 : Fin 1) (1 : ℂ)‖ ≤ _
  simp [TensorProduct.norm_tmul, EuclideanSpace.norm_single]

variable {A B E : Type} [Qudit A] [Qudit B] [Qudit E]
  [Nontrivial A] [Nontrivial B] [Nontrivial E]

/-- The supplied dilation tensored `n` times in the canonical power spaces. -/
noncomputable def dilationPower (V : A →ₗ[ℂ] B ⊗[ℂ] E) :
    (n : ℕ) → TensorPower A n →ₗ[ℂ] TensorPower B n ⊗[ℂ] TensorPower E n
  | 0 => unitDilation
  | n + 1 => tensorDilation V (dilationPower V n)

/-- Exact identification with the concrete channel tensor powers. -/
theorem dilationChannel_dilationPower (N : CPTP A B) (V : A →ₗ[ℂ] B ⊗[ℂ] E)
    (hV : dilationChannel V = N.toLinearMap) (n : ℕ) :
    dilationChannel (dilationPower V n) = (channelPower N n).toLinearMap := by
  induction n with
  | zero => exact dilationChannel_unitDilation
  | succ n ih =>
    change dilationChannel (tensorDilation V (dilationPower V n)) =
      tensorSuperoperator N.toLinearMap (channelPower N n).toLinearMap
    rw [dilationChannel_tensorDilation, hV, ih]

/-- Tensor-word dilation, retaining its concrete shared environment. -/
noncomputable def wordDilation {ι : Type*} (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E) :
    (n : ℕ) → (Fin n → ι) →
      TensorPower A n →ₗ[ℂ] TensorPower B n ⊗[ℂ] TensorPower E n
  | 0, _ => unitDilation
  | n + 1, word => tensorDilation (U (word 0)) (wordDilation U n (fun j => word j.succ))

/-- Summing all tensor words reconstructs the full tensor-power dilation. -/
theorem wordDilation_sum {ι : Type*} [Fintype ι]
    (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E) (n : ℕ) :
    (∑ word : Fin n → ι, wordDilation U n word) = dilationPower (∑ i, U i) n := by
  classical
  induction n with
  | zero => simp [wordDilation, dilationPower]
  | succ n ih =>
    rw [← (Fin.consEquiv (fun _ : Fin (n+1) => ι)).sum_comp (wordDilation U (n+1)),
      Fintype.sum_prod_type]
    change (∑ i, ∑ word : Fin n → ι, tensorDilation (U i) (wordDilation U n word)) =
      tensorDilation (∑ i, U i) (dilationPower (∑ i, U i) n)
    calc
      _ = ∑ i, tensorDilation (U i) (∑ word : Fin n → ι, wordDilation U n word) := by
        apply Finset.sum_congr rfl
        intro i _
        exact (tensorDilation_sum_right (U i) (wordDilation U n)).symm
      _ = _ := by rw [ih, ← tensorDilation_sum_left]



/-- Product operator-norm bound, including the empty word. -/
theorem wordDilation_norm_le {ι : Type*} (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E)
    (b : ι → ℝ) (hb : ∀ i, 0 ≤ b i)
    (hU : ∀ i, ‖(U i).toContinuousLinearMap‖ ≤ b i) (n : ℕ) (word : Fin n → ι) :
    ‖(wordDilation U n word).toContinuousLinearMap‖ ≤ ∏ j, b (word j) := by
  induction n with
  | zero => simpa [wordDilation] using unitDilation_norm_le_one
  | succ n ih =>
    rw [Fin.prod_univ_succ]
    exact (tensorDilation_norm_le _ _).trans
      (mul_le_mul (hU _) (ih _) (norm_nonneg (wordDilation U n (fun j => word j.succ)).toContinuousLinearMap) (hb _))

/-- Product CP-order bound against the actual channel power. -/
theorem wordDilation_cp_le {ι : Type*} (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E)
    (M : CPTP A B) (lam : ι → ℝ) (hlam : ∀ i, 0 ≤ lam i)
    (hU : ∀ i, CPLe (dilationChannel (U i)) (lam i • M.toLinearMap))
    (n : ℕ) (word : Fin n → ι) :
    CPLe (dilationChannel (wordDilation U n word))
      ((∏ j, lam (word j)) • (channelPower M n).toLinearMap) := by
  induction n with
  | zero =>
    simp only [wordDilation, Fin.prod_univ_zero, one_smul]
    change CPLe (dilationChannel unitDilation) (LinearMap.id : T DilationUnit DilationUnit)
    rw [dilationChannel_unitDilation]
    change IsCompletelyPositive ((LinearMap.id : T DilationUnit DilationUnit) - LinearMap.id)
    rw [sub_self]
    simpa using cp_smul (cp_identity (C := DilationUnit)) (c := 0) le_rfl
  | succ n ih =>
    change CPLe (dilationChannel (tensorDilation (U (word 0))
      (wordDilation U n (fun j => word j.succ)))) _
    rw [dilationChannel_tensorDilation, Fin.prod_univ_succ]
    exact (hU _).tensor_scaled (ih _) (dilationChannel_cp _)
      ⟨(channelPower M n).toCompletelyPositiveMap, rfl⟩
      (Finset.prod_nonneg fun j _ => hlam _)

/-- The sum over tensor-word weights factors as the power of the one-block sum. -/
theorem word_weight_sum {ι : Type*} [Fintype ι] (b lam : ι → ℝ)
    (hb : ∀ i, 0 ≤ b i) (hlam : ∀ i, 0 ≤ lam i) (p : ℝ) (m : ℕ) :
    (∑ word : Fin m → ι, (∏ j, b (word j)) ^ (1 / p) *
      (∏ j, lam (word j)) ^ ((p - 1) / (2 * p))) =
      (∑ i, b i ^ (1 / p) * lam i ^ ((p - 1) / (2 * p))) ^ m := by
  classical
  have heq (word : Fin m → ι) :
      (∏ j, b (word j)) ^ (1 / p) * (∏ j, lam (word j)) ^ ((p - 1) / (2 * p)) =
      ∏ j, (b (word j) ^ (1 / p) * lam (word j) ^ ((p - 1) / (2 * p))) := by
    rw [← Real.finset_prod_rpow _ _ (fun j _ => hb (word j)),
      ← Real.finset_prod_rpow _ _ (fun j _ => hlam (word j)), Finset.prod_mul_distrib]
  simp_rw [heq]
  exact (Fintype.sum_pow (fun i => b i ^ (1 / p) * lam i ^ ((p - 1) / (2 * p))) m).symm



/-- Uniform linear bound in block length, proved using the actual tensor
powers and the concrete tensor-word construction. -/
theorem blockRenyi_dilation_rate_bound {ι : Type*} [Fintype ι]
    {p : ℝ} (hp : 1 < p) (hp2 : p ≤ 2)
    (N M : CPTP A B) (V : A →ₗ[ℂ] B ⊗[ℂ] E)
    (hV : dilationChannel V = N.toLinearMap)
    (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E) (hVU : V = ∑ i, U i)
    (b lam : ι → ℝ) (hb : ∀ i, 0 ≤ b i) (hlam : ∀ i, 0 ≤ lam i)
    (hdom : ∀ i, CPLe (dilationChannel (U i)) (lam i • M.toLinearMap))
    (hnorm : ∀ i, ‖(U i).toContinuousLinearMap‖ ≤ b i) (m : ℕ) :
    blockRenyi p N M m ≤ ENNReal.ofReal ((m : ℝ) * ((2 * p / (p - 1)) *
      Real.logb 2 (∑ i, b i ^ (1 / p) * lam i ^ ((p - 1) / (2 * p))))) := by
  have h := channelRenyi_dilation_bound hp hp2 (channelPower N m) (channelPower M m)
    (dilationPower V m) (dilationChannel_dilationPower N V hV m)
    (wordDilation U m) (by rw [wordDilation_sum, ← hVU])
    (fun word => ∏ j, b (word j)) (fun word => ∏ j, lam (word j))
    (fun word => Finset.prod_nonneg fun j _ => hb (word j))
    (fun word => Finset.prod_nonneg fun j _ => hlam (word j))
    (wordDilation_cp_le U M lam hlam hdom m) (wordDilation_norm_le U b hb hnorm m)
  rw [word_weight_sum b lam hb hlam p m, Real.logb_pow] at h
  convert h using 1
  congr 1
  ring

/-- The complete finite-block filter/Schatten-to-regularization bridge. The
regularized quantity is the explicit block supremum from `Regularization`. -/
theorem regularizedRenyi_dilation_bound {ι : Type*} [Fintype ι]
    {p : ℝ} (hp : 1 < p) (hp2 : p ≤ 2)
    (N M : CPTP A B) (V : A →ₗ[ℂ] B ⊗[ℂ] E)
    (hV : dilationChannel V = N.toLinearMap)
    (U : ι → A →ₗ[ℂ] B ⊗[ℂ] E) (hVU : V = ∑ i, U i)
    (b lam : ι → ℝ) (hb : ∀ i, 0 ≤ b i) (hlam : ∀ i, 0 ≤ lam i)
    (hdom : ∀ i, CPLe (dilationChannel (U i)) (lam i • M.toLinearMap))
    (hnorm : ∀ i, ‖(U i).toContinuousLinearMap‖ ≤ b i) :
    regularizedRenyi p N M ≤ ENNReal.ofReal ((2 * p / (p - 1)) *
      Real.logb 2 (∑ i, b i ^ (1 / p) * lam i ^ ((p - 1) / (2 * p)))) := by
  apply iSup_le
  intro m
  apply iSup_le
  intro hm
  apply ENNReal.div_le_of_le_mul
  have h := blockRenyi_dilation_rate_bound hp hp2 N M V hV U hVU b lam hb hlam hdom hnorm m
  rw [ENNReal.ofReal_mul (Nat.cast_nonneg m)] at h
  simpa only [ENNReal.ofReal_natCast, mul_comm] using h

end QuantumChannelContinuity
Source
https://github.com/JWang226/Continuity-of-regularized-channel-renyi-divergence/blob/e29274a69978bb499f00497481c6008befb0b84d/QuantumChannelContinuity/TensorWords.lean#L29-L231

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me