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Definitions for Monotonicity of the Quantum Relative Entropy Under Positive Maps

Definition
QAlgorithms_Papers_Independent_Intakethird100_P46

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

The objects the formalized statements of Monotonicity of the Quantum Relative Entropy Under Positive Maps (arXiv:1512.06117) are stated in. Each was checked against the paper by a blind read-back and a moderator.

  • TraceLinearOperationBetween: PDF p.2, Notation: a complex-linear map from the full trace-class space T(H) to T(K). Its ambient values off trace class impose no restriction.
  • traceClassImage: PDF p.2: restrict the output of a trace-class operation to its actual domain.
  • PositiveTracePreservingBetween: PDF p.2, Notation and Theorem 1: positivity and trace preservation are required on every positive trace-class input, not only on the displayed pair.
  • PositiveTraceNonincreasingBetween: PDF pp.2–3, Notation and Theorem 1': positivity and trace nonincrease on the entire positive trace-class cone, between possibly different spaces.
  • literalTraceClassRelativeEntropy: PDF pp.1–2, (1) and Notation: literal unnormalized relative entropy in nats. On positive trace-class pairs, the accepted corrected extended divergence is D(rho||sigma)+tr(sigma-rho). Subtract ONLY this finite real trace correction. The ENNReal-to-EReal embedding retains infinity; finite negative D is allowed. No two potentially infinite entropy terms are subtracted.
  • PositiveMatrixTraceNonincreasing: PDF p.3, (4)–(5): positive finite-dimensional maps with trace nonincrease on every PSD matrix. Complex linearity is in the map type.
  • finiteLiteralRelativeEntropy: PDF pp.1–3, (1): finite-dimensional literal Umegaki entropy in nats, including support failure. This direct formula also accepts subnormalized outputs.
  • traceDecreaseMap: PDF p.3, counterexample: discard off-diagonal entries and halve the first entry.
  • counterexampleRho: PDF p.3, counterexample: the first normalized input state.
  • counterexampleSigma: PDF p.3, counterexample: the second normalized input state.
Definition code
import Mathlib
import Definitions.Def_QAlgorithms_Papers_Independent_Dependency50_P13
import Definitions.Def_QAlgorithms_Papers_Independent_Bridge50_P49
import Definitions.Def_QAlgorithms_Defs_MatrixMapPositivity

/-!
Müller-Hermes–Reeb, arXiv:1512.06117v3, PDF pp.1–7.
All new definitions are local to this paper. Arbitrary countable Hilbert bases
represent separable complex Hilbert spaces; they need not diagonalize either
operator. Nuclear trace class and the corrected extended divergence are accepted
Dependency50.P13 definitions. Only the finite trace correction is removed here.
Theorem 3 (PDF p.4) is recorded as accepted-library reuse, without a duplicate.
Compilation and independent moderation are pending the batch handoff.
-/

noncomputable section

open scoped Matrix ComplexConjugate ComplexOrder ENNReal

namespace QAlgorithms.Papers.Independent.Intakethird100.P46

attribute [local instance] Classical.propDecidable Classical.decEq

open QAlgorithms
open QAlgorithms.Papers.Independent.Dependency50.P13
  (IsTraceClass TraceClass IsPositive operatorTrace)
open QAlgorithms.Papers.Independent.Dependency50.P35 (Dominates)
open QAlgorithms.Papers.Independent.Bridge50.P49 (beigiSandwichedDivergence)

variable {H K : Type*}
  [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
  [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K]

/-- PDF p.2, Notation: a complex-linear map from the full trace-class space
T(H) to T(K). Its ambient values off trace class impose no restriction. -/
def TraceLinearOperationBetween
    (Phi : (H →L[ℂ] H) → (K →L[ℂ] K)) : Prop :=
  (∀ A, IsTraceClass A → IsTraceClass (Phi A)) ∧
  (∀ A B, IsTraceClass A → IsTraceClass B → Phi (A + B) = Phi A + Phi B) ∧
  (∀ (z : ℂ) A, IsTraceClass A → Phi (z • A) = z • Phi A)

example : TraceLinearOperationBetween (id : (H →L[ℂ] H) → (H →L[ℂ] H)) := by
  exact ⟨fun A hA => hA, fun A B hA hB => rfl, fun z A hA => rfl⟩

/-- PDF p.2: restrict the output of a trace-class operation to its actual domain. -/
def traceClassImage (Phi : (H →L[ℂ] H) → (K →L[ℂ] K))
    (hPhi : TraceLinearOperationBetween Phi) (A : TraceClass H) : TraceClass K :=
  ⟨Phi A.val, hPhi.1 A.val A.property⟩

example (Phi : (H →L[ℂ] H) → (K →L[ℂ] K))
    (hPhi : TraceLinearOperationBetween Phi) (A : TraceClass H) :
    (traceClassImage Phi hPhi A).val = Phi A.val := rfl

/-- PDF p.2, Notation and Theorem 1: positivity and trace preservation are
required on every positive trace-class input, not only on the displayed pair. -/
def PositiveTracePreservingBetween {I J : Type*}
    (b : HilbertBasis I ℂ H) (c : HilbertBasis J ℂ K)
    (Phi : (H →L[ℂ] H) → (K →L[ℂ] K)) : Prop :=
  TraceLinearOperationBetween Phi ∧ ∀ A, IsTraceClass A → IsPositive A →
    IsPositive (Phi A) ∧ operatorTrace c (Phi A) = operatorTrace b A

example {I : Type*} (b : HilbertBasis I ℂ H) :
    PositiveTracePreservingBetween b b (id : (H →L[ℂ] H) → (H →L[ℂ] H)) := by
  exact ⟨⟨fun A hA => hA, fun A B hA hB => rfl, fun z A hA => rfl⟩,
    fun A hA hp => ⟨hp, rfl⟩⟩

/-- PDF pp.2–3, Notation and Theorem 1': positivity and trace nonincrease
on the entire positive trace-class cone, between possibly different spaces. -/
def PositiveTraceNonincreasingBetween {I J : Type*}
    (b : HilbertBasis I ℂ H) (c : HilbertBasis J ℂ K)
    (Phi : (H →L[ℂ] H) → (K →L[ℂ] K)) : Prop :=
  TraceLinearOperationBetween Phi ∧ ∀ A, IsTraceClass A → IsPositive A →
    IsPositive (Phi A) ∧ (operatorTrace c (Phi A)).re ≤ (operatorTrace b A).re

example {I : Type*} (b : HilbertBasis I ℂ H) :
    PositiveTraceNonincreasingBetween b b (id : (H →L[ℂ] H) → (H →L[ℂ] H)) := by
  exact ⟨⟨fun A hA => hA, fun A B hA hB => rfl, fun z A hA => rfl⟩,
    fun A hA hp => ⟨hp, le_rfl⟩⟩

/-- PDF pp.1–2, (1) and Notation: literal unnormalized relative entropy in nats.
On positive trace-class pairs, the accepted corrected extended divergence is
D(rho||sigma)+tr(sigma-rho). Subtract ONLY this finite real trace correction.
The ENNReal-to-EReal embedding retains infinity; finite negative D is allowed.
No two potentially infinite entropy terms are subtracted. -/
def literalTraceClassRelativeEntropy {I : Type*} (b : HilbertBasis I ℂ H)
    (rho sigma : TraceClass H) : EReal :=
  (QAlgorithms.Papers.Independent.Dependency50.P13.relativeEntropy rho sigma : EReal) -
    (((operatorTrace b sigma.val).re - (operatorTrace b rho.val).re : ℝ) : EReal)

example {I : Type*} (b : HilbertBasis I ℂ H) (rho sigma : TraceClass H)
    (h : operatorTrace b sigma.val = operatorTrace b rho.val) :
    literalTraceClassRelativeEntropy b rho sigma =
      (QAlgorithms.Papers.Independent.Dependency50.P13.relativeEntropy rho sigma : EReal) := by
  simp [literalTraceClassRelativeEntropy, h]

/-- PDF p.3, (4)–(5): positive finite-dimensional maps with trace nonincrease
on every PSD matrix. Complex linearity is in the map type. -/
def PositiveMatrixTraceNonincreasing {d e : ℕ}
    (Phi : Matrix (Fin d) (Fin d) ℂ →ₗ[ℂ] Matrix (Fin e) (Fin e) ℂ) : Prop :=
  ∀ A, A.PosSemidef → (Phi A).PosSemidef ∧ (Phi A).trace.re ≤ A.trace.re

example (d : ℕ) : PositiveMatrixTraceNonincreasing
    (LinearMap.id : Matrix (Fin d) (Fin d) ℂ →ₗ[ℂ] Matrix (Fin d) (Fin d) ℂ) := by
  intro A hA
  exact ⟨hA, le_rfl⟩

/-- PDF pp.1–3, (1): finite-dimensional literal Umegaki entropy in nats,
including support failure. This direct formula also accepts subnormalized outputs. -/
def finiteLiteralRelativeEntropy {I : Type} [Fintype I] [DecidableEq I]
    (rho sigma : Matrix I I ℂ) : EReal :=
  if Dominates sigma rho then
    (((cfc (fun x : ℝ => x * Real.log x) rho -
      rho * cfc Real.log sigma).trace.re : ℝ) : EReal)
  else ⊤

example {I : Type} [Fintype I] [DecidableEq I]
    (rho sigma : Matrix I I ℂ) (h : ¬ Dominates sigma rho) :
    finiteLiteralRelativeEntropy rho sigma = ⊤ := by
  simp [finiteLiteralRelativeEntropy, h]

/-- PDF p.3, counterexample: discard off-diagonal entries and halve the first entry. -/
def traceDecreaseMap : Matrix (Fin 2) (Fin 2) ℂ →ₗ[ℂ] Matrix (Fin 2) (Fin 2) ℂ where
  toFun X := !![X 0 0 / 2, 0; 0, X 1 1]
  map_add' X Y := by
    ext i j
    fin_cases i <;> fin_cases j <;> simp [add_div]
  map_smul' z X := by
    ext i j
    fin_cases i <;> fin_cases j <;> simp [smul_eq_mul, mul_div_assoc]

example (X : Matrix (Fin 2) (Fin 2) ℂ) : traceDecreaseMap X 0 0 = X 0 0 / 2 := rfl

/-- PDF p.3, counterexample: the first normalized input state. -/
def counterexampleRho : Matrix (Fin 2) (Fin 2) ℂ := !![(1 / 3 : ℂ), 0; 0, 2 / 3]

/-- PDF p.3, counterexample: the second normalized input state. -/
def counterexampleSigma : Matrix (Fin 2) (Fin 2) ℂ := !![(2 / 3 : ℂ), 0; 0, 1 / 3]

example : counterexampleRho 0 0 = (1 / 3 : ℂ) := rfl

example : counterexampleSigma 1 1 = (1 / 3 : ℂ) := rfl

end QAlgorithms.Papers.Independent.Intakethird100.P46
Source
Monotonicity of the Quantum Relative Entropy Under Positive Maps, arXiv:1512.06117v3, https://arxiv.org/abs/1512.06117v3
Read-back

What the Lean code literally says, in plain math · gpt-6.1-sol

QAlgorithms.Papers.Independent.Intakethird100.P46.PositiveMatrixTraceNonincreasing

For natural numbers d,ed,ed,e, including zero, and a complex-linear map Φ:Md(C)→Me(C)\Phi:M_d(\mathbb C)\to M_e(\mathbb C)Φ:Md​(C)→Me​(C), this predicate says that every positive semidefinite matrix AAA has positive semidefinite image and satisfies

Re⁡Tr⁡Φ(A)≤Re⁡Tr⁡A.\operatorname{Re}\operatorname{Tr}\Phi(A)\le\operatorname{Re}\operatorname{Tr}A.ReTrΦ(A)≤ReTrA.

There is no trace-one or nonzero-input restriction.

QAlgorithms.Papers.Independent.Intakethird100.P46.PositiveTraceNonincreasingBetween

For complex Hilbert spaces H,KH,KH,K, arbitrary index types I,JI,JI,J, Hilbert bases b=(bi)i∈Ib=(b_i)_{i\in I}b=(bi​)i∈I​ and c=(cj)j∈Jc=(c_j)_{j\in J}c=(cj​)j∈J​, and a function Φ\PhiΦ between bounded complex-linear operators on these spaces, this predicate requires trace-class preservation, additivity and complex homogeneity on trace-class inputs, and, for every positive trace-class AAA, positivity of Φ(A)\Phi(A)Φ(A) together with

Re⁡∑j∈J⟨cj,Φ(A)cj⟩≤Re⁡∑i∈I⟨bi,Abi⟩.\operatorname{Re}\sum_{j\in J}\langle c_j,\Phi(A)c_j\rangle \le \operatorname{Re}\sum_{i\in I}\langle b_i,Ab_i\rangle.Rej∈J∑​⟨cj​,Φ(A)cj​⟩≤Rei∈I∑​⟨bi​,Abi​⟩.

Trace class means admitting Tx=∑r∈N⟨vr,x⟩urTx=\sum_{r\in\mathbb N}\langle v_r,x\rangle u_rTx=∑r∈N​⟨vr​,x⟩ur​ with ∑r∥ur∥∥vr∥\sum_r\|u_r\|\|v_r\|∑r​∥ur​∥∥vr​∥ summable; positivity means self-adjointness and nonnegative real quadratic forms. The traces use total infinite sums. Zero inputs are included, no normalization is required, and the basis index types need not be countable.

QAlgorithms.Papers.Independent.Intakethird100.P46.PositiveTracePreservingBetween

For complex Hilbert spaces H,KH,KH,K, arbitrary index types I,JI,JI,J, Hilbert bases b=(bi)i∈Ib=(b_i)_{i\in I}b=(bi​)i∈I​ of HHH and c=(cj)j∈Jc=(c_j)_{j\in J}c=(cj​)j∈J​ of KKK, and a function Φ\PhiΦ between their bounded complex-linear operators, this predicate requires that Φ\PhiΦ preserve trace-class operators, be additive and complex homogeneous on trace-class inputs, and, for every positive trace-class operator AAA, have positive output and satisfy

∑j∈J⟨cj,Φ(A)cj⟩=∑i∈I⟨bi,Abi⟩.\sum_{j\in J}\langle c_j,\Phi(A)c_j\rangle = \sum_{i\in I}\langle b_i,Ab_i\rangle.j∈J∑​⟨cj​,Φ(A)cj​⟩=i∈I∑​⟨bi​,Abi​⟩.

Here trace class means admitting a representation Tx=∑r∈N⟨vr,x⟩urTx=\sum_{r\in\mathbb N}\langle v_r,x\rangle u_rTx=∑r∈N​⟨vr​,x⟩ur​ with ∑r∥ur∥∥vr∥\sum_r\|u_r\|\|v_r\|∑r​∥ur​∥∥vr​∥ summable; positivity means T∗=TT^*=TT∗=T and Re⁡⟨x,Tx⟩≥0\operatorname{Re}\langle x,Tx\rangle\ge0Re⟨x,Tx⟩≥0 for every xxx. The displayed traces are the defined total infinite sums, and their equality is an equality in C\mathbb CC. No normalization or nonzero-input condition is required, and I,JI,JI,J are not assumed countable.

QAlgorithms.Papers.Independent.Intakethird100.P46.TraceLinearOperationBetween

For complex Hilbert spaces HHH and KKK, and an arbitrary function Φ\PhiΦ from bounded complex-linear operators on HHH to bounded complex-linear operators on KKK, this predicate requires that Φ\PhiΦ maps trace-class operators to trace-class operators, satisfies Φ(A+B)=Φ(A)+Φ(B)\Phi(A+B)=\Phi(A)+\Phi(B)Φ(A+B)=Φ(A)+Φ(B) whenever AAA and BBB are trace class, and satisfies Φ(zA)=zΦ(A)\Phi(zA)=z\Phi(A)Φ(zA)=zΦ(A) for every z∈Cz\in\mathbb Cz∈C and trace-class AAA. Here an operator TTT is trace class precisely when there exist sequences (ur)r∈N(u_r)_{r\in\mathbb N}(ur​)r∈N​ and (vr)r∈N(v_r)_{r\in\mathbb N}(vr​)r∈N​ in its Hilbert space such that ∑r∥ur∥∥vr∥\sum_r\|u_r\|\|v_r\|∑r​∥ur​∥∥vr​∥ is summable and Tx=∑r⟨vr,x⟩urTx=\sum_r\langle v_r,x\rangle u_rTx=∑r​⟨vr​,x⟩ur​ for every xxx. The predicate imposes no conditions on Φ\PhiΦ at operators outside this class.

QAlgorithms.Papers.Independent.Intakethird100.P46.counterexampleRho

This defines the 2×22\times22×2 complex matrix

(130023).\begin{pmatrix} \frac13&0\\ 0&\frac23 \end{pmatrix}.(31​0​032​​).

QAlgorithms.Papers.Independent.Intakethird100.P46.counterexampleSigma

This defines the 2×22\times22×2 complex matrix

(230013).\begin{pmatrix} \frac23&0\\ 0&\frac13 \end{pmatrix}.(32​0​031​​).

QAlgorithms.Papers.Independent.Intakethird100.P46.finiteLiteralRelativeEntropy

For any finite type III equipped with decidable equality, and arbitrary complex matrices ρ,σ\rho,\sigmaρ,σ indexed by III, this defines

L(ρ,σ)={Re⁡Tr⁡(f(ρ)−ρlog⁡(σ)),ker⁡σ⊆ker⁡ρ,+∞,otherwise,f(x)=xlog⁡x,L(\rho,\sigma)= \begin{cases} \operatorname{Re}\operatorname{Tr}\bigl(f(\rho)-\rho\log(\sigma)\bigr), &\ker\sigma\subseteq\ker\rho,\\ +\infty,&\text{otherwise}, \end{cases} \qquad f(x)=x\log x,L(ρ,σ)={ReTr(f(ρ)−ρlog(σ)),+∞,​kerσ⊆kerρ,otherwise,​f(x)=xlogx,

as an extended-real number, using continuous functional calculus for both matrix functions. The kernels are those of matrix multiplication on CI\mathbb C^ICI. No positivity, self-adjointness, normalization, or nonzero assumption is imposed; the finite branch is not truncated to be nonnegative. The real logarithm is total, with log⁡0=0\log0=0log0=0. The empty index type is allowed and gives value 000.

QAlgorithms.Papers.Independent.Intakethird100.P46.literalTraceClassRelativeEntropy

For a complex Hilbert space HHH, an arbitrary index type III, a Hilbert basis b=(bi)i∈Ib=(b_i)_{i\in I}b=(bi​)i∈I​, and trace-class operators ρ,σ\rho,\sigmaρ,σ on HHH, this defines the extended-real number

Lb(ρ,σ)=R(ρ,σ)−(Re⁡∑i⟨bi,σbi⟩−Re⁡∑i⟨bi,ρbi⟩).L_b(\rho,\sigma) = R(\rho,\sigma) -\left(\operatorname{Re}\sum_i\langle b_i,\sigma b_i\rangle -\operatorname{Re}\sum_i\langle b_i,\rho b_i\rangle\right).Lb​(ρ,σ)=R(ρ,σ)−(Rei∑​⟨bi​,σbi​⟩−Rei∑​⟨bi​,ρbi​⟩).

Here trace-class membership means admitting a representation Tx=∑r∈N⟨vr,x⟩urTx=\sum_{r\in\mathbb N}\langle v_r,x\rangle u_rTx=∑r∈N​⟨vr​,x⟩ur​ with summable ∥ur∥∥vr∥\|u_r\|\|v_r\|∥ur​∥∥vr​∥, and R(ρ,σ)R(\rho,\sigma)R(ρ,σ) is the supremum, in [0,∞][0,\infty][0,∞], over every n∈Nn\in\mathbb Nn∈N and every orthonormal family v0,…,vn−1v_0,\ldots,v_{n-1}v0​,…,vn−1​ in HHH, of the following quantity. Set Xij=⟨vi,ρvj⟩X_{ij}=\langle v_i,\rho v_j\rangleXij​=⟨vi​,ρvj​⟩ and Yij=⟨vi,σvj⟩Y_{ij}=\langle v_i,\sigma v_j\rangleYij​=⟨vi​,σvj​⟩; the quantity is +∞+\infty+∞ if ker⁡Y⊈ker⁡X\ker Y\nsubseteq\ker XkerY⊈kerX, and otherwise is

max⁡ ⁣{0,Re⁡Tr⁡(f(X)−Xlog⁡(Y)−X+Y)},f(x)=xlog⁡x,\max\!\left\{0,\operatorname{Re}\operatorname{Tr} \bigl(f(X)-X\log(Y)-X+Y\bigr)\right\}, \qquad f(x)=x\log x,max{0,ReTr(f(X)−Xlog(Y)−X+Y)},f(x)=xlogx,

with matrix functions interpreted by the continuous functional calculus. The supremum is embedded into the extended reals before subtracting the finite real trace difference. Neither positivity nor normalization of ρ,σ\rho,\sigmaρ,σ is assumed; the supremum includes n=0n=0n=0, and real logarithms and infinite sums have their total-function meanings.

QAlgorithms.Papers.Independent.Intakethird100.P46.traceClassImage

For complex Hilbert spaces H,KH,KH,K, a function Φ\PhiΦ between their bounded complex-linear operators, a hypothesis that Φ\PhiΦ preserves trace-class operators and is additive and complex homogeneous on them, and a trace-class operator AAA on HHH, this definition returns the trace-class operator on KKK whose underlying operator is Φ(A)\Phi(A)Φ(A). An operator TTT is trace class here when it admits sequences ur,vru_r,v_rur​,vr​ with ∑r∥ur∥∥vr∥\sum_r\|u_r\|\|v_r\|∑r​∥ur​∥∥vr​∥ summable and Tx=∑r⟨vr,x⟩urTx=\sum_r\langle v_r,x\rangle u_rTx=∑r​⟨vr​,x⟩ur​ for every xxx; the supplied hypothesis provides this property for Φ(A)\Phi(A)Φ(A).

QAlgorithms.Papers.Independent.Intakethird100.P46.traceDecreaseMap

This defines the complex-linear map on 2×22\times22×2 complex matrices given, for every input XXX, by

X⟼(X00/200X11).X\longmapsto \begin{pmatrix} X_{00}/2&0\\ 0&X_{11} \end{pmatrix}.X⟼(X00​/20​0X11​​).

Its linear-map structure includes additivity and homogeneity for every complex scalar; no restriction is placed on the input matrix.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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