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Quantitative preparation-tail and waiting-time condition

Statement

Use the normalized kernel and correlation-moment lemma under their hypotheses. Assume countable choice for the scalar change-of-variables theorem used below. Fix an integer d≥1 and put V=Md(C), with spectral operator norm ∥A∥=sup⁡∥x∥2≤1∥Ax∥2. Let E be the space of complex-linear maps V→V, with induced norm ∥T∥=sup⁡∥A∥≤1∥T(A)∥. Fix t>t0. Assume that s↦Δ(t,s)∈E is strongly measurable on (−∞,t0] with respect to Lebesgue measure, and that ∥Δ(t,s)∥≤4γ∥C(t−s)∥ent almost everywhere there. Retain the convolution hypothesis of the moment lemma. Then the preparation-tail map DT(t)=−∫−∞t0Δ(t,s) ds exists as a Bochner integral in E and obeys ∥DT(t)∥≤Γτ/(t−t0).

For any density operator ρ on Cd, identified with its matrix in the standard orthonormal basis, and any ε>0, the condition t−t0≥1/(εΓ) implies ∥DT(t)(ρ)∥≤εΓ2τ.

Facts & Assumptions

[F1]

The normalization lemma defines Γ>0 and τ≥0. ULE kernel adjoint symmetry and rate identities

[F2]

Under the convolution premise, the nonnegative measurable function u↦∥C(u)∥ent satisfies 4γ∫0∞u∥C(u)∥entdu≤Γτ. A first-moment bound for the bath correlation convolution

[F3]

A real or complex normed space with an ordered finite basis is Banach. The space E above has the d4 coordinate maps that send one standard matrix unit to one standard matrix unit and all other matrix units to zero as an ordered basis. Every finite-dimensional normed space is Banach

[F4]

Strong measurability means almost-everywhere norm convergence of measurable simple functions. A Bochner integral is the norm limit of the integrals of integrable simple approximants converging in L1. Strongly measurable Banach-valued function Bochner-integrable function

[F5]

For a strongly measurable Banach-valued function f, finiteness of ∫∥f∥ is equivalent to Bochner integrability, and ∥∫f∥≤∫∥f∥. Bochner integrability criterion Bochner integral norm inequality

[F6]

A density operator on a nonzero finite-dimensional complex inner-product space is a non-negative endomorphism of trace one; in an orthonormal basis its matrix is Hermitian positive semidefinite. Density operator

[F7]

The nonnegative integral is monotone and positively homogeneous. Under countable choice, a C1 diffeomorphism T:U→W between open subsets of Euclidean space satisfies ∫Wf(u)du=∫Uf(T(s))∣det⁡DT(s)∣ds for nonnegative Lebesgue measurable f. Monotonicity and nonnegative homogeneity of the nonnegative integral A C¹ diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions

[F8]

A normal endomorphism of a finite-dimensional complex inner-product space admits an orthonormal eigenbasis. Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely

[A1]

Assume countable choice: every sequence of nonempty sets has a choice function. It is used here in the scalar change-of-variables supplier in [F7]. The Axiom of Countable Choice (AC_ω)

Proof

Given: The stated kernel, correlation and strong-measurability hypotheses, countable choice, and D=t−t0>0. Goal: Establish existence of the tail map and both quantitative bounds.

1.1givenF2F7A1F5

Apply [F7] to T(s)=t−s from (−∞,t0) to (D,∞); it is a C1 diffeomorphism with ∣dTds(s)∣=1. Endpoints have Lebesgue measure zero. Domination, substitution and monotonicity therefore give ∫−∞t0∥Δ(t,s)∥ds≤4γ∫D∞∥C(u)∥entdu≤(4γ/D)∫0∞u∥C(u)∥entdu≤Γτ/D<∞, using 1≤u/D for u≥D. The norm integrand is measurable up to a null set by strong measurability, as in [F5].

2.1givenF3F4F5step 1.1

By [F3], E is Banach. Strong measurability and the finite norm integral in step 1.1 allow [F5] to be applied in E, so the Bochner integral defining DT(t) exists in the sense of [F4]. Its norm is at most ∫−∞t0∥Δ(t,s)∥ds≤Γτ/D.

3.1givenF1F6F8step 2.1algebra∎

By [F6], ρ is Hermitian positive semidefinite with trace one. Apply [F8] to this normal matrix. Its eigenvalues λj are nonnegative, since its quadratic form on a unit eigenvector is λj, and their sum is its trace, namely one. Thus 0≤λj≤1. For a vector with coordinates xj in the orthonormal eigenbasis, ∥ρx∥22=∑jλj2∣xj∣2≤∑j∣xj∣2=∥x∥22, giving ∥ρ∥≤1. By the induced map norm, ∥DT(t)(ρ)∥≤∥DT(t)∥∥ρ∥≤Γτ/D. If D≥1/(εΓ), this is at most εΓ2τ, also when τ=0. This bounds the stated transient map and does not assert a uniform bound between evolved trajectories.

Depends on

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