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Exact regulated transition probabilities and controlled coefficients

Physical scope

Exact deductions in an explicitly constructed finite-dimensional regulated model with a supplied finite projective measurement, an adopted pure-state update by the constructed unitary, and the constructed-model Born postulate. Finite-order squares are not generally probabilities. No continuum QFT, regulator removal, asymptotic scattering operator, empirical result, or sample-based inference is asserted.

Statement

Assume the Axiom of Countable Choice ACω (The Axiom of Countable Choice (ACω)), and use the finite regulated model type of Example observable types and scoped meanings. Let d≥1, let τ>0 be a time interval endpoint in seconds, let ℏ>0 have unit J s, and let λ∈R be dimensionless. Let H0=H0∗∈Md(C) have unit joule and let V:[0,τ]→Md(C) be norm-continuous, Hermitian-valued, and joule-valued. Set VI(t)=eitH0/ℏV(t)e−itH0/ℏ,B=sup⁡0≤t≤τ∥VI(t)∥,z=∣λ∣Bτℏ. Define S0(t)=I and Sn+1(t)=−iℏ∫0tVI(r)Sn(r) dr,S(t)=∑n=0∞λnSn(t). For W∈Md(C), unitary means W∗W=WW∗=I. Write U(τ)=e−iH0τ/ℏS(τ) and, for N≥0, UN(τ)=e−iH0τ/ℏ∑n=0NλnSn(τ),RN=ezzN+1(N+1)!.

Let ψ∈Cd be a unit initial vector. A supplied finite projective measurement is a family P1,…,Pm∈Md(C), m≥1, satisfying Pa=Pa∗=Pa2, PaPb=0 for a≠b, and ∑a=1mPa=I. Equivalently, the one-Kraus-per-outcome data Ma,1=Pa form a normalized finite instrument in the sense of Finite bounded Kraus instrument. Adopt the constructed-model Born interpretation of Physical interpretation of a supplied constructed quantum model only for this actually constructed finite model and measurement. For its physical reading, also adopt the explicit preparation/evolution assumption [A3]: the initial density is ρ0:=Tψ,ψ, and the model density at the measurement time is ρτ:=U(τ)ρ0U(τ)∗=TU(τ)ψ,U(τ)ψ. Here Tu,v is the rank-one map x↦⟨x,v⟩u of Finite bounded instruments normalize measurement probabilities. The Dyson result proves that this matrix U(τ) is unitary; identifying it with the selected model's state update is an adopted physical assumption, not a conclusion about nature. Define the exact model probability and the truncated squared norm by pa=∥PaU(τ)ψ∥2,qa,N=∥PaUN(τ)ψ∥2. Then pa∈[0,1], ∑apa=1, and ∣pa−qa,N∣≤(2qa,N+RN)RN. The nonnegative number qa,N is a truncation-derived square, not generally a probability.

For the exact finite interaction matrix write S(τ;λ)=I+iT(λ) and T(λ)=λT1+λ2T2+⋯. Use the standard basis e1,…,ed for matrix entries, so Tfi:=ef∗Tei for 1≤f,i≤d. For a matrix A, define its Hermitian imaginary part by Im⁡HA:=(A−A∗)/(2i). Exact unitarity gives 2Im⁡Tii(λ)=∑f=1d∣Tfi(λ)∣2,T1=T1∗,2Im⁡HT2=T1∗T1. These are finite-regulator coefficient identities, not continuum optical or scattering theorems.

In the two-level case H0=0, λ=1, and V(t)=gEσx with gE>0 in joules and σx=(0110), the exact transition probability from e1=(1,0) to the projector P=∣e2⟩⟨e2∣ is sin⁡2z, where the previously defined z equals gEτ/ℏ because VI=V and ∥σx∥=1; the first-order squared transition coefficient is z2 and may exceed 1. For all real z, ∣sin⁡2z−z2∣≤∣z∣43. The exact survival factor is cos⁡2z, which is not e−Γτ for any Γ>0 on all τ≥0.

For the occupation truncation with orthonormal basis e0,…,eN, define aNen=n en−1 (zero for n=0), aN∗en=n+1 en+1 for n<N, and aN∗eN=0. Then [aN,aN∗]=I−(N+1)∣eN⟩⟨eN∣. More generally, no finite-dimensional matrices A,B satisfy [A,B]=I. These exact regulator facts assert neither an infinite-dimensional CCR construction nor a continuum limit.

Facts & Assumptions

Given: ACω; the finite model and SI conventions of Example observable types and scoped meanings, Quantum field quantities and compatible SI normalizations, and QFT example units, metric, gauge, and pairing conventions; finite projectors Pa and unit vector ψ; the finite-instrument definition and normalization result; and the adopted constructed-model measurement postulate.

[F1]

Example observable types and scoped meanings: the exact regulated model uses Cd, declared Hamiltonian data, a dimensionless coupling, a unit initial vector, and a separately specified measurement.

[F2]

Quantum field quantities and compatible SI normalizations: the selected QFT model declares its regulator, coupling, state, and constructed measurement as model inputs; derived probabilities require the construction and an adopted rule.

[F3]

QFT example units, metric, gauge, and pairing conventions: finite matrices use the operator norm, energy matrices are joule-valued, and ℏ has unit J s.

[A1]

The Axiom of Countable Choice (ACω): every countable family of nonempty sets has a choice function; only this ACω principle is assumed here.

[F4]

Finite bounded Kraus instrument: a finite instrument is normalized when ∑a,rMa,r∗Ma,r=I; finite orthogonal projectors with Ma,1=Pa satisfy this condition.

[F5]

Finite bounded instruments normalize measurement probabilities: under ACω, a unit vector ϕ and normalized finite instrument have outcome probability pa=∑r∥Ma,rϕ∥2 and the probabilities sum to 1.

[A2]

Physical interpretation of a supplied constructed quantum model: the Born rule is adopted as a model probability only for an actually supplied state and normalized finite measurement instrument; it is not an apparatus-realization theorem.

[A3]

For this selected finite model, adopt the pure-state preparation ρ0=Tψ,ψ and the measurement-time state update ρτ=U(τ)ρ0U(τ)∗=TU(τ)ψ,U(τ)ψ. This is an explicit physical model assumption. Tong, Quantum Field Theory, §3.1.1, Eqs. (3.215)–(3.225), presents the interaction-picture evolution convention used here; its adoption does not establish empirical applicability or apparatus realization. The Dyson theorem proves mathematical unitarity of U(τ) but does not establish that nature realizes this model.

[F6]

Finite Dyson remainder, coefficient unitarity, and regulator counterexamples: for the stated finite Hermitian H0,V, dimensionless λ, and Countable Choice, the interaction series converges in operator norm, is unitary, and has tail bound ezzN+1/(N+1)!.

[F7]

Finite Dyson remainder, coefficient unitarity, and regulator counterexamples: the same finite theorem gives the exact matrix and coefficient unitarity identities; the standard-basis entries and Hermitian imaginary-part convention used here are defined in the Statement.

[F8]

Finite Dyson remainder, coefficient unitarity, and regulator counterexamples: in the two-level model with H=gEσx, the exact transition square is sin⁡2(gEt/ℏ), its first-order squared coefficient is (gEt/ℏ)2, and the exact survival square is not a positive-rate exponential.

[F9]

Finite Dyson remainder, coefficient unitarity, and regulator counterexamples: on the occupation truncation, [aN,aN∗]=I−(N+1)∣eN⟩⟨eN∣; no finite-dimensional matrices satisfy [A,B]=I.

Proof

1.1givenA1F1F2F3F6algebra

Since H0 is Hermitian and ℏ>0, the matrix exponential eitH0/ℏ is a norm-continuous unitary family. Conjugation therefore makes VI(t) norm-continuous and Hermitian; compactness of [0,τ] gives B<∞. The declared units give [B]=J, so z is dimensionless [F3]. The hypotheses of [F6] now hold for the stated H0,V,λ,τ and ACω [A1]. Thus S(τ) is unitary and its order-N truncation has operator-norm error at most RN. The free factor e−iH0τ/ℏ is unitary because H0 is Hermitian; left multiplication by it preserves norm, so U(τ) is unitary and ∥U(τ)−UN(τ)∥≤RN.

1.2F7algebra

Applying the exact unitary coefficient identities in [F7] to S=I+iT(λ) gives the displayed diagonal and first-two-order relations, with the standard-basis entries and Im⁡H convention specified in the Statement. Their supplier proves them by expanding S∗S=I and comparing coefficients of its norm-convergent series; they are identities for this finite interaction matrix.

1.3givenF3F8algebra

In the stated two-level specialization, [F8] gives e−izσx=cos⁡z I−isin⁡z σx, so the exact transition probability is sin⁡2z and the first-order squared coefficient is z2. Also sin⁡z−z=∫0z(cos⁡u−1) du and ∣1−cos⁡u∣=2sin⁡2(u/2)≤u2/2, so ∣sin⁡z−z∣≤∣z∣3/6; together with ∣sin⁡z∣≤∣z∣ this yields ∣sin⁡2z−z2∣≤(∣z∣3/6)(2∣z∣)=∣z∣4/3. Finally the derivative of cos⁡2(gEτ/ℏ) at τ=0 is 0, while that of e−Γτ is −Γ<0 for Γ>0; the two functions cannot agree on all τ≥0.

2.1givenA1A2A3F4F5step 1.1algebra

Each Pa is a bounded matrix, and the projection identities give ∑aMa,1∗Ma,1=∑aPa=I [F4]. By step 1.1, ϕ:=U(τ)ψ is a unit vector. Assumption [A3] identifies the model's measurement-time density with Tϕ,ϕ, so [F5] gives tr⁡(Ja(ρτ))=∑r∥Ma,rϕ∥2 and ∑atr⁡(Ja(ρτ))=1 under [A1]. Since Ma,1=Pa, this trace is ∥PaU(τ)ψ∥2. The Born postulate [A2] assigns it the model-probability interpretation; this is a conditional model deduction, not an empirical observation.

3.1step 1.1step 2.1algebra

Put b=∥PaUN(τ)ψ∥=qa,N and c=∥PaU(τ)ψ∥=pa. For every vector x, x=Pax+(I−Pa)x is an orthogonal decomposition because Pa=Pa∗=Pa2; hence ∥Pax∥≤∥x∥ and ∥Pa∥≤1. By step 1.1, ∣c−b∣≤∥Pa(U−UN)ψ∥≤RN. Therefore c≤b+RN and ∣pa−qa,N∣=∣c−b∣(c+b)≤RN(2b+RN), as claimed.

4.1F9algebra∎

The definition of aN∗ gives aNaN∗en=(n+1)en and aN∗aNen=nen for n<N, while at n=N these are 0 and NeN. Thus the commutator acts as en for n<N and −NeN for n=N, exactly the action of I−(N+1)∣eN⟩⟨eN∣ [F9]. For finite matrices, tr⁡(AB)=∑i,jAijBji=tr⁡(BA) by interchanging the finite indices; hence tr⁡[A,B]=0, whereas tr⁡I=d>0. Therefore [A,B]=I is impossible in finite dimension.

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