Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Finite Dyson remainder, coefficient unitarity, and regulator counterexamples

Statement

Assume the Countable Choice axiom ACω (The Axiom of Countable Choice (ACω)). Let d≥1, T>0, ℏ>0, and λ∈R. Let H0=H0† be a d×d Hermitian matrix with entries in joules, and let V:[0,T]→Md(C) be norm-continuous, Hermitian-valued, and in joules. Define VI(t)=eitH0/ℏV(t)e−itH0/ℏ,B=sup⁡0≤t≤T∥VI(t)∥,z=∣λ∣BTℏ. The coupling λ is dimensionless and z is dimensionless. Put S0(t)=I and Sn+1(t)=−iℏ∫0tVI(r)Sn(r) dr,S(t)=∑n=0∞λnSn(t). Then the series converges in operator norm on [0,T], S is the unique solution of S˙=−iλVIS/ℏ, S(0)=I, and S(t) is unitary. For every N≥0, ∥S(T)−∑n=0NλnSn(T)∥≤ezzN+1(N+1)!.

For a finite matrix A, define its Hermitian imaginary part by Im⁡HA:=(A−A†)/(2i); for a scalar entry w∈C, Im⁡w has its ordinary scalar meaning.

Define S(T;λ)=I+iT(λ) and T(λ)=∑n≥1λnTn. For every pair of basis indices f,i, exact unitarity gives 2 Im⁡Tii(λ)=∑f∣Tfi(λ)∣2, and coefficient comparison gives T1=T1† and 2 Im⁡HT2=T1†T1. These are identities for this finite matrix model.

For H=gEσx on C2, where gE>0 is in joules and σx=(0110), the evolution matrix is e−itH/ℏ=cos⁡(gEt/ℏ)I−isin⁡(gEt/ℏ)σx. Its exact off-diagonal matrix-element square is sin⁡2(gEt/ℏ); its first-order squared coefficient is (gEt/ℏ)2, which can exceed 1. For every positive rate Γ in s−1, the survival matrix-element square cos⁡2(gEt/ℏ) is not e−Γt.

For an integer N≥0, on the finite basis ∣0⟩,…,∣N⟩ define aN∣n⟩=n ∣n−1⟩ (zero at n=0) and aN†∣n⟩=n+1∣n+1⟩ for n<N, with aN†∣N⟩=0. Then [aN,aN†]=I−(N+1)∣N⟩⟨N∣. No finite-dimensional matrices can satisfy [A,B]=I, because the trace of a commutator is zero while the trace of I is the dimension.

Facts & Assumptions

Given: d≥1, T>0, ℏ>0, real dimensionless λ, Hermitian H0, and a norm-continuous Hermitian matrix family V(t) on [0,T], all with the units fixed in QFT example units, metric, gauge, and pairing conventions.

[F1]

QFT example units, metric, gauge, and pairing conventions: ℏ has units J s, energy matrices have units joules, λ is dimensionless, and finite matrices use the operator norm.

[F2]

Norm Dyson series and uniqueness: for the stated norm-continuous bounded self-adjoint operator family, the Volterra equation has a unique continuous solution.

[F3]

Norm Dyson series and uniqueness: every propagator supplied by that theorem is unitary; its full statement also supplies the norm-Dyson convergence and factorial bound.

[A1]

The Axiom of Countable Choice (ACω): ACω is the choice principle assumed by the exact controlled-dynamics supplier; no stronger choice principle is used.

Proof

1.1givenF1algebra

The matrix exponential is defined by its norm-convergent power series; termwise differentiation on compact time intervals gives W′(t)=iH0W(t)/ℏ for W(t)=eitH0/ℏ. Hence (W(t)†W(t))′=0 and W(0)†W(0)=I, so W is unitary (in finite dimension a left inverse is an inverse). Therefore VI(t)=W(t)V(t)W(t)† is Hermitian and norm-continuous. Its norm is bounded on compact [0,T], so B<∞.

1.2givenF1algebra

Recursion expresses λnSn(T) as an n-fold ordered integral with integrand of norm at most (∣λ∣B/ℏ)n. The volume of 0<tn<⋯<t1<T is Tn/n!: induction integrates the preceding volume tn−1/(n−1)! from 0 to T. Thus ∥λnSn(T)∥≤zn/n! and the same bound with T replaced by any t∈[0,T] holds uniformly. The scalar exponential series proves uniform absolute convergence.

1.3givenF1algebra

For σx2=I, separate the even and odd powers in the absolutely convergent exponential series: e−izσx=∑k≥0(−1)kz2k(2k)!I−i∑k≥0(−1)kz2k+1(2k+1)!σx=cos⁡z I−isin⁡z σx, where z=gEt/ℏ. Its off-diagonal entry has modulus square sin⁡2z, and the first-order term has modulus square z2. Taking ∣z∣>1 makes the latter exceed 1. Also cos⁡2z has derivative 0 at t=0, whereas e−Γt has derivative −Γ<0 there; so they cannot agree for all t when Γ>0.

2.1step 1.2algebra

For the tail, write n=N+1+k. Then ∑n=N+1∞znn!=zN+1(N+1)!∑k=0∞zk(N+2)⋯(N+1+k)≤zN+1(N+1)!∑k=0∞zkk!=ezzN+1(N+1)!, where an empty product is 1 and (N+2)⋯(N+1+k)≥k!. The norm tail is bounded by this scalar tail.

2.2givenA1F2F3step 1.2

The family H(t)=λVI(t) satisfies the exact hypotheses of [F2] and [F3] on the compact interval [0,T]: it is bounded, norm-continuous and self-adjoint, and the required ACω is [A1]. The recursion above is its Dyson recursion, so [F2] supplies the Volterra equation and uniqueness, [F3] supplies unitarity of S(t), and step 1.2 supplies the displayed sharper bound with B.

3.1step 1.2step 2.2algebra

From S=I+iT, S†S=I expands to i(T−T†)+T†T=0. Its ii entry is −2 Im⁡Tii+∑f∣Tfi∣2=0, proving the exact identity. The norm-convergent power series makes T(λ) analytic near 0 (indeed entire), so coefficient comparison is valid: the λ term gives T1=T1†, and the λ2 term gives i(T2−T2†)+T1†T1=0, hence 2 Im⁡HT2=T1†T1.

4.1step 3.1algebra

For the linear truncation Str=I+iλT1 with T1=T1†, multiplication gives Str†Str=I+λ2T12. If λT1≠0, then T12 is nonzero positive semidefinite because ⟨T12v,v⟩=∥T1v∥2; hence this truncation is not unitary. The exact coefficient relation in step 3.1 therefore requires the higher-order correction whenever its right side is nonzero.

5.1givenF1algebra∎

For n<N, direct application gives aNaN†∣n⟩=(n+1)∣n⟩ and aN†aN∣n⟩=n∣n⟩, so the commutator equals ∣n⟩. At n=N, the two terms are 0 and N∣N⟩, so their difference is −N∣N⟩. These are exactly the values of I−(N+1)∣N⟩⟨N∣ on each basis vector. For arbitrary finite matrices A,B, tr⁡(AB)=∑i,jAijBji=tr⁡(BA) by swapping dummy indices, so tr⁡[A,B]=0; but tr⁡I=d>0. Thus the unmodified canonical commutator cannot hold on a finite-dimensional space.

Depends on

Dependency tree · 2 levels

Sources