Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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  • 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.

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An orthogonal finite ensemble block sum is a density operator

Statement

Let X be a finite nonempty set, identify its labels with the computational orthonormal basis (ξx)x∈X of a register HX (Finite registers and their ordered computational bases), and define the orthogonal rank-one projection Πx:HX→HX by Πxz:=⟨z,ξx⟩ξx under the root linear-first convention. Let HB be a nonzero finite-dimensional complex inner-product space. For probabilities px≥0 with ∑x∈Xpx=1 and density operators ρx on HB, the operator

ρXB:=∑x∈XpxΠx⊗ρx

is a density operator on HX⊗HB.

Facts & Assumptions

Given: The finite label set X, the register HX, the space HB, the probability vector (px), and the density operators (ρx) in the Statement.

[F1]

Finite registers and their ordered computational bases: the computational vectors (ξx) form an orthonormal basis of their finite register.

[F2]

Density operator: each ρx is non-negative with trace one.

[F3]

Ordered tensor registers, their inner product, and wire permutations: the tensor product carries the product inner product and the displayed factor order.

[F5]

The basis-independent trace of an endomorphism of a finite-dimensional vector space: trace is the sum of diagonal entries in any ordered basis.

Proof

1.1givenF1F2F3F4algebra

Every v∈HX⊗HB has a unique form v=∑x∈Xξx⊗vx. Orthonormality in [F1] and the product inner product in [F3] give ⟨ρXBv,v⟩=∑xpx⟨ρxvx,vx⟩≥0 by [F2]. In the same product basis ρXB is block diagonal with self-adjoint blocks pxρx, so it is self-adjoint and non-negative by [F4].

2.1givenF2F5step 1.1algebra∎

By [F5], tr⁡(ρXB)=∑xpxtr⁡(ρx)=∑xpx=1. Thus ρXB is a density operator by [F2].

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Sources