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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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Kraus and Choi characterizations of complete positivity

Statement

Let H,K be finite-dimensional complex inner-product spaces, fix an ordered orthonormal basis B of H, and let Φ:L(H)→L(K) be complex-linear. The following are equivalent: Φ is completely positive; JB(Φ) is non-negative; and Φ has a finite Kraus representation.

Facts & Assumptions

Given: Finite-dimensional complex inner-product spaces H,K, an ordered orthonormal input basis B, and a complex-linear map Φ between their endomorphism spaces.

[F1]

Complete positivity implies Choi positivity (same-page result): complete positivity implies JB(Φ)⪰0.

[F2]

A positive Choi matrix yields finite Kraus operators (same-page result): JB(Φ)⪰0 implies a finite Kraus representation.

[F3]

A finite Kraus sum is completely positive (same-page result): a finite Kraus representation implies complete positivity.

[A1]

Completely positive maps: complete positivity is the positivity-preserving property of every finite ancillary block amplification.

[L1]

Choi matrix with input factor first (same-page definition): the Choi convention is JB(Φ)=∑i,jEij⊗Φ(Eij), input factor first and output factor second.

[L2]

Finite Kraus representation (same-page definition): a finite family (Ka) represents Φ when Φ(X)=∑aKaXKa† for every X.

Proof

1.1givenF1F2A1L1

Suppose Φ is completely positive. By [F1], its Choi matrix is non-negative. Suppose instead that its Choi matrix is non-negative. By [F2], Φ has a finite Kraus representation. These give the first two implications in the cycle.

2.1givenF3L1L2step 1.1∎

If Φ has a finite Kraus representation in the sense of [L2], [F3] implies that Φ is completely positive. This closes the cycle, so each of the three stated conditions implies the other two. All statements use the same fixed input basis and the input-first/output-second Choi convention of [L1].

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Sources