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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A finite instrument with nonzero input has nonzero output space
Statement
Let be a nonzero finite-dimensional complex inner-product space, let be a finite-dimensional complex inner-product space, and suppose a finite instrument from to exists. Then is nonzero.
Facts & Assumptions
Given: A nonzero finite-dimensional input space , a finite-dimensional output space , and a finite instrument from to .
Finite instruments and conditional states: for every , .
Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis: every finite-dimensional vector space has a finite basis, and dimension zero is equivalent to being the zero space.
Coordinate columns and matrices of linear maps relative to ordered bases, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, The basis-independent trace of an endomorphism of a finite-dimensional vector space, and The trace as the sum of the diagonal entries: in an ordered basis of length , the identity endomorphism has matrix , and its trace is the sum of its diagonal ones.
Proof
Put . By [F2] and , ; choose an ordered basis of length . The coordinate columns of the identity map give the matrix by [F3], so .
Suppose . Then [F2] gives , so every output endomorphism is the zero operator and has trace . Applying [F1] to would give , contradicting step 1.1. Hence and .
Depends on
- Finite instruments and conditional states
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Coordinate columns $[v]_{\mathcal B}$ and matrices $[T]_{\mathcal B}^{\mathcal C}$ of linear maps relative to ordered bases
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
- The basis-independent trace of an endomorphism of a finite-dimensional vector space
- The trace $\operatorname{tr}(A)$ as the sum of the diagonal entries
Used by
Dependency tree · two levels
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Sources
- John Watrous, The Theory of Quantum Information (2018 author-hosted draft), §2.3.2 (standard reference, not scraped)
- John Preskill, Quantum Computation, Chapter 3: Foundations II: Measurement and Evolution, §3.2.4 (standard reference, not scraped)