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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Completeness and linear domain of the diagonal sequence model
Statement
For the finite or explicitly enumerated countable index set of Diagonal self-adjoint operator model, the inner-product space is complete and therefore a complex Hilbert space, with inner product linear in the first variable. For any real family , the displayed domain is a linear subspace containing every finite-support vector, is dense in , and is a linear map from that domain into . These assertions also hold for the empty finite index set.
Facts & Assumptions
Given: The coefficient space and real energies in the diagonal definition.
Square-summable families on an arbitrary index set and the space : finite-subset suprema define the square sum and its norm, and the coordinate pairing defines an inner-product space.
The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts: every Cauchy sequence of complex numbers has a unique limit.
Hilbert space: a complete inner-product space is a Hilbert space.
Diagonal self-adjoint operator model: consists of coefficient families whose energy-weighted square sum is finite.
Proof
Given: A Cauchy sequence in the stated coefficient norm.
The sequence is norm bounded, say . For each coordinate, , so [F2] gives a unique limit . For every finite , passing to the limit in its finite sum gives . Taking the finite-subset supremum proves . No selection of nonunique coordinate limits is involved.
If and , then for every finite , The right side is bounded independently of , so ; the zero vector is included. The coordinate action is linear and has square-summable output by the domain definition. Every finite-support vector belongs to this domain because each is finite.
Given , choose with for all . For fixed and finite , let to obtain . Taking the supremum over gives . Thus the space is complete and is Hilbert by [F3].
For any and , the finite-subset supremum supplies a finite whose square sum differs from the total by less than . For every finite , its square sum is at most that difference, by applying the total bound to . Hence the norm of the omitted tail is at most . Finite-coordinate truncations therefore approximate and lie in by step 1.2, proving density. If is empty all spaces and maps are zero, and the same statements hold directly.