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.
Completeness of countable square-summable sequences
Statement
With the inner product and norm of Square-summable families on an arbitrary index set and the space , the complex sequence space is complete. Hence it is a complex Hilbert space in the sense of Hilbert space.
Facts & Assumptions
Given: The index set is , the scalar field is , and the square-summable-family norm is the supremum of finite subsums as in [F1].
Square-summable families on an arbitrary index set and the space : the square-summable families form an inner-product space with norm and pairing , linear in the first argument.
The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts: every Cauchy sequence in converges.
Hilbert space: a complex Hilbert space is an inner-product space complete in its induced norm.
Proof
Let be Cauchy in . For each fixed , , so [F2] gives a unique coordinate limit . The sequence is norm-bounded: choose so that for , bound those terms by , and enlarge the bound to include the finitely many earlier norms. Call the resulting bound . For every finite , finite-sum continuity gives . Taking the supremum over finite shows .
Given , choose so whenever . Fix . For each finite , coordinate convergence and the finite sum imply . Taking the supremum over finite gives . Thus every Cauchy sequence converges in this norm; [F3] gives the Hilbert-space conclusion. The coordinate limits are uniquely determined, so no choice principle is used.