Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generated
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.

Finite registers and their ordered computational bases

Definition

For an integer d≥1, the d-level register is the complex inner-product space Qd=Cd with the standard pairing ⟨z,w⟩root=∑j<dzjwj‾, linear in the first argument as in Real and complex inner-product spaces and their induced length and The standard formulas ⟨x,y⟩=∑k<nxkyk on Rn and ∑k<nxkyk‾ on Cn are inner products. Its computational basis is the ordered standard basis (e0,…,ed−1) of The standard list e:n→Fn with ei(i)=1F and ei(j)=0F for j≠i is an ordered basis of Fn; hence dim⁡FFn=n, and F0 is the zero space with basis ∅ and dimension 0. The register's alphabet is the ordered set {0,…,d−1}.

For n≥0, the n-qubit register is the ordered tensor product over C of n copies of Q2. Here ⊗C is the algebraic module tensor product (The tensor product M⊗RN from the additive group underlying the free Z-module on M×N, elementary tensors, and finite tensor sums), with its complex-module structure and finite iterated/empty-product conventions from Over a commutative ring, M⊗RN is an R-module with r(m⊗n)=(rm)⊗n=m⊗(rn) and Finite iterated tensor products represent multilinear maps independently of parenthesization. The tuple of bit positions is ordered lexicographically, with the first wire as the most significant position; the product-basis theorem below establishes the corresponding elementary tensors as a basis. For n=0, the empty tensor product is C with basis {1}. This one-dimensional trivial register is distinct from the zero vector space C0. By definition a register has positive dimension; a zero-dimensional space may still occur as a factor in the more general tensor-space construction below.

Depends on

Used by

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Dependency tree · two levels

44 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources