Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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 POVMs and their outcome law

Definition

Let H be a nonzero finite-dimensional complex inner-product space; the pairing is linear in its first argument (Finite-dimensional vector space, and its dimension dim⁡FV; infinite-dimensional means having no finite basis, Real and complex inner-product spaces and their induced length). Write L(H) for its complex-linear endomorphisms (The space L(V,W) of linear maps with pointwise addition and scalar multiplication) and let Ω be a finite nonempty outcome set. A finite POVM on H with outcomes Ω is a family E=(Ea)a∈Ω with each Ea nonnegative and ∑a∈ΩEa=IH; after any enumeration of Ω, these operators form the finite complete positive family of Finite positive effect family. Reordering does not alter the finite sum. The complete-family lemma A complete positive family consists of effects shows that every Ea also has nonnegative complement IH−Ea, so each is an effect.

For a density operator ρ on H (a nonnegative operator of trace one, Density operator), its POVM outcome weights are

pρ(a):=tr⁡(ρEa),a∈Ω.

Here tr⁡ is the finite-dimensional endomorphism trace (The basis-independent trace of an endomorphism of a finite-dimensional vector space).

The positivity and normalization of these weights are proved in POVM outcome weights are probabilities ↗. A POVM specifies this outcome law; it does not by itself prescribe a conditional output state.

Depends on

Used by

…and 20 more results.

Dependency tree · two levels

31 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