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-dimensional quantum relative entropy

Definition

Let H be a finite-dimensional complex inner-product space and let A,B:H→H be non-negative operators. For such an operator A, set supp⁡(A):=(ker⁡A)⊥, where ker⁡A is the kernel of a linear map (Kernel and image of a linear map); this extends the density-operator support convention in Density operator. If supp⁡(A)⊆supp⁡(B), define

D(A∥B):=tr⁡(Aln⁡A)−tr⁡(Aln⁡B).

Here ln⁡A is defined spectrally on the positive eigenspaces of A with 0ln⁡0:=0, and ln⁡B in the cross term is restricted to supp⁡(B); the support condition ensures that A vanishes on ker⁡B, so the omitted kernel contributes zero. If supp⁡(A)⊈supp⁡(B), set D(A∥B):=+∞. In particular, D(0∥B)=0. For density operators this is the finite-dimensional quantum relative entropy. The logarithms are natural, so the value is in nats; the base-two value is D2(A∥B):=D(A∥B)/ln⁡2.

Depends on

Used by

Dependency tree · two levels

23 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