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.
State-dependent spectral distribution
Definition
Let be a Hermitian endomorphism of a finite-dimensional complex inner-product space, with distinct eigenvalues and orthogonal spectral projections . Let be a unit vector representing a pure state. Its state-dependent spectral distribution is the finite measure on defined by The support is restricted to eigenvalues with nonzero weight; degeneracies are represented by one atom per distinct eigenvalue, not one atom per chosen eigenvector. The formula is the definition; its nonnegativity, total mass one, and functional-calculus moment identity are established in QPE output law and conditional state for a spectral input ↗.
Depends on
- The spectral functional calculus f(T) for a normal endomorphism
- For normal endomorphisms, the spectral functional calculus respects sums, products, adjoints, and composition of scalar functions
- Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely
- A normal endomorphism is a sum of its eigenvalues times pairwise orthogonal projections, and each spectral projection is a polynomial in the endomorphism
- Pure state and ray
- Dirac Notation Conversion
Used by
Dependency tree · two levels
22 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
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, §4.3 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, version 6, §4.6 (standard reference, not scraped)