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.
Prepared control and expectation convention
An idealized finite-dimensional subsystem with a prescribed continuous bounded control on a finite time interval and a fixed prepared initial state; no apparatus calibration, measured response, re-preparation during control, or universal response law is asserted.
Postulate
On a finite-dimensional subsystem with unperturbed in J, bounded self-adjoint control observable , in J s, and finite interval with in s, adopt the idealized controlled Hamiltonian where is continuous, is dimensionless, and has unit J. The initial prepared state is held fixed at as the Gibbs matrix , in J; the model does not re-prepare a Gibbs state for . Expectations use the adopted normal-state Born convention of Normal-state quantum measurement interpretation. The full Axiom of Choice convention, stated in The Axiom of Choice, of that wider measurement framework is retained. This is an adopted control model; it makes no claim about a particular device or data.
For the controlled propagator satisfying and , define and for bounded self-adjoint matrices . Existence and uniqueness of this finite-dimensional propagator are supplied by Finite-time Kubo formula with norm remainder.
The finite-time response theorem Finite-time Kubo formula with norm remainder supplies the exact mathematical response interface used to formulate this postulate. It does not establish the physical applicability of the control model.