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.
Type checks: rays, density operators, mixtures, local quantities and outcome laws
Worked type checks on the smallest nontrivial instances of the framework's state and observable assumptions: a pure spin-one-half preparation as a unit ray and as a rank-one density operator, a statistical mixture of two orthogonal pure preparations, the action of a local observable on a product state of two spin factors, and the outcome law of a finite-spectrum observable as a probability measure. The item verifies the mathematical types of the adopted objects and makes no empirical claim.
Example
Check the mathematical types of the objects introduced by the postulates of this page on explicit finite-dimensional data: the two-dimensional complex Hilbert space with its standard inner product and the orthonormal basis , the spin operators of Finite spin matrices for , and the composite with the product vectors and local operators of Bounded tensor maps: extension, norm estimate, adjoint and commutation.
Facts & Assumptions
Given: The state postulate State and composition postulate P1: Hilbert spaces, preparations and composite systems, the observable and probability postulate Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes, the spin assignment of Identical-particle and spin assignments P6: permutation sectors and finite-spin representations, the Hilbert space with orthonormal basis and the operators with of Finite spin matrices, and the number conventions of Dimensions, SI unit conventions and quantity types of the framework.
Density operators and their scalar laws: a density operator is a self-adjoint positive trace-class operator with trace one; finite orthonormal expansions with , are density operators, and for a projection-valued measure the assignment is a probability measure reducing to for the pure operator with (Density operators and scalar spectral probability clauses (a) and (b)).
Rank-one calculus: is trace class with , so is a rank-one positive operator with trace (Density operators and scalar spectral probability, Rank-one operator calculus).
Bounded tensor maps act on product vectors by , and ; hence tensoring the self-adjoint with gives a bounded self-adjoint operator (Bounded tensor maps: extension, norm estimate, adjoint and commutation clauses (a), (c)).
The spectral family of is and , the orthogonal projections onto the lines and , and (Finite spin matrices clauses (a) and (e), Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes clause (ii)).
Verification
Let , so by orthonormality. The pure preparation is the unit ray : the vector has the same norm and defines the same ray, and the associated density operator satisfies by [L2]; hence it is a density operator in the sense of [L1].
Let and let be orthonormal vectors of , and put . By [L1] is a density operator with ; orthogonality gives and . Both eigenvalues are positive, so the range of contains the two linearly independent vectors ; hence has rank at least two and is not a rank-one operator for any . The mixture of two orthogonal pure preparations is therefore a preparation of a different type from either component.
On the composite consider the product state and the local observable . By [L3] and the self-adjointness of in [L4], this tensor operator is self-adjoint, and . On the product basis of , the spectral projection for is , so the local outcome probability for is .
For the state the outcome law of is . By [L4] the projections are onto the lines , so and . Thus the law is on the two-point set and is not concentrated at a single outcome; its finite mean is .
Combining steps 1.1-1.4: rays, density operators, mixtures, local tensor actions and outcome laws of the adopted postulates all have the mathematical types claimed for them, and the displayed computations are the ones the definitions and lemmas give.
Remarks
- The checks are internal consistency checks of the adopted types: they verify that the objects named by the postulates are of the claimed mathematical kind and that the displayed computations are the ones the definitions give. They assert nothing about any laboratory preparation and record no measurement.
- The number conventions of Dimensions, SI unit conventions and quantity types of the framework enter only through the reading of the outcomes as angular-momentum values and through the dimensionless character of the weights , and of the ray parameter .
Depends on
Dimensions, SI unit conventions and quantity types of the framework
State and composition postulate P1: Hilbert spaces, preparations and composite systems
Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes
Identical-particle and spin assignments P6: permutation sectors and finite-spin representations
Density operators and scalar spectral probability
Rank-one operator calculus
Bounded tensor maps: extension, norm estimate, adjoint and commutation
Finite spin matrices
A Hilbert space with a dense sequence has a finite or countable orthonormal basis
Dependency tree · 2 levels
Sources
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 2 'Spin One-Half, Bras, Kets, and Operators', Sections 1-3, printed pages 1-16 (PDF pages 2-17): Stern-Gerlach preparations, spin one-half states, and Pauli-matrix algebra
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 3.1, printed pages 92-95 (PDF files pages 104-107): probabilities from a projection-valued measure and interference of amplitudes