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.
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- 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.
Scattering channels, stationary resolvents and time delay — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Norms and Realification
- Complex Power Series and Analytic Functions
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Lebesgue-Stieltjes Measures and Distribution Functions
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Scattering channels, stationary resolvents and time delay
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Spectral Measures and Borel Functional Calculus
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Elastic phase derivative
Example
Let be an open energy interval and let be . The one-channel unitary matrix has Wigner–Smith matrix , which is real and has units of seconds when is measured in joules and in joule-seconds. This algebraic quantity is not, without further model assumptions, an operational arrival-time measurement.
Example references
Facts & Assumptions
Given: , , , and .
For a unitary channel matrix, (Wigner–Smith matrix for differentiable finite channels).
Verification
Given: [F1] and the interval, differentiable phase, unitary matrix, and in the Example.
Since is real, ; thus this is a one-channel unitary matrix on all of . Differentiation gives .
Substitution into [F1] gives , which is real. Since is dimensionless and has units , has units . No pointwise value of is interpreted as a measured time.
Cook existence is not completeness
Statement refuted
Every isometric wave operator has range equal to the full absolutely continuous subspace of the interacting Hamiltonian.
Statement references
Wave, scattering and channel operators
The Borel sigma-algebra of a topological space
Lebesgue measurable sets, the family , and the restricted set function
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included
Both and are dense in , and every nonempty open subset of is uncountable
If is sigma-finite and is countably generated, then is separable for
Facts & Assumptions
Given: , is the Borel sigma-algebra and for every Borel , is linear in its first variable, on , , on , and . Use and .
Assume the Axiom of Choice (The Axiom of Choice).
Assume Countable Choice (The Axiom of Countable Choice ()).
Completeness means , not merely that is an isometry (Wave, scattering and channel operators).
Self-adjointness means equality with the adjoint, including its domain (Symmetric, self-adjoint and essentially self-adjoint operators).
The spectral PVM of is ; its scalar measures are . On the direct sum, is a PVM whose spectral integral is , so uniqueness in the spectral theorem identifies it as the PVM of (Spectral theorem for unbounded self-adjoint operators (PVM form), Unbounded Borel functional calculus: domains, products, spectral mapping, Projection valued measure, Integral of a measurable function against a projection-valued measure).
For self-adjoint , is a strongly continuous unitary group with generator (A self-adjoint operator generates a strongly continuous unitary group).
The wave-operator definition inserts in its approximants and defines completeness by equality with the interacting absolutely continuous subspace (Wave, scattering and channel operators).
The Borel sigma-algebra of is generated by the countable basis of open intervals with rational endpoints intersected with ; the rationals are countable and dense (The Borel sigma-algebra of a topological space, is countably infinite, Both and are dense in , and every nonempty open subset of is uncountable).
The Borel Lebesgue measure of is finite, with (Lebesgue measurable sets, the family , and the restricted set function , A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
A sigma-finite measure on a countably generated sigma-algebra has separable under Countable Choice (If is sigma-finite and is countably generated, then is separable for ).
Counterexample
Given: [A1], [A2], [F6]–[F8], the Hilbert spaces, operators, identification , and unitary groups specified above.
By [F6], the Borel sigma-algebra on is countably generated, and by [F7] its measure is finite, hence sigma-finite. [F8] gives separability of ; a direct sum of two separable spaces is separable because pairs from the product of countable dense subsets are countable and dense, so is separable. Since , , and for every . Thus every belongs to , with , proving self-adjointness by [F2]. The same componentwise pairing on the full domain proves . Its PVM is the multiplication family in [F3], so bounded Borel functional calculus gives and , consistently with [F4].
By [F3], every scalar spectral measure of is absolutely continuous, so . Thus the projection in [F5] drops out. Using , the two-space wave-operator approximants are exactly for every and every real . Since and both generators are bounded, direct differentiation gives . Thus the approximants are constant and both strong limits exist with . Their norm equals , so they are isometries.
By [F3], every vector has scalar spectral measure , which is absolutely continuous with respect to Lebesgue measure. Therefore .
The wave-operator range is , which is a proper subspace of because the constant function has norm one, so is a nonzero vector outside the range. Hence the wave operators are isometric but not complete, refuting the statement.