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Classical coherence matrices and measurement scope — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Angular-spectrum optics and controlled paraxial limits
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Causal kernels, gauge and point fields after wave existence
- Character Groups and Elementary LCA Duals
- Classical coherence matrices and measurement scope
- Cm Math Central
- Cm Math Evidence
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complex Power Series and Analytic Functions
- Complexification, Realification and Real Structures
- Connectedness
- Constant Rank, Submersions, Immersions and Regular Level Sets
- 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
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Em Elementary Mathematical Prerequisites
- Em Expanded Analysis Prerequisites
- Energy momentum angular balance
- Equivalent Forms of Completeness
- Euclidean Surface Measure, Divergence, and Green Identities
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Finite Probability Spaces and Random Variables
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Solutions Newtonian Potentials and Green Functions
- Fundamental Trigonometric Identities
- Further Trigonometric Identities and Inverse Functions
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Algebra Methods in Combinatorics
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Lorentz Transformations
- Manifolds with Boundary Collars and Orientations
- Material response and stationary interfaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Maximum Principles Harnack and Liouville in Rn
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Minkowski Theory and Number Field Class Groups
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- 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
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partial Differential Equations and Characteristics
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Pointwise Extended-Real Function Products
- Poisson Problems and Interior Harmonic Estimates
- Poisson Summation Sampling and Lattice Duality
- Polynomial Rings, the Division Algorithm and Roots
- Potentials and gauge
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- Primitives and postulates
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- Product Measures and the Fubini Tonelli Theorems
- Projective Algebraic Sets Projective Morphisms and Cones
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Rank Theorems and Embedded Submanifolds
- Rees Modules Artin Rees and Hilbert Samuel Theory
- Regular Surfaces and Surface Integrals
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- 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
- Smooth Approximation and Sobolev Extension
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Spacetime Primitives
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- Tensor Products of Modules
- The Ascoli–Arzelà Theorem
- 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 Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Group of the Circle
- The Fundamental Theorems of Calculus
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Real Gamma and Beta Functions
- 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
- Transverse fields, helicity and angular momentum
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Uniform Spaces: the Three Definitions
- Vacuum waves and polarization
- Vector PEC scattering, dipole limits and controlled scalar diffraction
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Wave Equation Representation Formulas
- Weak Derivatives and Sobolev Spaces
- Whitney Embedding Tubular Neighbourhoods and Approximation
- Worldlines And Clocks
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Mixed classical polarization ensembles
A finite, ideal classical ensemble of two transverse electric phasors at a fixed paraxial detector point. The example distinguishes a vanishing ensemble polarization vector from nonzero field amplitude in every realization. It is a constructed model example, not a reported preparation, measurement, or observation and not a quantum density-operator interpretation.
Example
At one fixed detector point, let a nonzero complex electric amplitude , with units V m, occur with equal probability in the two realizations and . Then , , and , so the ensemble is unpolarized by the two-component definition even though each realization is a definite nonzero classical field amplitude.
Example references
Facts & Assumptions
Given: The two-point probability space with probability at each point, and in V m.
Classical two-component coherency matrix: and the Stokes coordinates are the trace, diagonal difference, twice the real off-diagonal part, and minus twice its imaginary part.
Stokes cone and deterministic Jones transformations: a positive-intensity state with has degree of polarization zero; the theorem's algebra is conditional on this classical second-moment model.
Linearity, monotonicity, and the modulus bound for expectation: finite expectations distribute over the two outcomes with their stated probabilities.
The ensemble consists exactly of the two stated realizations with probability each; no physical preparation or observation is claimed.
Verification
The two realization matrices are and . Averaging them with the probabilities in [A1] gives .
Substituting this matrix into [F1] gives and , hence ; each of the two sample values remains a specified nonzero classical amplitude because .
Remarks
The example is a finite mathematical ensemble, not a simulated or measured dataset. It does not assert that the realizations occur with equal empirical frequency in any laboratory.
Normalized polarization is undefined at darkness
A zero-amplitude classical ensemble in the two-component coherency-matrix model. It demonstrates a boundary of a normalization definition; it is not a reported dark-detector observation, a noise model, or an empirical claim.
Statement refuted
For every square-integrable two-component classical ensemble, the quotient defines a real degree of polarization.
Statement references
Facts & Assumptions
Given: The one-point probability space with , and the square-integrable two-component complex amplitude .
Classical two-component coherency matrix: , , and the normalized degree is defined only when .
on the declared one-point probability space.
Counterexample
From [A1], at the sole sample point, so [F1] gives and .
The proposed quotient therefore has denominator and is undefined; the universal statement is false, even though the unnormalized cone inequality holds as .
Remarks
This is a domain-of-definition counterexample. It makes no claim about a real detector's dark counts, background, resolution, or uncertainty.
5 · Examples, experiments and counterexamples
None yet.