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Finite-mode light–matter models and detection statistics — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- 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
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Character Groups and Elementary LCA Duals
- Cm Math Geometry
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- 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
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- 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
- Covering Spaces and Lifting
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Exponentiated Weyl Relations and Regular Representations
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite completely positive trace-preserving maps
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Finite reduced dynamics, memory and quantum trajectories
- Finite-mode Fock, Gaussian and Bogoliubov foundations
- Finite-mode light–matter models and detection statistics
- Foundations of the Real Numbers for Analysis
- Fourier Multipliers and Sobolev Characterisations
- 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 Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Gelfand Theory and Commutative C Star Algebras
- 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
- Haar Measure Existence and Uniqueness
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Homotopy and Homotopy Equivalence
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Induced Unitary Representations of Locally Compact Groups
- Infinite Product Measures and Kolmogorov Extension
- 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 Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Mackeys Imprimitivity Theorem
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measurable Hilbert Fields and Direct-Integral Operators
- Measures and Their Basic Properties
- Metric Spaces
- Metrization: Urysohn, Nagata–Smirnov, Bing, Smirnov
- 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 density states and spectral moments
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Ordinals, Cardinals, and Transfinite Recursion
- Orthonormal Bases, Parseval and Fourier Series
- 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
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Autonomous Dynamics
- Qm Framework And Quantities
- Qm Math Composites
- Qm Math Fock And Equilibrium
- Qm Math Magnetic And Detection
- Qm Math Orbital And Spin
- Qm Math Oscillator
- Qm Measurement And Instruments
- Qm Observables And Born Probabilities
- Qm State Geometry
- Radon Measures and the Riesz Markov Kakutani Theorem
- Registers, Tensor Products, and Partial Trace
- Regular Weyl systems, projective symmetry and massive particles
- 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
- Semidirect Products, Automorphism Groups and Split Extensions
- 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 Partitions of Unity and Exhaustions
- Spectral Measures and Borel Functional Calculus
- Splitting Fields
- Square-Integrable Kernels and Hilbert–Schmidt Compactness
- Standard-Borel Real Codings and Determining Classes
- Stone–Weierstrass in General
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symplectic Manifolds, Moser Stability, and Darboux–Weinstein Theory
- Tempered Distributions and the Fourier Transform
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Ascoli–Arzelà Theorem
- The Baire Principles of Functional Analysis
- The Branching Rule and the Young Graph
- 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 Exponential Function
- The Fundamental Group
- The Fundamental Group of the Circle
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- The Inverse and Implicit Function Theorems
- 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 Modular Function and L1 Group Algebras
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The Tychonoff Embedding and the Stone–Čech Compactification
- 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
- Uniform Spaces: the Three Definitions
- Unitary Representations, Positive Type and GNS
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
- Weak Derivatives and Sobolev Spaces
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Vacuum Rabi oscillation
A conditional single-excitation calculation in the ideal closed Jaynes–Cummings two-level, one-mode rotating-wave model. It predicts periodic excitation transfer and revival within that model, not irreversible decay or continuum spontaneous emission. No measured oscillation or apparatus record is asserted.
Example
In the resonant Jaynes–Cummings model (), prepare the atom and field in and let the ideal model evolve for time . The assigned excited-state PVM then gives excitation probability . If , the population returns to one at , ; if , it remains one. This is a periodic model prediction, not irreversible spontaneous decay or a reported observation.
Example references
Facts & Assumptions
Given: Resonance , real , , time , initial state , and the closed Jaynes–Cummings model.
The adopted single-mode, two-level rotating-wave model and its AC/CC assumptions are those of Jaynes–Cummings invariant blocks and Rabi frequency; no continuum bath or experiment is included.
Assume AC and as mathematical premises carried by the model and Fock-domain suppliers. Adopt the isolated autonomous dynamics postulate P4 for the self-adjoint Hamiltonian supplied by the Jaynes–Cummings theorem; this is a model assumption, not an empirical claim (The Axiom of Choice, The Axiom of Countable Choice (), Autonomous dynamics postulate P4: self-adjoint generators and unitary evolution, Assigned energy observable, unitary flow and the two pictures of autonomous evolution).
On resonance, the invariant block has matrix in that ordered orthonormal basis, where (Jaynes–Cummings invariant blocks and Rabi frequency).
For the self-adjoint assigned energy , P4 defines the model evolution on all states by through its spectral calculus (Autonomous dynamics postulate P4: self-adjoint generators and unitary evolution, Assigned energy observable, unitary flow and the two pictures of autonomous evolution).
For the excited-state projection , the assigned probability of its outcome in a unit state is (Declared ideal measurements and instruments of the framework).
Proof
Define and . The block matrix in [F1] gives and . Thus these orthonormal vectors are global eigenvectors of the self-adjoint Hamiltonian, including when .
Since , P4 [F2] evolves it to by applying the spectral exponential to the two eigenvectors from step 1.1.
The vectors and are orthogonal, so the squared norm of the excited projection of the state in step 2.1 is . The PVM rule [F3] makes this the assigned excited-state probability. If , it returns to one at for ; if , it stays one for every . This periodicity is a model deduction, not irreversible decay or an experimental observation.
Ideal single-mode factorial moment
An ideal one-quantum Fock-state calculation of a single-mode normal-ordered factorial statistic and its passive beam-splitter count distribution. This is a conditional finite-mode model prediction, not a detector observation or experimental antibunching dataset.
Example
For the one-mode number state and the ideal number-count model, the mean number is while the normally ordered second factorial moment is , so the assigned statistic is zero. If the input is mixed with vacuum at the declared passive beam splitter, its output has exactly one total count, split between the two ports with probabilities and . These are model predictions only; no detector realization or experimental antibunching record is asserted.
Example references
Facts & Assumptions
Given: The number state , the ideal single-mode count PVM, the vacuum state in the unused port, a passive two-mode unitary with , and the assigned finite-mode model.
The finite-mode postulate supplies an ideal number-count PVM but makes no claim about a laboratory detector or a measured count record (Finite-mode dipole and detector assignment).
Assume AC and as mathematical prerequisites of the finite-mode passive implementer and Fock suppliers; these are set-theoretic assumptions, not physical postulates (The Axiom of Choice, The Axiom of Countable Choice ()).
For the declared number distribution, when the denominator is finite and positive (Ideal single-mode normally ordered second factorial statistic).
The ladder actions give , , , and are orthonormal (Fixed-mode number law).
A one-quantum input and vacuum at the second port have joint output state and ideal count probabilities , (Passive beam-splitter photon statistics).
Ideal number-count effects are PVM projections with probabilities given by the Born rule; they do not imply a physical device or recorded data (Declared ideal measurements and instruments of the framework).
Proof
Since and by [F2], and . Thus the denominator mean number is one and the numerator is zero.
Substituting these moments into the definition [F1] gives for this model state. This is a conditional number-statistic calculation, not an observation.
With one input quantum and vacuum in the other port, the beam-splitter theorem [F3] gives output . The PVM events and are orthogonal and have probabilities and by [F4]; the joint event with a count in each port has probability zero. The total output count is exactly one in this assigned model [A1].