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Wavepacket photodetection and normally ordered correlations — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- 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
- 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
- Charged gauge data and SI-natural conventions
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- 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
- 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
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- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
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- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
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- Diagonalisation and the Minimal Polynomial
- Dirac Clifford matrices and energy projections
- Distributions Test Functions and Differentiation
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- 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
- Em Elementary Mathematical Prerequisites
- Em Minkowski Mathematical Prerequisites
- Euclidean Surface Measure, Divergence, and Green Identities
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite bounded instruments normalize measurement probabilities
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Forces and Continuum
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- Sequences and Limits
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- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
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- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Wave Equation Representation Formulas
- Wavepacket photodetection and normally ordered correlations
- Weak Derivatives and Sobolev Spaces
- Worldlines And Clocks
2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
One-photon wavepacket has zero ideal same-mode factorial correlation
One exactly prepared photon in one normalized transverse mode, counted by the ideal number-resolving model with optional independent fixed-efficiency loss. It asserts no zero coincidence probability for arbitrary multimode detectors or apparatus with background.
Example
Assume the ideal mode-counting and thinning models. Prepare the normalized one-photon state in the selected transverse mode, with all orthogonal modes in vacuum, and take . The ideal count law has , so its mean is and its same-mode zero-delay factorial correlation is . After independent loss, the registered count is Bernoulli with and , with mean and . This example is conditional on the one-mode and no-background assumptions and does not assert zero coincidence probability for arbitrary multimode detectors.
Example references
Facts & Assumptions
Given: The selected one-photon number state, the ideal count law, and independent fixed-efficiency recording with .
The mode state with has , , and . Ideal one-mode intensity correlations separate model states
Conditional on , each photon is recorded independently with probability , with no background or dark counts; for one photon this gives a Bernoulli count and the normalized factorial correlation is unchanged. Ideal independent loss preserves normalized factorial correlation
Verification
Given: [F1], [F2], and the one-photon preparation and efficiency in the Example.
The statement of [F1] at gives and , so the postulate's denominator is positive and .
By [F2], conditional on the certain incoming count , the only possible registered counts are and , with probabilities and . Thus and , giving ; this conclusion concerns the selected ideal mode and the stated apparatus assumptions only.