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Wavepacket photodetection and normally ordered correlations
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
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2 · Summary
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
One-mode photon number operator and count PVM
Statement
Assume the Axiom of Countable Choice. Let be a complex Hilbert space with the second-variable-linear pairing used for bosonic Fock space, and let satisfy . Put . Let be the one-mode Fock unitary, and for let , with . On define , and on put For every Borel set , define the strong sum Define the mode number operator Then are mutually orthogonal projections with strong sum , is a projection-valued measure supported on , and is self-adjoint with these spectral projections. Define on Then is self-adjoint, and is a graph core for it. On the finite-particle subspace, Thus the finite-particle restriction of is essentially self-adjoint with closure .
Statement references
Facts & Assumptions
Given: Countable Choice, the bosonic Fock space over , a unit vector , and its closed orthogonal complement .
Assume Countable Choice, written . The Axiom of Countable Choice ()
The bosonic Fock space is the square-summable direct sum of its symmetric particle sectors; its finite-particle subspace is , and the creation and annihilation maps are defined on those sectors. Schwartz/distribution spaces and Hilbert Fock conventions
The one-mode splitting is a unitary ; under it, creation and annihilation by act on the first factor by and on finite-particle vectors. One-mode factorization of symmetric Fock space
On , the bosonic CCR include , and the finite-particle subspace is invariant under these creation and annihilation maps. Bosonic and fermionic Fock operators with exact domains
A PVM is a countably strongly additive map from a sigma-algebra to orthogonal projections, with empty-set value zero, full-space value the identity, and . Projection valued measure
A densely defined operator is self-adjoint when it equals its adjoint, including equality of domains and values; its operator domain is part of the data. Unbounded linear operators: domain, graph and extension Symmetric, self-adjoint and essentially self-adjoint operators
Proof
Under the unitary of [F2], the one-dimensional th sector of is spanned by the unit vector . Therefore are mutually orthogonal projections and their strong sum is the identity on . Tensoring with the identity on and conjugating by shows that each is an orthogonal projection, for , and in norm for every .
Under , write with , and put . The composition acts diagonally by and has exactly the stated domain: implies because for and the block contributions are finite, and it gives ; conversely, membership in the composition domain gives this sum. This domain contains , dense by truncation of the square-summable Fock sum in [F1], and the operator is symmetric because each is real. If and , testing the adjoint identity on vectors supported in one th block forces ; square summability gives . Conversely, for , Cauchy–Schwarz on the block sum gives the adjoint identity with value . Hence and is self-adjoint, therefore closed, by [F5].
For Borel , the orthogonal sum defining converges strongly because . It is an orthogonal projection, , , and orthogonality gives . For pairwise disjoint Borel sets , their intersections with partition , so the corresponding orthogonal series gives in norm. Thus is a PVM supported on , and .
Under , is the diagonal operator with domain . It is symmetric because every diagonal coefficient is real. If lies in its adjoint domain with adjoint value , testing the adjoint identity on vectors supported in a single sector forces for every . Since is square-summable, , so . Conversely, for , Cauchy–Schwarz on the sector sum gives the adjoint identity with value . Hence and , and its projections are the constructed .
By [F2], on a one-mode occupation vector one has and ; thus on finite-particle vectors, including the sector. On the same invariant subspace, [F3] gives . Consequently on , by substitution of the CCR and cancellation of the two terms.
Truncate any to ; its squared graph-norm tail is . For fixed , write each under as and approximate each of the finitely many by finite-particle vectors in , which are dense by [F1]. The one-mode unitary preserves norm and the finitely many multipliers are bounded, so these approximations converge in graph norm and their images have finite total particle number. Thus is a graph core for ; its restriction is by step 3.1, and its closure is because is closed by step 2.1.
Ideal wavepacket number counting
An ideal countably number-resolving detector for one normalized transverse wavepacket mode in the selected positive free-photon Fock model, with unit efficiency, no mode mismatch, no background and no dark counts. It supplies no finite-time response, point-field product, interacting QED model, or empirical outcome.
Postulate
Assume Countable Choice and use the positive transverse free-photon model whose one-particle space is with its transverse condition and whose state space is the bosonic Fock space . In the unit convention where has unit , let be a normalized transverse wavepacket for the invariant measure , so that has unit metre and . Let , where ; then , has unit , and . In the Fock factorization , is the orthogonal projection onto mode occupation tensored with the identity on the orthogonal-mode Fock factor. These projections are mutually orthogonal and have strong sum ; their count PVM is , and on the domain . A density operator means a positive self-adjoint trace-class operator with , using the trace pairing obtained from the Fock space's second-variable-linear convention by conjugation. For , put . The mathematical density/PVM result makes a countably additive probability law under the stated Countable Choice hypothesis.
Adopt as the ideal detector postulate that this law is the model probability for recording exactly photons in the selected mode. The detector is number resolving, has unit mode efficiency, and has no mode mismatch, background counts or dark counts. This is an additional physical measurement assumption; it is not deduced from the CCR or from the free-field equations.
When and , define the first number moment and normally ordered second factorial moment by The PVM sums define the unbounded-state moments. In this ideal mode model, define the normally ordered second-mode correlation to be the spectral factorial expectation . The self-adjoint closure of the finite-particle operator is by One-mode photon number operator and count PVM, so this definition agrees with the normally ordered operator on its finite-particle core and uses the spectral expectation for states outside that core. It does not assert a trace product of with an unbounded operator. If , define the dimensionless same-mode zero-delay statistic Here is the conventional zero-delay label for this same-mode statistic; no temporal detector response or pointwise product of electric-field distributions is defined.
Postulate references
Positive transverse free photon model
Quantum field quantities and compatible SI normalizations
Positive transverse photon one-particle space
Transverse one-photon space and helicity projectors
The mass-shell weighted transverse space matches the Lebesgue transverse space
One-mode photon number operator and count PVM
Remarks
The density/PVM supplier is used only for its density decomposition and scalar probability clauses, which require Countable Choice; its separate unbounded-moment clause requires the Axiom of Choice and is not used. The new physical postulate supplies the detector reading of this countable PVM. It does not claim that the more general finite-instrument measurement postulate or an experimental measurement has derived this detector model.
Ideal one-mode intensity correlations separate model states
Exact model predictions for coherent-mode, fixed-number and geometric one-mode preparations under ideal wavepacket number counting. The geometric distribution is the specified single-mode thermal occupation law; no universal classification of radiation or empirical outcome is asserted.
Statement
Assume the ideal wavepacket counting postulate for a normalized mode , and let be the resulting count law of a prepared state. Write when and . Let be the one-mode Fock unitary, let with , and let be the vacuum in . Put . For a unit vector , denotes the postulate's value for the pure density operator . For put , , and define the coherent-mode vector For , the number preparation is . For , the geometric one-mode state is Then the ideal model predictions are The final state has the specified single-mode geometric occupation law; these conclusions do not classify all radiation as coherent, number, or thermal.
Statement references
Ideal wavepacket number counting
One-mode photon number operator and count PVM
Density operators and scalar spectral probability
The factorial and the falling factorial , defined by recursion in
The real exponential function and the number by a power series
For , , and for the series diverges
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Facts & Assumptions
Given: The ideal count law of the postulate, a normalized selected mode , and the stated finite-moment hypotheses.
The ideal wavepacket postulate assigns , defines , and identifies with the spectral sum for the normally ordered factorial correlation. Ideal wavepacket number counting
The one-mode number projections are , the unit occupation vector has , and on the finite-particle core. One-mode photon number operator and count PVM
For real , ; for this positive series is finite and at least . The real exponential function and the number by a power series
Factorials satisfy for and for . The factorial and the falling factorial , defined by recursion in
Nonnegative sums on countable product sets may be regrouped by Tonelli's theorem. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
A unit vector defines a pure density operator, and a countable weighted sum of orthogonal rank-one states with nonnegative weights summing to one is a density operator; its PVM probabilities are the corresponding count law. We use only the supplier's density and scalar-probability clauses, which require Countable Choice. Density operators and scalar spectral probability
Proof
The coefficients of are square-summable because their squared norms sum to by [F2]; the orthogonal one-mode sectors therefore make a unit vector and [F6] makes its rank-one state a density operator. Its count probabilities are by [A1] and [F1]. Shifting indices in the nonnegative exponential series gives so . The same calculation shows both required moments are finite.
For , [F1] gives , hence and . Since , the denominator is positive, and substitution into [A1] gives .
The weights are nonnegative and sum to one by [F4], so [F6] makes a density operator and [A1] gives the geometric count law . By Tonelli [F5], Therefore . Applying Tonelli to the triple product and counting the with gives because that finite set has elements. Hence . Multiplying by gives and , so [A1] yields .
Ideal independent loss preserves normalized factorial correlation
A selected mode with a finite positive ideal mean is sent through an explicitly assumed independent, constant-efficiency counting channel with no background or dark counts. The theorem does not model detector dead time, mode dependence, correlated loss, or actual measured data.
Statement
Assume the ideal wavepacket-counting postulate for a selected mode with , and let be the incoming density operator on (a positive self-adjoint trace-class operator with trace one). By that postulate, are the mode-count projections and are the count probabilities, so and . Define the incoming mean and second factorial moment by and assume and . Define ; for this input state , the postulate denotes the same statistic by .
Let be a dimensionless fixed efficiency and assume no background or dark counts. To specify independent recording, put , , and This is countable under the explicit encoding . Give the space the point masses where the empty product for is . For each fixed , the product factors define the conditional product law on ; hence its coordinates are independent Bernoulli variables with success probability . Since , these point masses sum to one and define a probability measure on . Define and . For every nonnegative random variable on this space, use the expectation The marginal law of is , and the conditional count law of given is the binomial law induced by . If , define . Then Consequently the normalized zero-delay factorial correlation is unchanged: This is a model deduction conditional on independent constant-efficiency thinning; it is not a universal property of real detectors.
Statement references
Facts & Assumptions
Given: The count distribution of the ideal mode model, its finite moments and , a fixed efficiency , and conditionally independent Bernoulli recording of each incoming photon.
The conditional law on the th fiber of is , with and . For , the coordinate map is therefore Bernoulli with success probability , and the coordinate maps are mutually independent under . The joint mass is . This is the explicitly assumed thinning channel, not an empirical detector law.
For this incoming law, the ideal mode theorem uses the wavepacket postulate's input statistic when and . Thus the Statement's is exactly that postulate value for . Ideal one-mode intensity correlations separate model states
Nonnegative countable sums may be averaged and regrouped by Tonelli's theorem. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Proof
Fix and average on its finite fiber using . For each , factorization gives , and for distinct it gives . Since and for zero-one coordinates, it follows that and . For or the relevant sums are empty and the same formulas hold.
Using the Statement's encoding, identify with a subset of . For either or , extend by zero outside that subset. Counting measure on is sigma-finite, so [F2] applied to the product of the two counting-measure spaces permits the nonnegative sum to be regrouped over the finite fibers. Using step 1.1 gives and . Both are finite by hypothesis. Since , division gives by [F1].
5 · Examples, experiments and counterexamples
None yet.