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.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- 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.
Schwartz/distribution spaces and Hilbert Fock conventions
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- 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
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- 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
- 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
- Finite Probability and the Probabilistic Method
- 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
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- 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
- 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
- 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
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Composites
- Qm Math Oscillator
- 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
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Spectral Measures and Borel Functional Calculus
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tempered Distributions and the Fourier Transform
- Tensor Products of Modules
- The Analytic Hahn Banach 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 Exponential Function
- 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 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
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page fixes Schwartz tests, compactly supported smooth tests and tempered distributions, then the second-variable-linear Hilbert pairing and symmetric or antisymmetric Fock sectors. Creation and annihilation are defined sector by sector, and the local results distinguish their maximal domains from the dense finite-particle domain. The bosonic CCR hold on that common invariant domain; the fermionic CAR hold for bounded operators on the full antisymmetric Fock space.
Three intermediate results supply the product-L2 tensor identification, the Hermite graph core for position multiplication and the one-mode Fock factorization. They support the Segal field closure and the exact second-quantized multiplier domains. The Segal convention is , with Weyl phase and vacuum Gaussian . All choice assumptions are stated in the individual items as Countable Choice.
The arguments use the declared tensor, Fourier, Hermite and operator-domain suppliers. Dereziński, Tong, Teschl and Dyatlov are cited for source context in the items and coverage record. The completed author records PDF fetch-stamp limitations caused by unavailable mutool; documented local arguments and source-resolution records do not constitute fetched-PDF verification or independent acceptance. The content remains draft mathematical construction, with no physical statistics assignment, point-field measurement or empirical claim.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Schwartz/distribution spaces and Hilbert Fock conventions
Definition
For an integer , let be the complex Schwartz space with seminorms for all multi-indices ; this is exactly Schwartz space and its seminorms. Let with the support convention of Test function space d of an open set and the locally convex LF topology of Test function topology. The tempered-distribution space is the space of continuous complex-linear functionals on this topological , paired bilinearly with test functions, as in Tempered distribution.
For every complex Hilbert space , use the second-variable-linear pairing , where is the first-variable-linear Hilbert pairing of Real and complex inner-product spaces and their induced length. Thus is linear in and conjugate-linear in . For each tensor product, use the same norm completion as Hilbert tensor construction: inner product, completion and product bases, but equip it with the second-variable-linear pairing obtained by conjugating that supplier's first-variable-linear pairing. This leaves the norm and completion unchanged; on elementary tensors it gives the product of the second-variable pairings. Let be the iterated Hilbert tensor completion, with ; the tensor inner product is the product of the factor pairings. Identify parenthesizations by the isometry fixing elementary tensors: the product pairing is the same on their dense span, so the map and its inverse extend to the completions. For , let and , using the permutation action and the orthogonal projections of Permutation sector projections on the n-fold tensor power. Define and , with . These are the symmetric and antisymmetric -particle sectors.
The bosonic and fermionic Fock Hilbert spaces are the square-summable direct sums and , with the componentwise inner product. Their vacuum is . The finite-particle subspace consists of sequences with only finitely many nonzero components.
For , the map , , is linear and bounded: by Cauchy–Schwarz: , with equality exactly for linearly dependent vectors. For any Hilbert space , identify with by . Every algebraic tensor is ; the tensor norm is then , so extends to a surjective isometry on the completion (with inverse ). Throughout the following formulas, means , with the identity on . The bounded tensor-map supplier therefore applies and gives norm at most . This includes , where . Contraction commutes with permutations of the remaining factors, so it takes symmetric or antisymmetric tensors to the corresponding -particle sector (and to for ).
For , bosonic creation on sector is ; for , bosonic annihilation is , where is the bounded functional above, its tensor extension is supplied by Bounded tensor maps: extension, norm estimate, adjoint and commutation, and . Define fermionic creation by ; for , fermionic annihilation is the corresponding first-factor contraction , and . The annihilation maps are conjugate-linear in ; the creation maps are linear in . These formulas define sector maps on the finite-particle subspace; their maximal closed domains and operator relations are proved in Bosonic and fermionic Fock operators with exact domains. No physical statistics assignment or spin–statistics theorem is part of these mathematical definitions.
Remarks
Foundational assumption for this construction. Assume the Axiom of Countable Choice The Axiom of Countable Choice (). The cited Hilbert tensor construction, bounded tensor-map extension, and permutation-sector projection results each state this hypothesis. Accordingly, the tensor completions, sector projections, and Fock construction above are taken in this context. This records the choice premise already listed among the dependencies; it does not assign physical statistics to a species.
Hermite functions form a graph core for position multiplication
Statement
Assume the Axiom of Countable Choice The Axiom of Countable Choice (). Let with its first-variable-linear integral pairing, and let on . Let be the Hermite functions of Hermite recurrence. Then is self-adjoint on , and the finite linear span of the is a core for : it is dense in for the graph norm .
Facts & Assumptions
Given: Countable Choice; the complex Hilbert space ; the real multiplication map on its maximal domain; and the Hermite functions from Hermite recurrence.
Assume the Axiom of Countable Choice. The Axiom of Countable Choice ()
is complete for its integral pairing and satisfies Cauchy–Schwarz. with the integral pairing is a Hilbert space
The oscillator functions have the form , where , each has degree with nonzero leading coefficient, and . Hermite recurrence
The Fourier transform uses ; under Countable Choice it is injective on . Fourier transform on complex L1 classes Uniqueness of the L1 Fourier transform
The complex exponential is given by its everywhere convergent power series, and dominated convergence applies to integrable majorants. The complex exponential by its power series The complex exponential series converges absolutely for every complex argument Dominated convergence
Polynomial multiples of a Gaussian and shifted Gaussian moments are integrable. Euclidean Gaussian transform with the 2π normalization
In a Hilbert space, a subspace with zero orthogonal complement is dense. Orthogonality and the orthogonal complement The double orthogonal complement of a subspace is its closure
Proof
For , put . Then because on its support, and in by dominated convergence applied to ; hence is dense. For , is integrable by Cauchy–Schwarz, and real-valuedness of gives .
Equip with the explicit weighted inner product . Multiplication by is an onto isometry from to , with inverse multiplication by , so is Hilbert. Its norm equals on . Suppose is orthogonal to every in this weighted inner product. Since the have successive degrees and nonzero leading coefficients [F2], their finite span is all polynomials. Therefore lies in by Cauchy–Schwarz and for every .
Let and write . For each , the vector belongs to since is bounded there and . The adjoint identity for yields . Thus almost everywhere on every , hence on ; since , and . Conversely, symmetry in step 1.1 gives and . Therefore .
Fix and let . By [F4], and . The majorant is integrable: Cauchy–Schwarz bounds its integral by , and the latter integral is finite because completing the square gives , so [F5] applies. Dominated convergence and the vanishing moments from step 1.2 imply . Since was arbitrary, vanishes identically.
Fourier uniqueness [F3] gives almost everywhere. Since and for every , this implies in . Thus the orthogonal complement of the Hermite span in is zero; [F6] makes that span dense in . Because the norm is the graph norm of , the Hermite span is a graph core, proving the statement.
Tensor products of sigma-finite L2 spaces
Statement
Assume the Axiom of Countable Choice The Axiom of Countable Choice (). Let and be sigma-finite measure spaces, let be their completed product measure, and put and with the second-variable-linear pairing fixed in Schwartz/distribution spaces and Hilbert Fock conventions. There is a unique unitary
whose value on each elementary tensor is almost everywhere. In particular, the Hilbert tensor completion is identified with the full product space, not only with the closure of a chosen class of product functions.
Facts & Assumptions
Given: Countable Choice; sigma-finite measure spaces and ; their completed product measure; and the quotient spaces with their integral pairings.
The Axiom of Countable Choice is the premise used by the completed-product measure and Hilbert tensor suppliers. The Axiom of Countable Choice ()
The product measure is sigma-finite and satisfies on measurable rectangles; its completion changes measurable sets only by subsets of product-null sets. Finite, sigma-finite, and semifinite measures The product measure of two sigma-finite measure spaces The completed product measure For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
Tonelli's theorem computes integrals of nonnegative product functions, and Fubini's theorem identifies product integrals of integrable functions with either iterated integral. Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
Cauchy–Schwarz holds in each space, so products of two functions on the same factor are integrable. with the integral pairing is a Hilbert space
Simple functions with finite-measure support are dense in . The space as the quotient by null functions Simple functions with finite-measure support are dense in for
The product sigma-algebra is generated by measurable rectangles; these rectangles form a pi-system, and a lambda-system containing a generating pi-system contains its generated sigma-algebra. The product sigma-algebra and its finite iterates Measurable rectangles in a product of measurable spaces Pi-systems Lambda-systems, or Dynkin systems Dynkin's pi-lambda theorem
The tensor inner product on elementary tensors is the product pairing and their finite linear span is dense in the Hilbert tensor completion. Hilbert tensor construction: inner product, completion and product bases
For increasing measurable sets, measure is continuous from below. Continuity from below for measures
Proof
Measurable representatives may be chosen for . Replacing a representative on a null set changes its product only on a product-null set: cover the other sigma-finite factor by countably many finite-measure sets and apply the rectangle formula [F1] on each. Thus the product rule is well defined on classes. By [F7], and are integrable; Fubini [F2] gives the product norm , so each elementary product belongs to the target space. It also gives By sesquilinearity, the rule preserves inner products on finite sums. If two tensor presentations define the same algebraic tensor, their difference has zero tensor norm by [F5], hence its product function has zero norm; the rule is well-defined on the algebraic tensor product and extends uniquely as an isometry to the completion.
Choose sigma-finite exhaustions and with finite measure, and put . By the rectangle formula [F1], , and . For fixed , let be the family of product-measurable such that belongs to the closed range of . It contains , since . If are in , then is in that closed range. If in , then by [F6], so . Thus is a lambda-system on . For every measurable rectangle , its restriction to is , whose indicator is the image of ; these restricted rectangles are a generating pi-system by [F4]. Dynkin's theorem [F4] gives for every product-measurable .
Let be any completed-product-measurable set with finite product measure. By the completion definition [F1], it differs from a product-measurable set by a subset of a product-null set, so as classes. Since , [F6] gives , so in ; step 2.1 puts each truncated indicator in the closed range of . Every finite-measure simple function for the completed measure is a finite linear combination of indicators of completed-measurable finite-measure sets; replacing each set by its product-measurable representative gives the same class. Such simple functions are dense by [F3]. Consequently the range of is dense in the full target space. Since the range of an isometry from a complete space is closed, is onto and therefore unitary. Its uniqueness follows because elementary tensors span a dense subspace.
Bosonic and fermionic Fock operators with exact domains
Statement
Assume Countable Choice The Axiom of Countable Choice () and let be a complex Hilbert space with the second-variable-linear convention of Schwartz/distribution spaces and Hilbert Fock conventions. On define the bosonic creation and annihilation maps and and the fermionic maps and as in Schwartz/distribution spaces and Hilbert Fock conventions. Write and for their restrictions to the th bosonic sector. For bosons set
Then and are Hilbert spaces, is dense, and it is a graph core for both maximal bosonic sector maps. The bosonic operators on their displayed domains are closed and mutually adjoint, and on satisfy
The fermionic and extend to bounded operators on the whole Fock space, with norms , and satisfy on the whole space
This is a mathematical construction of the two Fock representations; it does not assign particle statistics to a physical species.
Facts & Assumptions
Given: Countable Choice; a complex Hilbert space ; the symmetric and antisymmetric sectors, finite-particle domain, creation and annihilation formulas from Schwartz/distribution spaces and Hilbert Fock conventions.
The Axiom of Countable Choice is the only choice principle assumed by the Hilbert tensor suppliers used below. The Axiom of Countable Choice ()
Completed Hilbert tensor products use the product inner product, and elementary tensors have dense span. Hilbert tensor construction: inner product, completion and product bases
Permutations act unitarily on each tensor power; the averaging operators and are orthogonal projections onto the symmetric and antisymmetric sectors. Permutation sector projections on the n-fold tensor power
The sector creation, annihilation, and contraction maps are given by the formulas in Schwartz/distribution spaces and Hilbert Fock conventions: creation inserts and applies the symmetric or antisymmetric projection with the factor ; annihilation contracts the first factor with and the factor .
A bounded map induces on a completed tensor product with norm at most ; orthogonal complements use the Hilbert orthogonality convention. Bounded tensor maps: extension, norm estimate, adjoint and commutation Orthogonality and the orthogonal complement
The graph norm, closedness, core and adjoint-domain terms have the definitions in Unbounded linear operators: domain, graph and extension, Densely defined, closed and closable operators, and cores, Adjoint of a densely defined operator, and Symmetric, self-adjoint and essentially self-adjoint operators. Apply their first-variable-linear adjoint convention to . Conjugating the defining identity gives , with unchanged norm, adjoint domain and adjoint value.
Proof
Each sector or is a closed subspace of its Hilbert tensor power, being the range of the corresponding orthogonal projection [F2]. The square-summable direct sum of these sectors is complete: for a Cauchy sequence, each coordinate converges in its complete sector; finite partial sums of squared coordinate norms are bounded by the common sequence bound, so the coordinate limits are square-summable; taking coordinate limits in the Cauchy estimate over each finite set of coordinates and then the supremum proves convergence in the direct-sum norm. Truncating a square-summable sequence after sector converges in norm, so is dense.
On sector , creation and contraction have norms at most and , respectively: the contraction has norm at most on its first factor by Cauchy–Schwarz and extends to the tensor product with the same bound [F4]; each symmetrizer or antisymmetrizer has norm at most one [F2]. For and , use and self-adjointness of to compute ; the tensor product pairing gives the middle equality because . The same calculation with proves the fermionic relation.
The maximal bosonic direct-sum maps are closed. For example, if and in Fock norm, boundedness of each sector map gives coordinatewise ; since is square-summable, the defining sum for is finite and . The same coordinate argument applies to . Truncating a vector and its image after sector shows is a graph core for each. For the adjoint, testing against vectors supported in sector forces the adjoint output coordinate in sector to be ; square-summability of these coordinates is exactly the displayed domain of . Conversely, if that sum is finite, the sector pairing of step 1.2 and Cauchy–Schwarz in the direct sum give the adjoint identity for every vector in . Thus . Testing against input sector similarly forces its output coordinate to be ; square-summability and the same pairing give exactly and the converse inclusion. Hence the maximal maps are mutually adjoint.
For and a symmetric elementary tensor , contraction and creation give and , by expanding the permutation averages [F2]. In the composition , the contraction term for the newly inserted is ; each of the other contraction terms is exactly the corresponding term of . Hence their difference is . On sector zero, , , and give the same commutator directly. Symmetry of makes two creations commute; two contractions commute because contracting distinct tensor slots in either order gives the same sum. Finite elementary symmetric tensors are dense in each sector and the sector maps are bounded there, so the identities hold on all of .
For a unit vector , put . In the th antisymmetric sector, every decomposes as with the second term in , so . Tensors split orthogonally into those with no factor and those with exactly one: expand each tensor factor in ; terms with two factors vanish under antisymmetrization, and different placements of the single are orthogonal. The map is an isometry from the no- part of sector onto the one- part of sector , since the placements are orthogonal and each has coefficient in the antisymmetrizer. It vanishes on the one- part. Its adjoint reverses this isometry and vanishes on the no- part. Thus and both maps have norm one. Scaling gives and norms for ; for these statements hold because both operators vanish. Antisymmetry gives ; taking adjoints gives . Polarizing the diagonal anticommutator at and , using that is conjugate-linear and is linear, yields : if , then the sesquilinear polarization identity is , where ; substituting gives the claimed scalar. Polarizing and gives the two same-type anticommutators. All fermionic maps are bounded, so these identities hold on the whole Fock space.
One-mode factorization of symmetric Fock space
Statement
Assume Countable Choice The Axiom of Countable Choice (). Let be a complex Hilbert space, let have norm one, and put . For and , write (with ), and define
The map extends over the sector Hilbert tensor products and the orthogonal direct sums to a unitary
Under this unitary, bosonic creation and annihilation by act on the first factor as the one-mode ladder maps and , respectively, tensored with the identity on , on finite-particle vectors.
Facts & Assumptions
Given: Countable Choice; a complex Hilbert space with a unit vector ; the closed orthogonal complement ; bosonic Fock sectors and creation/annihilation maps as in Schwartz/distribution spaces and Hilbert Fock conventions.
Assume the Axiom of Countable Choice for the Hilbert tensor constructions. The Axiom of Countable Choice ()
Completed Hilbert tensor products have product inner products and dense elementary tensors. Hilbert tensor construction: inner product, completion and product bases
is an orthogonal projection onto the symmetric sector; its range is the set fixed by every permutation of tensor factors. Permutation sector projections on the n-fold tensor power
The direct sum of square-summable sector sequences is the Fock space, and creation on sector is . Schwartz/distribution spaces and Hilbert Fock conventions
The orthogonal complement is a closed linear subspace of , hence is a Hilbert space with its inherited inner product. Orthogonal complements are closed
Proof
By [F4], is a Hilbert space, so its symmetric tensor sectors and Fock space in the Statement are defined. Fix , write , and let . Expanding the permutation average and using symmetry of gives , where is the tensor with in the slots in and the factors of in the remaining slots, symmetrized there. Indeed, for each fixed placement , the permutations of the equal factors and the symmetric give the same tensor, and .
Distinct placements are orthogonal: if , some slot contains in one tensor and a vector of in the other, and . Each has norm , so step 1.1 gives . The same orthogonality shows that the images for different in a fixed sector are orthogonal. Thus the factor makes isometric and their sector ranges are orthogonal.
Algebraic elementary tensors in are dense by [F1]. Expand each factor using , distribute the finite tensor product, and apply . Every resulting term has exactly factors and factors in , so it lies in the range described in step 2.1. Since is bounded and algebraic elementary tensors are dense, their symmetrizations are dense in ; the range of the isometry is closed, hence it equals . Taking the orthogonal direct sum over proves that is onto and unitary.
On a vector with , creation by acts by . Since averages over all permutations, symmetrizing the last slots first does not change the result. This equals . The binomial identity makes this exactly . Thus creation becomes the stated one-mode raising map. Annihilation by is zero for , because every first tensor factor lies in . For , the placement formula of step 1.1 shows that contraction keeps exactly the placements with in the contracted slot. Therefore , using . Thus annihilation becomes the stated one-mode lowering map and leaves the factor unchanged.
Second-quantized multipliers, joint spectral measure and exact domains
Statement
Assume Countable Choice The Axiom of Countable Choice (). Let be a sigma-finite measure space and let be a finite-valued measurable map, where . Put with the second-variable-linear pairing of Schwartz/distribution spaces and Hilbert Fock conventions, and form the bosonic Fock space . For , identify with the symmetric subspace of by iterating Tensor products of sigma-finite L2 spaces. Set , , and for set For , define by multiplication by the th coordinate on sector , with exact domain Each is self-adjoint, and is a graph core. The joint projection-valued measure Projection valued measure on is For , let be multiplication on sector by , with its maximal square-integrability domain. Then is a strongly continuous unitary group on all of Fock space, and its norm derivative at zero exists exactly for , where it is . The zero-particle sector is the vacuum eigenvector at joint value .
Facts & Assumptions
Given: Countable Choice; a sigma-finite measure space ; a finite-valued measurable ; and the completed product measures and bosonic Fock construction.
Sigma-finite product measures exist, have the rectangle formula, and their completions alter measurable sets only by null subsets. Finite, sigma-finite, and semifinite measures The product measure of two sigma-finite measure spaces The completed product measure and uniqueness of the sigma-finite product measure imply that finite products are independent of parenthesization and invariant under coordinate permutations. For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
Set with sigma-algebra and unit mass . For one factor put and . For , let be the recursively defined product sigma-algebra and let be the completion of the -fold product measure on it. Thus in the Statement means for , and by the one-factor base convention means for ; the vacuum component uses .
Equip with its Borel sigma-algebra . The map is measurable from to , and the PVM in the Statement is indexed by , as in Projection valued measure.
The Fock space is the square-summable direct sum of its symmetric sectors, with the second-variable-linear pairing fixed in Schwartz/distribution spaces and Hilbert Fock conventions. Each sector is the range of its orthogonal permutation projection in a completed Hilbert tensor power for ; . Schwartz/distribution spaces and Hilbert Fock conventions Permutation sector projections on the n-fold tensor power
For , the product-tensor unitary sends to ; iteration identifies the full tensor power with the full completed product space. For the identification is the identity on . Tensor products of sigma-finite L2 spaces
Coordinate permutations act unitarily, and the symmetric sector is the range of their orthogonal averaging projection. Hilbert tensor construction: inner product, completion and product bases Permutation sector projections on the n-fold tensor power
For a densely defined operator, its adjoint is characterized by the inner-product identity; a symmetric operator is self-adjoint exactly when its domain equals the adjoint domain. Use the reversed-pairing form of the definitions for the second-variable-linear convention. Adjoint of a densely defined operator Symmetric, self-adjoint and essentially self-adjoint operators
A core for a closed operator is a subspace of its domain dense for the graph norm . Unbounded linear operators: domain, graph and extension Densely defined, closed and closable operators, and cores
Dominated convergence and Fatou's lemma apply on each measure space and on the countable disjoint union ; these integral theorems do not require the measure spaces to be complete. Dominated convergence Fatou's lemma
The complex exponential satisfies for real and . The complex exponential by its power series , and the complex exponential extends the real exponential
Proof
For , each sector is a closed subspace of its Hilbert tensor power, because it is the range of an orthogonal projection [F3]; the zero-particle sector is also complete. To prove that the Fock direct sum is complete for arbitrary , let be Cauchy in its square-sum norm. Each coordinate is Cauchy in the complete sector , so it has a limit . A Cauchy sequence in a normed space is bounded (its tail lies within distance of one fixed term, and its finite initial segment is bounded); taking limits of each finite partial sum shows , hence belongs to the direct sum. Given , choose so that for ; for fixed , take in every finite coordinate sum to obtain for every . Taking the supremum over proves . Truncating the coordinate sequence proves that is dense. For use the identity in [F2]. For , iterate the product-tensor unitary of [F2]; induction gives a unitary from to the full completed-product . On elementary tensors the permutation becomes coordinate permutation, so by density the unitary intertwines with averaging over coordinate permutations [F3]. Its restriction identifies with the closed symmetric subspace. Each is Borel measurable by [A3], since it is a finite sum of measurable coordinate maps, and is invariant under all permutations. The sector is by definition.
Let with the disjoint-union sigma-algebra and measure , using the conventions of [A2]; write for on component . The Fock realization in step 1.1 is a closed subspace of consisting of symmetric components. For , define by multiplication by . Since is invariant under permutations, this multiplier preserves the symmetric subspace. It is an orthogonal projection because its multiplier is real and idempotent; , and follow pointwise. For pairwise disjoint with union , the squared norm of is The indicators tend pointwise to zero and the integrand is bounded by , whose total integral is ; dominated convergence [F6] gives norm convergence. Hence is a strongly countably additive PVM on the Borel sets.
Fix a real measurable multiplier on that is invariant under coordinate permutations, and define on the symmetric domain . This domain is dense: the symmetric cutoffs belong to it and converge in norm by dominated convergence. Reality of makes symmetric. If and , then for each the vector is symmetric and lies in , since is bounded on its support. The adjoint identity gives Taking the union over shows almost everywhere, so and . Conversely, for every , reality of gives the adjoint identity against every domain vector, so . Therefore is self-adjoint on its maximal multiplication domain. Apply this to to obtain each self-adjoint , and to to obtain .
For each , the multiplier defines with the displayed component domain because the squared norm of is exactly ; the vacuum term is zero. For , the same calculation gives . The PVM from step 2.1 has coordinate functions , so its indicators give the joint spectral projections for all the and its scalar-coordinate multipliers have these exact domains. Truncating a vector in any such domain after sector makes both its norm tail and operator-image tail tend to zero; hence and are graph cores.
By [F6], is unitary and on each component, including the vacuum where the phase is one. For any , the squared norm of is the integral over of ; the integrand tends pointwise to zero and is bounded by , so [F6] proves strong continuity. If , the pointwise difference quotient tends to and its squared error is bounded by ; dominated convergence proves norm convergence. Conversely, if the difference quotient has a norm limit as , take . Fatou's lemma [F6] on the disjoint union gives so ; the forward calculation identifies the limit as . This proves the exact derivative criterion and all claims.
Self-adjoint Segal fields and explicit Weyl unitaries
Statement
Assume Countable Choice The Axiom of Countable Choice (). Let be a separable complex Hilbert space with the second-variable-linear convention of Schwartz/distribution spaces and Hilbert Fock conventions, and let and be its bosonic Fock space and finite-particle domain. For define on the Segal field For , this symmetric operator is essentially self-adjoint; write . If , , , , choose a countable orthonormal basis of whose vectors are finite-particle, and use the one-mode splitting of One-mode factorization of symmetric Fock space followed by the Hermite unitary into with pairing to write a vector as . Then the exact domain and action are For , closes to the zero operator on all of .
Define for . There are unitaries determined on these total exponential vectors by They obey and is strongly continuous. For every , the one-parameter group has norm derivative at zero exactly on , with derivative (for this is the zero generator). Thus the displayed bounded Weyl operators have precisely the closed Segal fields as their generators; no point-field or measurement claim is included.
Facts & Assumptions
Given: Countable Choice; a separable complex Hilbert space ; its bosonic Fock sectors, vacuum, finite-particle domain and creation/annihilation maps; and the Hermite functions .
Countable Choice is the choice assumption of the Fock tensor and sector constructions. The Axiom of Countable Choice ()
On finite sectors, is conjugate-linear in , is linear, and they are mutual adjoints between adjacent sectors; their sector norms are at most and . Bosonic and fermionic Fock operators with exact domains
For a unit vector , and the map extends to a unitary from to ; and become the one-mode lowering and raising maps. One-mode factorization of symmetric Fock space
The real Hermite functions form an orthonormal basis of Lebesgue , with , , , and . Hermite completeness Hermite recurrence
Multiplication is self-adjoint, and the finite Hermite span is a core in its graph norm. The graph, adjoint, and core terms have the definitions in Unbounded linear operators: domain, graph and extension, Adjoint of a densely defined operator, and Densely defined, closed and closable operators, and cores. The cited core result uses first-variable-linear ; complex conjugation transfers it to the second-variable-linear pairing used here, because and every are real. Hermite functions form a graph core for position multiplication
For a densely defined operator , exactly when there is with for all ; the real multiplication operator is symmetric when its multiplier is real. This is the adjoint convention of Adjoint of a densely defined operator after reversing the pairing, together with Symmetric, self-adjoint and essentially self-adjoint operators.
The complex exponential has its everywhere-convergent power series; its addition law and the Cauchy product for absolutely convergent series justify the expansion of . The modulus formula gives for real . For , the absolute series gives ; for , the triangle inequality gives . Thus for all real . The complex exponential by its power series The complex exponential series converges absolutely for every complex argument The Cauchy product of two absolutely convergent complex series converges absolutely to the product of their sums , and the complex exponential extends the real exponential , , and Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive
Dominated convergence and Fatou's lemma apply to the Lebesgue measure; for an function , the estimate follows by integrating on that set. Countable subadditivity then implies that an -convergent sequence has an almost-everywhere convergent subsequence by choosing squared errors summable after thresholds tending to zero. Measure spaces The space as the quotient by null functions Dominated convergence Fatou's lemma
The span of elementary tensors is dense in a Hilbert tensor completion, and a complete orthonormal family in each factor gives a complete product orthonormal family. Hilbert tensor construction: inner product, completion and product bases
Proof
Put and for a unit vector . Since is separable, its continuous orthogonal projection sends a countable dense subset of to a countable dense subset of . Finite elementary tensors from that subset have dense span in each tensor power by [F8]; applying the bounded symmetrizer gives a countable dense subset of each . Rational complex finite sums over the countably many sectors give a countable dense subset of consisting of finite-particle vectors. Gram–Schmidt, omitting zero residuals, therefore gives a finite or countable orthonormal basis of whose vectors are all finite-particle.
Map the one-mode basis to . The map is a linear unitary: the two displayed families are complete orthonormal families, and both pairings are second-variable-linear. Here has pairing ; the core and self-adjointness of transfer from [F4] by complex conjugation. The recurrence [F3] shows that equals on the finite Hermite span. Together with [F2], the full field for acts in as multiplication by on the dense span of .
Under the product-basis unitary of [F8], identify with . Define on . Its domain is dense because finite coordinates supported in are dense. It is symmetric since is real. If and , test the adjoint identity in coordinate against and set all other coordinates to zero. This vector lies in because is bounded on ; the identity then gives . Letting yields almost everywhere for each , so and . Conversely, for , reality of gives for every , hence . Thus is self-adjoint with the displayed domain.
The series defining converges in Fock norm because [F6]. Its inner products are . These vectors are total: if is orthogonal to all of them, then for every and scalar the entire power series vanishes, so each coefficient is zero. For fixed , the coefficient of in is ; it too vanishes. The symmetrized elementary tensors have dense span in by [F8], hence every and .
The finite Hermite span is graph dense in by [F4]. The vectors from step 1.1 are finite-particle, so every belongs to the image of under and . For any , truncating the countable coordinate sum converges in the graph norm of because both and converge. For each retained coordinate, if then and we approximate it in the graph norm of by finite Hermite sums using [F4]; multiplying the graph component by the fixed scalar preserves convergence. If , finite Hermite sums are dense in by [F3], and the operator graph norm is just the norm. Hence the image of is graph dense in . Step 1.2 identifies the restriction with , and scaling gives the same for . Therefore is essentially self-adjoint and its closure is the self-adjoint transported through these unitaries, with exactly the domain stated. When , it is the zero operator on the dense and its closure is zero on all Fock space.
Write . Using the exponential-vector inner product from step 1.4 and , direct cancellation gives . Thus the formula in the Statement preserves inner products on the span of total exponential vectors and extends uniquely to an isometry . Substituting the formula twice, using , gives the left-hand scalar Since , this scalar is exactly the right-hand scalar below, including its Weyl phase: Taking shows , so each isometry is unitary and the Weyl identity holds on all Fock space. The vacuum case gives .
The formula for is norm-continuous in for every . Since the exponential vectors have dense span and , this implies strong continuity: approximate an arbitrary vector by a vector in that span and bound the two remaining errors by twice the approximation error. To identify its generator, write , with . Expanding the permutation average in the one-mode splitting [F2] gives . The absolutely convergent exponential series and their Cauchy product [F6] give , where . Here and . In , reindex the second finite sum by ; for each common power , the combined numerator is , giving . The recurrence and initial values in [F3] therefore give by induction, so . Since , substituting shows that the Hermite series for converges pointwise to . Let . The also converge in by the Fock norm series. To identify these limits, choose a subsequence whose squared errors from the Hilbert-space limit are below . The sets where have measure at most , by integrating the squared error; their tail unions have measure at most . Thus this subsequence converges almost everywhere to the limit, which must equal the pointwise generating-function limit. Multiplication by sends this function to which is exactly the image of under and . By totality, is the coordinate multiplier for every real . Its difference quotient converges on the displayed domain to : if , [F6] gives , so the squared error from is bounded by and dominated convergence gives the norm limit; conversely, if a difference quotient converges, Fatou's lemma along gives . Thus its exact generator domain is and the derivative is ; is immediate.
5 · Examples, experiments and counterexamples
None yet.
Sources
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, lecture notes, §§5.1–5.5 and 5.7–5.9 (Hilbert and Fock spaces)
- Semyon Dyatlov, Lecture Notes for MIT 18.155, §§11.1.1 and 11.2.1 (Schwartz functions and tempered distributions)
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, §8.3 (the harmonic oscillator)
- Semyon Dyatlov, Lecture Notes for MIT 18.155, §§11.1.1, 11.1.4–11.1.5 (Schwartz functions and Fourier inversion)
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, §1.4 (orthogonal sums and tensor products), pp. 45–47
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, lecture notes, §5.3 (tensor products), pp. 34–35
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, lecture notes, §§5.4–5.5 and 5.8 (Fock sectors and creation/annihilation)
- David Tong, Quantum Field Theory, §§2.2–2.4 (free-field modes, multi-particle states and Fock space)
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, lecture notes, §5.9 (the exponential law for Fock spaces)
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, §§5.4–5.6 and 5.9
- David Tong, Quantum Field Theory, §§2.2–2.4
- Jan Dereziński, Mathematical Introduction to Quantum Field Theory, §§5.4–5.9 and 7.4, 7.7
- Gerald Teschl, Mathematical Methods in Quantum Mechanics, §8.3