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.
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.
Depends on
Schwartz/distribution spaces and Hilbert Fock conventions
The Axiom of Countable Choice ()
Adjoint of a densely defined operator
Symmetric, self-adjoint and essentially self-adjoint operators
Unbounded linear operators: domain, graph and extension
Densely defined, closed and closable operators, and cores
Projection valued measure
The complex exponential by its power series
, and the complex exponential extends the real exponential
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
Dominated convergence
Fatou's lemma
Hilbert tensor construction: inner product, completion and product bases
Permutation sector projections on the n-fold tensor power
Tensor products of sigma-finite L2 spaces