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Hilbert direct-sum construction
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be a complex Hilbert space with inner product linear in the first argument (Hilbert space, Real and complex inner-product spaces and their induced length). Let , and be the completed tensor powers with elementary tensors (Hilbert tensor construction: inner product, completion and product bases); for let be the symmetric projection of Permutation sector projections on the n-fold tensor power and set . Write for its range and define
Then:
(a) for the scalar series converges absolutely and defines a sesquilinear form, linear in the first argument, with respect to which is a complex vector space with inner product (Cauchy–Schwarz: , with equality exactly for dependent pairs, Series and absolute convergence in a normed space);
(b) is a Hilbert space, i.e. the induced norm is complete (Hilbert space);
(c) the vacuum vector satisfies , and the finite-particle space is a dense linear subspace of (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets);
(d) for every the map , (entry in coordinate ) is a linear isometry of onto the closed subspace of vectors supported in coordinate ;
(e) if admits a countable complete orthonormal family , at most countable (Orthonormal families, complete orthonormal systems and Hilbert bases), then is separable (Separability: the existence of an at most countable dense subset);
(f) direct sums of self-adjoint operators: if for every , including , a self-adjoint operator on the Hilbert space with domain is given (so is a self-adjoint operator on ), (Symmetric, self-adjoint and essentially self-adjoint operators, Unbounded linear operators: domain, graph and extension), and
then is self-adjoint and is dense; if in addition every is bounded with , then is bounded with (A bounded linear operator between normed spaces).
No physical interpretation of , of the tensor powers or of the direct-sum operators is asserted.
Facts & Assumptions
Given: the complex Hilbert space with inner product linear in the first argument, the completed tensor powers with symmetric projections , the set , vectors , and, in part (f), self-adjoint operators on .
For every , is an orthogonal projection (with ), so is a closed linear subspace of the complete space ; for fixed the map is linear and bounded (Permutation sector projections on the n-fold tensor power, Hilbert tensor construction: inner product, completion and product bases).
Cauchy-Schwarz holds in each sector by Cauchy–Schwarz: , with equality exactly for dependent pairs. For square-summable scalar sequences, apply that theorem to the finite nonnegative real vectors and in with inner product , then let in the nonnegative partial sums; this gives .
A self-adjoint operator is closed and symmetric; a densely defined symmetric operator satisfies (Symmetric, self-adjoint and essentially self-adjoint operators, Adjoint of a densely defined operator, Densely defined, closed and closable operators, and cores).
A subset of a normed space is dense exactly when every vector is the norm limit of a sequence from (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets).
Proof
[Absolutely convergent pairing] Let . Coordinatewise addition preserves the defining square-summability because , and scalar multiplication does as well, so is a complex vector space. By [F2] with , , , so the series defining converges absolutely (Series and absolute convergence in a normed space); termwise addition and scalar multiplication give sesquilinearity and linearity in the first argument, inherited from the pairings on the . If then for every , so the displayed form is positive definite and is an inner product.
[Completeness] Let be a Cauchy sequence in and let . For each , , so is Cauchy in the complete space ([F1]) and converges to some ; since is closed, ([F1]). Choose with for . Fix . For every finite , , where the last term uses the limit as in . Taking the supremum over finite shows . Also, for each and finite , by letting in ; taking the supremum gives . Thus and is complete, proving (b).
[Vacuum, density and embeddings] The vacuum has . For the truncations satisfy , so is dense by [F4]; is a linear subspace because each is one ([F1]). Each is linear and , and its range is the set of vectors supported in coordinate , a closed subspace identified isometrically with .
[The direct sum is closed] Let be as in (f) and let with and in . For each , and ; since is self-adjoint, hence closed ([F3]), and . For every finite , continuity of the norm and the finite sum give . Taking the supremum over finite partial sums shows , so and ; thus is closed. It is symmetric because for the middle series below converges absolutely by [F2] applied to the square-summable families , and : .
[Density of the direct-sum domain] Let and . Choose so that . For each of the finitely many , the self-adjoint operator is densely defined, so choose with ; put for . The vector belongs to because it has finite support and every retained coordinate belongs to its operator domain. Moreover, . Thus is dense in .
[The adjoint is the same diagonal sum] Let with , so for all . Testing with supported in a single coordinate shows that the functional on the dense domain is bounded by ; hence and . Since , the coordinate identity gives . Therefore and ; with from step 1.4, is self-adjoint, and is dense by step 1.5. If every is bounded by , then for every and testing on unit vectors in individual nonzero sectors where approaches gives the reverse inequality.
[Separability] Assume is a complete orthonormal family of with at most countable. For the elementary tensors , , have dense linear span in by the product-bases statement of Hilbert tensor construction: inner product, completion and product bases; since is bounded, the image of a dense set is dense in (given in the range and approximants , continuity gives ). Hence the at most countable set has dense span in : any is the limit of its truncations, and each is approximated in by finite combinations from . A normed space with a countable set whose finite linear combinations are dense is separable.
Depends on
Hilbert tensor construction: inner product, completion and product bases
Permutation sector projections on the n-fold tensor power
Hilbert space
Real and complex inner-product spaces and their induced length
Completion of a normed space
Orthonormal families, complete orthonormal systems and Hilbert bases
Separability: the existence of an at most countable dense subset
Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets
Cauchy–Schwarz: , with equality exactly for dependent pairs
Series and absolute convergence in a normed space
Symmetric, self-adjoint and essentially self-adjoint operators
Adjoint of a densely defined operator
Densely defined, closed and closable operators, and cores
Unbounded linear operators: domain, graph and extension
A bounded linear operator between normed spaces
The Axiom of Countable Choice ()