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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.
Depends on
Schwartz/distribution spaces and Hilbert Fock conventions
The Axiom of Countable Choice ()
The completed product measure
Finite, sigma-finite, and semifinite measures
The space as the quotient by null functions
The complex pairing on equivalence classes
The product measure of two sigma-finite measure spaces
The product sigma-algebra and its finite iterates
Measurable rectangles in a product of measurable spaces
Pi-systems
Lambda-systems, or Dynkin systems
with the integral pairing is a Hilbert space
Hilbert tensor construction: inner product, completion and product bases
Continuity from below for measures
Dynkin's pi-lambda theorem
For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
Simple functions with finite-measure support are dense in for