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Spectral multiplicity function in the separable case
Definition
Assume AC. Let be a bounded normal operator on a nonzero separable complex Hilbert space (Separability: the existence of an at most countable dense subset) with spectral projection valued measure on and spectral measure class to be described below.
Step 1: a countable cyclic decomposition. By the multiplication-operator form of the spectral theorem applied to a dense sequence, fix once and for all a finite or countable family of nonzero vectors with where is the cyclic subspace of and each is a nonzero finite positive regular Borel measure on (Multiplication operator form of the bounded normal spectral theorem, Cyclic vector and cyclic normal operator, Scalar and complex measures from a pvm). The index set is a finite or countable subset of , listed in increasing order, and summands with are omitted.
Step 2: a common dominating measure. Put Then is a finite positive measure with for every ; let be the Radon–Nikodym derivative and its positivity set (A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density).
Step 3: the multiplicity function. Define the multiplicity function of the decomposition by It is a Borel function, and is the fiber dimension function of the model below. The set of active coordinates has cardinality , and for the -th active coordinate is a Borel function on the Borel set ; the sets are decreasing and is -conull.
Step 4: the standard measurable-field model. The standard model of the decomposition is the space of measurable fields with componentwise operations and inner product (A measurable function between measurable spaces, The space as the quotient by null functions), where fields are identified when they agree -almost everywhere in every component. Its fiber at is , so the fiber dimension is exactly , and the model is the direct sum of the ordinary -spaces of the restrictions of to the decreasing sets (Hilbert space).
Claim of the definition (identification with the operator model). The rank enumeration of active coordinates together with the Radon–Nikodym derivatives identifies the standard model unitarily with the orthogonal sum of the cyclic -summands: the map where is the rank of in , is a well-defined unitary operator intertwining the multiplications by every bounded Borel function and, in particular, intertwining with .
Well-definedness. (1) is finite and nonzero and for each , since the -th summand of the sum dominates . (2) exists, is nonnegative -almost everywhere and is unique up to -null sets (Radon–Nikodym); is Borel and . (3) is -conull: since off one has for every , so the dominating sum vanishes there, and therefore -almost everywhere. (4) is Borel as a countable sum of indicators, and is Borel on because is a Borel set. (5) is a Hilbert space: it is the orthogonal direct sum , whose components are complete by Riesz– Fischer and whose direct sum is complete because a Cauchy sequence in the sum has summable component norms, its components converge in the complete spaces , and the componentwise limit has finite norm and is the norm limit (dominated convergence for the counting measure) (Riesz-Fischer completeness of for , Dominated convergence). (6) is well defined: is Borel because on each Borel set it equals with there, it vanishes off , and it is -square-integrable because using on (Integrating against a Radon-Nikodym derivative recovers integration against the measure, The total variation of an absolutely continuous signed or complex measure has density the absolute value of the Radon-Nikodym derivative); the same display shows is isometric, and is onto with inverse , on and otherwise, which is Borel by the same rank-measurability and is square-integrable by the same computation; multiplicativity is componentwise and gives for every bounded Borel , hence . (7) The data depend on the chosen decomposition; the measure class of and the almost-everywhere class of are independent of the choice by the intertwiner lemma and the classification theorem proved immediately below on this page. The multiplicity function is the fiber dimension of the model, equal to ; at a non-atomic point of with respect to it is not the dimension of the eigenspace , which is the fiber of the atoms carried by .
Depends on
- Multiplication operator form of the bounded normal spectral theorem
- Maximal orthogonal family of cyclic reducing subspaces
- Cyclic vector and cyclic normal operator
- Scalar and complex measures from a pvm
- A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density
- Integrating against a Radon-Nikodym derivative recovers integration against the measure
- The total variation of an absolutely continuous signed or complex measure has density the absolute value of the Radon-Nikodym derivative
- Riesz-Fischer completeness of $L^p$ for $1 \le p \le \infty$
- Dominated convergence
- The space $L^p(\mu)$ as the quotient by null functions
- Separability: the existence of an at most countable dense subset
- A measurable function between measurable spaces
- Hilbert space
- The Axiom of Choice
Used by
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Sources
- John B. Conway, A Course in Functional Analysis, 2nd ed., Chapter IX §10, printed pp.295–301 (standard reference, not scraped)
- Andreas Kriegl, Funktionalanalysis, §8.61 and §8.64, printed pp.196–199 (standard reference, not scraped)