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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 regular Borel 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 . It is regular: for any Borel and , choose a finite initial segment of whose weighted measure tail has total mass below . For each measure in that segment, choose a compact subset of approximating from inside, or an open superset approximating it from outside, with weighted error summing to less than . The finite union of the compact subsets lies in and the finite intersection of the open supersets contains ; each approximates within because the discarded tail has total mass below . (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. If is Cauchy in the direct sum, each component converges in to some . The finite partial sums of are bounded by the squared norms of the Cauchy sequence, so has finite direct-sum norm. Given , choose such that for ; for fixed , pass in each finite coordinate sum and then take the supremum over those sums to get . Thus the direct sum is complete (Riesz-Fischer completeness of for ). (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 the positive-measure identity and the nonnegative change-of-density integral (Integrating against a density agrees with integrating the product); 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) At this stage the data come from the chosen decomposition; independence of the measure class and almost-everywhere multiplicity is established later, after the intertwiner lemma. For this decomposition 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 density agrees with integrating the product
- Riesz-Fischer completeness of $L^p$ for $1 \le p \le \infty$
- 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)