Projection-valued measures and spectral integrals
1 Introduction
The purpose of these notes is to precisely define all the objects one needs to talk about projection-valued measures and the spectral theorem.
2 Orthogonal complements
Let be a separable complex Hilbert space.
If is a subset of , the span of is the set of all finite linear combinations of elements of . If , , are subsets of , let
denote the closure of the span of . It is straightforward to check that this is the intersection of all closed subspaces of that contain each of the .11 1 Let be the set of all closed subspaces of . Set inclusion is a partial order on . is a lattice: if , then is the greatest element in that is contained both in and in , and is the least element in that contains each of and . is a complete lattice: if , then is the greatest element in that is contained in each , and is the least element in that contains each . (For comparison, the set of finite dimensional subspaces of an infinite dimensional Hilbert space is a lattice but is not a complete lattice.)
If is a subspace of , define
called the orthogonal complement of . If is a subspace of then is a closed subspace of .
Let be a closed subspace of and let . It is a fact that there is a unique such that
and that . Then, . Therefore, if is a closed subspace of then
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If and are subspaces of , we write if for all . If are closed subspaces of and , we can show that , and thus is in particular a closed subspace of .22 2 If and , write , and . Using we get , which we use to prove the claim. On the other hand, there are examples of closed subspaces of a Hilbert space that do not satisfy for which is not itself closed. By induction, we obtain . If , , are mutually orthogonal closed subspaces of , we define
called the orthogonal direct sum of the subspaces . The orthogonal direct sum is equal to the closure of the set of all finite sums of the form , where .33 3 See Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 26, §13, Theorem 2.
If is a closed subspace of , then (1) is
The subobjects of a Hilbert space that we care about are mostly closed subspaces, because they are themselves Hilbert spaces (a closed subset of a complete metric space is itself a complete metric space). Generally, when talking about one type of object, we care mostly about those subsets of it that are the same type of object, which is why, for example, that we are so glad to know when closed subspaces are mutually orthogonal, because then their sum is itself a closed subspace.44 4 Paul Halmos in his Introduction to Hilbert Space and the Theory of Spectral Multiplicity uses the term linear manifold to refer to what I call a subspace and subspace to refer to what I call a closed subspace. I think even better terms would be linear subspace and Hilbert subspace, respectively; this would emphasize the category of objects with which one is working.
3 Projections
Let be a closed subspace of . The projection onto is the map defined in the following way: if , let , and set . The image of is : if then there is some such that and , , so by the definition of we get , giving ; on the other hand, if then , so .
The image of a projection is closed.55 5 We call a projection if there is some closed subspace of such that is the projection onto , and this will be the image of . We often talk about a projection in without specifying what it is a projection onto. Hence if is a projection, we have
If is a projection onto a closed subspace of , we check that . If , then, because ,
so . If , let , . Then
Hence if is a projection and , then . Of course, if then . Using , we check that if then
hence is self-adjoint.
We call idempotent if .66 6 Often the term projection is used to refer to a thing we would call an idempotent, and the term orthogonal projection is used to refer to a thing we would call a projection. The following conditions are each equivalent to a nonzero idempotent being a projection:
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is positive
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is self-adjoint
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is normal
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4 The lattice of projections
Two important projections: is the projection onto , and is the projection onto .
If is self-adjoint, we say that is positive if, for all ,
If are self-adjoint, we say that if, for all ,
This is equivalent to being a positive operator. Thus, is a positive operator if and only if . One checks that is a partial order on the set of bounded self-adjoint operators on .
Let be a projection. As , if then , ,
Hence .
Let be projections. It is a fact that the following statements are equivalent:
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for all
The set of projections is a complete lattice.77 7 If are projections, then the infimum of and is the projection onto , and the supremum of and is the projection onto . See Problem 96 of Paul Halmos’s Hilbert Space Problem Book.
5 Sums of projections
If are projections, we write if , which is equivalent to and ; neither one of those by itself is sufficient. It is a fact88 8 See Steven Roman, Advanced Linear Algebra, third ed., p. 78 that is a projection if and only if , in which case is a projection onto . The product is a projection if and only if , in which case it is a projection onto .
Paul Halmos shows the following in Question 94 of his Hilbert Space Problem Book: If are self-adjoint such that for all and if there is some self-adjoint such that for all , then there is some self-adjoint such that in the strong operator topology.99 9 Recall that if and , we say that in the strong operator topology if for all we have . (If in then in the strong operator topology.) This is analogous to how a nondecreasing sequence of real numbers that has an upper bound converges to a real number.
Let , , be closed subspaces of such that and let be the projection onto . As we have for all . Also, for all , as is the projection onto and . Hence by the result from Halmos stated above, there is some self-adjoint such that in the strong operator topology. Let
I claim that is the projection onto .1010 10 cf. Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 46, §28, Theorem 1.
If , , are projections and for , let
Define . As is a closed subspace of , we have
If , , then
Thus is the projection onto . Therefore, there is some self-adjoint such that in the strong operator topology, and with
is the projection onto . in the strong operator topology, and we denote by .
6 Definition of projection-valued measures
Let be the set of projections in . Let be the Borel -algebra of . A projection-valued measure on is a map such that
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and
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If , , are pairwise disjoint, then
where is the limit of in the strong operator topology.
7 Finite additivity
If is any function that satisfies for disjoint , then it satisfies the following four properties. In particular, if is a projection-valued measure it satisfies them.
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, so .
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If and , then
since is a projection and hence is a positive operator. Therefore, if then .
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Let . We have
and
and
and combining these gives, for any ,
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Let . Multiplying both sides of the above equation on the left by gives
As and are projections and , we have
which with gives
Hence, for any ,
8 Complex measures
Suppose that is a function such that , and that for all , the function defined by
is a complex measure. I will show that is a projection-valued measure. Let , , be pairwise disjoint.1111 11 cf. Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 59, §36, Theorem 3. If are disjoint, then for all ,
and since this holds for all , we obtain . Therefore, from §7, if are disjoint then
If and , then, for ,
For , for the sequence to converge in it is equivalent to ;1212 12 e.g. Walter Rudin’s Functional Analysis, p. 295, Theorem 12.6: if are pairwise orthogonal, not necessarily of unit norm, then for to converge is equivalent to . but , so it suffices to show that . Using that if is a projection then is self-adjoint and , and that is a complex measure,
Therefore, the sequence converges in ; namely, converges in the strong operator topology. Let be its limit. By §5, is the projection onto .
For ,
and since this is true for all , we obtain
where is the limit of in the strong operator topology. This completes the proof that is a projection-valued measure.
On the other hand, if is a projection-valued measure, we can show that for each the function defined by is a complex measure.
9 Spectral integrals
Let be the set of bounded measurable functions .1313 13 This is not , the set of equivalence classes of essentially bounded measurable functions, where two functions are equivalent if they are equal almost everywhere. Moreover, it is not even the set of essentially bounded measurable functions. When does one speak about ? is a vector space; let be the set of those functions that are equal to almost everywhere in ; is a vector space; then is the vector space quotient . It is a complex vector space, and we define the norm ; one checks that is a Banach space. Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 60, §37, proves1414 14 The operator is the operator obtained from the following statement, which itself follows from the Riesz representation theorem. If is sesquilinear (we take sesquilinear to mean linear in the first entry and conjugate linear in the second entry) and then there exists a unique such that and . One also has to prove that for each , is sesquilinear. that if is a projection-valued measure and , then there is a unique such that, for all ,
and . We write
We can check that is a -algebra, with defined by . It is a fact that is a -algebra. If and , then1515 15 See Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 60, §37, Theorem 2.
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The first two of these together with show that is a bounded linear map. If , then1616 16 From Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 61, §37, Theorem 3. To understand the proof by Halmos (which is symbolically convincing because of our familiarity with the permissible moves one can make when integrating functions using complex measures), keep in mind that if then
This and the third statement in (2) show that is a homomorphism of -algebras:
From the fact that is a homomorphism of -algebras, it follows in particular that is a normal operator for each .
10 The spectrum of a projection-valued measure
If is a projection-valued measure, let , be those open sets such that . The spectrum of is
this may also be called the support of , and is analogous to the support of a nonnegative measure. Since is the complement of a union of open sets, it is closed.
For each , let . is compact, so there are such that
But, using §7 and the fact that for ,
therefore (it will be , and as a projection is a positive operator it must equal ). Let ; as is a subset of we get . We have , and as the are pairwise disjoint we get
contradicting that . Therefore, if is a projection-valued measure then its spectrum is not empty.
Here are some facts about projection-valued measures. .1717 17 Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 62, §38, Theorem 1. His statement is about regular measures, but a projection-valued measure on the Borel -algebra of is regular, as he shows on the page after that.
Let be the set of bounded measurable functions , and let . If is a projection-valued measure with compact spectrum and is continuous, then1818 18 Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 62, §38, Theorem 2.
(We often talk about projection-valued measures whose spectrum is compact; since their spectrum is closed, to demand that the spectrum of a projection-valued measure is compact is to demand that it is bounded.)
If is a projection-valued measure with compact spectrum and if , then1919 19 Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 64, §39, Theorem 2. The proof uses the fact that is invertible if and only if there is some such that for all .
11 Statement of the spectral theorem
The spectral theorem, proved by in Paul Halmos, Introduction to Hilbert Space and the Theory of Spectral Multiplicity, p. 69, §43, Theorem 1, states the following:
If is self-adjoint, then there exists a unique projection-valued measure , with compact and , such that
Since , we can write .