Operators on anti-dual pairs: Lebesgue decomposition of positive operators
Zsigmond Tarcsay

TL;DR
This paper develops a general theory for decomposing positive operators on anti-dual pairs into absolutely continuous and singular parts, generalizing earlier Lebesgue-type decompositions and applying to various mathematical objects.
Contribution
It introduces a unified framework for Lebesgue decomposition of positive operators on anti-dual pairs, with algebraic, topological characterizations and applications to multiple operator classes.
Findings
Established a general Lebesgue-type decomposition theorem.
Provided algebraic and topological characterizations of absolute continuity and singularity.
Demonstrated applications to Hilbert space operators, Hermitian forms, and set functions.
Abstract
In this paper we introduce and study absolute continuity and singularity of positive operators acting on anti-dual pairs. We establish a general theorem that can be considered as a common generalization of various earlier Lebesgue-type decompositions. Different algebraic and topological characterizations of absolute continuity and singularity are supplied and also a complete description of uniqueness of the decomposition is provided. We apply the developed decomposition theory to some concrete objects including Hilbert space operators, Hermitian forms, representable functionals, and additive set functions.
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Operators on anti-dual pairs:
Lebesgue decomposition of positive operators
Zsigmond Tarcsay
Zs. Tarcsay
Department of Applied Analysis and Computational Mathematics
Eötvös Loránd University
Pázmány Péter sétány 1/c.
Budapest H-1117
Hungary
Abstract.
In this paper we introduce and study absolute continuity and singularity of positive operators acting on anti-dual pairs. We establish a general theorem that can be considered as a common generalization of various earlier Lebesgue-type decompositions. Different algebraic and topological characterizations of absolute continuity and singularity are supplied and also a complete description of uniqueness of the decomposition is provided. We apply the developed decomposition theory to some concrete objects including Hilbert space operators, Hermitian forms, representable functionals, and additive set functions.
Key words and phrases:
Positive operator, anti-dual pair, Lebesgue decomposition, absolute continuity, singularity, Hilbert space, Hermitian form, representable functional, additive functional
2010 Mathematics Subject Classification:
Primary 46L51, 47B65, Secondary 28A12, 46K10, 47A07
The author was supported by the DAAD-Tempus PPP Grant “Harmonic analysis and extremal problems” and by the “For the Young Talents of the Nation” scholarship program (NTP-NFTÖ-17) of the Hungarian Ministry of Human Capacities.
1. Introduction
This paper is part of a unification project aiming to find a common framework and generalization for various results obtained in different branches of functional analysis including extension, dilation and decomposition theory. One important class of such results are decomposition theorems analogous to the well known Lebesgue decomposition of measures. What do we mean about analogous? In several cases, transformations of a given system can be grouped into two extreme classes according to the behavior with respect to their qualitative properties. These particular classes are the so-called regular transformations (i.e., transformations with “nice” properties) and the so-called singular ones (transformations that are hard to deal with). Of course, regularity and singularity may have multiple meanings depending on the context. A decomposition of an object into regular and singular parts is called a Lebesgue-type decomposition.
In order to understand a structure better, it can be effective to characterize its regular and singular elements. This explains why a regular-singular type decomposition theorem may have theoretic importance, especially when the corresponding regular part can be interpreted in a canonical way. The prototype of such results is the celebrated Radon-Nikodym theorem stating that every -finite measure splits uniquely into absolutely continuous and singular parts with respect to any other measure, and the absolutely continuous part has an integral representation. Returning to the previous idea, the Radon-Nikodym theorem can be phrased as follows: if we want to decide whether a set function can be represented as a point function, we only need to know if it is absolutely continuous or not. That is to say, in this concrete situation, the appropriate regularity concept is absolute continuity.
In the last 50 years quite a number of authors have made significant contributions to the vast literature of non-commutative Lebesgue-Radon-Nikodym theory – here we mention only Ando [2], Gudder [17], Inoue [22], Kosaki [23] and Simon [30], and from the recent past Di Bella and Trapani [7], Corso [8, 9, 10], ter Elst and Sauter [13], Gheondea [16], Hassi et al. [18, 21, 19, 20], Sebestyén and Titkos [32], Szűcs [34], Vogt [46].
The purpose of the present paper is to develop and investigate an abstract decomposition theory that can be considered as a common generalization of many of the aforementioned results on Lebesgue-type decompositions. The key observation is that the corresponding absolute continuity and singularity concepts rely only on some topological and algebraic properties of an operator acting between an appropriately chosen vector space and its conjugate dual. So that, the problem of decomposing Hilbert space operators, representable functionals, Hermitian forms and measures can be transformed into the problem of decomposing such an abstract operator.
In this note we are going to investigate Lebesgue decompositions of positive operators on a so called anti-dual pair. Hence, for the readers sake, we gathered in Section 2 the most important facts about anti-dual pairs and operators between them. We also provide here a variant of the famous Douglas factorization theorem. Section 3 contains the main result of the paper (Theorem 3.3), a direct generalization of Ando’s Lebesgue decomposition theorem [2]Theorem 1 to the anti-dual pair context. It states that every positive operator on a weak- sequentially complete anti-dual pair splits into a sum of absolutely continuous and singular parts with respect to another positive operator. We also prove that, when decomposing two positive operators with respect to each other, the corresponding absolute continuous parts are always mutually absolutely continuous. In Section 4 we introduce the parallel sum of two positive operators and furnish a different approach to the Lebesgue decomposition in terms of the parallel addition. In Section 5 we establish two characterizations of absolute continuity: Theorem 5.1 is of algebraic nature, as it relies on the order structure of positive operators. Theorem 5.3 is rather topological in character: it states that a positive operator is absolutely continuous with respect to another if and only if it can be uniformly approximated with the other one in a certain sense. Section 6 is devoted to characterizations of singularity, Section 7 deals with the uniqueness of the decomposition. To conclude the paper, in Section 8 we apply the developed decomposition theory to some concrete objects including Hilbert space operators, Hermitian forms, representable functionals, and additive set functions.
2. Preliminaries
The aim of this chapter is to collect all the technical ingredients that are necessary to read the paper.
2.1. Anti-dual pairs
Let and be complex vector spaces which are intertwined via a sesquilinear function
[TABLE]
which separates the points of and . We shall refer to as anti-duality and the triple will be called an anti-dual pair and shortly denoted by . In this manner we may speak about symmetric and, first and foremost, positive operators from to . Namely, we call an operator symmetric, if
[TABLE]
furthermore, is said to be positive, if its “quadratic form” is positive semidefinite:
[TABLE]
Clearly, every positive operator is symmetric.
Most natural anti-dual pairs arise in the following way. Let denote the conjugate algebraic dual of a complex vector space and let be a separating subspace of . Then
[TABLE]
defines an anti-duality, and the pair so obtained is called the natural anti-dual pair. (In fact, every anti-dual pair can be regarded as a natural anti-dual pair when is identified with , the set consisting of the conjugate linear functionals , .) Our prototype of anti-dual pairs is the system where is a Hilbert space with inner product .
Just as in the dual pair case (see e.g. [28]), we may endow and with the corresponding weak topologies , resp. , induced by the families , resp. . Both and are locally convex Hausdorff topologies such that
[TABLE]
where and refer to the topological dual and anti-dual space of and , respectively, and the vectors and are identified with , and , respectively. We also recall the useful property of weak topologies that, for a topological vector space , a linear operator is -contionuous if and only if
[TABLE]
is continuous for every .
This fact and (2.1) enables us to define the adjoint (that is, the topological transpose) of a weakly continuous operator. Let and be anti-dual pairs and a weakly continuous linear operator, then the (necessarily weakly continuous) linear operator satisfying
[TABLE]
is called the adjoint of . In particular, the adjoint of a weakly continuous operator emerges again as an operator of this type. The set of weakly continuous linear operators will be denoted by . An operator is called self-adjoint if . It is immediate that every symmetric operator (hence every positive operator) is weakly continuous and self-adjoint.
Finally, we recall that a topological vector space is called complete if every Cauchy net in is convergent. Similarly, is sequentially complete if every Cauchy sequence in is convergent. We shall call the anti-dual pair weak-* (sequentially) complete if is (sequentially) complete. It is easy to see that is always weak-* complete. It can be deduced from the Banach-Steinhaus theorem that, for a Banach space , is weak-* sequentially complete (but not weak-* complete unless is finite dimensional).
2.2. Factorization of positive operators.
Let be an anti-dual pair and a positive operator. As we have already mentioned, and . Now we give the prototype of positive operators. Let be a complex Hilbert space and let be a weakly continuous (i.e., - continuous) linear operator, then the adjoint operator is again weakly continuous and the product is positive:
[TABLE]
On a weak-* sequentially complete anti-dual pair , every positive operator can be written as . We sketch here the proof of this fact because we will use the construction continuously; for more details the reader is referred to [41]*Theorem 3.1.
Let be a weak-* sequentially complete anti-dual pair and let be a positive operator. Endow the range space with the following inner product:
[TABLE]
One can show that is well defined and positive definite, hence is a pre-Hilbert space. Let denote its Hilbert completion so that forms a norm dense linear subspace. The canonical embedding operator
[TABLE]
of into is weakly continuous, hence extends to an everywhere defined weakly continuous operator because of weak-* sequentially completeness of . We continue to write for this extension. The adjoint operator admits the canonical property
[TABLE]
that leads to the useful factorization of :
[TABLE]
2.3. Range of the adjoint operator
Operators of type will play a peculiar role in the theory of positive operators, as we have seen, every positive operator on a weak-* sequentially complete anti-dual pair admits a factorization through a Hilbert space . In this section we describe the range of the adjoint operator . The key result is a variant to Douglas’ famous range inclusion theorem [12] (for further generalizations to Banach space setting see Barnes [6] and Embry [14]).
Theorem 2.1**.**
Let be an anti-dual pair and let be Hilbert spaces. Given two weakly continuous operators () the following assertions are equivalent:
- (i)
, 2. (ii)
there is a constant such that
[TABLE] 3. (iii)
for every there is a constant such that
[TABLE] 4. (iv)
there is a bounded operator such that
[TABLE]
Moreover, if any (hence all) of (i)-(iv) is valid, then there is a unique such that
- (a)
, 2. (b)
, 3. (c)
.
Proof.
Implications (i)(iii), (iv)(ii)(iii) and (iv)(i) are immediate. We only prove (iii)(iv): fix in and define a conjugate linear functional by
[TABLE]
By (iii) one concludes that is well defined and continuous by norm bound . The Riesz representation theorem yields then a unique representing vector such that
[TABLE]
It is easy to check that is linear and that . Our only duty is to prove that is continuous. Take and , then for any
[TABLE]
This means that the domain of includes the dense set , hence is closable. By the closed graph theorem we conclude that is continuous.
Observe also that obtained above fulfills conditions (a)-(c) above. Indeed, (a) and (b) are straightforward, and if (ii) holds for some then for and we have by (a). Consequently,
[TABLE]
which implies , hence satisfies (c). Finally, the uniqueness follows easily from (b). ∎
Corollary 2.2**.**
Let be a weak- sequentially complete anti-dual pair. If are positive operators such that , then there is a unique positive contraction such that .*
Proof.
Let stand for the auxiliary Hilbert space obtained by the procedure of Subsection 2.2, with replaced by . Since , we have for every . By Theorem 2.1 there exists a bounded operator , , such that , hence satisfies
[TABLE]
The uniqueness of follows easily from the fact that is dense in . ∎
The following range description of the adjoint operator is similar in spirit to [33], cf. also [29].
Lemma 2.3**.**
Let be an anti-dual pair, a Hilbert space and a weakly continuous linear operator. A vector belongs to the range of if and only if there exists such that
[TABLE]
Proof.
Assume first that for some , then
[TABLE]
hence (i) implies (ii). Conversely, (ii) expresses precisely that the correspondence
[TABLE]
defines a continuous anti-linear functional from to . The Riesz representation theorem yields a vector such that
[TABLE]
Consequently, . ∎
2.4. Linear relations in Hilbert spaces
If are positive operators on the anti-dual pair then we can associate the auxiliary Hilbert spaces with them along the procedure given in Subsection 2.2. The vast majority of the results in this paper relies on some topological properties of a “mapping” sending of into of . In general, this map is not a function (and thus not a bounded operator). Such “multivalued” operators, i.e, linear subspaces of a product Hilbert space are called linear relations. In this subsection we gather some basic notions and results of the theory of linear relations. For a comprehensive treatment on linear relations one may refer to [4] and [18].
A linear relation between two Hilbert spaces and is a linear subspace of the Cartesian product . Accordingly, is called a closed linear relation if it is a closed linear subspace of . If is a linear operator from to then the graph of is a linear relation. Conversely, a linear relation is (the graph of) an operator if and only if implies for every . In other words, a linear relation is an operator if its multivalued part
[TABLE]
is trivial. The domain, kernel and range of a linear relation , denoted by , and , respectively, are defied in the obvious manner. A relation is called closable if its closure is an operator, or equivalently, if
[TABLE]
is trivial. In the sequel, we shall also need the concept of the adjoint of a linear relation. To this aim let us introduce the unitary operator
[TABLE]
from to . The adjoint of a linear relation is given by
[TABLE]
that agrees with the original concept of the adjoint transformation introduced by J. von Neumann if is a densely defined operator. Observe immediately that is always closed such that For a pair of vectors , relation means that
[TABLE]
In a full analogy with the operator case, the domain of the adjoint relation consists of those vectors such that
[TABLE]
holds for some . Furthermore, we have the following useful relations:
[TABLE]
In particular, the adjoint of a densely defined relation is a closed operator and the adjoint of a closable operator is densely defined. Let denote the orthogonal projection of onto . The regular part of is defined to be the linear relation
[TABLE]
Actually, it can be proved that is a closable operator and its closure satisfies
[TABLE]
see [18]*Theorem 4.1 and Proposition 4.5. In particular, the regular part of a closed linear relation is itself closed.
3. Lebesgue decomposition theorem for positive operators
Modeled by the Lebesgue–Radon–Nikodym theory of positive operators on a Hilbert space (see e.g. [2] or [36]) we can introduce the concepts of absolute continuity and singularity of positive operators on an anti-dual pair. Let and be positive operators on an anti-dual pair . We say that is absolutely continuous with respect to (in notation, ) if for any sequence of ,
[TABLE]
imply . On the other hand, we say that and are mutually singular (in notation, ) if and imply for any positive operator .
The main purpose of this section is to establish an extension of Ando’s Lebesgue decomposition theorem [2]Theorem 1. This states that every positive operator on a weak- sequentially complete anti-dual pair admits a decomposition where and . Before passing to the proof, let us make a few remarks.
The following constraction is analogous to the one developed in [36]. Let us consider the Hilbert spaces and the linear operators , associated with and , respectively. Introduce the closed linear relation
[TABLE]
from to , and denote its multivalued part by :
[TABLE]
According to what has been said in Subsection 2.4, is a closed linear subspace of and one easily verifies that
[TABLE]
It is easy to check that if and only if is a closed operator, or equivalently, if . Furthermore, since , the adjoint relation is always a single-valued operator from to such that
[TABLE]
The next lemma describes the domain of :
Lemma 3.1**.**
For a vector the following assertions are equivalent:
- (i)
, 2. (ii)
there exists such that for all , 3. (iii)
.
In any case,
[TABLE]
Proof.
The equivalence between (i) and (ii) is clear due to (2.7) and the equivalence between (ii) and (iii) follows from Lemma 2.3. Finally, for and we have
[TABLE]
that proves (3.4). ∎
Let stand for the orthogonal projection of onto and set
[TABLE]
Since is the regular part (2.9) of , [18]*Theorem 1 and identity (2.10) yield the following result:
Proposition 3.2**.**
* is a densely defined closed linear operator between and such that*
[TABLE]
We can now prove our main result that establishes a Lebesgue-type decomposition theorem for positive operators on a weak-* sequentially complete anti-dual pair:
Theorem 3.3**.**
Let be positive operators on a weak- sequentially complete anti-dual pair . Let stand for the the orthogonal projection of onto , then*
[TABLE]
are positive operators such that , is -absolutely continuous and is -singular. Furthermore, is the greatest element of the set of those positive operators such that and .
Proof.
It is clear that are positive operators such that . In order to prove absolute continuity of , we observe that
[TABLE]
for , hence is -absolutely continuous according to Proposition 3.2.
Our next claim is to show the maximality of . Let us consider a positive operator such that and . By Corollary 2.2, there is a unique positive operator , , such that . In particular we have
[TABLE]
We claim that
[TABLE]
For let and consider a sequence of such that
[TABLE]
By continuity, , and by -absolute continuity,
[TABLE]
whence . This proves (3.7). Let now . By (3.7), . Consequently,
[TABLE]
whence , as it is stated.
Finally, in order to prove that that and are mutually singular, let be a positive operator such that and . Then so that is -absolutely continuous. By the maximality of we conclude that , i.e., . ∎
Remark 3.4*.*
Observe that
[TABLE]
for any in , whence we obtain yet another useful factorization of the absolute continuous part:
[TABLE]
We close the section with an interesting property of the absolute continuous part. Suppose that are positive operators and let be the Lebesgue decomposition of with respect to in virtue of to Theorem 3.3, i.e.,
[TABLE]
and . Here we have . Interchanging the roles of and , by the same process we may take the Lebesgue decomposition of with respect to , namely, . We shall prove that the absolutely continuous parts and are absolutely continuous with respect to each other, i.e., and . This surprising property was discovered by T. Titkos in context of nonnegative forms [42] and measures [44]. Theorem 3.6 below is not only a generalization of this fact, it also reproves these results with a completely different technique.
Lemma 3.5**.**
Let and be Hilbert spaces and let be a closed linear relation between them and denote by and the orthogonal projections onto and , respectively. Then
[TABLE]
is (the graph of) a one-to-one closed operator.
Proof.
It is easy to see that and that , furthermore the regular part of a closed linear relation is closed itself, hence
[TABLE]
is a one-to-one closed operator. ∎
Theorem 3.6**.**
Let be a weak- sequentially anti-dual pair and let be positive operators. Then we have*
[TABLE]
Proof.
Let us continue to write for the orthogonal projection onto and let be the orthogonal projection onto . Then, according to the preceding lemma,
[TABLE]
is (the graph of) a one-to-one closed linear operator from to . Since we have , it follows that
[TABLE]
Consider a sequence in such that and , then in and for some . Since is closable it follows that and hence that , thus . A very similar reasoning shows that , but this time the closability of is used. ∎
Remark 3.7*.*
We have only proved that the canonical absolute continuous parts and have the property of being mutually absolute continuous. As we shall see, the Lebesgue decomposition is not unique in general, so there might exist other Lebesgue-type decompotitions differing from what we have constructed in Theorem 3.3. The statement of Theorem 3.6 is certainly not true for the absolutely continuous parts of such Lebesgue decompositions.
4. The parallel sum
Ando’s key notion in establishing his Lebesgue-type decomposition theorem was the so called parallel sum of two positive operators. Inspired by his treatment, Hassi, Sebestyén, and de Snoo [19] proved an analogous result for nonnegative Hermitian forms by means of the parallel sum as well. Parallel addition may also be defined in various areas of functional analysis, e.g. for measures, representable positive functionals on a ∗-algebra, and for positive operators from a Banach space to its topological anti-dual, see [35, 39, 43]. In what follows we provide a common generalization of those concepts.
The parallel sum of two bounded positive operators on a Hilbert space can be introduced in various ways, see eg. [1, 15, 27, 24], cf. also [11, 3]. Its quadratic form can be obtained via the formula
[TABLE]
that uniquely determines the operator . Therefore, it seems natural to introduce the parallel sum of two positive operators in the anti-dual pair context as an operator whose quadratic form is (4.1) (the inner product replaced by anti-duality, of course).
The existence of such an operator is established in the following result:
Theorem 4.1**.**
Let be a weak- sequentially complete anti-dual and let be positive operators. There exists a unique positive operator , called the parallel sum of and , such that*
[TABLE]
Proof.
Let us consider the product Hilbert space and the weakly continuous operator arising from the densely defined one
[TABLE]
A straightforward calculation shows that the adjoint fulfills
[TABLE]
Consider the orthogonal projection of onto . The positive operator satisfies then
[TABLE]
Hence fulfills (4.2). ∎
In the next proposition we collected some basic properties of parallel addition:
Proposition 4.2**.**
Let be a weak- sequentially complete anti-dual pair and let be positive operators. Then*
- (a)
, 2. (b)
* and ,* 3. (c)
* and imply .*
Proof.
Replacing by in (4.2) yields
[TABLE]
that gives just (a). Properties (b) and (c) are immediate from (4.2). ∎
Note that the definition of the parallel sum shows some asymmetry in and , although we have . If we define by
[TABLE]
then we will get and hence
[TABLE]
Lemma 4.3**.**
Let be a weak- sequentially complete anti-dual pair and let be an increasing sequence of positive operators, bounded by a positive operator :*
[TABLE]
Then converges pointwise to a positive operator (i.e., for all ).
Proof.
Since we have
[TABLE]
for every and every integer , it follows that, for every fixed , is a weak Cauchy sequence in . By weak-* sequentially completeness, there is a vector such that weakly. A straightforward calculation shows that the pointwise limit is a positive (hence weakly continuous) operator such that . ∎
We are going to use this result in the following situation: let be positive operators on the weak-* sequentially complete anti-dual pair . Letting , we have
[TABLE]
by Proposition 4.2. Lemma 4.3 tells us that the limit
[TABLE]
defines a positive operator such that . Our next claim in what follows is to show that coincides with the -absolutely continuous part of :
[TABLE]
To establish the last claim let us introduce the following linear subspaces of for every positive number as follows:
[TABLE]
and denote by the orthogonal projection onto . With the aid of the ’s we provide useful factorizations for .
Proposition 4.4**.**
Let be positive operators on the weak- sequentially complete anti-dual pair and let and as above. Then*
[TABLE]
Proof.
For every and we have
[TABLE]
which proves the first identity. The second one is proved by the same argument:
[TABLE]
as it is claimed. ∎
The proof of identity relies on the ensuing lemma:
Lemma 4.5**.**
Let be positive operators and let be the orthogonal projection of onto . Then in the strong operator topology.
Proof.
We proceed in three steps. First we prove that
[TABLE]
To this aim take . Since , we obtain by Proposition 4.4 that
[TABLE]
The sequence is uniformly bounded, hence (4.7) follows by standard density arguments.
Our next claim is to show
[TABLE]
for every integer . First observe that and hence is -absolutely continuous. We have on the other hand, so by Theorem 3.3. That yields
[TABLE]
Hence, by density, for all . This implies (4.8).
In the final step of the proof we show that
[TABLE]
Since , it suffices to prove (4.9) for because of uniform boundedness. Consider . According to Lemma 3.1 there is such that
[TABLE]
Consequently,
[TABLE]
The proof is complete. ∎
We can now prove the following result:
Theorem 4.6**.**
Let be positive operators on the weak- sequentially complete anti-dual pair , then*
[TABLE]
In other words, is identical with the -absolutely continuous part of .
Proof.
By Lemma 4.5 we infer that
[TABLE]
that is, . ∎
5. Characterizations of absolute continuity
It is clear from Theorem 3.3 that a positive operator is absolutely continuous with respect to the positive operator if and only if is identical with its -absolutely continuous part . In the light of this, Theorem 4.6 yields yet another characterization absolute continuity, namely, if and only if
[TABLE]
In particular, every -absolutely continuous operator on a weak-* sequentially complete anti-dual pair can be obtained as the pointwise limit of a monotone increasing sequence such that for some nonnegative sequence . For positive operators on a Hilbert space, Ando [2] introduced the concept of being absolutely continuous just by this property. Adopting the rather expressive terminology of [19], such a positive operator will be called “almost dominated” by .
In the first result of this section we are going to show that almost dominated operators are just the absolutely continuous ones:
Theorem 5.1**.**
Let be positive operators on the weak- sequentially anti-dual pair . The following conditions are equivalent:*
- (i)
* is absolutely continuous with respect to .* 2. (ii)
* is almost dominated by , that is, there exists a monotone increasing sequence of positive operators in and of positive numbers such that and pointwise on .*
Proof.
Implication (i)(ii) is clear from Theorem 4.6 and from what has been said above. For the converse implication let be a sequence satisfying (ii). By Corollary 2.2, for any integer there is a positive operator , such that . We claim that
[TABLE]
For let , then for every we have
[TABLE]
whence we conclude that by Lemma 2.3. By Lemma 3.1, , that proves (5.1). Since is absolutely continuous precisely when is densely defined, it suffices to prove that the union of ranges of the ’s is dense in , or equivalently,
[TABLE]
To check this identity take , then
[TABLE]
from which we deduce that converges strongly to the identity operator of , and this clearly implies (5.2). ∎
We remark that the existence of a Lebesgue-type decomposition can be proved easily by means of (ii) with an elementary iteration involving parallel addition (see [5] and [45]). Hovewer, the itaration itself does not guarantee the maximality of the resulted absolutely continuous part.
In the rest of the section, our goal is to give a Radon–Nikodym type characterization of absolute continuity. In order to formulate our main result we need some preliminaries.
Let be a weak-* sequentially complete dual pair and consider two positive operators on it. Denote by the corresponding auxiliary Hilbert space, and by the natural embedding operator of into . A straightforward application of Lemma 2.2 gives then two positive contractions such that
[TABLE]
for every . Our first technical lemma gives some characterizations of the absolute continuity in terms of and :
Lemma 5.2**.**
The following assertions are equivalent:
- (i)
* is absolutely continuous with respect to ,* 2. (ii)
, 3. (iii)
**
Proof.
Assume first that is -absolutely continuous. If , then there exists a sequence in so that in and . It is clear that , hence
[TABLE]
because of absolute continuity. Thus (i) implies (ii). The converse implication goes similar: assume that and consider a sequence so that and that . Clearly, is a Cauchy sequence in and its limit belongs to . This yields
[TABLE]
thus . It remains to show that (iii) implies (ii) (the backward implication being trivial). That will follow apparently if we show that
[TABLE]
holds for arbitrary and . To this end, take , , and choose a sequence such that
[TABLE]
and choose another sequence such that
[TABLE]
Both the sequences and are bounded, hence
[TABLE]
which proves (5.3). ∎
Now we can prove the main result of this section:
Theorem 5.3**.**
Let be a weak- sequentially complete anti-dual pair let be positive operators. The following are equivalent:*
- (i)
* is absolutely continuous with respect to , * 2. (ii)
for every there exists a sequence in such that
[TABLE]
and the convergence is uniform on the set .
Proof.
Recall that is -absolutely continuous precisely if is (the graph of) a closable operator, or equivalently, if is dense in . Hence, if then for every vector there is a sequence in such that , Furthermore, by density, we can find a sequence in such that for each . Hence
[TABLE]
The choice with an arbitrary gives that (i) implies (ii). Let us prove now the backward implication: let and choose according to (ii). Since is dense in , it follows that
[TABLE]
We see therefore that , and hence . Lemma 5.2 completes the proof. ∎
6. Characterizations of singularity
This section is devoted to some characterizations of singularity. Note that the original definition of singularity is rather algebraic as depending on the ordering induced by positivity. Below we are going to provide some further equivalent characterizations which reflect some geometric and metric features of singularity. For analogous results see [2, 18, 39].
Theorem 6.1**.**
Let be a weak- sequentially complete anti-dual pair and let be positive operators on it. The following assertions are equivalent:*
- (i)
* and are mutually singular,* 2. (ii)
** 3. (iii)
the set is dense in , 4. (iv)
* is the only vector in such that for every in , * 5. (v)
** 6. (vi)
, 7. (vii)
for every in there is a sequence such that
[TABLE]
Proof.
Since and , (i) implies (ii). Assume (ii), then
[TABLE]
where is the orthogonal projection of onto . That gives for every . Since is dense in it follows that
[TABLE]
hence (ii) implies (iii). That (iii) implies (ii) is clear from identity . Observe furthermore that
[TABLE]
hence implies for each , and we have therefore by Theorem 4.6. This means that in the view of Theorem 3.3, hence . This proves that (ii) implies (i). The equivalence between (iv), (v), (vi) is clear from Lemma 3.1 and identity (3.3). Supposing (v) we have and hence and hence by Theorem 3.3. Conversely, if and are mutually singular then, as it has been shown above, for each and thus . Consequently, for every and therefore by density. Hence (i) implies (v). We see therefore that (i)-(vi) are equivalent. Finally, suppose (iii) and fix , then there is a sequence such that in , which clearly implies and , hence (iii) implies (vii). Conversely, if we assume (vii) then we have that the dense set is included in , hence . This means that (vii) implies (v). ∎
As an immediate consequence we conclude that absolute continuity and singularity are complementary notions in some sense:
Corollary 6.2**.**
Let be a positive operator on the weak- sequentially complete anti-dual pair . Then is the unique positive operator which is simultaneously -absolutely continuous and -singular. In other words, and imply .*
7. Uniqueness of the decomposition
It was pointed out by Ando [2] that the Lebesgue decomposition among positive operators on an infinite dimensional Hilbert space is not unique. Since anti-dual pairs are even more general, we expect the same in our case. The reason why non-uniqueness occurs in the non-commutative integration theory is that absolute continuity is not hereditary: and do not imply . In fact, it may even happen that and . More explicitly, we have the following result:
Proposition 7.1**.**
Let be positive operators on the weak- sequentially anti-dual pair . Suppose that is -absolutely continuous but not -dominated, i.e., there is no such that . Then there is a non-zero positive operator such that .*
Proof.
By assumption, is a densely defined closed and unbounded operator between and , hence is a proper dense subspace of . Choose a vector and denote by the orthogonal projection onto the one-dimensional subspace generated by . Set , then clearly . We claim that , which is equivalent to by Theorem 6.1. To see this we observe first that because of Theorem 2.1, namely,
[TABLE]
Suppose belongs to , which means that , according to Lemma 3.1. Since we have , it follows that and , accordingly. ∎
The next result gives a complete characterization of uniqueness of the Lebesgue decomposition. We mention that this is a direct generalization of Ando’s uniqueness result [2]*Theorem 6. We also refer the reader to [20]*Theorem 7.8 and [19]*Theorem 4.6.
Theorem 7.2**.**
Let be a weak- sequentially complete anti-dual pair and let be positive operators. The following statements are equivalent:*
- (i)
the Lebesgue-decomposition of into -absolutely continuous and -singular parts is unique, 2. (ii)
* is closed,* 3. (iii)
* is norm continuous between and ,* 4. (iv)
* for some ,* 5. (v)
.
Proof.
We start by proving that (i) implies (ii). Suppose therefore that is not closed and consider a unit vector . Denote by the orthogonal projection onto the one dimensional subspace spanned by . Then is a projection and
[TABLE]
are positive operators from to such that . Clearly, and . We claim that and . Since the map
[TABLE]
defines a closable operator between and , it follows that is closable too. Indeed,
[TABLE]
and it is known that a dense subspace of a Hilbert space is dense in every finite co-dimensional subspace. Consequently, is densely defined and hence is closable. A straightforward calculation shows that
[TABLE]
whence it follows that . To check that we argue as in the proof of Proposition 7.1. First we observe that by Theorem 2.1. Furthermore, if then , according to Lemma 3.1. But we have , hence . Consequently, , and therefore . Summing up, is a Lebesgue decomposition of with respect to that differs from the canonical Lebesgue decomposition , i.e., the Lebesgue decomposition is not unique.
To prove that (ii) implies (iii) assume that is a closed subspace of , then is bounded by the closed graph theorem. The same holds true for . If is bounded, then from (3.8) we conclude that , and therefore with . Hence (iii) implies (iv). Note that (iv) is equivalent to in virtue of Theorem 2.1, hence (iv) and (v) are equivalent. Assume finally (iv) and let be any Lebesgue decomposition of with respect to , where and . By Theorem 3.3, , hence . Consequently, and , and therefore by singularity. This means that and , proving that the Lebesgue decomposition is unique. The proof is complete. ∎
Below we give a sufficient condition on an operator such that the -Lebesgue decomposition of every operator be unique.
Lemma 7.3**.**
Let be a positive operator on a weak- sequentially complete anti-dual pair . The following assertions are equivent:*
- (i)
* is weak-* sequentially closed in ,* 2. (ii)
* is a Hilbert space under the inner product .*
Proof.
Assume first that is weak-* sequentially closed in . We are going to show that . It suffices to show that coincides with its restriction to . That will be obtained by showing that and . The first inclusion is clear because is injective:
[TABLE]
The second range inclusion follows from the fact that is contained in the weak-* sequential closure of the range of in , that is identical with by (i). This proves that (i) implies (ii). Assume conversely that and let belong to the weak-* sequential closure of in . Choose a sequence such that
[TABLE]
For every let us define a continuous conjugate linear functional by
[TABLE]
Then converges pointwise to some bounded conjugate linear functional , because of the Banach–Steinhaus theorem. By the Riesz representation theorem, there exists such that , , and therefore
[TABLE]
Consequently, . ∎
Theorem 7.4**.**
Let be a positive operator on a weak- sequentially complete anti-dual pair . If the range of is weak-* sequentially closed then every positive operator admits a unique Lebesgue decomposition with respect to .*
Proof.
According to the preceding lemma, is complete under the inner product , i.e., . The closed operator is everywhere defined on and thus bounded by the closed graph theorem. The Lebesgue decomposition of with respect to is unique by Theorem 7.2. ∎
8. Applications
To conclude the paper we apply the developed decomposition theory to some concrete objects including Hilbert space operators, Hermitian forms, representable functionals, and additive set functions.
8.1. Positive operators on Hilbert spaces
Let be a complex Hilbert space with inner product , then forms a anti-dual pair with . An immediate application of the Banach–Steinhaus theorem shows that is weak-* sequentially complete, thus everything what has been said so far remains valid for and the positive operators on it.
We shortly summarize Ando’s main results [2]*Theorem 2 and 6 in a statement. The proof follows immediately from Theorem 3.3, 5.1 and 7.2.
Theorem 8.1**.**
Let be bounded positive operators on a complex Hilbert space and let where the limit is taken in the strong operator topology and let . Then
[TABLE]
is a Lebesgue-type decomposition, i.e., is -absolutely continuous and is -singular. is maximal among those positive operators such that and . The Lebesgue decomposition (8.1) is unique if and only if for some constant .
8.2. Nonnegative forms.
Let be a complex vector space and let , be nonnegative Hermitian forms on it. Let us denote by the algebraic dual space of , then forms a weak-* sequentially complete anti-dual pair and
[TABLE]
define two positive operators . We recall that the form is called -almost dominated if there is a monotonically nondecreasing sequence of forms such that for some and pointwise. Similarily, is called -closable if for every sequence of such that and it follows that .
It is immediate to conclude that the form is -closable if and only if the operator is -absolutely continuous. Similarly, is -almost dominated precisely when is -almost dominated. Consequently, from Theorem 5.1 it follows that the notions of closability and almost dominatedness are equivalent (cf. also [19]*Theorem 3.8). The map between nonnegative hermiatian forms and positive operators on is a bijection, so from Theorem 3.3 and 7.2 we conclude the following result (see [19]*Theorem 2.11 and 4.6):
Theorem 8.2**.**
Let be nonnegative Hermitian forms on a complex vector space and let , and . Then
[TABLE]
is a Lebesgue-type decomposition of with respect to , i.e., is -absolutely continuous and is -singular. Furthermore, is maximal among those forms such that and . The Lebesgue decomposition (8.2) is unique if and only if for some constant .
8.3. Representable functionals.
Let be a ∗-algebra (with or without unit), i.e., an algebra endowed with an involution. A functional is called representable if there is a triple such that is a Hilbert space, and is a *-algebra homomorphism such that
[TABLE]
A straightforward verification shows that every representable functional is positive hence the map defined by
[TABLE]
is a positive operator. (Note however that not every positive operator arises from a representable functional in the above way.) Denote by the corresponding auxiliary Hilbert space. It is easy to show that , is a *-homomorphism, where the bounded operator arises from the densely defined one given by
[TABLE]
It follows from the representability of that , , for some constant and hence
[TABLE]
defines a continuous linear functional from to . The corresponding representing functional satisfies
[TABLE]
and admits the useful property . It follows therefore that
[TABLE]
Let be another representable functional on . We say that is -absolutely continuous if for every sequence of such that and it follows that . Furthermore, and are singular with respect to each other if is the only representable functional such that and .
Denote by be the positive operator associated with and let the corresponding GNS-triplet obtained along the above procedure. Let us introduce and as in Section 3. Then and are both -invariant, so
[TABLE]
are representable functionals on such that
[TABLE]
It is clear therefore that and . If has a unit element then the absolutely continuous and singular parts can be written in a much simpler form:
[TABLE]
After these observations we can state the corresponding Lebesgue decomposition theorem of representable functionals [38]*Theorem 3.3; cf. also [17]*Corollary 3 and [40]*Theorem 3.3:
Theorem 8.3**.**
*Let be representable functionals on the -algebra , then and are representable functionals such that , where is -absolutely continuous and is -singular. Furthermore, is is maximal among those representable functionals such that and .
Finally we note that not every positive operator arises from a representable functional, hence the question of uniqueness of the Lebesgue decomposition cannot be answered via Theorem 7.2. For a detailed discussion of this delicate problem we refer the reader to [40].
8.4. Finitely additive and -additive set functions
Let be a non-empty set and be an algebra of sets on . Let be a non-negative finitely additive measure and denote by the unital *-algebra of -measurable functions, then induces a positive operator by
[TABLE]
We notice that we can easily recover from , namely
[TABLE]
However, not every positive operator induces a finitely additive measure, as it turns out from the next statement.
Proposition 8.4**.**
If is a positive operator then (8.5) defines an additive set function if and only if
[TABLE]
Proof.
The “only if” part of the statement is clear. For the converse suppose that satisfies (8.6). For every two disjoint sets we have
[TABLE]
proving the additivity of . ∎
Assume that we are given another nonnegative additive set function on , then is called absolutely continuous with respect to if for each there exists some such that and imply . Furthermore, and are mutually singular if is the only nonnegative additive set function such that and .
Our claim is to prove that the Lebesgue decomposition of with respect to can also be derived from that of the induced positive operators. To this aim we note first that singularity of and obviously implies the singularity of and . It is less obvious that -absolute continuity of implies the -absolute continuity of (cf. also [37]*Lemma 3.1). To see this consider a sequence of such that . Clearly,
[TABLE]
Since , the sequence is bounded in , and for every ,
[TABLE]
Consequently, weakly in , and hence in with respect to the weak-* topology . This implies that
[TABLE]
hence .
Theorem 8.5**.**
Let be nonnegative additive set functions. There exist two nonnegative additive set functions such that , where is -absolutely continuous and is -singular.
Proof.
Consider the -Lebesgue-decomposition of the corresponding induced operators. According to the above observation it suffices to show that (and hence also ) is induced by an additive set function (respectively, ). By Proposition 8.4, this will be done if we prove that
[TABLE]
Set
[TABLE]
so that are representable functionals on . By Theorem 8.3, splits into -absolutely continuous and -singular parts , respectively. By (8.4),
[TABLE]
This obviously gives (8.7). ∎
Finally, assume that is a -algebra and are finite measures on . By Theorem 8.5 there exist two nonnegative (finitely) additive set functions such that where and . Note that both functions are dominated by the measure , hence are forced to be -additive. This fact leads us the Lebesgue decomposition of measures:
Corollary 8.6**.**
If are finite measures on a -algebra then there exist two measures such that , where is -absolutely continuous and is -singular.
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