Interpolation between $L_0({\mathcal M},\tau)$ and $L_\infty({\mathcal M},\tau)$
J. Huang, F. Sukochev

TL;DR
This paper demonstrates that symmetrically Δ-normed operator spaces associated with semifinite von Neumann algebras serve as interpolation spaces between $L_0$ and the algebra itself, with applications to ${ m K}$-functional and monotonicity properties.
Contribution
It establishes that these operator spaces are interpolation spaces between $L_0$ and the algebra, contrasting with classical results, and explores ${ m K}$-functional and monotonicity in this context.
Findings
Symmetrically Δ-normed operator spaces are interpolation spaces between $L_0$ and the algebra.
The ${ m K}$-functional of an operator coincides with that of its singular value function.
The pair $(L_0( au), ext{algebra})$ is ${ m K}$-monotone in non-atomic finite factors.
Abstract
Let be a semifinite von Neumann algebra with a faithful semifinite normal trace . We show that the symmetrically -normed operator space corresponding to an arbitrary symmetrically -normed function space is an interpolation space between and , which is in contrast with the classical result that there exist symmetric operator spaces which are not interpolation spaces between and . Besides, we show that the -functional of every coincides with the -functional of its generalized singular value function . Several applications are given, e.g., it is shown that the pair is -monotone when…
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Interpolation between and
J. Huang
School of Mathematics and Statistics, University of New South Wales, Kensington, 2052, NSW, Australia *E-mail :*[email protected]
and
F. Sukochev
School of Mathematics and Statistics, University of New South Wales, Kensington, 2052, NSW, Australia *E-mail :*[email protected]
Abstract.
Let be a semifinite von Neumann algebra with a faithful semifinite normal trace . We show that the symmetrically -normed operator space corresponding to an arbitrary symmetrically -normed function space is an interpolation space between and , which is in contrast with the classical result that there exist symmetric operator spaces which are not interpolation spaces between and . Besides, we show that the -functional of every coincides with the -functional of its generalized singular value function . Several applications are given, e.g., it is shown that the pair is -monotone when is a non-atomic finite factor.
Key words and phrases:
interpolation; orbits; -orbits; symmetrically -normed spaces; von Neumann algebras.
2010 Mathematics Subject Classification:
46L10, 46E30, 47A57. Version : .
1. Introduction
Recall the Calkin correspondence between symmetrically -normed operator spaces and symmetrically -normed function spaces introduced in [17]. Let be an arbitrary symmetrically -normed function space equipped with a -norm (see Section 2) and let be an arbitrary semifinite von Neumann algebra equipped with a faithful normal semifinite trace . Then,
[TABLE]
is a symmetrically -normed operator space, where is the space of all -measurable operators affiliated with . Moreover, if is complete, then is also complete (see [17, Theorem 3.8], see also [22, 34] for the Banach case and the quasi-Banach case). For brevity, we omit below the term “operator” and refer just to symmetrically -normed spaces.
Let and be two symmetrically -normed spaces. A symmetrically -normed space is said to be intermediate for and if the continuous embeddings
[TABLE]
hold. Let be a symmetrically -normed space intermediate between and . If every linear operator on which is bounded from to and to is also a bounded operator from to , then is called an interpolation space between the spaces and .
Interpolation function spaces have been widely investigated (see e.g. [1, 2, 18, 23, 31, 4, 3, 26]) since Mityagin [28] and Calderón [5] gave characterizations of the class of all interpolation spaces with respect to (see also [10, 9] for results in the noncommutative setting). Among several real interpolation methods, the K-method of interpolation linked to the so-called -functional is very important (we refer [27, 26, 2, 36] for applications of -functionals in different areas). Calculating the -functionals for a given couple of spaces is very important in the K-method [25]. In [18], the -functionals for the couple and are obtained. We give a description of the -functional of every element in terms of singular value function as well as in terms of its distribution function, showing that the -functional of coincides with the -functional of its generalized singular value function (see Section 2), which extends [18, Proposition 3].
It is well-known (see e.g. [28, 5], see also [23, 12, 9]) that the operator space corresponding to a fully symmetric (see e.g Section 5) function space is an interpolation space between and . In particular, there exist symmetric normed spaces which are not interpolation spaces between and (see [23, Chapter II, 4.2 and 5.7]). However, in this paper, it is shown that if we consider (the set of all -measurable operators having finite-trace support) instead of , then the operator space corresponding to an arbitrary symmetrically -normed function space is necessarily an interpolation space between and , which is a noncommutative version of results in [18] (see also [2]).
As an application of the previous result, we describe the orbits and -orbits for an arbitrary in the last section. It is shown that the unit balls of -orbits do not coincide with the unit balls of orbits in the pair , which generalises [2, Theorem 4]. In [2], it is asserted that the commutative pair is not -monotone, that is, -orbits do not necessarily coincide with orbits in the pair . However, it is known that this assertion is incorrect and is indeed -monotone (see e.g. Section 6). A non-commutative version of this result is established, that is, the pair is -monotone in the setting when is a non-atomic finite factor. We would like to thank Professor Astashkin for providing us with the proof for the commutative pair .
2. Preliminaries
2.1. Generalized singular value functions
In what follows, is a Hilbert space and is the -algebra of all bounded linear operators on , and is the identity operator on . Let be a von Neumann algebra on . For details on von Neumann algebra theory, the reader is referred to e.g. [7], [19, 20] or [37]. General facts concerning measurable operators may be found in [30], [32] (see also [38, Chapter IX] and the forthcoming book [12]). For convenience of the reader, some of the basic definitions are recalled.
A linear operator , where the domain of is a linear subspace of , is said to be affiliated with if for all , where is the commutant of . A linear operator is termed measurable with respect to if is closed, densely defined, affiliated with and there exists a sequence in the logic of all projections of , , such that , and is a finite projection (with respect to ) for all . It should be noted that the condition implies that . The collection of all measurable operators with respect to is denoted by , which is a unital -algebra with respect to strong sums and products (denoted simply by and for all ).
Let be a self-adjoint operator affiliated with . We denote its spectral measure by . It is well known that if is a closed operator affiliated with with the polar decomposition , then and for all projections . Moreover, if and only if is closed, densely defined, affiliated with and is a finite projection for some . It follows immediately that in the case when is a von Neumann algebra of type or a type factor, we have . For type von Neumann algebras, this is no longer true. From now on, let be a semifinite von Neumann algebra equipped with a faithful normal semifinite trace .
An operator is called -measurable if there exists a sequence in such that and for all . The collection of all -measurable operators is a unital -subalgebra of denoted by . It is well known that a linear operator belongs to if and only if and there exists such that . Alternatively, an unbounded operator affiliated with is -measurable (see [14]) if and only if
[TABLE]
Definition 2.1**.**
Let a semifinite von Neumann algebra be equipped with a faithful normal semi-finite trace and let . The generalized singular value function of the operator is defined by setting
[TABLE]
An equivalent definition in terms of the distribution function of the operator is the following. For every self-adjoint operator setting
[TABLE]
we have (see e.g. [14])
[TABLE]
Consider the algebra of all Lebesgue measurable essentially bounded functions on . Algebra can be seen as an abelian von Neumann algebra acting via multiplication on the Hilbert space , with the trace given by integration with respect to Lebesgue measure It is easy to see that the algebra of all -measurable operators affiliated with can be identified with the subalgebra of the algebra of Lebesgue measurable functions which consists of all functions such that is finite for some . It should also be pointed out that the generalized singular value function is precisely the decreasing rearrangement of the function (see e.g. [23]) defined by
[TABLE]
The two-sided ideal in consisting of all elements of -finite rank is defined by setting
[TABLE]
For convenience of the reader we also recall the definition of the measure topology on the algebra . For every we define the set
[TABLE]
The topology generated by the sets , is called the measure topology on [12, 14, 30]. It is well known that the algebra equipped with the measure topology is a complete metrizable topological algebra [30] (see also [29]). A sequence converges to zero with respect to measure topology if and only if \tau\big{(}E^{|X_{n}|}(\varepsilon,\infty)\big{)}\to 0 as for all [12, 11].
2.2. -normed spaces
For convenience of the reader, we recall the definition of -norm. Let be a linear space over the field . A function from to is a -norm, if for all the following properties hold:
- (1)
, ;
- (2)
for all ;
- (3)
;
- (4)
for a constant independent of .
The couple is called a -normed space. We note that the definition of a -norm given above is the same with that given in [21]. It is well-known that every -normed space is metrizable and conversely every metrizable space can be equipped with a -norm [21]. Note that properties and of a -norm imply that for any , there exists a constant such that , in particular, if , then .
Let be a space of real-valued Lebesgue measurable functions on (with identification -a.e.), equipped with a -norm . The space is said to be absolutely solid if and , implies that and An absolutely solid space is said to be symmetric if for every and every , the assumption implies that and (see e.g. [23]).
We now come to the definition of the main object of this paper.
Definition 2.2**.**
Let a semifinite von Neumann algebra be equipped with a faithful normal semi-finite trace . Let be a linear subset in equipped with a -norm . We say that is a symmetrically -normed operator space if and every the assumption implies that and .
One should note that a symmetrically -normed space does not necessarily satisfy
[TABLE]
It is clear that in the special case, when , or , or , the definition of symmetrically -normed operator spaces coincides with definition of the symmetric function (or sequence) spaces. In the case, when and is a standard trace , we shall call a symmetrically -normed operator space introduced in Definition 2.2 a symmetrically -normed operator ideal (for the symmetrically normed ideals we refer to [15, 16, 33]).
As mentioned before, the operator space defined by
[TABLE]
is a complete symmetrically -normed operator space whenever the symmetrically -normed function space equipped with a -norm is complete [17].
3.
By we denote the space of all measurable functions on whose support has finite measure. This space is endowed with the group-norm [18]
[TABLE]
where . It is clearly that the corresponding operator space is the subspace of which consists of all operators such that . It is easy to see that coincides with . For the sake of completeness, we present a brief proof below.
Proposition 3.1**.**
.
Proof.
Since , it suffices to prove . For any operator , there exists such that . By [12, Chapter III, Eq. (4)], we have
[TABLE]
This together with [18, Proposition 3] implies that . Thus, . ∎
In [18, Proposition 3], the description of the -functional (which is a -norm on ) , , of any is given in terms of its distribution function and its singular value function. That is, for every , we have
[TABLE]
Similarly, for every , the -functional is defined by
[TABLE]
In particular, we define a -norm (see e.g. Remark 3.4) on by
[TABLE]
for any . The following result complements an earlier result from [9] for the pair .
Proposition 3.2**.**
For every , we have
[TABLE]
In particular, . Moreover, is a complete -normed space with respect to the -norm for every .
Proof.
Firstly, for every , we have
[TABLE]
Conversely, for every with and , by [12, Chapter III, Proposition 2.20], we have
[TABLE]
Hence, we obtain
[TABLE]
The fact that is complete with respect with together with [17, Theorem 3.8] implies the completeness of with respect with . ∎
Remark 3.3**.**
Recall that (see e.g. [12, Chapter III, Eq. (4)]). For every , the -functional can be also defined by the formula
[TABLE]
Remark 3.4**.**
It is still unknown whether the Calkin correspondence preserves the constant for an arbitrary symmetrically -normed function space (see [17, 34]). However, it is well-known that , , is an -space (i.e., a complete -normed space with ) and Proposition 3.2 implies that for every , is not only a -norm but also an -norm on . Indeed, for every , by Proposition 3.2, we have
[TABLE]
where we used the fact that for every .
4. An embedding theorem
It is well-known that for every symmetrically normed function space , the corresponding operator space is symmetrically normed [22] and is an intermediate space for the noncommutative pair [11, 12]. In this section, we prove an analogue for the -normed case, that is, every operator space corresponding to a -normed function space is an intermediate space for the noncommutative pair .
Before we proceed to the proof of the embedding theorem, we show that the topology given by is equivalent with the measure topology.
Proposition 4.1**.**
Let be a sequence in . Then, if and only if .
Proof.
By [17, Lemma 2.4], it suffices to show that whenever . By [12, Chapter II, Proposition 5.7], we have for every . By Proposition 3.2, we have , which completes the proof. ∎
Notice that the two-sided ideal in coincides with . For every , we define the group-norm by
[TABLE]
The following embedding theorem is the main result of this section, which extends [18, Theorem 1] to the non-commutative case.
Theorem 4.2**.**
If is a nontrivial symmetrically -normed function space, then
[TABLE]
Moreover, the embeddings are continuous. That is, is an intermediate space between and .
Proof.
Since is not empty, there is a non-zero element . Then, there is a scalar such that . It is clear that , which implies that . Since and is a linear space, it follows that . Hence, .
Let be a sequence such that . For every , we can find an such that for every , we have , that is,
[TABLE]
Hence, and therefore . By the continuity of -norm , we obtain that .
Lemma 2.4 in [17] together with Proposition 4.1 implies that is continuously embedded into . ∎
The set of all self-adjoint elements in is denoted by . Then, [12, Chapter II, Proposition 6.1] together with Proposition 4.1 and Theorem 4.2 implies the following results immediately.
Corollary 4.3**.**
Let is a symmetrically -normed function space. The following statements hold.
- (1)
The positive cone is closed in with respect to . 2. (2)
If is a sequence in and are such that and for all , then . 3. (3)
If is an increasing sequence in and with , then .
5. Interpolation in the pair
Introduce the dilation operator on , , by setting
[TABLE]
It is well-known that , [24]. We note also that with
[TABLE]
for all and (see e.g. [23], see also [18]).
Recall that (see Proposition 3.1). Let be a homomorphism, i.e.,
[TABLE]
for any . Let be a -normed function space. A homomorphism is called continuous if for any given , there exists such that implies that [21, Chapter I, Section 4]. A homomorphism is called bounded if
[TABLE]
The homomorphism is said to be bounded on the pair if is a bounded mapping from into and from into .
Theorem 5.1**.**
Let be a symmetrically -normed function space and be a homomorphism which is bounded on with
[TABLE]
[TABLE]
for some constants . Then, maps into itself and
[TABLE]
Proof.
For any with , we have . By [24, Theorem 2.3.13], for every , we have
[TABLE]
By Definition 2.1, we have
[TABLE]
This implies that and therefore, by appealing to (3), we conclude that . ∎
If , then is said to be submajorized by , denoted by , if
[TABLE]
A linear subspace of equipped with a complete norm , is called fully symmetric space (of -measurable operators) if , and imply that and [11, 12, 24].
For a symmetric normed function space , by [12, Theorem 10.13] (see also [9] and [23]), is an interpolation space between and if is fully symmetric. In particular, one can find symmetric normed spaces which are not interpolation spaces between and [23, Chapter II, 5.7]. However, for an arbitrary symmetrically -normed function space , is, in fact, an interpolation space between and .
Corollary 5.2**.**
Let be a symmetrically -normed function space and be a homomorphism which is bounded on with
[TABLE]
[TABLE]
for some constants . Then, is a bounded homomorphism from into itself. In particular, .
Proof.
By Theorem 5.1, for any , we have with
[TABLE]
Let be an integer such that . Noticing that . By (3), we have
[TABLE]
for any .
Then, we get
[TABLE]
where is the integer part of . The proof is complete. ∎
The results in this section are applied to the study of orbits and -orbits in the pair of in the next section.
6. Orbits and -orbits
For an element , the orbit of is the set of all such that for some homomorphism which is bounded on the pair . Furthermore, we define
[TABLE]
where the infimum is taken over all bounded homomorphisms such that and .
By Theorem 5.1, we have the following proposition, which is an analogue of [2, Theorem 1].
Proposition 6.1**.**
Let . Then, for every , we have
[TABLE]
Proof.
Notice for every , we can find a such that with . Then, by (4), we have
[TABLE]
Hence, for every . By the right-continuity of singular value functions, we have
[TABLE]
for every , which completes the proof. ∎
Let be a pair of symmetrically -normed spaces. The -orbit of is defined by the set of all such that
[TABLE]
where .
A pair is called -monotone if for all . The pair is a classical example of a -monotone pair (see e.g. [5]). Moreover, the noncommutative pair is -monotone (see [9, Proposition 2.5, Theorem 4.7]).
It follows from the definition that the unit ball of is a subset of the unit ball of . Moreover, [9, Proposition 2.5 and Theorem 4.7] imply that the the closed unit ball of coincides with the unit ball of . However, it is known that the reverse inclusion may fail for certain element in the pair [2]. One of the main results of this section is a non-commutative version of [2, Theorem 4].
By Proposition 3.2, the -orbit of every is the set of all such that
[TABLE]
Theorem 6.2**.**
If is a non-trivial von Neumann algebra ( and ), then there exist such that
[TABLE]
whereas , , for some measurable set , . In particular, the unit ball of the does not coincide with the unit ball of .
Proof.
Since , there exist two -finite projections such that . Let and .
Let be such that
[TABLE]
Define
[TABLE]
Then, . By (2), we have
[TABLE]
Then, we have
[TABLE]
Define
[TABLE]
Then, . By (2), we have
[TABLE]
However, (8) implies that there is no such a such that . Hence, we have
[TABLE]
That is, . However, it is clear that
[TABLE]
Assume that lies in the unit ball of . By (7)
[TABLE]
which is a contradiction with (9). Hence, lies in the unit ball of but not in the unit ball of . ∎
In [2], it is asserted incorrectly that the . The following proposition together [2, Theorem 1] explains why , i.e., the pair is -monotone. We would like to thank Professor Astashkin for providing the proof for the special case when .
Proposition 6.3**.**
Let . Then, the following statements are equivalent.
- (1)
There exists such that for every . 2. (2)
.
Proof.
(i) For every satisfying condition (1), we have
[TABLE]
which proves the validity of condition (2).
(ii) Conversely, assume that
[TABLE]
for some . For every , we define
[TABLE]
Clearly, we have
[TABLE]
Therefore,
[TABLE]
Let and let (without loss of generality, we may assume that ). Notice that and for any with . We have,
[TABLE]
Let . Then, we have
[TABLE]
(otherwise, we have for some , which is a contradiction to the definition of .).
Since , it follows that
[TABLE]
Then, we obtain
[TABLE]
that is,
[TABLE]
Since is arbitrary taken, it follows that
[TABLE]
for every , which completes the proof. ∎
By the above proposition and [2, Theorem 1], we obtain the following result immediately, which implies that the commutative pair is indeed -monotone.
Corollary 6.4**.**
For every , we have
[TABLE]
It is known that there cannot in general be a conditional expectation from onto a subalgebra of (see e.g. [13, Appendix B]), which is the main obstacle in extending [2, Theorem 1] to the non-commutative case. The following theorem is the last result of this section, giving a non-commutative version of [2, Theorem 1] in the setting of non-atomic finite factors by approaches which are completely different from those used in [2].
For the sake of convenience, we denote by . If is a non-atomic semifinite von Neumann algebra, then for every , there exists a non-atomic commutative von Neumann subalgebra in and a trace-preserving -isomorphism from onto the algebra [6, 8].
Theorem 6.5**.**
If is a non-atomic finite von Neumann factor with a faithful normal finite trace , then for every , is the set of all for which there exists such that
[TABLE]
In particular, .
Proof.
(i) It follows from Proposition 6.1 that for every , there exists such a satisfying (14).
(ii) Conversely, assume that satisfies (14).
Then, by [6, Lemma 1.3], there are isomorphisms between and such that and between and such that .
Then, by (14), we have
[TABLE]
for every . Without loss of generality, we can assume that is an integer which is large enough such that
[TABLE]
for every .
Let . Since , we can define , , by
[TABLE]
For every , we set
[TABLE]
By [6, Lemma 1.3], for every , we have
[TABLE]
Since is a finite factor, due to (16), there exist partial isometries such that and . If , we define . In the case when but , we define as the partial isometry such that and .
Denote , (note that and whenever ). Note that every is a partial isometry. Let
[TABLE]
and
[TABLE]
Then, noting that for every , we have
[TABLE]
Since , it follows that and therefore, by (15), we have
[TABLE]
for every (note that the follows immediately from the definitions of and ).
Let and . Here, is the integer part of . Note that (6) implies that is a bounded operator. Clearly, we have and (notice that ). Let and be the polar decompositions. Define a homomorphism by setting
[TABLE]
It is easy to verify that and is a bounded homomorphism on the pair (one should note that operators of multiplication by , , and are bounded homomorphisms on the pair by Corollary 5.2).
The last statement follows immediately from Proposition 6.3. ∎
Remark 6.6**.**
The assumption that is a finite factor plays a crucial role in the above proof. The authors did not succeed in extending the result to the case for general semifinite von Neumann algebras.
Acknowledgements The authors would like to thank Sergei Astashkin and Dima Zanin for helpful discussions.
The first author acknowledges the support of University International Postgraduate Award (UIPA). The second author was supported by the Australian Research Council.
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