When do triple operator integrals take value in the trace class?
Cl\'ement Coine, Christian Le Merdy, Fedor Sukochev

TL;DR
This paper characterizes when triple operator integrals map Hilbert-Schmidt operators into trace class operators using a factorization property, extending Peller's theorem to a bilinear setting.
Contribution
It provides a new characterization of trace class mapping properties of triple operator integrals via a factorization condition, generalizing known results for double integrals.
Findings
Characterization of when triple operator integrals map into trace class operators.
Introduction of a factorization property involving Hilbert space-valued functions.
Extension of Peller's theorem to a bilinear context.
Abstract
Consider three normal operators on separable Hilbert space \H as well as scalar-valued spectral measures on , on and on . For any and any , the space of Hilbert-Schmidt operators on \H, we provide a general definition of a triple operator integral belonging to in such a way that belongs to the space of bounded bilinear operators on , and the resulting mapping is a -continuous isometry. Then we show that a function has the property thatβ¦
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Taxonomy
TopicsHolomorphic and Operator Theory Β· Advanced Harmonic Analysis Research Β· Advanced Operator Algebra Research
When do triple operator integrals take value in the trace class?
Clement Coine
,Β
Christian Le Merdy
Β andΒ
Fedor Sukochev
F.S. : School of Mathematics & Statistics, University of NSW, Kensington NSW 2052, AUSTRALIA
C.C., C.L. : Laboratoire de MathΓ©matiques de BesanΓ§on, UMR 6623, CNRS, UniversitΓ© Bourgogne Franche-ComtΓ©, 25030 BesanΓ§on Cedex, FRANCE
Abstract.
Consider three normal operators on separable Hilbert space as well as scalar-valued spectral measures on , on and on . For any and any X,Y\in S^{2}(\mbox{{\mathcal{H}}}), the space of Hilbert-Schmidt operators on , we provide a general definition of a triple operator integral belonging to S^{2}(\mbox{{\mathcal{H}}}) in such a way that belongs to the space B_{2}(S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}),S^{2}(\mbox{{\mathcal{H}}})) of bounded bilinear operators on S^{2}(\mbox{{\mathcal{H}}}), and the resulting mapping \Gamma^{A,B,C}\colon L^{\infty}(\lambda_{A}\times\lambda_{B}\times\lambda_{C})\to B_{2}(S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}),S^{2}(\mbox{{\mathcal{H}}})) is a -continuous isometry. Then we show that a function has the property that maps S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}) into S^{1}(\mbox{{\mathcal{H}}}), the space of trace class operators on , if and only if it has the following factorization property: there exist a Hilbert space and two functions and such that for a.e. This is a bilinear version of Pellerβs Theorem characterizing double operator integral mappings S^{1}(\mbox{{\mathcal{H}}})\to S^{1}(\mbox{{\mathcal{H}}}). In passing we show that for any separable Banach spaces , any -measurable esssentially bounded function valued in the Banach space of operators from into factoring through Hilbert space admits a -measurable Hilbert space factorization.
1. Introduction
Let be a separable Hilbert space. Let denote the space of Hilbert-Schmidt operators on and let denote the space of trace class operators on . Let be two normal operators on . Any bounded Borel function on gives rise to a double operator integral mapping formally defined as
[TABLE]
where and denote the spectral measures of and , respectively. Double operator integrals were initially defined by Daletskii and Krein [15] and then dramatically developed in a series of papers of Birman-Solomiak [5, 6, 7]. They play a prominent role in various aspects of operator theory, especially in the perturbation theory. We refer the reader to the survey papers [8, 31] and to the book [40] for a large volume of information on this topic and its applications.
In [29], V.V. Peller gave a characterization of double operator integral mappings which restrict to a bounded operator on S^{1}(\mbox{{\mathcal{H}}}). He showed that is a bounded operator from S^{1}(\mbox{{\mathcal{H}}}) into itself if and only there exist a Hilbert space and two functions and such that
[TABLE]
This property means that the operator with kernel factors through Hilbert space. We refer to [29] and [23] for other equivalent formulations.
The purpose of this paper is to study an analogue of Pellerβs Theorem for triple operator integrals. This issue was motivated by a recent work of the authors together with D. Potapov and A. Tomskova on perturbation theory [11]. In this paper the construction of triple operator integral mappings which do not map S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}) into S^{1}(\mbox{{\mathcal{H}}}) played a fundamental role; see also [12] and [36] for related work.
The paper [11] contains the following result on infinite matrices (see Theorems 1, 7 and Corollary 8 in the latter paper). Let be a three-dimensional matrix with entries in . Let denote the standard matrix units. Then the bilinear Schur multiplier formally defined by
[TABLE]
defines a bounded bilinear operator from into if and only if there exist a Hilbert space and two bounded families and in such that
[TABLE]
Triple operator integral mappings can be regarded as (far reaching) extensions of bilinear Schur multipliers, hence the above result serves as a guide for our investigation. In Section 3 we revisit an old construction of Pavlov [27] providing a general definition of triple operator integral mappings
[TABLE]
where are normal operators on , , , are scalar valued spectral measures on the spectra , , , respectively, and . We show in Theorem 4 and Corollary 10 that is an isometry from into B_{2}(S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}),S^{2}(\mbox{{\mathcal{H}}})), the space of bounded bilinear maps from S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}) into S^{2}(\mbox{{\mathcal{H}}}), and that is -continuous (i.e. continuous in the -topologies of the dual spaces and B_{2}(S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}),S^{2}(\mbox{{\mathcal{H}}}))).
Our main result, established in Section 6 (see Theorem 21), asserts that
[TABLE]
if and only if there exist a Hilbert space and two functions
[TABLE]
such that
[TABLE]
In Section 7, we recover Pellerβs Theorem as a special case of the above statement and we compare our triple operator integrals with previous constructions.
Multiple operator integrals are a very active topic at the moment. In addition to the already mentioned papers [11, 12], we refer the reader to [1, 2, 3, 4, 9, 13, 26, 30, 35] for important results, as well as to [40] and the references therein.
The proof of Theorem 21 combines several techniques and intermediate results which are discussed in Sections 2-5. First, the -continuity of plays a crucial role as it allows to reduce various computations to tensor product manipulations. The relevant background on tensor products and duality is provided in Section 2. Second, in order to study the factorization property (1), which is about functions only, we need to develop triple operator integrals associated with functions, in parallel with the construction of . This is achieved in Subsection 3.2. The link between the two constructions, which is fundamental for our purpose, is given in Subsection 3.3 (see Proposition 9). Third, -measurable versions of vector-valued -spaces and Hilbert space factorizations appear naturally in our investigation. Sections 4 and 5 are devoted to these two topics. Our main result, of independent interest, is the following. Let be separable Banach spaces and let be a separable measure space. Let be the space of all bounded linear operators which factor through Hilbert space. This is a dual space (see (7)). We show that if is a -measurable essentially bounded function, then there exist a separable Hilbert space and two -measurable essentially bounded functions and such that
[TABLE]
almost everywhere, for any and .
We end this Introduction with a few notations and conventions. Throughout the paper we will use the notation for the norms on various -spaces, which may be either classical ones or vector valued ones. The notations and will also be used on the spaces of trace class operators and Hilbert-Schmidt operators, respectively (see Subsection 2.3).
Whenever is a set and is a subset we let denote the characteristic function of .
The Hilbertian direct sum of any family (\mbox{{\mathcal{H}}}_{i})_{i\in I} of Hilbert spaces will be denoted by
[TABLE]
Likewise, the notation \mbox{{\mathcal{H}}}\overset{2}{\oplus}\mbox{{\mathcal{K}}} will stand for the Hilbertian direct sum of any two Hilbert spaces and .
Whenever are two Banach spaces, a bounded linear map will be called -continuous when it is continuous with respect to the -topologies of and . This is equivalent to the fact that is the adjoint of a bounded linear map from into . We recall that when a -continuous map is an isometry, then its range is -closed, and induces a -homeomorphism between and its range. The latter is therefore a dual space and is an isometric -homeomorphic identification between the dual spaces and .
2. Preliminaries and background
2.1. Normal operators and scalar-valued spectral measures
We assume that the reader is familiar with the general spectral theory of normal operators on Hilbert space, for which we refer e.g. to [38, Chapters 12 and 13] and [14, Sections 14 and 15]. Let be a separable Hilbert space and let be a (possibly unbounded) normal operator on . We let denote the spectrum of and we let denote the spectral measure of , defined on the Borel subsets of .
By definition a scalar-valued spectral measure for is a positive finite measure on the Borel subsets of , such that and have the same sets of measure zero. Such measures exist, thanks to the separability assumption on . Indeed let
[TABLE]
be the von Neumann algebra generated by the range of . By [14, Corollary 14.6], has a separating vector . It follows that
[TABLE]
is a scalar-valued spectral measure for . (This construction is given in [14, Section 15] for a bounded .)
The Borel functional calculus for takes any bounded Borel function f\colon\sigma(A)\to\mbox{\mathbb{C}} to the bounded operator
[TABLE]
According to [14, Theorem 15.10], it induces a -continuous (=normal) -representation
[TABLE]
As a matter of fact, the space does not depend on the choice of the scalar-valued spectral measure . Without ambiguity, we may write for any .
2.2. Tensor products and duality
We give a brief summary of tensor product formulas to be used in the sequel. Let , and be Banach spaces. We let be the Banach space of all bounded linear operators from into . Then we let be the Banach space of all bounded bilinear operators , equipped with
[TABLE]
If , the projective tensor norm of is defined by
[TABLE]
where the infimum runs over all finite families in and in such that
[TABLE]
The completion of is called the projective tensor product of and .
To any , one can associate a linear map by the formula
[TABLE]
Then is bounded on , with , and hence the mapping gives rise to an isometric identification
[TABLE]
In the case G=\mbox{\mathbb{C}}, this implies that the mapping taking any functional \omega\colon E\otimes F\to\mbox{\mathbb{C}} to the operator defined by for any , induces an isometric identification
[TABLE]
We refer to [18, Chapter 8, Theorem 1 Corollary 2] for these classical facts.
Let be a -finite measure space and let denote the Bochner space of integrable functions from into . By [18, Chapter 8, Example 10], the natural embedding extends to an isometric isomorphism
[TABLE]
By (4), this implies
[TABLE]
Let be Banach spaces. We say that an operator factors through a Hilbert space if there exist a Hilbert space and two operators and such that . We denote by the space of all such operators. For any , define
[TABLE]
where the infimum runs over all factorizations of as above. Then is a norm on and the latter is a Banach space, see e.g. [19] or [32, Chapter 2].
We will make crucial use of the fact that if is a dual space, then is a dual space as well. Indeed assume that for some Banach space . Then there exists a norm on such that if we let denote the completion of , then (4) induces an isometric identification
[TABLE]
See e.g. [33, Theorem 5.3] for a definition of (that we will not use here) and a proof. By construction, the canonical embedding is -continuous.
2.3. Operators on Hilbert spaces and trace duality
Let \mbox{{\mathcal{H}}},\mbox{{\mathcal{K}}} be Hilbert spaces and let be the trace on . We let denote the space of trace class operators , equipped with , where . We recall that the pairing
[TABLE]
induces an isometric identification
[TABLE]
Let denote the space of Hilbert-Schmidt operators , equipped with \|T\|_{2}=\bigl{(}{\rm tr}(|T|^{2})\bigr{)}^{\frac{1}{2}}. Then the above duality pairing also yields an isometric identification
[TABLE]
Given any two Banach spaces , it is customary to identify with the space of bounded finite rank operators from into . Indeed for any and , is identified with the element of taking any to . We apply this principle to Hilbert spaces. We let \overline{\mbox{{\mathcal{K}}}} denote the complex conjugate of and recall the canonical identification \mbox{{\mathcal{K}}}^{*}=\overline{\mbox{{\mathcal{K}}}}. Then we regard as the space of finite rank operators from into . In this identification, for any and , denotes the operator taking any to .
We recall that is both a dense subspace of and .
2.4. Measurable Schur multipliers
Let and be two -finite measure spaces. If , the operator
[TABLE]
is a Hilbert-Schmidt operator and . Further any element of has this form (see e.g. [37, Thm VI. 23]). We summarize these facts by writing an isometric identification
[TABLE]
Let . Thanks to the above identity, we may associate the operator
[TABLE]
whose norm is equal to . We say that is a measurable Schur multiplier if extends to a bounded operator (still denoted by)
[TABLE]
where denotes the space of compact operators from into . The density of Hilbert-Schmidt operators in compact operators ensures that this extension is necessarily unique.
For any , one may define by
[TABLE]
Applying (6) with together with the identity , we obtain an isometric -homeomorphic identification
[TABLE]
A thorough look at this identification reveals that it is given by the mapping . Thus we have
[TABLE]
and any element of is an operator for some (unique) .
The first part of Theorem 1 below is a remarkable characterization of measurable Schur multipliers. In the discrete case it was stated by Pisier in [33, Theorem 5.1] who refers himself to some earlier work of Grothendieck. For the general case considered here we refer to Haagerup [22] and Spronk [41, Section 3.2]. Pellerβs characterization of double operator integral mappings which restrict to a bounded operator S^{1}(\mbox{{\mathcal{H}}})\to S^{1}(H) is closely related to this factorization result. Indeed, Theorem 1 (1) below is implicit in [29].
For the second part of the next result, recall that by (7) and (4),
[TABLE]
are both dual spaces.
Theorem 1**.**
- (1)
[22, 29, 33, 41]** A function is a measurable Schur multiplier if and only if the operator belongs to , and we have
[TABLE]
in this case.
- (2)
Moreover the isometric embedding
[TABLE]
taking any to is -continuous.
Proof.
Let us prove (2). Let and let be a net of such that and the operators belong to for any , is a bounded net in the latter space, and in the -topology of . This implies that in the -topology of (see the comments following (7)). According to (11), this means that in the -topology of .
Let and . For any , is the Hilbert-Schmidt operator associated to the -function , hence
[TABLE]
The right-hand side of this equality is the action of on the -function
[TABLE]
Since -, this implies that
[TABLE]
By linearity, this implies that for any finite rank operator , is the weak operator topology of . Since is a bounded net, is bounded as well. By the density of finite rank operators in , we deduce that for any in the latter space, is the weak operator topology of . Using again the boundedness of , we deduce that in the -topology of B(L^{2}(\Omega_{1}),L^{2}(\Omega_{2})\bigr{)} for any and finally that in the -topology of B\bigl{(}\mathcal{K}(L^{2}(\Omega_{1}),L^{2}(\Omega_{2})),B(L^{2}(\Omega_{1}),L^{2}(\Omega_{2})\bigr{)}. β
3. Triple operator integral mappings
Multiple operator integrals appeared in many recent papers with various definitions, see in particular [1, 2, 3, 4, 30, 35]. In this section we provide a definition of triple operator integrals associated to a triple of normal operators on , based on the construction of a natural -continuous mapping from into B_{2}(S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}),S^{2}(\mbox{{\mathcal{H}}})), see Theorem 4. We will show in Corollary 10 that this mapping is actually an isometry. Further the construction extends to multiple operator integrals, see Proposition 5. It turns out that this construction is equivalent to an old definition of multiple operator integrals due to Pavlov [27]; this will be explained in Remark 7.
In Subsection 3.2, we give an analogue of the construction for functions, in the spirit of Subsection 2.4. Finally in Subsection 3.3, we establish a fruitful connection between triple operator integrals associated with operators and triple operator integrals associated with functions.
3.1. Triple operator integrals associated with operators
Let be a separable Hilbert space and let be (possibly unbounded) normal operators on . Denote by and their spectral measures and let and be scalar-valued spectral measures for , and (see Subsection 2.1).
Let , and be the spaces of simple functions on , and , respectively. We let
[TABLE]
be the unique linear map such that
[TABLE]
for any , and , and for any .
Lemma 2**.**
For all , and for all , we have
[TABLE]
Proof.
Let . There exists a finite family (respectively and ) of pairwise disjoint measurable subsets of (respectively of and ) of positive measures, as well as a family of complex numbers such that
[TABLE]
Then we have
[TABLE]
Let . According to the definition of , we have
[TABLE]
By the pairwise disjointnesses of and , the elements
[TABLE]
are pairwise orthogonal in . Hence
[TABLE]
Applying the Cauchy-Schwarz inequality and (14), we deduce that
[TABLE]
Since the elements are pairwise orthogonal in we have
[TABLE]
Similarly,
[TABLE]
This yields the result. β
We let
[TABLE]
equipped with the -norm, and we let be the canonical map defined by
[TABLE]
This is obviously a contraction.
We claim that is actually an isometry. To check this fact, consider , that we write as a finite sum
[TABLE]
with c_{ijk}\in\mbox{\mathbb{C}}\setminus\{0\} and (respectively and ) being pairwise disjoint measurable subsets of (respectively of and ), with positive measures. Then
[TABLE]
Let be defined by (13), with . Then by (14) and
[TABLE]
Hence we have as expected. Since is dense in , this implies that is an isometry.
According to this property, we now consider as a subspace of .
By (3), (4) and (9), we have isometric identifications
[TABLE]
It is easy to check that the duality pairing providing this identification reads
[TABLE]
for any and any .
We set
[TABLE]
According to Lemma 2, uniquely extends to a contraction
[TABLE]
We can therefore consider , the restriction of to .
Lemma 3**.**
The operator takes its values in the subspace of .
Proof.
Let \mbox{{\mathcal{P}}}=\overline{\mathcal{H}}\otimes\mathcal{H}\otimes\overline{\mathcal{H}}\otimes\mathcal{H}\otimes\overline{\mathcal{H}}\otimes\mathcal{H}. Recall that we identify with the space of finite rank operators on . Then is a dense subspace of . Consequently is a dense subspace of . Since is continuous, it therefore suffices to show that S(\mbox{{\mathcal{P}}})\subset L^{1}(\lambda_{A}\times\lambda_{B}\times\lambda_{C}). Consider in and . Such elements span hence it suffices to check that belongs to . Let , and . We have
[TABLE]
We mentioned that the functional calculus -representation from (2) is -continuous. Thus is the adjoint of some w_{A}\colon S^{1}(\mbox{{\mathcal{H}}})\to L^{1}(\lambda_{A}). Let . Then this element of (which does not depend on ) satisfies
[TABLE]
(A thorough look at the construction of shows that is actually the Radon-Nikodym derivative of the measure with respect to .)
Similarly, there exist and not depending on and such that and . Consequently,
[TABLE]
Since is dense in , this implies that
[TABLE]
β
Theorem 4**.**
There exists a unique -continuous contraction
[TABLE]
such that for any , and , and for any , we have
[TABLE]
Proof.
The uniqueness follows from the -density of in the dual space .
Lemma 3 provides a contraction . Then its adjoint is a contraction from into . We set
[TABLE]
By construction, is -continuous and extends the map defined by (12). Property (15) follows from (12) by -continuity. β
Later on in Corollary 10, we will show that is actually an isometry.
Bilinear maps of the form will be called triple operator integral mappings in this paper. Operators of the form \Gamma^{A,B,C}(\phi)(X,Y)\colon\mbox{{\mathcal{H}}}\to\mbox{{\mathcal{H}}} are called triple operator integrals. As indicated in the Introduction, our goal is to determine the functions for which the triple operator integral mapping maps into .
By similar computations (left to the reader), the above construction can be extended to -tuple operator integrals, for any . One obtains the following statement, in which denotes the space of bounded -linear maps from the product of copies of taking values in .
Proposition 5**.**
Let and let be normal operators on . For any , let be a scalar-valued spectral measure for and let be the space of simple functions on . There exists a unique -continuous contraction
[TABLE]
such that for any and for any , we have
[TABLE]
Remark 6**.**
In the case , the above proposition boils down to the original construction of double operator integrals by Birman-Solomyak. Namely, let be two normal operators on , and let
[TABLE]
be given by Proposition 5. For any , let \mbox{{\mathcal{J}}}(\phi)\colon S^{2}(\mbox{{\mathcal{H}}})\to S^{2}(\mbox{{\mathcal{H}}}) be the operator constructed in [8, Section 3.1] for the spectral measures associated with and . Then coincides \mbox{{\mathcal{J}}}(\phi).
We note for further use that is a -representation of the von Neumann algebra on the Hilbert space S^{2}(\mbox{{\mathcal{H}}}). This is easy to deduce from our definitions; also, this follows from [8, (3.6) and (3.7)].
Remark 7**.**
As indicated in the introduction of this section, the above construction turns out to be equivalent to Pavlovβs definition of multiple operator integrals given in [27]. Let us briefly review Pavlovβs construction from [27], and explain this βequivalenceβ. In this remark, we use terminology and references from [18, Chapter 1].
Let and consider normal operators as in Proposition 5. Fix operators in . Let and consider the set consisting of finite unions of subsets of of the form
[TABLE]
where, for any is a Borel subset of .
There exists a (necessarily unique) finitely additive vector measure m\colon\mathcal{F}\to S^{2}(\mbox{{\mathcal{H}}}) such that
[TABLE]
for any as above.
Pavlov first shows that is a measure of bounded semivariation and then proves that is actually countably additive (see [27, Theorem 1]). Let be the -field generated by . Since S^{2}(\mbox{{\mathcal{H}}}) is reflexive, it follows from [18, Chapter 1, Section 5, Theorem 2] that has a (necessarily unique) countably additive extension \widetilde{m}\colon\mbox{{\mathcal{T}}}\to S^{2}(\mbox{{\mathcal{H}}}). Moreover is a measure of bounded semivariation. Then using the fact that for all , is a scalar-valued spectral measure for , one can show that
[TABLE]
on . This implies that and hence, for any , one may define an integral
[TABLE]
See [18, Chapter 1, Section 1, Theorem 13] for details. This element is defined in [27] as the multiple operator integral associated to and .
We claim that this construction is equivalent to the one given in the present paper, namely
[TABLE]
To check this identity, let w_{1},w_{2}\colon L^{\infty}(\lambda_{A_{1}}\times\lambda_{A_{2}}\times\cdots\times\lambda_{A_{n}})\to S^{2}(\mbox{{\mathcal{H}}}) be defined by and . For any Z\in S^{2}(\mbox{{\mathcal{H}}}), the functional of taking to \Bigl{\langle}\int_{\Omega}\phi(t)\,\text{d}\widetilde{m}(t)\,,Z\Bigr{\rangle} induces a countably additive measure on , which is absolutely continuous with respect to . By the Radon-Nikodym Theorem it is represented by an element of . Hence maps S^{2}(\mbox{{\mathcal{H}}}) into . This implies that is -continuous. We know that is -continuous as well, by Proposition 5. Further it is easy to derive from (16) that and coincide on \mbox{{\mathcal{E}}}_{1}\otimes\cdots\otimes\mbox{{\mathcal{E}}}_{n}. These properties imply the equality as claimed.
3.2. Triple operator integrals associated with functions
Let and be three -finite measure spaces, and let . For any and , the function
[TABLE]
is a well-defined element of with -norm less than . Indeed, by the Cauchy-Schwarz inequality, we have
[TABLE]
Thus is a bounded bilinear map from into . By the isometric identification between and given by (10), and their analogues for and , we may consider that we actually have a bounded bilinear map
[TABLE]
In Section 6 we will characterize the functions for which maps into the trace class .
Let . Arguing as in the preceding subsection, we obtain an isometric identification
[TABLE]
for the duality pairing given by
[TABLE]
for any bounded bilinear and for any , and .
The following is an analogue of Theorem 4 for the present setting.
Proposition 8**.**
The mapping
[TABLE]
defined above is a -continuous isometry.
Proof.
Write for brevity. Consider three functions , and . It follows from the computation at the beginning of the present subsection that
[TABLE]
is square integrable. Consequently, the function
[TABLE]
belongs to . Further if , and denote the Hilbert-Schmidt operators associated with , and , respectively, then it follows from above that
[TABLE]
for any . This readily implies that is -continuous.
We already showed that is a contraction, let us now prove that it is an isometry. Let , with . We aim at showing that . There exist a function such that and . By the density of simple functions in , we may assume that
[TABLE]
where (respectively and ) is a finite family of pairwise disjoint measurable subsets of (respectively of and ) and m_{ijk}\in\mbox{\mathbb{C}} for any . Let be defined by
[TABLE]
For any , we have
[TABLE]
This implies that
[TABLE]
and hence that . Now observe that by the definition of the projective tensor product (see Subsection 2.2), we have
[TABLE]
Moreover,
[TABLE]
Likewise, and . We deduce that
[TABLE]
The right-hand side of this inequality is nothing but the -norm of . Thus we have proved that . This implies that as expected. β
3.3. Passing from operators to functions
Let be a separable Hilbert space and let and be normal operators on . We keep the notations from Subsection 3.1. We associate the three measure spaces
[TABLE]
and consider the mapping defined in Subsection 3.2 for these three measure spaces. It maps into
[TABLE]
The main purpose of this subsection is to establish a precise connection between this mapping and the triple operator integral mapping from Theorem 4.
We may suppose that
[TABLE]
for some separating vectors (see Subsection 2.1).
There exists a (necessarily unique) linear map satisfying
[TABLE]
for any Borel set . For any finite family of pairwise disjoint measurable subsets of and for any family of complex numbers, we have
[TABLE]
Hence extends to an isometry (still denoted by)
[TABLE]
Denote by the range of . We obtain
[TABLE]
We similarly define and such that
[TABLE]
We may consider as a subspace of in a natural way. Namely we write and and identify any with the matrix
[TABLE]
We may similarly regard and as subspaces of .
The next statement means that for any , maps into and that under the previous identifications, this restriction βcoincidesβ with .
Proposition 9**.**
Let and , and set
[TABLE]
For any , belongs to and
[TABLE]
Proof.
We first consider the special case when for some measurable subsets and .
Let and and consider the elementary tensors
[TABLE]
We associate and as in the statement. Since is a unitary, we have hence
[TABLE]
Likewise,
[TABLE]
We have
[TABLE]
Further using the above expressions of and , we have
[TABLE]
This shows that belongs to and that (17) holds true.
By linearity and continuity, this result holds as well for all and all .
Finally since and are -continuous, we deduce from the above special case that the result actually holds true for all . β
Corollary 10**.**
The mapping from Theorem 4 is an isometry.
Proof.
Consider . For any in and any in , we have
[TABLE]
by Proposition 9. Since and , this implies that
[TABLE]
By Proposition 8, the left-hand side of this inequality is equal to . Further is a contraction. Hence we obtain that . β
With a similar proof (left to the reader), one can show that the mapping from Proposition 5 in an isometry.
4. -spaces
Let be a -finite measure space and let be a Banach space. For any , we let denote the classical Bochner space of measurable functions (defined up to almost everywhere zero functions) such that the norm function belongs to (see e.g. [18, Chapter II]).
We will consider a dual version. Assume that is separable. A function is said to be -measurable if for all , the function is measurable. In this case, the function is measurable. Indeed, if is a dense sequence in the unit sphere of , then is the supremum of a sequence of measurable functions, hence is measurable.
Let . By definition, is the space of all -measurable such that , after taking quotient by the functions which are equal to [math] almost everywhere. We equip this space with
[TABLE]
Then is a Banach space (the proof is the same as in the scalar case). Further by construction, isometrically.
Suppose that and let be the conjugate exponent of . For any and any , the function is measurable. Indeed any element of is an almost everywhere limit of a sequence of , hence it suffices to check this fact when . In this case, the measurablity of is a straightforward consequence of the -measurability of . By HΓΆlderβs inequality, the function is actually integrable, which yields a duality pairing
[TABLE]
Moreover we have
[TABLE]
Theorem 11**.**
The duality pairing (19) induces an isometric isomorphism
[TABLE]
The above theorem is well-known and has extensions to the non separable case. However we have not found a satisfactory reference for this simple (=separable) case and provide a proof below for the sake of completeness. See [18, Chapter IV] and the references therein for more information.
Recall that we have by (6). Hence in the case , the above theorem yields an isometric identification
[TABLE]
a classical result going back to [20, Theorem 2.1.6].
Proof of Theorem 11.
The inequality (20) yields a contractive map . Our aim is to show that is an isometric isomorphism.
According to the separability assumption there exists a nondecreasing sequence of finite dimensional subspaces of such that is dense in . Since is finite dimensional, and satisfies the conclusion of the theorem to be proved, that is,
[TABLE]
isometrically (see [18, Chapter IV]). In the sequel we regard as a subspace of in a natural way.
We first note that is 1-1. Indeed if is such that , then for any , a.e. by (23). Hence a.e., which implies that a.e.
Now let , with . Applying (23) to the restriction of to we obtain, for any , a measurable function such that and
[TABLE]
We may assume that for any , we have
[TABLE]
Indeed by construction, a.e. and the family is countable so we can modify all the functions on a common negligible set to get (24).
It follows that for any , is a nondecreasing sequence, so we can define a measurable by
[TABLE]
If we may write
[TABLE]
by the monotone convergence theorem. This implies that is a.e. finite. If , the fact that for any implies that for a.e. . Thus in any case, there exists a negligible subset such that for any .
If , then by (24) and the density of , there exists a unique element of , that we call , such that
[TABLE]
Next we set for any . We thus have a function .
Let and let be a sequence of converging to . Then pointwise. Moreover for any , the function is measurable by construction, hence is measurable. Thus is -measurable.
Now from the definition of , we see that and coincide on for any . Consequently, . Moreover .
This proves that is a metric surjection, and hence an isometric isomorphism. β
Remark 12**.**
We already noticed that when is finite dimensional. It turns out that for a general Banach space , the equality is equivalent to having the Radon-Nikodym property, see e.g. [18, Chapter IV]. All Hilbert spaces (more generally all reflexive Banach spaces) have the Radon-Nikodym property. Later on we will use this property that for any separable Hilbert space and any , we have
[TABLE]
Let and be two separable Banach spaces. Being a completion of , their projective tensor product is separable as well. Recall that its dual space is equal to . Whenever is a -measurable function, then for any , the function defined by
[TABLE]
is -measurable.
Corollary 13**.**
The mapping given by (25) induces an isometric isomorphism
[TABLE]
Proof.
By Theorem 11 for , and by (4) and (5), we have isometric isomorphisms
[TABLE]
It is easy to check that the correspondence is given by . β
Remark 14**.**
Let be two Banach spaces and let be a -continuous map. For any , the composition map belongs to and the mapping is a bounded operator from into , whose norm is equal . It is easy to check that this mapping is -continuous. If further is an isometry, then is an isometry as well.
Applying this elementary principle to the embedding of into the space
[TABLE]
provided by Theorem 1, we obtain a -continuous isometric inclusion
[TABLE]
5. Measurable factorization in
The main purpose of this section is to prove Theorem 15 below. This result will be applied in Subsection 5.2 (and in Section 6) to the study of measurable Schur multipliers.
We will say that a measure space is separable when is separable. This implies that is -finite and moreover, is separable for any .
5.1. The general case
It follows from Subsection 2.2 that for any separable Banach spaces , the space is a dual space with a separable predual. If is a separable Hilbert space, then and are also dual spaces with separable predual.
Theorem 15**.**
Let be a separable measure space and let be two separable Banach spaces. Let \phi\in L^{\infty}_{\sigma}\bigl{(}\Omega;\Gamma_{2}(E,F^{*})\bigr{)}. Then there exist a separable Hilbert space and two functions
[TABLE]
such that and for any ,
[TABLE]
We will need two lemmas, in which denotes an arbitrary -finite measure space.
The first one is a variant of the classical classification of abelian von Neumann algebras. For any , and any Hilbert space , we let denote the multiplication operator taking any to .
Lemma 16**.**
Let be a separable Hilbert space and let \pi\colon L^{\infty}(\Omega)\to B(\mbox{{\mathcal{H}}}) be a -continuous -representation. There exist a separable Hilbert space and an isometric embedding \rho\colon\mbox{{\mathcal{H}}}\hookrightarrow L^{2}(\Omega;H)\, such that for any ,
[TABLE]
Proof.
Since is -continuous, there exists a measurable subset such that the range of is isomorphic to in the von Neumann algebra sense and coincides with the restriction map (apply [28, Corollary 2.5.5]). It therefore follows from [16, Theorem II.3.5] that there exist a measurable partition of and a unitary operator
[TABLE]
such that for any , coincides with the multiplication by . (Note that in the above decomposition, the index may be finite or infinite and the notation stands for .) Let
[TABLE]
and consider the canonical embedding
[TABLE]
Then satisfies the lemma. β
It is well-known that for any Hilbert space , the commutant of
[TABLE]
coincides with . The next statement is a generalization of this result to the case when is replaced by Banach spaces.
We consider two separable Banach spaces . Note that by (4), is a dual space with separable predual. We say that a linear map
[TABLE]
is a module map provided that
[TABLE]
Next we generalize the notion of multiplication by an -function as follows. For any \Delta\in L^{\infty}_{\sigma}\bigl{(}\Omega;B(W_{1},W_{2}^{*})\bigr{)}, we define a multiplication operator
[TABLE]
by setting
[TABLE]
for any . Indeed it is easy to check (left to the reader) that the function in the right-hand side of the above equality belongs to . Moreover
[TABLE]
Each multiplication operator is a module map, as we have
[TABLE]
for any . The following lemma is a converse.
Lemma 17**.**
Let be a module map. Then there exists a function \Delta\in L^{\infty}_{\sigma}\bigl{(}\Omega;B(W_{1},W_{2}^{*})\bigr{)} such that .
Proof.
In the scalar case (W_{1}=W_{2}=\mbox{\mathbb{C}}) this is an elementary result; the proof consists in reducing to this scalar case.
We define a bilinear map by the following formula. For any , and , we set
[TABLE]
Recall the identification from Theorem 11. If we consider as a map from into , then we have
[TABLE]
for any , , and .
Further for any and , we have
[TABLE]
because is a module map. Hence is a module map.
Let us identify with the von Neumann subalgebra of consisting of multiplication operators. The above property shows that is such a multiplication operator for any and . Hence we may actually regard as a bilinear map
[TABLE]
Now observe that applying (3), (4) and (22), we have isometric identifications
[TABLE]
Let \Delta\in L^{\infty}_{\sigma}\bigl{(}\Omega;B(W_{1},W_{2}^{*})\bigr{)} be corresponding to in this identification. Then we have
[TABLE]
Thus applying (30) we obtain that
[TABLE]
for any , , and . By the density of and in and , respectively, this implies that . β
Proof of Theorem 15..
This proof should be regarded as a module version of the proof of [33, Theorem 3.4]. As in this book we adopt the following notation. For any finite families and in , we write
[TABLE]
provided that
[TABLE]
In the sequel we simply write (resp. ) instead of (resp. ) as there is no risk of confusion. Then we set
[TABLE]
We fix some \phi\in L^{\infty}_{\sigma}\bigl{(}\Omega;\Gamma_{2}(E,F^{*})\bigr{)} and we let . Then is an element of L^{\infty}_{\sigma}\bigl{(}\Omega;B(E,F^{*})\bigr{)}. Hence according to (28) we may consider the multiplication operator
[TABLE]
We let . A generic element of will be denoted by , with and .
For any (finite sum) and , we set
[TABLE]
Lemma 18**.**
Let and be finite families in such that
[TABLE]
Then
[TABLE]
Proof.
Let and be finite families in and assume (31). Consider in , in such that
[TABLE]
Let . For any ,
[TABLE]
Hence
[TABLE]
Likewise,
[TABLE]
Thus by (31), we have
[TABLE]
Let be the subspace spanned by the and . Since it is finite dimensional, its dual space is obviously separable. Let be a dense sequence of and for any , extend to an element of (still denoted by ). Then for any finite families and in , we have
[TABLE]
It follows from (33) that for almost every , we have
[TABLE]
for every . Since the functions are valued in , this implies that
[TABLE]
By the implication β(i) (iii)β of [33, Theorem 3.4], this property implies that for a.e. ,
[TABLE]
Integrating this inequality on yields . β
We let be the set of all functions g\colon I\to\mbox{\mathbb{R}} for which there exists a finite family in such that
[TABLE]
This is a real vector space. We let denote its positive part, i.e. the set of all functions I\to\mbox{\mathbb{R}}_{+}\, belonging to . This is a convex cone. For any we set
[TABLE]
where the infimum runs over all finite families in satisfying (34). It is easy to check that is sublinear, that is, for any and for any and any .
Next for any , we set
[TABLE]
where the supremum runs over all finite families in satisfying
[TABLE]
It is easy to check that is superlinear, that is, for any and for any and any .
By Lemma 18, on . Hence by the Hahn-Banach Theorem given in [33, Corollary 3.2], there exists a positive linear functional \ell\colon\Lambda\to\mbox{\mathbb{R}}\, such that
[TABLE]
and
[TABLE]
Following [33, Chapter 8], we introduce a Hilbert space
[TABLE]
defined as follows. First we let \mbox{{\mathcal{L}}}(I,\ell;L^{2}) be the set of all functions such that the -valued function belongs to and we set N(G)=\bigl{(}\ell(\zeta\mapsto\|G(\zeta)\|^{2}_{2})\bigr{)}^{\frac{1}{2}} for any such function. Then \mbox{{\mathcal{L}}}(I,\ell;L^{2}) is a complex vector space and is a Hilbertian seminorm on \mbox{{\mathcal{L}}}(I,\ell;L^{2}). Hence the quotient of \mbox{{\mathcal{L}}}(I,\ell;L^{2}) by the kernel of is a pre-Hilbert space. By definition, is the completion of this quotient space.
For any , the function belongs to \mbox{{\mathcal{L}}}(I,\ell;L^{2}). Then we define a linear map
[TABLE]
as follows: for any , is the class of modulo the kernel of . Then we have
[TABLE]
by and the definition of . Hence uniquely extends to a bounded operator
[TABLE]
For any , we have
[TABLE]
The resulting inequality implies the existence of a (necessarily unique) bounded linear operator
[TABLE]
such that
[TABLE]
(Here and later on in the paper, denotes the closure of .)
For any and any , we have
[TABLE]
Indeed write , with and . For any and , we have
[TABLE]
Hence for any . Since the functional is positive on , this implies that \ell\bigl{(}\zeta\mapsto\|\zeta\cdotp(\theta v)\|^{2}\bigr{)}\leq\|\theta\|_{\infty}^{2}\ell\bigl{(}\zeta\mapsto\|\zeta\cdotp v\|^{2}\bigr{)}, which yields (39).
This inequality implies the existence of a (necessarily unique) linear contraction
[TABLE]
such that
[TABLE]
It is clear that is a unital homomorphism. This implies that is a -representation. Indeed for any unitary , we have and the two operators and are contractions. This implies that is a unitary and that
[TABLE]
Since unitaries generate , (41) actually holds true for any .
Let and assume that is a bounded net of converging to in the -topology. For any , in (this uses the boundedness of the net). By the continuity of this implies that for any , in . By linearity, this implies that for any , in . In other words, for any . Since the net is bounded, this implies that strongly. Hence is a -continuous -representation.
Recall that and are assumed separable, hence the Hilbert space is separable. By Lemma 16, there exists a separable Hilbert space and an isometric embedding such that for any . Then for any such and any , we have
[TABLE]
by (40). This shows that the composed map
[TABLE]
Define
[TABLE]
Let . For any , we have
[TABLE]
by (40), (38) and the fact that is a module map. This shows that
[TABLE]
Further we have \rho^{*}M_{\theta}=\bigl{(}M_{\overline{\theta}}\rho\bigr{)}^{*}=\bigl{(}\rho\pi(\overline{\theta})\bigr{)}^{*}=\pi(\theta)\rho^{*}. Hence , that is,
[TABLE]
Since is equal to the identity of , it follows from (38) that
[TABLE]
Thus we have constructed a βmodule Hilbert space factorizationβ of , and this is the main point.
To conclude, let be the restriction of the adjoint of to . Then is a module map. Now apply Lemma 17 to and . Let and such that is equal to the multiplication by and is equal to the multiplication by . Given any and , we have
[TABLE]
for any . Applying identification between and , this proves . By construction, and . β
5.2. A special case: Schur multipliers
Let , and be three separable measure spaces. We are going to apply Theorem 15 with , and .
To any , one may associate \widetilde{\phi}\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};B(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)} as follows. For any ,
[TABLE]
According to the obvious identification
[TABLE]
and (11), the mapping induces a -homeomorphic isometric identification
[TABLE]
By Remark 14, the -continuous contractive embedding of into the space induces a -continuous contractive embedding
[TABLE]
Combining with the preceding identification we obtain a further -continuous contractive embedding
[TABLE]
According to this, we will write \phi\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};\Gamma_{2}(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)} when actually belongs to that space. In this case, for the sake of clarity, we let
[TABLE]
denote its norm as an element of L^{\infty}_{\sigma}\bigl{(}\Omega_{2};\Gamma_{2}(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)}. It is greater than or equal to its norm as an element of .
Theorem 19**.**
Let and . Then \phi\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};\Gamma_{2}(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)} and if and only if there exist a separable Hilbert space and two functions
[TABLE]
such that and
[TABLE]
Proof.
Assume that belongs to L^{\infty}_{\sigma}\bigl{(}\Omega_{2};\Gamma_{2}(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)}, with . According to Theorem 15, there exist a Hilbert space and two functions
[TABLE]
such that for any and ,
[TABLE]
By , and (22) we have isometric identifications
[TABLE]
Moreover , see Remark 12. Hence we finally have an isometric identification
[TABLE]
Likewise we have an isometric identification
[TABLE]
Let and be corresponding to and respectively in the above identifications. Then for any ,
[TABLE]
Likewise, for any ,
[TABLE]
Combining and we deduce that for any and , we have
[TABLE]
for a.e. . This implies (44) and shows the βonly ifβ part.
Assume conversely that (44) holds true for some in and some in . Using the above identifications, we consider \alpha\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};B(L^{1}(\Omega_{1}),H)\bigr{)} and \beta\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};B(L^{1}(\Omega_{3}),H)\bigr{)} be corresponding to and , respectively. Then the above computations lead to (45). This identity means that for a.e. , we have a Hilbert space factorisation . This shows that \phi\in L^{\infty}_{\sigma}\bigl{(}\Omega_{2};\Gamma_{2}(L^{1}(\Omega_{1}),L^{\infty}(\Omega_{3}))\bigr{)}, with . β
6. Characterization of boundedness
Let be a separable Hilbert space and let and be normal operators on . Let and be scalar-valued spectral measures associated with , and . Recall the definition of the triple operator mapping from Theorem 4. The purpose of this section is to characterize the functions such that maps into .
We shall start with a factorization formula of independent interest. Let and be the double operator integral mappings associated respectively with and with , see Proposition 5. As noted in Remark 6, and are -representations. Recall that they are -continuous.
In the next statement we will consider the product of a function and a function . The meaning is that we consider
[TABLE]
in a canonical way and multiply and in this common bigger space.
Lemma 20**.**
Let and . Then, for all , we have
[TABLE]
Proof.
Fix . Let and . Consider and . Then we have . Therefore
[TABLE]
Now, take and . Let and be two nets in and respectively, converging to and in the -topology. By linearity, the previous calculation implies that for all ,
[TABLE]
Take and fix . Since belongs to we have
[TABLE]
by the -continuity of . Similarly, since , the -continuity of implies that
[TABLE]
On the other hand, -converges to for any fixed and -converges to in . Hence the -continuity of implies that
[TABLE]
Thus, for all ,
[TABLE]
which implies that β
The next theorem is our main result. It should be regarded as an extension of [11, Corollary 8] to the measurable setting. In the latter statement one considers a matrix and it is implicitly shown that the bilinear Schur multiplier associated with maps into if and only if belongs to \ell^{\infty}\bigl{(}\Gamma_{2}(\ell^{1},\ell^{\infty})\bigr{)}. In the current situation, matrices are replaced by functions. The scheme of proof of Theorem 21 is similar to the one of [11, Corollary 8] but requires various additional tools.
Theorem 21**.**
Let be a separable Hilbert space, let and be normal operators on and let . The following are equivalent :
- (i)
** 2. (ii)
There exist a separable Hilbert space and two functions
[TABLE]
such that
[TABLE]
for a.e.
In this case,
[TABLE]
where the infimum runs over all pairs satisfying (ii).
Proof.
(ii) (i): Assume (ii) and let be a Hilbertian basis of . For any k\in\mbox{\mathbb{N}}, define
[TABLE]
We set
[TABLE]
this function belongs to and we have .
Let . Since is a -continuous -representation, we have
[TABLE]
We prove similarly that if , then
[TABLE]
Consequently, for all , we have the inequalities
[TABLE]
Therefore, we can define a bounded bilinear map
[TABLE]
by
[TABLE]
and we have
[TABLE]
We claim that
[TABLE]
To check this, consider
[TABLE]
for any . Then we set
[TABLE]
Fix . We have hence by Lemma 20,
[TABLE]
Consequently,
[TABLE]
Moreover a.e. and is bounded in . Indeed,
[TABLE]
Hence by Lebesgueβs dominated convergence theorem, -. The -continuity of implies that
[TABLE]
weakly in . We conclude that .
This shows (i). Furthermore (47) yields
[TABLE]
(i) (ii): As in Subsection 3.3, we consider the triple integral mappings in the case when , and . Note that these measurable spaces are separable.
Assume (i) and apply Proposition 9, which connects to . Let
[TABLE]
By (17), we have
[TABLE]
since and . This shows that maps into , with
[TABLE]
We now extend the proof of [11, Corollary 8] to get a Hilbert space factorization. For convenience we write and . Each of these spaces naturally identifies with its conjugate space, hence we will not use conjugation bars as we had to do in Subsection 2.3.
We have just proved above that extends to a bounded bilinear map into . According to the identification
[TABLE]
provided by (3), it can be also regarded as a bounded linear operator from the projective tensor product into . By (10), we may naturally identify and with the Bochner spaces and , respectively. We may therefore regard as a bounded linear operator
[TABLE]
Property (4) and Hilbert space self-duality provide a natural isometric identification
[TABLE]
We further have , by (8). We now let
[TABLE]
be the adjoint of through these identifications.
According to (28) and (29), we have an isometric embedding
[TABLE]
obtained by identifying any \Delta\in L^{\infty}_{\sigma}\bigl{(}\lambda_{B};B(H_{1},H_{3})\bigr{)} with the multiplication operator . It is easy to check (left to the reader) that this embedding is -continuous. Hence we may regard the dual space L^{\infty}_{\sigma}\bigl{(}\lambda_{B};B(H_{1},H_{3})\bigr{)} as a -closed subspace of B\bigl{(}L^{2}(\lambda_{B};H_{1}),L^{2}(\lambda_{B};H_{3})\bigr{)}. We aim at showing (50) below.
Let and , and consider as an element of . Take any , and , then regard as an element of and as an element of . We have
[TABLE]
It readily follows from this formula that for any ,
[TABLE]
Since and are dense in and , respectively, this implies that for any and any . By Lemma 17, this implies that belongs to L^{\infty}_{\sigma}\bigl{(}\lambda_{B},B(H_{1},H_{3})\bigr{)}.
Since is -continuous and is -dense in , we deduce that
[TABLE]
Consider now the restriction of to the subspace of compact operators from into . By (50), we may write
[TABLE]
Corollary 13 provides an identification
[TABLE]
Let \widetilde{\phi}\in L^{\infty}_{\sigma}\bigl{(}\lambda_{B};B(\mathcal{K}(H_{1},H_{3}),B(H_{1},H_{3}))\bigr{)} be corresponding to in this identification. Then by the preceding computation we have that for any and ,
[TABLE]
for a.e. in .
Following Subsection 2.4, for any , we let be the Hilbert-Schmidt operator with kernel . Then the above formula shows that for , we have
[TABLE]
By density of in , we deduce that (51) holds true for any . This means that for a.e. , , regarded as an element of , is a measurable Schur multiplier, whose corresponding operator is
[TABLE]
This shows two things. First, belongs to L^{\infty}_{\sigma}\bigr{(}\lambda_{B};\Gamma_{2}(L^{1}(\lambda_{A}),L^{\infty}(\lambda_{C}))\bigr{)} regarded as a subspace of L^{\infty}_{\sigma}\bigl{(}\lambda_{B};B(\mathcal{K}(H_{1},H_{3}),B(H_{1},H_{3}))\bigr{)}, by (26). Second, the element of corresponding to through the inclusion (43) is the function itself. Thus we have proved that \phi\in L^{\infty}_{\sigma}\bigr{(}\lambda_{B};\Gamma_{2}(L^{1}(\lambda_{A}),L^{\infty}(\lambda_{C}))\bigr{)}. Further the above reasoning shows (using the notation introduced after (43)) that
[TABLE]
According to (49), this implies that
[TABLE]
Now applying Theorem 19 yields (ii), with \|a\|_{\infty}\|b\|_{\infty}\leq\bigl{\|}\Gamma^{A,B,C}(\phi)\colon S^{2}\times S^{2}\to S^{1}\bigr{\|}. β
Theorem 21 extends to the framework of triple operator integrals associated with functions as defined in Subsection 3.2. With similar proofs as above, we obtain the following.
Theorem 22**.**
Let and be three separable measure spaces, and let . Then extends to a bounded bilinear map
[TABLE]
if and only if there exist a separable Hilbert space and two functions
[TABLE]
such that
[TABLE]
for a.e.
In this case,
[TABLE]
where the infimum runs over all pairs verifying the above factorization property.
7. Additional comments
In this last section, we explain connections between our theorems and previous results in this area. We first show that Pellerβs Theorem from [29] (mentioned in the Introduction) is a direct consequence of Theorem 21. With the terminology of the present paper, Pellerβs Theorem can be stated as follows.
Theorem 23**.**
(Peller [29]) Let be normal operators on a separable Hilbert space and let and be scalar-valued spectral measures for and . For any , the following are equivalent.
- (i)
The double operator integral mapping extends to a bounded map from S^{1}(\mbox{{\mathcal{H}}}) into itself.
- (ii)
There exist a separable Hilbert space and two functions and such that
[TABLE]
for a.e. .
In this case,
[TABLE]
where the infimum runs over all pairs of functions such that (53) holds true.
Proof.
Consider as above and take an auxiliary normal operator on (this may be the identity map), with a scalar-valued spectral measure . For any , set
[TABLE]
We claim that for any X,Y\in S^{2}(\mbox{{\mathcal{H}}}),
[TABLE]
Indeed for any and , and for any X,Y\in S^{2}(\mbox{{\mathcal{H}}}), we have
[TABLE]
Hence by linearity, (54) holds true for any . By the -continuity of and of , this identity holds as well for any .
We have for any X,Y\in S^{2}(\mbox{{\mathcal{H}}}) and conversely, for any Z\in S^{1}(\mbox{{\mathcal{H}}}), there exist in S^{2}(\mbox{{\mathcal{H}}}) such that and . Thus given any , it follows from (54) that maps S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}}) into S^{1}(\mbox{{\mathcal{H}}}) if and only if maps S^{1}(\mbox{{\mathcal{H}}}) into S^{1}(\mbox{{\mathcal{H}}}) and moreover,
[TABLE]
On the other hand, satisfies condition (ii) from Theorem 21 if and only if satisfies condition (ii) from Theorem 23.
The result therefore follows from Theorem 21. β
Remark 24**.**
In this remark, we discuss another formulation of Pellerβs Theorem. Let be Banach spaces. A bounded map is called integral if there exist a probability measure space and two bounded maps and such that
[TABLE]
Let \mbox{{\mathcal{I}}}(E,F^{*}) denote the space of all such operators and set , where the infimum runs over all such factorizations. Then is a norm on \mbox{{\mathcal{I}}}(E,F^{*}) and the latter is a Banach space. Moreover (4) induces an isometric identification
[TABLE]
where is the injective tensor product. We refer e.g. to [18, Chapter VIII, Theorems 5 9] for these definitions and properties.
Grothendieckβs Inequality on tensor products implies that for any measure spaces and , and for any , we have , where is a universal constant (see e.g. [34, Section 3]). Equivalently,
[TABLE]
-isomorphically. Passing to duals, this yields a -homeomorphic -isomorphism
[TABLE]
Let as in Theorem 23, let and let be the bounded map associated to (see (11)). Condition (ii) from Theorem 23 means that . Hence in Theorem 23 above, condition (i) is also equivalent to :
- (iii)
The operator belongs to \mbox{{\mathcal{I}}}(L^{1}(\lambda_{A}),L^{\infty}(\lambda_{B})).
Further it is easy to deduce from the above definition of integral operators (see (55)) that the above property (iii) is formally equivalent to :
- (iv)
There exist a probability measure space and two functions and such that
[TABLE]
The equivalence between (i) and (iv) is stated in [29, 31], and also in [23, 24] to which we refer for various proofs. It follows from this analysis that if condition (i) from Theorem 23 holds true, then the above factorization (iv) can be achieved with satisfying
[TABLE]
Conversely if (iv) holds true, then \|\Gamma^{A,B}(\psi)\colon S^{1}(\mbox{{\mathcal{H}}})\longrightarrow S^{1}(\mbox{{\mathcal{H}}})\|\leq\|a\|_{\infty}\|b\|_{\infty}.
We note that the original paper [29] makes use of Grothendieckβs Inequality to establish Theorem 23. Our approach shows that this can be avoided and that Grothendieckβ Inequality is useful only to establish the equivalence of (iv) with (i).
Let us now come back to Theorem 21. Let and as in this theorem. It follows from the proof of Theorem 21 that the conditions (i)-(ii) in this theorem are equivalent to the fact that . Hence according to (56), the conditions of Theorem 21 are also equivalent to
[TABLE]
It is a natural question whether this implies the existence of a probability measure space and two functions and such that for a.e. . However we havenβt been able to establish this yet.
We now turn to connections between Theorem 4 or Proposition 5 and the constructions of multiple operator integrals from [30] and [4].
Let be normal operators on a separable Hilbert space . Throughout we use the notations of Proposition 5. Let be a -finite measure space and, for any , let
[TABLE]
be a measurable function such that for a.e. . Then is a -measurable function from into , hence is measurable for any . Further by composition (see Remark 14), is a -measurable function from into B(\mbox{{\mathcal{H}}}).
Lemma 25**.**
Assume that
[TABLE]
Then for any X_{1},\ldots,X_{n-1}\in S^{2}(\mbox{{\mathcal{H}}}), the function
[TABLE]
is integrable.
Proof.
Fix X_{1},\ldots,X_{n-1}\in S^{2}(\mbox{{\mathcal{H}}}). Write with X^{\prime},X^{\prime\prime}\in S^{4}(\mbox{{\mathcal{H}}}), the 4-th order Schatten space on . By composition, is a -measurable function from into S^{4}(\mbox{{\mathcal{H}}}). Since S^{4}(\mbox{{\mathcal{H}}}) is reflexive and separable, it follows from [18, Theorem II.2] that is actually measurable from into S^{4}(\mbox{{\mathcal{H}}}). Likewise is measurable from into S^{4}(\mbox{{\mathcal{H}}}). Since
[TABLE]
it follows that is measurable from into S^{2}(\mbox{{\mathcal{H}}}). One proves similarly that is measurable from into S^{2}(\mbox{{\mathcal{H}}}). We deduce that the function (59) is measurable.
Then the assumption (58) ensures that this function is integrable. β
Proposition 26**.**
Assume (58) and let be defined by setting
[TABLE]
for a.e. in . Then
[TABLE]
for any in S^{2}(\mbox{{\mathcal{H}}}).
Proof.
We introduce by writing for any . Then the function defined by
[TABLE]
is -measurable. Let . Then for a.e. , we have
[TABLE]
Hence by Fubiniβs Theorem,
[TABLE]
Fix in S^{2}(\mbox{{\mathcal{H}}}). Write for convenience. Since this mapping is -continuous, there exists a necessarily unique such that for any , we have
[TABLE]
We shall apply this identity with first, and then with . Then we obtain
[TABLE]
By the definition of on elementary tensor products, we have
[TABLE]
for a.e. . Consequently
[TABLE]
This shows (61). β
Following [30], the space of all functions defined by (60) for some satisfying (58) is called the integral projective tensor product of the spaces ; this space is denoted by
[TABLE]
In [4, 30] the authors define a multiple operator integral mapping
[TABLE]
for any , as follows. Let be defined by (60) for some satisfying (58). Then for any in B(\mbox{{\mathcal{H}}}), the operator is defined by setting
[TABLE]
for any Z\in S^{1}(\mbox{{\mathcal{H}}}). Indeed it follows from [4, Section 4] that for any in B(\mbox{{\mathcal{H}}}), the function
[TABLE]
belongs to L^{1}_{\sigma}(\Sigma;B(\mbox{{\mathcal{H}}})), and hence t\mapsto\text{tr}\bigl{(}a_{1}(t,A_{1})X_{1}a_{2}(t,A_{2})X_{2}\cdots X_{n-1}a_{n}(t,A_{n})Z\bigr{)} is integrable for any Z\in S^{1}(\mbox{{\mathcal{H}}}).
Proposition 26 shows that the constructions from the present paper are compatible with those from [4, 30]. Namely for any in the integral projective tensor product, the restriction of to S^{2}(\mbox{{\mathcal{H}}})\times\cdots\times S^{2}(\mbox{{\mathcal{H}}}) coincides with .
We observe that for any , the -linear bounded operator is separately -continuous. That is, for any and for any , in B(\mbox{{\mathcal{H}}}), the linear map from B(\mbox{{\mathcal{H}}}) into itself taking any X_{k}\in B(\mbox{{\mathcal{H}}}) to is -continuous. Let us show this for , the other cases being similar. We consider given by (60). We fix in B(\mbox{{\mathcal{H}}}) and . We let \eta\colon B(\mbox{{\mathcal{H}}})\to\mbox{\mathbb{C}} be defined by
[TABLE]
and we aim at showing that the functional is -continuous. For we consider \Theta\colon\Sigma\to S^{1}(\mbox{{\mathcal{H}}}) defined by setting
[TABLE]
for a.e. . Arguing as in the proof of Lemma 25, one shows that is measurable and hence that is integrable. Then it follows from (62) that for any X\in B(\mbox{{\mathcal{H}}}), we have
[TABLE]
This shows that is -continuous and concludes the proof.
This leads to the following.
Corollary 27**.**
For any in the space , the -linear map \Gamma^{A_{1},\ldots,A_{N}}(\phi)\colon S^{2}(\mbox{{\mathcal{H}}})\times\cdots\times S^{2}(\mbox{{\mathcal{H}}})\to S^{2}(\mbox{{\mathcal{H}}}) extends to a (necessarily unique) separately -continuous bounded -linear map B(\mbox{{\mathcal{H}}})\times\cdots\times B(\mbox{{\mathcal{H}}})\longrightarrow B(\mbox{{\mathcal{H}}}).
In the case , coincides with the space all functions in satisfying condition (iv) from Remark 24. Equivalently, we have
[TABLE]
The inclusion ββ is obvious. The non trivial reverse inclusion is a well-known fact which follows from [18, Chapter VII, Theorem 9]. According to this result (see the beginning of Remark 24), it suffices to show that any induces a bounded functional on the injective tensor product . To check this property, consider
[TABLE]
for some measurable functions a\colon\Sigma\times\sigma(A)\to\mbox{\mathbb{C}} and b\colon\Sigma\times\sigma(B)\to\mbox{\mathbb{C}} such that
[TABLE]
Then for any finite families in and in , we have
[TABLE]
which proves the result.
We finally turn to the case . Consider three normal operators on . It is clear that for any , extends to a bounded bilinear map S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(\mbox{{\mathcal{H}}})\to S^{1}(\mbox{{\mathcal{H}}}). Indeed assume that
[TABLE]
for some measurable functions a\colon\Sigma\times\sigma(A)\to\mbox{\mathbb{C}}, b\colon\Sigma\times\sigma(B)\to\mbox{\mathbb{C}} and c\colon\Sigma\times\sigma(C)\to\mbox{\mathbb{C}} such that
[TABLE]
Then for any in S^{2}(\mbox{{\mathcal{H}}}),
[TABLE]
Hence by Proposition 26, belongs to S^{1}(\mbox{{\mathcal{H}}}) and we have
[TABLE]
Example 28 below shows that the converse is wrong, that is, there exist functions such that \Gamma^{A,B,C}(\phi)\colon S^{2}(\mbox{{\mathcal{H}}})\times S^{2}(H)\to S^{1}(\mbox{{\mathcal{H}}}) although does not belong to . (There are actually a lot of such functions.)
Example 28**.**
In this paragraph, and in Example 29 below, we consider families in \ell^{\infty}(\mbox{\mathbb{N}}^{3}) to which we associate the bilinear Schur multiplier defined by
[TABLE]
Bilinear maps are special cases of the bilinear maps and considered in subsections 3.2 and 3.1.
Let S=\{s_{kj}\}_{k,j\geq 1}\in\ell^{\infty}(\mbox{\mathbb{N}}^{2}) and let be the associated Schur multiplier defined by
[TABLE]
Set for any . It follows from the above definitions that for any ,
[TABLE]
Since , this implies that boundedly. The above formula also implies that extends to a bounded bilinear map if and only if extends to a bounded map . This holds true if and only if . Thus whenever S\in\ell^{\infty}(\mbox{\mathbb{N}}^{2})\setminus\ell^{\infty}\hat{\otimes}_{i}\ell^{\infty}, is bounded from into but is not bounded from into . In this case, cannot belong to .
Example 29**.**
To complement the above discussion, let us show the existence of (plenty of) families M\in\ell^{\infty}(\mbox{\mathbb{N}}^{3}) such that
- (i)
* extends to a bounded bilinear map ;*
- (ii)
* does not extend to a bounded bilinear map .*
Let S=\{s_{ij}\}_{i,j\geq 1}\in\ell^{\infty}(\mbox{\mathbb{N}}^{2}). Set for any and, for any , set for any . For any and in , we have
[TABLE]
For any finite families and of complex numbers, we have
[TABLE]
by the Cauchy-Schwarz inequality. This shows that satisfies (i).
We now claim that if extends to a bounded bilinear map , then extends to a bounded map . Indeed suppose that
[TABLE]
Consider a finite matrix and finite families and of complex numbers. Let be defined by setting for any and, for any , for any . Likewise, let be defined by setting for any and, for any , for any . Then
[TABLE]
Hence
[TABLE]
Since
[TABLE]
this implies that
[TABLE]
This implies that extends to a bounded map and proves the claim.
Thus for any S\in\ell^{\infty}(\mbox{\mathbb{N}}^{2})\setminus\ell^{\infty}\hat{\otimes}_{i}\ell^{\infty}, the associated family satisfies (ii).
We finally refer to [21, 25] for the study of multilinear measurable Schur multipliers which extend to completely bounded maps .
Added, April 2020: After a first version of this paper was circulated in 2017, some of its results have been used in [9, 10, 13, 26, 40].
Acknowledgements. The first two authors were supported by the French βInvestissements dβAvenirβ program, project ISITE-BFC (contract ANR-15-IDEX-03). The third author was partially supported by the ARC (grant FL170100052 ).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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