Structures on the way from classical to quantum spaces and their tensor products
A. Ya. Helemskii

TL;DR
This paper explores tensor products of novel mathematical structures called Lambert and proto-Lambert spaces, revealing their unique properties and applications, especially in relation to $L_1$-spaces and Hilbert spaces.
Contribution
It introduces and analyzes tensor products for Lambert and proto-Lambert spaces, bridging classical and quantum space theories with new norm properties.
Findings
Proto-Lambert tensor product is well-behaved for spaces with maximal proto-Lambert norm.
Lambert tensor product is suitable for Hilbert spaces with minimal Lambert norm.
Different tensor products induce distinct norms, highlighting structural differences.
Abstract
We study tensor products of two structures situated, in a sense, between normed spaces and (abstract) operator spaces. We call them Lambert and proto-Lambert spaces and pay more attention to the latter ones. The considered two tensor products lead to essentially different norms in the respective spaces. Moreover, the proto-Lambert tensor product is especially nice for spaces with the maximal proto-Lambert norm and in particular, for -spaces. At the same time the Lambert tensor product is nice for Hilbert spaces with the minimal Lambert norm.
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Quantum Mechanics and Applications · Advanced Differential Geometry Research
††footnotetext: Keywords: proto-Lambert space, L-bounded operator, proto-Lambert tensor product, Lambert space, Lambert tensor product.††footnotetext: Mathematics Subject Classification (2000): 46L07, 46M05.
Structures on the way from classical to quantum spaces and their tensor products
A. Ya. Helemskii
Abstract
We study tensor products of two structures situated, in a sense, between normed spaces and (abstract) operator spaces. We call them Lambert and proto-Lambert spaces and pay more attention to the latter ones. The considered two tensor products lead to essentially different norms in the respective spaces. Moreover, the proto-Lambert tensor product is especially nice for spaces with the maximal proto-Lambert norm and in particular, for -spaces. At the same time the Lambert tensor product is nice for Hilbert spaces with the minimal Lambert norm.
In memoriam: Professor Charles Read
1. Introduction
The subject of the present paper is a structure on a linear space that, in a reasonable sense, is situated between the classical structure of a normed space and the structure of an abstract operator, or quantum space. The latter structure was discovered about 35 years ago; nowadays the theory of operator spaces, sometimes called quantum functional analysis, is a well developed area of modern functional analysis, presented in widely known textbooks [5, 17, 15, 1]. Leading idea of that area was to investigate not just norm on a given linear space, say , but a sequence of norms , each one on the space of matrices with entries in , mutually related by certain natural conditions, the so-called Ruan axioms.
The above-mentioned intermediate structure appeared in 2002 in the Ph.D thesis of A. Lambert [11]; his superviser was G.Wittstock, one of the founding fathers of operator space theory. It was Lambert who suggested to consider, for every , not a norm on the matrix space but a norm on the column space of length , consisting of vectors from . He called the resulting sequence of norms operator-sequential norm on , if it satisfied two natural axioms. Lambert developed a beautiful and rich theory, in particular, clarifying (putting in proper perspective) some aspects of quantum as well as classical functional analysis. As one of the achievements of his theory, Lambert shows that for his spaces there exists a concept of tensor product with good properties. One can say that his tensor product is on the way from the projective tensor product of normed spaces to the operator-projective tensor product of quantum spaces.
In the present paper we study some properties of the Lambert’s tensor product. But we also pay much attention to a certain natural generalization of Lambert’s “operator–sequential space”. It is called a proto-Lambert space, and it arises when we assume that only the first of Lambert’s axioms for his spaces is fulfilled. Our point is that one can obtain many good things, if he considers proto–Lambert, and not, generally speaking, Lambert spaces.
Note that these proto–Lambert spaces are, after translation into an equivalent language, an important particular case of the so–called –multi–normed spaces. The latter were quite recently (just in time when this paper was under preparation) introduced and successfully studied by H.Dales, N.Laustsen, T.Oikhberg and V.Troitsky in the memoir [3]. Proto–Lambert spaces correspond to the case of . Thus, they share the general properties of –multi–normed spaces, investigated in the cited memoir. However, the properties, considered in our paper, rely heavily on the specific advantages of that particular , actually the same advantages that distinguish among all .
Our presentation will be given in the frame–work of the so–called non–coordinate (“index–free”) approach to the structures in question, similar to what was done in [9] for operator spaces. Thus, it is different from the original approach in [11]. Both ways of presentation have their own advantages (and drawbacks), but in questions, revolving around tensor products, the non–coordinate, “index–free” presentation is, in our subjective opinion, more elegant and transparent.
The contents of the paper are as follows.
The second section contains the definition of a proto–Lambert (still not Lambert) space and some examples, notably the space of relevant –valued measurable functions on . (Running ahead, we note that this space is a Lambert space only when ).
In Section 3, we consider classes of maps that reflect in a proper way the structure of a proto–Lambert space: –bounded and –contractive linear and bilinear operators. We prove that some classes of (bi)linear operators have the relevant properties and, in particular, some bilinear operators, related to –spaces and to “classical” projective tensor products of normed spaces, are completely contractive.
In Section 4, we show that proto–Lambert spaces have their own tensor product
“ ”, possessing the universal property for the class of –bounded bilinear operators between these spaces.
In Section 5, we concentrate on the case when one of the tensor factors is a space with the so–called maximal proto-Lambert norm, in particular, an –space, and give an explicit description of the resulting proto-Lambert tensor product. As a corollary, we obtain a version, for proto-Lambert spaces, of the Grothendieck’s theorem on tensoring by –spaces in the “classical” context of Banach spaces: cf., e.g., [6, §2,no2].
In Section 6, we pass from proto–Lambert to Lambert spaces, adding in the relevant definition the non-coordinate analogue of the second of the Lambert’s axioms. We introduce the respective version “ ”of Lambert’s “maximal tensor product” of his Operatorfolgenräume and prove its existence.
We have seen in Section 5 that the proto-Lambert tensor product is especially nice for –spaces. In Section 7 we show that the Lambert (without “proto–”) tensor product is nice for Hilbert spaces. Namely, if we equip both of Hilbert spaces with the so–called minimal Lambert norm, then their completed Lambert tensor product is again a Hilbert space with the same structure.
In the last Section 8, we compare both tensor products,“ ” and “ ”, and show that the first one provides, generally speaking, essentially greater norms. In particular, for every we display a certain element in the amplification of the tensor square of a certain Lambert space. It turns out that the norm of this element, provided by the proto–Lambert tensor product, is , whereas the norm, provided by the Lambert tensor product, is .
2. Proto-Lambert spaces and their examples
To begin with, we choose an arbitrary, separable, infinite-dimensional Hilbert space, denote it by and fix it throughout the whole paper. The identity operator on will be denoted by .
As usual, by we denote the space of all bounded operators between the normed spaces and , endowed with the operator norm. We write instead of , and also instead of .
If are pre–Hilbert spaces, , we denote by the rank 1 operator, taking to . Note that we have .
The symbol is used for the (algebraic) tensor product of linear spaces and for elementary tensors. The symbols and denote the non–completed projective and injective tensor product of normed spaces, respectively, and the symbol is used for the non-completed Hilbert tensor product of pre–Hilbert spaces. The symbols , and are used for the respective completed tensor products. The complex–conjugate space of a linear space is denoted by .
In what follows we need the triple notion of the so-called amplification. First, we amplify linear spaces, then linear operators and finally bilinear operators. Note that these amplifications differ from the amplifications, serving in the theory of quantum spaces (cf. [9]).
The amplification of a given linear space is the tensor product . Usually we briefly denote it by , and an elementary tensor, say , by . Note that is a left module over the algebra with the outer multiplication “ ”, well defined by .
Remark 2.1**.**
In the non-coordinate presentation of the operator space theory the amplification of is , where is the space of finite rank bounded operators on . But ; so, passing to the “non-coordinate Lambert theory”, we replace the whole tensor product by its first factor. (One can observe a similar transfer in the coordinate presentation: we replace by ).
Note that the transfer from to was actually used in the “non-coordinate” proof of the injective property of the Haagerup tensor product of operator spaces [9, Section 7.3] (such a property was discovered by Paulsen/Smith [16]).
Definition 2.2**.**
A semi-norm on is called proto-Lambert semi-norm or briefly -semi-norm on , if the left -module is contractive, that is we always have the estimate . The space , endowed by a -semi-norm, is called semi-normed proto-Lambert space or briefly semi-normed -space). If the semi-norm in question is actually a norm, we speak, naturally, about a normed proto-Lambert ( = normed –) space, and in this case we often omit the word “normed”.
A semi-normed –space becomes semi-normed space (in the usual sense), if for we set , where is an arbitrary vector with . Clearly, the result does not depend on a choice of . The obtained semi-normed space is called underlying space of a given -space, and the latter is called a –quantization of a former. (We use such a term by analogy with quantizations in operator space theory; see, e.g., [4], [5] or [9]). Obviously, for all and we have .
It is easy to verify that the space of scalars, , has the only –quantization, given by the identification .
Proposition 2.3**.**
Let be a semi-normed –space with a normed underlying space. Then the –semi-norm on is a norm.
Proof.
Take and represent it as , where are linearly independent, and . Further, take with and for . Then . Therefore we have , hence . ∎
Example 2.4**.**
Every normed space, say , has, generally speaking, a lot of –quantizations. We distinguish two of them. The –space, denoted by , respectively , has the –norm, obtained by the endowing with the norm of , respectively of . We denote the norm on the former and on the latter space by and , respectively; accordingly, the corresponding -quantizations of will be called maximal and minimal. Clearly, the -norm of is the greatest of all -norms of -quantizations of . The adjective “minimal” will be justified a little bit later.
Example 2.5**.**
Let be a measure space, the relevant Banach space, a normed -space (say, in the simplest case). We want to endow the “classical” space (of relevant -valued functions) with a -norm.
As a preliminary step, consider the normed space of relevant -valued measurable functions on and observe that it is a left -module with the outer multiplication defined by . A routine calculation shows that this module is contractive.
Now consider the operator , well defined on elementary tensors by taking to the -valued function , and introduce the semi-norm on , setting . It is easy to veryfy that is a -module morphism. Thus there is an isometric morphism of the module into a contractive module. It follows immediately that the former module is itself contractive, that is the introduced semi-norm on is a -semi-norm on . Further, for and we have for all . Therefore for we have
[TABLE]
We see that the underlying semi-normed space of the constructed -space is . Therefore Proposition 2.3 guarantees that the introduced -seminorm on is actually a norm.
Example 2.6**.**
We want to introduce a –quantization of the “classical” tensor product of normed spaces, when one of tensor factors, say, to be definite, , is a –space.
Consider the linear isomorphism and introduce a norm on by setting . The space , as a projective tensor product of a normed space and a contractive -module, has itself a standard structure of a contractive -module. Since is a -module morphism, the same is true with . Thus becomes a –space, and we must show that its underlying normed space is exactly .
Denote the norm on and on by . Take arbitrary . It is easy to check that the norm on is a cross-norm, we have . Therefore our task is to show that, for , we have .
Identifying -modules and by means of , represent as . Set . Obviously, for some . Therefore . But we have . It follows that . Consequently, , and we are done.
From now on we denote the constructed –quantization of again by .
3. -bounded linear and bilinear operators
Suppose we are given an operator between linear spaces. Denote, for brevity, the operator (taking to ) by and call it amplification of . Obviously, is a morphism of left -modules.
Definition 3.1**.**
An operator between seminormed –spaces is called –bounded, -contractive, –isometric, –isometric isomorphism, if is bounded, contractive, isometric, isometric isomorphism, respectively. We set .
If is bounded, being considered between the respective underlying seminormed spaces, we say that it is (just) bounded, and denote its operator seminorm, as usual, by . Clearly, every –bounded operator is bounded, and .
Some operators between –spaces, bounded as operators between underlying spaces, are “automatically” –bounded. Here is the first phenomenon of that kind.
Proposition 3.2**.**
Let be a –space. Then every bounded functional is –bounded, and .
Proof.
Clearly, it is sufficient to show that for every we have . Recall that . Presenting as a sum of elementary tensors, we see that, for every we have and also for some . It follows that , hence . ∎
Thus for every –space and we have , where supremum is taken over all . But such a supremum is exactly . This justifies the word “minimal” in Example 2.4.
A –space is called complete (or Banach), if its underlying normed space is complete. As in the “classical” context, for every –space there exists its completion, which is defined as a pair , consisting of a complete –space and an –isometric operator, such that the same pair, considered for respective underlying spaces and operators, is the “classical” completion of as of a normed space. The proof of the respective existence theorem repeats, with obvious modifications, the simple argument given in [9, Chapter 4] for quantum spaces. We only recall that the norm on is introduced with the help of the natural embedding of into , the “classical” completion of . This embedding is well defined by taking an elementary tensor to , where converges to ; hence can be considered as a converging sequence in . (Here, of course, we identify with a subspace of and with a subspace of .)
It is easy to observe that the characteristic universal property of the “classical” completion has its proto–Lambert version. Namely, if is the completion of a –space a –space and is an –bounded operator, then there exists a unique –bounded operator , which is, in obvious sense, the continuous extension of . Moreover, we have .
Distinguish the following useful fact. Its proof is the same, up to obvious modifications, as of Proposition 4.8 in [9].
Proposition 3.3**.**
Let be an –isometric isomorhism between –spaces. Then its continuous extension is also an –isometric isomorhism.
We pass to bilinear operators. By virtue of Riesz/Fisher Theorem, we can arbitrarily choose a unitary isomorphism and fix it throughout the whole paper. Following [8], for we denote the vector by , and for we denote the operator on by ; obviously, the latter is well defined by the equality . Evidently, we have
[TABLE]
If is a linear space, and , we set , where sends to . Thus, this version of the operation ‘ ’ is well defined on elementary tensors by . Similarly, we introduce by . By (3.1), , where is an isometry. Therefore, if is a –space, we have
[TABLE]
Now let be a bilinear operator between linear spaces. Its amplification is the bilinear operator , associated with the 4-linear operator . In other words, is well defined on elementary tensors by .
Definition 3.4**.**
A bilinear operator between -spaces is called -bounded, respectively, -contractive, if its amplification is (just) bounded, respectively, contractive. We put .
It is easy to see that an -bounded bilinear operator, being considered between respective underlying (semi-)normed spaces is just bounded, and . On the other hand, similarly to linear operators, sometimes the “classical” boundedness automatically implies the –boundedness.
Proposition 3.5**.**
Let be -spaces, , and bounded functionals. Then the bilinear functional is –bounded and .
Proof.
Since , it suffices to show that . Indeed, combining the obvious formula , Proposition 3.2 and (3.1), we have . ∎
Proposition 3.6**.**
Let and be the -spaces from Example 2.5. Then the bilinear operator , taking to the -valued function , is -contractive.
Proof.
Recall the isometric operator and distinguish its particular case . Also consider the bilinear operator , taking a pair to the –valued function . With the help of (3.2), a routine calculation gives .
Now consider the diagram
[TABLE]
It is easy to check on elementary tensors in the respective amplifications that it is commutative. Therefore, for and we have
[TABLE]
∎
We shall denote the completion of the -space from Example 2.6 by . Clearly, it is the –quantization of the “classical” Banach space .
Proposition 3.7**.**
Let be a normed space, a –space, the resulting –space. Then the canonical bilinear operator , considered between the respective –spaces, is –contractive. Moreover, , that is , considered with as its range, is also –contractive.
Proof.
Consider the trilinear operator . It follows from (3.2) that is contractive. Therefore the bilinear operator , is also contractive.
Recall the isometric operator from Example 2.6 and distinguish its particular case, the “flip” . Consider the diagram
[TABLE]
which is obviously commutative. Therefore a routine calculation shows that for and we have , and we are done. ∎
4. Proto-Lambert tensor product
We proceed to show that -bounded bilinear operators between -spaces can be linearized with the help of a specific tensor product “ ”, which seems to be new. But before, since in this paper we shall come across several varieties of a tensor product, it is convenient to give a general definition, embracing all particular cases.
Let us fix, throughout this section, two arbitrary chosen –spaces and . Further, let be a subclass of the class of all normed -spaces.
Definition 4.1**.**
A pair that consists of and an -contractive bilinear operator is called tensor product of and relative to if, for every and every –bounded bilinear operator , there exists a unique –bounded operator such that the diagram
[TABLE]
is commutative, and moreover .
Such a pair is unique in the following sense: if are two pairs, satisfying the given definition for a certain , then there is a –isometric isomorphism , such that . This fact is a particular case of a general–categorical observation concerning the uniqueness of an initial object in a category; cf., e.g., [13], [7, Theorem 2.73]. However, the question about the existence of such a pair depends on our luck with the choice of the class .
Definition 4.2**.**
The tensor product of and relative to the class of all normed –spaces is called non-completed –tensor product of our spaces.
We shall prove the existence of such a pair, displaying its explicit construction.
First, we need a sort of “extended” version of the diamond multiplication, this time between elements of amplifications of linear spaces. Namely, for we consider the element , where is the canonical bilinear operator. In other words, this “diamond operation” is well defined by
Proposition 4.3**.**
Every can be represented as for some natural and .
Proof.
Evidently, it suffices to consider the simplest case, when . Take arbitrary non-zero ; then we have , for some . Consequently, . ∎
As a corollary, the operator , associated with the 3-linear operator , is surjective. Thus can be endowed with the seminorm of the respective quotient space of , denoted by . In other words, we have
[TABLE]
where the infimum is taken over all possible representations of as indicated in Proposition 4.3.
Proposition 4.4**.**
The seminormed –module is contractive.
Proof.
Clearly, is a contractive left -module as a tensor product of the left -module and the linear space . Therefore is the image of a contractive left -module with respect to a quotient map of seminormed spaces. Since the latter map is a module morphism, we easily obtain the desired property. ∎
Thus, is a –seminorm on . Denote the respective –space by .
Observe the obvious estimate
[TABLE]
Since , we see that , considered with range , is -contractive.
Looking at the underlying spaces and using (3.1), we easily obtain that
[TABLE]
(In fact, in (4.2) and (4.3) we have the equality, but we shall not discuss it now).
Proposition 4.5**.**
Let be a -space, an –bounded bilinear operator, the associated linear operator. Then is –bounded, and .
Proof.
Take and represent it according to Proposition 4.3. We remember that is a -module morphism. Therefore, using the obvious equality , we have that , hence
[TABLE]
From this, using 4.1, we obtain that . Thus our is –bounded, and . The converse inequality easily follows from (4.2). ∎
Proposition 4.6**.**
(As a matter of fact),* is a norm.*
Proof.
By Proposition 2.3, it is sufficient to show that, for a non-zero elementary tensor we have . Since and are normed spaces, then, as it is known, there exist bounded functionals such that . Now consider in the previous proposition . By virtue of Proposition 3.5, is –bounded, hence the operator is bounded. At the same time , and we are done. ∎
Combining Propositions 4.5 and 4.6, we immediately obtain
Theorem 4.7**.**
(Existence theorem).* The pair is a non-completed -tensor product of and .*
We can also speak about the “completed” version of Definition 4.2.
Definition 4.8**.**
The tensor product of and relative to the class of all complete –spaces is called completed, or Banach –tensor product of our spaces.
Proposition 4.9**.**
The Banach –tensor product of –spaces and exists, and it is the pair , where is the completion of the –space , and acts as , but with range .
Proof.
This is an immediate corollary of the universal property of the completion. ∎
5. Tensoring by maximal –spaces and by
In this section we show that for certain concrete tensor factors their –tensor product also becomes something concrete and transparent.
Theorem 5.1**.**
Let be a normed space, a –space, the –space from Example 2.6. Then there exists an –isometric isomorphism , acting as the identity operator on the common underlying linear space of our –spaces. As a corollary (see Proposition 3.3), there exists an –isometric isomorphism , which is the extension by continuity of .
Proof.
Consider from Proposition 3.7. By Proposition 4.7, gives rise to the –contractive operator , acting as in the formulation. Therefore it is sufficient to show that the operator does not decrease norms of elements.
Take . Identifying the latter space with , we can represent as . Choose and denote by the isometric operator . We easily see that
[TABLE]
From this, by (4.1), we obtain the estimate . Hence, we have
[TABLE]
where the infimum is taken over all representations of in the indicated form.
Now look at . It is the same , only considered in the normed space . It follows that is exactly the infimum, indicated in (5.1). Thus, and we are done. ∎
Remark 5.2**.**
As an easy corollary of this theorem, we have, up to an –isometric isomorphism, that for all normed spaces and . In particular, we have , where is the Banach space of trace class operators on .
Now we want to apply this theorem to the description of –tensor products in the situation, when one of tensor factors is from Example 2.5. As a “classical” prototype of that description, we recall the following theorem, due to Grothendieck.
Let be a measure space, a Banach space. Then there exists an isometric isomorphism , well defined by taking an elementary tensor to the -valued function .
Theorem 5.3**.**
Let be a measure space, a complete –space. Then there exists an –isometric isomorphism , well defined in the same way as in the Grothendieck theorem.
Proof.
First we note that the -norm on , introduced in Example 2.5, coincides with the maximal -norm, introduced in Example 2.4. This is because the identity operator participates in the commutative diagram
[TABLE]
where is the restriction of , is a particular case of from Example 2.5, and these operators, as well as “flip”, are isometric.
Combining this with Theorem 5.1, we come to the –isometric isomorphism
.
Now we show that the isometric isomorphism is –isometric with respect to the –norm in the latter space, taken from Example 2.5. We see that is the extension by continuity (cf. Section 3) of its restriction to , and this restriction maps the latter space onto a dense subspace of . Therefore, by virtue of Proposition 3.3, it is sufficient to show that the operator is –isometric, or, equivalently, that is isometric. But the latter participates in the commutative diagram
[TABLE]
where and (with as ) are operators from the Examples 2.5 and 2.6, respectively, and is the restriction to the respective subspaces of the isometric isomorphism, provided by the Grothendieck theorem (this time with the completion of in the role of ). Since and are isometric, then is also isometric.
After this, to end the proof, it remains to set . ∎
Like in the “classical” context of Grothendieck theorem, we can distinguish a transparent particular case, concerning integrable functions of two variables.
Proposition 5.4**.**
Let be two measure spaces, their product measure space. Then up to an –isometric isomorphism. More precisely, there exists an –isometric isomorphism between the indicated –spaces, well defined by taking to the function .
Proof.
By virtue of Theorem 5.3, it is sufficient to show that the “classical” isometric isomorphism , taking the -valued integrable function to the function , is –isometric. Since every is (finite) sum of elementary tensors, a routine calculation, using the construction of the –norm on relevant –spaces and, of course, Fubini Theorem, shows that indeed . ∎
Remark 5.5**.**
The results of this section can lead to the conjecture that something similar, at least in formulations, can be said in the context of the so-called proto-quantum spaces in the operator space theory (cf. [9, Ch. 2]). It happened that to some extent it is indeed so, but proofs of crucial facts become more complicated. However, we do not discuss it in the present paper.
6. Lambert spaces and the Lambert tensor product
From now on we concentrate on a special type of -spaces, which is a non-coordinate form of Operatorfolgenräume of Lambert.
If is a left -module and , we say that a projection is a support of , if . A contractive seminormed left -module is called semi–Ruan module, if it has the following “property (sR)”: for with orthogonal supports we have
[TABLE]
hence for every with pairwise orthogonal supports we have .
(Semi-Ruan modules were introduced and studied in [10]. Then, in more general context and with more advanced results, they were investigated in [18]. However, earlier the same class of modules actually cropped up in [14]).
Definition 6.1**.**
For a linear space , a seminorm on is called Lambert seminorm, or briefly, –seminorm, if the left -module is a semi–Ruan module. In other words, –seminorm is a –seminorm, satisfying the property (sR). The linear space, endowed with an –seminorm, is called seminormed Lambert space, or briefly seminormed –space. In a similar way, we use the term normed Lambert space ( = normed –space), but in this case we usually omit the word “normed”.
As to examples of –spaces, it is easy to see that is actually an –space for all normed spaces , whereas is, generally speaking, not an –space. The –space is an –space if, and only if . (Of course, we suppose here that our measure space is not a single atom). Finally, if is a pre–Hilbert space, we can endow it with a so-called Hilbert -norm, obtained after identifying with .
The following example will not be used in this paper. However, we mention it because of its importance in the theory of –spaces.
Example 6.2**.**
(“Concrete –space”). Suppose that is given as a subspace of for some Hilbert spaces . Consider the operator , well defined by taking to the operator . Introduce a seminorm on , setting . Then it is not difficult to show that is actually a norm, making an –space.
As a matter of fact, this example is, in a sense, universal: every –space is –isometrically isomorphic to some concrete, i.e. operator space. This assertion can be rather quickly derived from the non–coordinate version of the result of Lambert [11, Folgerung 1.3.6] about the embedding of his spaces into products of copies of . However, details are outside the scope of this paper.
From now on we proceed to a special tensor product within the class of –spaces. As we shall see, its definition is parallel to that of the –tensor product, but the resulting object turns out to be a quite different thing.
Let us fix, for a time, two -spaces and .
Definition 6.3**.**
The tensor product of and relative to the class of all normed –spaces is called non-completed –tensor product of our spaces.
Remark 6.4**.**
This tensor product is a “non–coordinate’ version of what Lambert calls maximal tensor product. Indeed, in a sense, it is maximal within a reasonable class of tensor products, and it plays in Lambert’s theory a role similar to the role of the operator-projective tensor product in the theory of quantum ( = abstract operator) spaces. See details in [11, 3.1.1].
We shall prove the existence of this kind of tensor product, displaying its explicit construction. Such a construction and the crucial Proposition 6.7 can be considered as the “non–coordinate” version of what was done by Lambert.
Recall the diamond product in all its varieties. The following proposition concerns all linear spaces without any additional structure. First, note two identities
[TABLE]
that can be easily checked on elementary tensors.
Proposition 6.5**.**
Every can be represented as , , where have pairwise orthogonal supports.
Proof.
Represent as in Proposition 4.3. Choose isometric operators with pairwise orthogonal final projections. Set
[TABLE]
Since , the identities (6.1) imply that
[TABLE]
[TABLE]
Finally, the elements have orthogonal supports . ∎
Now, for a given , we introduce the number
[TABLE]
where the infimum is taken over all possible representations of in the form indicated by Proposition 6.5. We distinguish the obvious
Proposition 6.6**.**
For every and we have .
Proposition 6.7**.**
The function is a seminorm on .
Proof.
Let , , where the elements , respectively , have pairwise orthogonal supports , respectively . Take arbitrary isometric operators with orthogonal final projections and observe that
[TABLE]
The elements have supports , whereas the elements have supports ; hence, taking together, these elements have pairwise orthogonal supports. Therefore, by virtue of Proposition 6.6 and of (6.2), we have that
[TABLE]
Combining this with the operator -property, we obtain that
[TABLE]
Further, obviously we can assume that
[TABLE]
Therefore we have
[TABLE]
From this with the help of (6.2) we obtain that .
The property of seminorms, concerning the scalar multiplication, is immediate. ∎
Proposition 6.8**.**
The module has the property (sR).
Proof.
Let have orthogonal supports and . Choose their arbitrary suitable representation, say , . Take as in Proposition 6.7; then, by a similar argument, we have
[TABLE]
Evidently, we can assume that and . Therefore, by the operator -property, we have
[TABLE]
Consequently, by (6.2), we have that . ∎
Combining the last three propositions, we see that * is an –seminorm on .* We denote the resulting semi-normed -space by .
Like in the “–case” (cf. (4.2)), we have the obvious estimation
[TABLE]
Consequently, the canonical bilinear operator is -contractive.
Proposition 6.9**.**
Let be an -space, an –bounded bilinear operator, the associated linear operator. Then is -bounded, and .
Proof.
Take and represent it as in Proposition 6.5. Since is a -module morphism, and for all , we have that .
Now look at for some . Obviously we have . This implies that the elements have pairwise orthogonal supports, namely . Therefore, since is an -space, we have
[TABLE]
[TABLE]
From this, using (6.2), we obtain the estimate . Consequently, . The converse inequality easily follows from (6.3). ∎
Proposition 6.10**.**
(As a matter of fact),* is a norm.*
Proof.
Since is an –space, the argument in Proposition 4.6 works with obvious modifications. ∎
Combining Propositions 6.6–6.10, we immediately obtain
Theorem 6.11**.**
(Existence theorem)* The pair is a non-completed –tensor product of and .*
The non-completed –tensor product has an obvious “completed” version. The definition of the completed –tensor product of two –spaces and the relevant existence theorem repeat what was said about completed –tensor product, only we replace “” by “” and the subscript “” by “”. Thus, the completed –tensor product of two –spaces and exists, and it is the pair , where is the completion of the –space , and acts as , but with range .
Remark 6.12**.**
We do not discuss here the non-coordinate version of another tensor product, the so–called minimal, introduced in [11, 3.1.3]. Unlike the maximal tensor product (cf. Remark 6.4), it corresponds, in a sense, to the operator–injective tensor product in the operator space theory.
7. The Lambert tensor product of Hilbert spaces
As we have seen before, the –tensor product is especially good for maximal –spaces and -spaces with their specific –norm. Here we shall show that, in the same sense, the –tensor product is good for Hilbert spaces with the minimal –norm, that is of Example 2.4. Throughout this section, all Hilbert and pre–Hilbert spaces are supposed to be endowed with that –norm.
We shall use one of equivalent definitions of the minimal –norm. It is a particular case of the definition of the norm in the injective tensor product of two normed spaces, expressed by means of an injective operator (see, e.g.,[2, pp. 62-63]). In the particular case of a pre-Hilbert space we obtain the following observation that we distinguish for the convenience of references.
Proposition 7.1**.**
There is an isometric operator , well defined by .
This, in its turn, implies
Proposition 7.2**.**
(i)* For , where and are orthonormal systems in and respectively, we have .*
(ii)* Every can be represented as , where and are orthonormal systems in and respectively, .*
Proof.
(i) is immediate. To prove (ii), we recall that , being a finite rank operator between pre–Hilbert spaces, has the form , where and have the indicated properties. (E.g., the argument in [7, Section 3.4] works with obvious modifications). It follows that have the desired representation. ∎
Proposition 7.3**.**
Let and be pre-Hilbert spaces. Then the canonical bilinear operator is -contractive.
Proof.
As we know, takes a pair to . By Proposition 7.2(ii), has the form with the mentioned properties, and has the form with similar properties. Consequently,
[TABLE]
where the systems and are orthonormal in and , respectively. Therefore, by Proposition 7.2(i), . ∎
Theorem 7.4**.**
Let and be pre–Hilbert spaces. Then we have and . Both equalities are up to an –isometric isomorphism, well defined by taking an elementary tensor to the same , but considered in and , respectively.
Proof.
Since from the previous proposition has values in an –space, it gives rise to the –contractive operator , which is the identity map of the underlying linear spaces. Our task is to show that it is an –isometric isomorphism.
Take . Since it is the sum of several elementary tensors of the form , it easily follows that can be represented as , where and are orthonormal systems in and , respectively, and . Applying to Proposition 7.1, we see that is the norm of the operator . Set . Since , the pre–Hilbert space decomposes as , and takes to 0. Therefore , where is the restriction of to . Thus, we have
[TABLE]
Now return to our initial . Choose arbitrary orthonormal systems and in . Set and . We see that . Consider the finite rank operator
[TABLE]
An easy calculation shows that . Further, as a particular case of Proposition 7.1, . Finally, if we set and denote by the restriction of to , we obviously have . Combining this with (6.2), we obtain that
[TABLE]
The systems and are orthonormal bases in and , respectively, and . It follows that . Combining this with (7.1) and (7.2), and remembering that is contractive, we obtain that .
This gives the first of –isometric isomorphisms, claimed in the theorem. The extension of the latter by continuity provides the second –isometric isomorphism. ∎
8. Comparison of both tensor products
In conclusion, we want to compare – and –tensor products. Since the class of -spaces is larger than that of -spaces, it immediately follows from the definition of both tensor products in terms of their universal properties, that . We shall show that the first number is sometimes essentially greater than the second number.
Endow the space with the Hilbert –norm (see above), and the space with the -norm from Example 2.5.
Proposition 8.1**.**
The bilinear operator , acting as the coordinate-wise multiplication, is -contractive.
Proof.
Our task is to show that the bilinear operator is contractive. Consider the isometric operators and ; both are well defined by taking an elementary tensor to . Consider the diagram
[TABLE]
where takes a pair to . Since the Cauchy-Schwarz inequality implies that , the latter sequence indeed belongs to , and, moreover, is contractive.
Now observe that our diagram, as one can easily verify on elementary tensors, is commutative. Consequently, for we have . ∎
Have a look at the – and –tensor square of the same Hilbert –space . Fix , denote by sequences and choose an arbitrary orthonormal system, say , in . In what follows, we set
[TABLE]
It obviously can be presented as
[TABLE]
where , and .
Proposition 8.2**.**
We have .
Proof.
Consider the operator , associated with from the previous proposition. Then it is –contractive together with the latter: in particular, . But we obviously have ; therefore, since we are in , we have . Consequently, . On the other hand, it follows from (8.1) that . ∎
Proposition 8.3**.**
(At the same time)* we have .*
Proof.
Consider the bilinear operator , acting as , but with the other range. Since the norm of an element in can only decrease, if we shall consider this element in , our is –contractive together with . But (contrary to !) is an –space; therefore the operator , associated with , is also –contractive. In particular, . Of course, is the same as in the previous proposition. However, since now we are in , we have , and hence .
On the other hand, since the elements form an orthonormal system, we obtain, by (8.1), that . ∎
Nevertheless, despite – and –tensor products of the same -spaces usually have essentially different norms, their underlying spaces coincide:
Proposition 8.4**.**
Let and be –spaces. Then the identity operator on the linear space is an isometric isomorphism, being considered as an operator between underlying spaces of –spaces and .
Proof.
Since the latter operator is obviously contractive, our task is to show that its inverse operator is also contractive. Denote by be the underlying normed space of , endowed with the minimal -norm (see Example 2.4). Since is –contractive, the same is true, if we consider with range . But, as we know, is an –space. Therefore gives rise to the –contractive operator between and , which is contractive as an operator between the underlying normed spaces. But the latter is, of course, the desired inverse operator. ∎
This research was supported by the Russian Foundation for Basic Research (grant No. 15-01-08392).
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