Diagonal Multilinear Operators on K\"othe Sequence Spaces
Ver\'onica Dimant, Rom\'an Villafa\~ne

TL;DR
This paper explores the structure of diagonal multilinear operators on K"othe sequence spaces, establishing new relationships with multiplier spaces and extending summing operator ideals to multilinear contexts.
Contribution
It introduces a novel analysis of multilinear ideals on K"othe sequence spaces and extends the concept of absolutely summing operators to multilinear mappings.
Findings
Characterization of diagonal multilinear operators on Lorentz sequence spaces.
Relationships between multilinear ideals and multiplier spaces.
Extension of absolutely summing operators to multilinear mappings.
Abstract
We analyze the interplay between maximal/minimal/adjoint ideals of multilinear operators (between sequence spaces) and their associated K\"othe sequence spaces. We establish relationships with spaces of multipliers and apply these results to describe diagonal multilinear operators from Lorentz sequence spaces. We also define and study some properties of the ideal of -summing multilinear mappings, a natural extension of the linear ideal of absolutely -summing operators.
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Diagonal multilinear operators on Köthe sequence spaces
Verónica Dimant and Román Villafañe
Departamento de Matemática y Ciencias, Universidad de San Andrés, Vito Dumas 284, (B1644BID) Victoria, Buenos Aires, Argentina and CONICET
Departamento de Matemática - Pab I, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, (C1428EGA) Buenos Aires, Argentina and IMAS - CONICET.
Abstract.
We analyze the interplay between maximal/minimal/adjoint ideals of multilinear operators (between sequence spaces) and their associated Köthe sequence spaces. We establish relationships with spaces of multipliers and apply these results to describe diagonal multilinear operators from Lorentz sequence spaces. We also define and study some properties of the ideal of -summing multilinear mappings, a natural extension of the linear ideal of absolutely -summing operators.
Key words and phrases:
Multilinear ideals, Köthe sequence spaces, Diagonal multilinear operators
2010 Mathematics Subject Classification:
46A45, 47L22,47H60
Both authors were partially supported by CONICET PIP 2014-0483 and ANPCyT PICT 2015-2299. The second author was also partially supported by UBACyT 20020130100474 BA
Introduction
Trying to describe the connections between different ideals of linear operators (and the internal structure of them), it began, in the 70’s, the study of diagonal linear operators on spaces with the work of Carl [10], König [27] and Pietsch [35]. By means of limit orders they have compared different ideals of linear operators and described their diagonal elements. Next, this research continued in the context of Köthe sequence spaces, leading to the so called multipliers. This notion has its root in harmonic analysis where it has appeared within the study of Fourier series and Fourier transformation. Later, it has also been employed in many other contexts as, closer to our framework, Banach function spaces and Banach sequence spaces [14, 5, 2, 24, 25, 26].
The concept of ideal of multilinear operators was also introduced by Pietsch in [36] and it has been developed by several authors since then. Even if the multilinear theory has its roots in the linear one, it had its own development that led to different situations involving new interesting techniques. Some usual linear ideals (absolutely -summing operators, for instance) have many natural diverse extensions to the multilinear setting which enrich the theory by showing interesting situations that do not appear in the linear context (see, for instance [34, 6, 33]). We refer to [19, 20] for general results about ideals of multilinear mappings. For a presentation of the multilinear theory focused in the interplay with polynomials and holomorphic mappings the books [16] and [32] are the classical references.
The introduction of limit orders for studying ideals of multilinear forms appeared in [7] and similar methods were used for general sequence spaces in [8]. There, it was defined the Köthe sequence space associated to an ideal of multilinear forms acting on Köthe sequence spaces. Later, in [9], this kind of study reached vector valued multilinear ideals between -spaces.
Here, we propose a more general approach of the relationship between ideals of multilinear operators (acting on Köthe sequence spaces) and their respective associated sequence spaces. In particular, we analyze if for a maximal (minimal) ideal its associated sequence space is also maximal (minimal). In addition, we relate the sequence spaces associated to an ideal and its adjoint.
The spaces of multipliers appear to give us new descriptions of our sequence spaces associated to multilinear ideals. As an application, we can characterize diagonal multilinear operators from Lorentz sequence spaces.
In the final section, we define the ideal of -summing multilinear mappings, as a natural extension of the linear ideal of absolutely -summing operators. We obtain some properties of this multilinear ideal by means of our previous results on associated sequence spaces.
1. Preliminaries
Throughout the paper we will use standard notation of the Banach space theory. We will consider complex Banach spaces and their duals will be denoted by . We will write if they are topologically isomorphic and if they are isometrically isomorphic. The symbol means an isometric injection and the symbol means a norm one inclusion (not necessarily isometric).
Sequences of complex numbers will be denoted by , where each . By a Köthe sequence space (also known as Banach sequence space) we mean a Banach space such that and with the normal property: if and satisfy for all then and . Note that in a Köthe sequence space , given and a sequence of complex numbers with for all , we should have and (where the product is coordinatewise). For each , we consider the -dimensional truncation (where denotes the -th canonical unit vector: for all ). The canonical inclusion and projection will be denoted by and .
The Köthe dual of a Köthe sequence space , defined as
[TABLE]
is a Köthe sequence space with the norm
[TABLE]
It is well known (see, for example, [3, Lemma 2.8]) that if and only if the series converges for all . Also, Note that holds for every . In the same way that we define the Köthe dual, we can considerate and we say that is Köthe reflexive if .
Following [29, 1.d], a Köthe sequence space is said to be -convex (with ) if there exists a constant such that for any choice we have
[TABLE]
We denote by the smallest constant which satisfies the inequality.
The minimal kernel of a Köthe sequence space is defined as the set
[TABLE]
which is also a Köthe sequence space if we endow it with the norm
[TABLE]
The maximal hull of a Köthe sequence space is defined as the set
[TABLE]
which results a Köthe sequence space if the norm is given by
[TABLE]
A Köthe sequence space is said to be maximal if and minimal if . For example, a Köthe dual is always maximal.
For a detailed study and general facts about Köthe sequence spaces, see [28, 29].
The space of continuous linear operators between two Banach spaces and will be denoted by and the space of continuous -linear mappings from to by . This is a Banach space with the usual sup norm, given by . If we will write and whenever we will simply write or .
Ideals of multilinear forms and multilinear operators were introduced by Pietsch in [36]. Let us recall the definition. An ideal of multilinear operators is a subclass of , the class continuous multilinear operators, such that, for any Banach spaces and the set
[TABLE]
satisfies
- (1)
If , then . 2. (2)
If and for and , then . 3. (3)
The mapping belongs to for any and .
An ideal of multilinear operators is called normed if for each and there is a norm in such that
- (1)
. 2. (2)
.
If is complete for every Banach spaces we say that is a Banach ideal of multilinear operators (or just, a Banach multilinear ideal).
The minimal kernel of is defined as the composition ideal , where stands for the ideal of approximable operators (i. e. the closure of the ideal of finite rank linear operators). In other words, a multilinear operator belongs to if it admits a factorization
[TABLE]
where and . The -norm of is given by , where the infimum runs over all possible factorizations as in (1). is the smallest Banach multilinear ideal whose norm coincides with over finite dimensional spaces. This and other properties of can be found in [17]. An ideal of multilinear operators is said to be minimal if .
If is a normed ideal of -linear operators, the maximal hull of is defined as the class of all -linear operators such that
is finite, where is the inclusion from into , is the projection of over and () represents the class of subspaces of of finite dimension (codimension). is always complete and it is the largest ideal whose norm coincides with over finite dimensional spaces. A normed ideal is called maximal if .
If is an ideal of multilinear operators, its associated tensor norm is the unique finitely generated tensor norm , of order , satisfying
[TABLE]
for every finite dimensional spaces . In that case we write . A detailed study of tensor norms and their relationship with linear/multilinear ideals can be found in [12, 17, 18, 19, 20]. Note that , and have the same associated tensor norm since they coincide isometrically on finite dimensional spaces.
Given a normed ideal associated to a finitely generated tensor norm , its adjoint ideal is defined by
[TABLE]
The adjoint ideal is called dual ideal in [17]. The tensor norm associated to is denoted by . It is well known, by the representation theorem for maximal ideals [20, Section 4.5], that is always maximal and .
Recall that a multilinear operator is (Grothendieck) integral if there exists a regular -valued Borel measure , of bounded variation on such that
[TABLE]
for every The space of Grothendieck integral -linear operators is denoted by and the integral norm of a multilinear operator is defined as , where the infimum runs over all the measures representing . This ideal is maximal and its adjoint is the ideal of all continuous multilinear mappings.
2. Interplay between an ideal and its associated sequence space
For Köthe sequence spaces and , an -linear operator is said to be diagonal if there exists a bounded sequence such that for all we can write
[TABLE]
In this case, we say that is the diagonal multilinear operator associated with and we denote it . Given , an ideal of multilinear operators, we define the sequence space associated with as
[TABLE]
This is a Köthe sequence space endowed with the norm . When we simply write .
The following finite-dimensional identifications are easy to check. They will enable us to prove a duality result next.
[TABLE]
[TABLE]
Our aim is to analyze first the relationship between minimal or maximal ideals with their respective associated sequence spaces and later the interplay between the sequence space associated with an ideal and its adjoint.
In [8, Proposition 5.5 and 5.6] it is proved that if is a maximal ideal of multilinear forms (scalar valued multilinear operators), then and . In both cases the key of the proofs is the use of [8, Lemma 5.4], which is a version of the Density Lemma [12, 13.4] for diagonal multilinear forms. So, we begin by proving a new version of this Lemma in our vector-valued context and then we can establish some similar results to those given above.
Lemma 2.1**.**
Let be a maximal ideal of -linear operators and let and be Köthe sequence spaces. For a sequence , suppose that there exists a constant such that the projection satisfies for all . Then, and .
In other words, if has -norm less than or equal to for all then with -norm less than or equal to .
Proof.
Since is maximal, by [20, Theorem 4.5] there exists a finitely generated tensor norm of order such that . Then, the ball is weak-star compact. Thus, the set , which is contained in the ball , has a weak-star accumulation point . This mapping should satisfy , for all , .
On the other hand, the canonical mapping is well defined and has norm less than or equal to 1. Hence, belongs to and
[TABLE]
This says that coincides with the mapping . In consequence, with . ∎
In particular, if is maximal and , given a diagonal multilinear operator such that their truncated operators satisfy for all , it follows that with .
In order to prove the following result, recall the well known characterization of the maximal hull of a sequence space: if and only if is finite, and the norm is given by this supremum. In other words, to ensure that a sequence space is maximal it is enough to show that if for all , then with .
Proposition 2.2**.**
Let be an ideal of -linear operators and let and be Köthe sequence spaces.
- (i)
If is maximal, then is a maximal Köthe sequence space and . 2. (ii)
**
Proof.
(i) Suppose that for all . By identity (2), we have that Then, by Lemma 2.1, with . So, is maximal and the same is true for . Again, identity (2), assures, for each sequence , that for all . Therefore, .
(ii) For a sequence , by identities (2) and (3), and . Then, applying item (i) we have that , which completes the proof. ∎
Remark 2.3**.**
By the previous proposition, if both the ideal and the sequence space are maximal, then the sequence space is maximal. Note that the condition over is necessary for to be maximal. Indeed, if , and , it follows that , which obviously is not a maximal sequence space.
Now, we turn to look into the minimal hull. Recall that a sequence space is minimal if and only if for all , , or equivalently, tends to over compact sets.
Proposition 2.4**.**
Let be an ideal of -linear operators and let and be Köthe sequence spaces.
- (i)
If is a minimal ideal and is a minimal Köthe sequence space, then is a minimal sequence space. 2. (ii)
**
Proof.
(i) Let . Since is minimal, there exist approximable linear operators and such that . Then,
[TABLE]
and Now, the mapping , which has as its target space, is compact and tends to over compact sets (because is minimal), therefore tends to zero. In consequence, tends to zero also and is minimal.
(ii) For , the norm tends to zero. By the identities (2) and (3) we have Then, is a Cauchy sequence in the Banach sequence space and hence it converges to a sequence in that coincides with coordinate by coordinate. In other words, this says that and
[TABLE]
The reverse inclusion holds by item (i). ∎
Now, we analyze the relationship between the sequence space associated to an ideal with the associated to its adjoint. Note that when we have a finite dimensional space, its Köthe dual and its classical dual coincide. Moreover, if we call the tensor norm associated to the ideal , we have,
The duality is given in the following way: if and , we can represent them as and . Then,
[TABLE]
It is plain that . Moreover, if is diagonal, there exists a sequence such that . Then, where . A direct argument through this last observation yields to the following result.
Lemma 2.5**.**
Let be an ideal of -linear operators and let and be Köthe sequence spaces. Then,
As a consequence of the preceding lemma and the identity (2) we have
[TABLE]
This equality allows us to give a general result that relates the sequence space associated to an ideal with the corresponding sequence space associated to its adjoint ideal.
Proposition 2.6**.**
Let be an ideal of -linear operators and let and be Köthe sequence spaces. Then,
Proof.
For a sequence , by identity (4), we have . Since a Köthe dual and an adjoint ideal are maximal, Proposition 2.2 gives the result. ∎
Finally, as a consequence of the Propositions 2.6 and 2.2 and the fact that , we obtain the following equalities:
[TABLE]
In particular, if and are maximal, .
3. Some applications: Multipliers and Lorentz sequence spaces
An example of a sequence space associated to a set of operators is the space of multipliers from into , [13], which is defined, in our notation, as
We begin by showing that our sequence space associated to a multilinear ideal can be seen inside a suitable space of multipliers.
Proposition 3.1**.**
Let be an ideal of -linear operators and let and be Köthe sequence spaces. Then,
Proof.
Let and let . Consider given by . If we compose with , we obtain the diagonal -linear form associated to . Then, by the ideal property, belongs to and
[TABLE]
In consequence, belongs to and . ∎
In general, the inclusion given in Proposition 3.1 is not an equality. For example, in [9] it is proved that , where is the ideal of extendible multilinear operators. Another example from the same article is the following: .
However, for the very particular case of the ideal of continuous multilinear operators the (isometric) equality holds when the target set is a Köthe dual.
Proposition 3.2**.**
For Köthe sequence spaces and we have that
**
In particular, if is maximal,
Proof.
By Proposition 3.1, Conversely, let . For any and , we have
[TABLE]
So, and
Last, if is maximal, then ∎
Note that if is not maximal, the equality might not be true. For instance, take and , then
Corollary 3.3**.**
Let and be Köthe sequence spaces. Then,
**
In particular, if is maximal,
Proof.
Being and , we have
[TABLE]
where the last two equalities hold by [8, Prop 5.5, Prop 5.6]. ∎
Recall the definition of powers of sequence spaces. Let be a Köthe sequence space and such that . Then, endowed with the norm results a Köthe sequence space which is -convex. And, the sequence space is maximal if is maximal.
Observe that since is normal, we can use instead of in the definition of and its norm.
Remark 3.4**.**
Whenever , then . Indeed, we have that \displaystyle{\big{\|}(|x_{1}\cdots x_{n}|)^{1/n}\big{\|}_{E}\leq\Big{\|}\frac{|x_{1}|+\cdots+|x_{n}|}{n}\Big{\|}_{E}\leq\frac{\|x_{1}\|_{E}+\cdots+\|x_{n}\|_{E}}{n}\leq 1}. In particular, for an -convex Köthe sequence space , if , then .
In the case that is -convex, there is an alternative description of as a space of multipliers:
Proposition 3.5**.**
Let and be an Köthe sequence spaces such that is -convex with . Then,
Proof.
Let and take . Then and Thus, and
[TABLE]
Conversely, let . Then, , for all . In consequence, is well defined from to and
∎
As a direct consequence of Propositions 3.2 and 3.5 we have:
Corollary 3.6**.**
Let and be an Köthe sequence spaces such that is -convex with . Then,
Recall the definition of Lorentz sequence spaces. For each element its decreasing rearrangement is given by \displaystyle{x^{\star}(k):=\inf\Big{\{}\sup_{j\in\mathbb{N}\backslash J}|x(j)|\ :\ J\subseteq\mathbb{N},\ card(J)<k\Big{\}}.} Let be a decreasing sequence of positive numbers with , tends to zero and and let . Then the corresponding Lorentz sequence space, denoted by is defined as the set of all sequences such that
[TABLE]
where denotes the group of permutations of the natural numbers.
The sequence is said to be -regular () if and regular if it is -regular for some . In [37] it can be found that the Köthe sequence space is -convex (with ) whenever . In [21] and [28] a description of , the dual of , is given. In the case that is regular, an easier description of with is given in [1, 38]. Let us recall also that, given a strictly positive, increasing sequence such that , the associated Marcinkiewicz sequence space (see [23, Definition 4.1], or [11, 22]) consists of all sequences such that
The results of the previous section combined with the scalar-valued case for Lorentz spaces studied in [8, Section 5] allow us to give a description of diagonal multilinear mappings from Lorentz sequence spaces (or their duals).
Proposition 3.2 along with [8] produce
[TABLE]
where . Moreover, if and is -regular. For , since is -convex with , Proposition 3.5 gives an alternative description: . Proposition 3.2 combined with some results of [8], also imply
[TABLE]
To complete this description it remains to calculate the space of multipliers from to a Lorentz sequence space. We can give an explicit characterization when . We affirm that
[TABLE]
Indeed, when , the equality is clear from the inclusions .
When ,
[TABLE]
We can obtain, applying Theorem 2.6 and taking into account that , similar results for the ideal of integral multilinear operators.
4. (E,p)-summing multilinear operators
The classical notion of -summing operator has a natural extension by changing the index (which refers to the space ) by any other Köthe sequence space containing . This yields the concept of -summing linear mapping. This class, denoted by , was studied in [13] where typical results about -summing operators are extended to the case of -summing linear mappings by means of the space of multipliers. Here, we propose an -linear version of that program.
Along this section we consider . If , we denote by the norm of the natural inclusion map. We need to recall also that for a Köthe sequence space , the -convexification, , is always well defined and it is an -convex Köthe sequence space with . Now, we can proceed to the definition.
Let be a Köthe sequence space such that and let be Banach spaces. An -linear operator is called -summing if there exists such that for every finite sequences ,…, it holds
[TABLE]
where w_{p}(x)=\sup_{x^{\prime}\in B_{E^{\prime}}}\big{(}\sum_{i=1}^{m}|\langle x^{\prime},x_{i}\rangle|^{p}\big{)}^{1/p} is the weak -norm. The space of -summing -linear operators from to is denoted by . It is a Banach space endowed with the norm . Moreover, it is easy to see that is a Banach ideal of -linear operators (always under the condition ).
When and , the ideal is the class of -summing -linear mappings introduced and studied by [30]. For , -summing -linear mappings are the so called -dominated -linear mappings [30, 39, 31]. In the case , the class is the usual ideal of -summing linear operators mentioned above. When this is just the classical ideal of absolutely -summing linear mappings, , with as the usual notation for its norm.
In the sequel we present -linear versions of some results in [13] along with a relationship between the sequence space associated to the ideal and a linear relative.
We begin by the -linear version of [13, Lemma 3.3]. It is a standard characterization of -summability with a straightforward proof that we omit.
Lemma 4.1**.**
Let be a Köthe sequence space such that and let be Banach spaces. For a mapping and a constant the following are equivalent:
- (1)
* with .*
- (2)
* for all and for all with . (Here means the space with the -norm, not to be confused with the -power of the sequence space .)*
In particular, in this case,
[TABLE]
Next lemma enumerates two simple properties about a sequence space associated to an ideal that will be needed later.
Lemma 4.2**.**
Let be a Köthe sequence space with .
- (i)
If and are such that and , then . 2. (ii)
If and are Köthe sequence spaces and is -convex with , then is -convex with convexity constant 1.
Proof.
(i) First, note that if and only if for all . Now, for and , it is clear that and so .
(ii) Let , we have to show that
[TABLE]
Equivalently, if we call , the condition to be checked is
[TABLE]
Now, let . Since is -convex with we obtain
[TABLE]
Then, . ∎
Note that under the assumptions of item (i) of lemma above the class for -linear operators is well defined.
Remark 4.3**.**
In Remark 3.4 we showed that whenever , then . Thus, for every we have . Hence, if the space is -convex, . In particular, it holds that , for all .
Now we present in the next theorem two composition results about -summing -linear mappings. Since the statement involve both linear and -linear ideals to avoid confusion we chose to denote by the ideal of -summing -linear operators. Observe that for the particular case of both compositions are known results about -dominated -linear operators [31].
Theorem 4.4** (Composition theorem for -summing multilinear mappings).**
Let be a Köthe sequence space such that .
- (i)
If and are such that and , then
[TABLE]
Moreover, , for belonging to and belonging to . 2. (ii)
It holds
[TABLE]
Moreover, for an -linear operator and belonging to .
Proof.
(i) This is an -linear version of [13, Lemma 3.5]. The proof is similar so we omit it.
(ii) Let ,…, . By the normal property of and by Remark 4.3, we have
[TABLE]
∎
The next proposition shows that sequence space associated to -summing -linear operators can be seen as the -convexification of a sequence space associated to -summing linear mappings. This identification extend an analogous result for scalar-valued -dominated -linear mappings proved in [7] (see explanation below).
Proposition 4.5**.**
Let , and be Köthe sequence spaces such that . Then
[TABLE]
Proof.
Note first that \alpha\in\big{[}\boldsymbol{\ell}_{1}\left(\Pi_{(E^{1/n},p)};F,G^{1/n}\right)\big{]}^{n} if and only if the diagonal linear operator . Let \alpha\in\boldsymbol{\ell_{n}}\big{(}\Pi_{(E,p)};F,G\big{)} and take , then
[TABLE]
Then, \alpha\in\big{[}\boldsymbol{\ell}_{1}\left(\Pi_{(E^{1/n},p)};F,G^{1/n}\right)\big{]}^{n} and
[TABLE]
Conversely, let \alpha\in\big{[}\boldsymbol{\ell}_{1}\left(\Pi_{(E^{1/n},p)};F,G^{1/n}\right)\big{]}^{n}. Consider the factorization of , where the operator is given by , and . Applying Theorem 4.4 (2), we obtain that and \pi_{(E,p)}(T_{\alpha})\leq\|\Psi\|\cdot\big{(}\pi_{(E^{1/n},p)}(D_{\alpha^{1/n}})\big{)}^{n}\leq\|\alpha\|_{\big{[}\boldsymbol{\ell}_{1}\left(\Pi_{(E^{1/n},p)};F,G^{1/n}\right)\big{]}^{n}}. ∎
Some comments are in order. As we have mentioned, if and then for -linear mappings coincides with (the ideal of -dominated mappings). For this particular case, the identity of the previous proposition reads as follows:
[TABLE]
This can be seen as the vector-valued version of [7, Prop. 2.1] which, translated to our current terminology says (for ):
[TABLE]
Actually, that result was just for an space, but the same argument works for any Köthe sequence space. Moreover, it can also be proved, following analogous arguments that (when and )
[TABLE]
As an interesting consequence of these identities we derive, for every ,
[TABLE]
Note that clearly this equality holds also for the ideal : for , \boldsymbol{\ell_{n}}\big{(}\mathcal{L};F,\ell_{1}\big{)}\overset{1}{=}\boldsymbol{\ell_{n}}\big{(}\mathcal{L};F\big{)}. However it is not true for any ideal . For instance, for the ideal of integral multilinear mappings we know, from identity (5) that \boldsymbol{\ell_{n}}\big{(}\mathcal{I};E,\ell_{1}\big{)}\overset{1}{=}\boldsymbol{\ell_{n}}\big{(}\mathcal{L};E^{\times},\ell_{\infty}\big{)}^{\times}\overset{1}{=}\ell_{1}, for any Köthe sequence space . But \boldsymbol{\ell_{n}}\big{(}\mathcal{I};E\big{)} is not always equal to . Indeed, by [7, Prop. 1.2] (see also [9]), \boldsymbol{\ell_{n}}\big{(}\mathcal{I};\ell_{p}\big{)}\overset{1}{=}\ell_{\frac{p^{\prime}}{n}}, for .
Finally, we extend to the multilinear setting an Inclusion theorem for -summing operators proved in [13, Lemma 3.4]. The proof is similar, so we omit it. For , the first inclusion is just the usual inclusion of -dominated into -dominated -linear operators when . Other inclusion results about -summing multilinear mappings with and without hypothesis about cotype 2 spaces in the domain can be found in [4].
Theorem 4.6** (Inclusion theorem for -summing multilinear operators).**
Let be a Köthe sequence space such that . If and are such that and , then we have the following inclusion for ideals of -linear mappings:
[TABLE]
with , for all .
Moreover, if have cotype 2, then for any Banach space ,
[TABLE]
In the same spirit of the definition of -summing multilinear operators and having in mind the concept of strongly -summing multilinear operators [15], we introduce the class of strongly -summing multilinear operators. Let be a Köthe sequence space such that . An -linear operator is said to be strongly -summing if exists such that for finite sequences , …,, it satisfies that
[TABLE]
We note the space of strongly -summing multilinear operators. It is easy to see that it is an ideal of -linear operators endowed with the norm
[TABLE]
Applying the same arguments used in [13] to prove the inclusion theorem for -summing linear operators, it can be proved an analogous inclusion theorem for strongly -summing multilinear operators.
Theorem 4.7**.**
Let be a Köthe sequence space such that . If , then
[TABLE]
Moreover, if , then .
Acknowledgements
We would like to thank Daniel Carando for helpful conversations and for suggesting some of the problems developed in the article. We also want to thank the anonymous referee for useful comments that led to a better presentation of Section 4.
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