This paper characterizes Schur multipliers on operators between L^p and L^q spaces, extending classical definitions and providing new insights into their structure and inclusion relationships.
Contribution
It introduces a new characterization of Schur multipliers on (L^p,L^q) spaces for 1 < q t p < t, generalizing classical cases.
Findings
01
Characterization of Schur multipliers via Bochner space representations.
02
Extension of Schur multiplier definitions to measure spaces.
03
New inclusion relationships between Schur multiplier spaces.
Abstract
Let (Ω1,F1,μ1) and (Ω2,F2,μ2) be two measure spaces and let 1≤p,q≤+∞. We give a definition of Schur multipliers on B(Lp(Ω1),Lq(Ω2)) which extends the definition of classical Schur multipliers on B(ℓp,ℓq). Our main result is a characterization of Schur multipliers in the case 1≤q≤p≤+∞. When 1<q≤p<+∞, ϕ∈L∞(Ω1×Ω2) is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) if and only if there are a measure space (a probability space when p=q) (Ω,μ), a∈L∞(μ1,Lp(μ)) and b∈L∞(μ2,Lq′(μ)) such that, for almost every (s,t)∈Ω1×Ω2, ϕ(s,t)=⟨a(s),b(t)⟩. Here, L∞(μ1,Lr(μ))…
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Taxonomy
TopicsAdvanced Banach Space Theory · Advanced Operator Algebra Research · Advanced Harmonic Analysis Research
Laboratoire de Mathématiques de Besançon, UMR 6623, CNRS, Université Bourgogne Franche-Comté,
25030 Besançon Cedex, FRANCE
Abstract.
Let (Ω1,F1,μ1) and (Ω2,F2,μ2) be two measure spaces and let 1≤p,q≤+∞. We give a definition of Schur multipliers on B(Lp(Ω1),Lq(Ω2)) which extends the definition of classical Schur multipliers on B(ℓp,ℓq). Our main result is a characterization of Schur multipliers in the case 1≤q≤p≤+∞. When 1<q≤p<+∞, ϕ∈L∞(Ω1×Ω2) is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) if and only if there are a measure space (a probability space when p=q) (Ω,μ), a∈L∞(μ1,Lp(μ)) and b∈L∞(μ2,Lq′(μ)) such that, for almost every (s,t)∈Ω1×Ω2,
[TABLE]
Here, L∞(μ1,Lr(μ)) denotes the Bochner space on Ω1 valued in Lr(μ). This result is new, even in the classical case. As a consequence, we give new inclusion relationships between the spaces of Schur multipliers on B(ℓp,ℓq).
1. Introduction
If 1≤r<+∞, we denote by ℓr the Banach space of r−summable sequences (xi)i≥1⊂C (that is, ∑i∣xi∣r<+∞) endowed with the norm ∥x∥ℓr=(∑i∣xi∣r)1/r. Let ℓ∞ be the Banach space of bounded sequences (yi)i≥1⊂C with the norm ∥y∥ℓ∞=supi∣yi∣. If n∈N, we denote by ℓrn the n−dimensional versions of the spaces introduced before.
Let m=(mij)i,j≥1 be a bounded family of complex numbers and let 1≤p,q≤+∞. We say that m is a Schur multiplier on B(ℓp,ℓq) if for any matrix [aij]i,j≥1 in B(ℓp,ℓq), the matrix [mijaij]i,j≥1 defines an element of B(ℓp,ℓq). An application of the Closed Graph theorem shows that m is a Schur multiplier if and only if the mapping
[TABLE]
is bounded. By definition, the norm of the Schur multiplier m is the norm of Tm.
There is a well-known characterization of Schur multipliers on B(ℓ2) (see for instance [11, Theorem 5.1]) which can be extended to the case B(ℓp) as follows.
Theorem 1.1**.**
[11, Theorem 5.10]**
Let ϕ=(cij)i,j∈N⊂C, C≥0 be a constant and let 1≤p<∞. The following are equivalent :
(i)
ϕ* is a Schur multiplier on B(ℓp) with norm ≤C.*
2. (ii)
There is a measure space (Ω,μ) and elements (xj)j∈N in Lp(μ) and (yi)i∈N in Lp′(μ) such that
[TABLE]
Denote by M(p,q) the space of Schur multipliers on B(ℓp,ℓq). In [3], Bennett gives some results about the inclusions between the spaces M(p,q). In the same paper, he also gives a necessary and sufficient condition for a family m to belong to M(p,q), using the theory of absolutely summing operators. Theorem 1.1 provides a different type of characterization, which is more explicit and useful.
Let (Ω1,μ1) and (Ω2,μ2) be two σ-finite measure spaces. The space L2(Ω1×Ω2) can be identified with the space S2(L2(Ω1),L2(Ω2)) of Hilbert-Schmidt operators. If J∈L2(Ω1×Ω2), the operator
[TABLE]
is a Hilbert-Schmidt operator and ∥XJ∥2=∥J∥L2. Moreover,
any element of S2(L2(Ω1),L2(Ω2)) has this form.
Let ϕ∈L∞(Ω1×Ω2). We may associate the operator
[TABLE]
whose norm is equal to ∥ϕ∥∞.
We say that ϕ is a Schur multiplier on B(L2(Ω1),L2(Ω2)) if Rψ extends to a (necessarily unique) bounded operator still denoted by
[TABLE]
where K(L2(Ω1),L2(Ω2)) denotes the space of compact operators from
L2(Ω1) into L2(Ω2). When ϕ is a Schur multiplier, the norm of ϕ is by definition the norm of Rϕ as an operator from K(L2(Ω1),L2(Ω2)) into itself.
A characterization similar to the one in Theorem 1.1 holds in this setting. The following result was established by Peller [9].
Theorem 1.2**.**
Let ϕ∈L∞(Ω1×Ω2) and C>0. The following are equivalent :
(i)
ϕ* is a Schur multiplier and ∥Rϕ∥<C.*
2. (ii)
There exist families (ai)i≥1⊂L∞(Ω1) and (bi)i≥1⊂L∞(Ω2) such that
[TABLE]
and for almost every (s,t)∈Ω1×Ω2,
[TABLE]
See also [12] for another formulation of this theorem and results about Schur multipliers in the measurable case.
In this article, we define more generally Schur multipliers on B(Lp(Ω1),Lq(Ω2)) for some measure spaces (Ω1,μ1) and (Ω2,μ2). To any ϕ∈L∞(Ω1,Ω2), we associate a linear mapping
[TABLE]
and we say that ϕ is a Schur multiplier if Tϕ is bounded. When Ω1=Ω2=N with the counting measures, Tϕ corresponds to (\refMapSchur).
In the case 1≤q≤p≤+∞, we characterize the elements of L∞(Ω1×Ω2) which are Schur multipliers on B(Lp(Ω1),Lq(Ω2)). We prove that if 1<q≤p<+∞, ϕ is a Schur multiplier if and only if there are a measure space (a probability space when p=q) (Ω,μ), a∈L∞(μ1,Lp(μ)) and b∈L∞(μ2,Lq′(μ)) such that, for almost every (s,t)∈Ω1×Ω2,
[TABLE]
where L∞(μ1,Lr(μ)) is the Bochner space valued in Lr(μ).
This result is new, even in the setting of classical Schur multipliers on B(ℓp,ℓq), and is of different nature than the characterization of Bennett. As a consequence, we give in the last section of this article new results of comparisons for the spaces M(p,q).
1.1. Notations
Let X and Y be Banach spaces.
If z∈X⊗Y, the projective tensor norm of z is defined by
[TABLE]
where the infimum runs over all finite families (xi)i in X and (yi)i in Y such
that
[TABLE]
The completion X⊗∧Y of (X⊗Y,∥.∥∧)
is called the projective tensor product of X and Y. Note that the projective tensor product is commutative, that is X⊗∧Y=Y⊗∧X.
The mapping taking any functional ω:X⊗Y→C
to the operator u:X→Y∗ defined by ⟨u(x),y⟩=ω(x⊗y) for any x∈X,y∈Y,
induces an isometric identification
[TABLE]
We refer to [7, Chapter 8, Corollary 2] for this fact.
Let (Ω,μ) be a localizable measure space and let Lp(Ω;Y) denote the
Bochner space of p−integrable functions from Ω into Y.
By [7, Chapter 8, Example 10], the natural embedding L1(Ω)⊗Y⊂L1(Ω;Y)
extends to an isometric isomorphism
Assume that Y∗ has the Radon-Nikodym property (in short, Y∗ has RNP). In this case,
[TABLE]
The latter implies that
[TABLE]
and the isometric isomorphism is given by
[TABLE]
Assume now that Y=L1(Ω′) where (Ω′,μ′) is a localizable measure space. Then, an application of Fubini Theorem gives
[TABLE]
Using equality (\refL1tensor), we deduce that
[TABLE]
and the correspondence is given by
[TABLE]
For ψ∈L∞(Ω×Ω′), denote by uψ the corresponding element of B(L1(Ω),L∞(Ω′)).
If z=∑ixi⊗yi∈X⊗Y, x∗∈X∗ and y∗∈Y∗, we write
[TABLE]
Then, the injective tensor norm of z∈X⊗Y is given by
[TABLE]
The completion X⊗∨Y of (X⊗Y,∥.∥∨) is called the injective tensor product of X and Y.
In this paper, we will often identify X∗⊗Y with the finite rank operators from X into Y as follow. If u=∑ixi∗⊗yi∈X∗⊗Y, we define u~:X→Y by
[TABLE]
Then, it is easy to check that ∥u∥∨=∥u~∥B(X,Y).
Moreover, if Y has the approximation property (see e.g. [6] for the definition), [6, Theorem 1.4.21] gives the isometric identification
[TABLE]
where K(X,Y) denotes the space of compact operators from X into Y.
Let (Ω1,F1,μ1) and (Ω2,F2,μ2) be two localizable measure spaces. Let 1≤p<∞ and 1≤q≤∞. Then Lq(Ω2) has the approximation property so that we have
[TABLE]
Finally, if we assume that 1<p,q<+∞, then by [5, Theorem 2.5] and (\refdualproj),
[TABLE]
2. Definition of Schur multipliers on B(Lp,Lq)
Let (Ω1,F1,μ1) and (Ω2,F2,μ2) be two localizable measure spaces and let ϕ∈L∞(Ω1×Ω2). Let 1≤p,q≤∞ and denote by p′ and q′ their conjugate exponents.
Let
[TABLE]
be defined for any elementary tensor f⊗g∈Lp′(Ω1)⊗Lq(Ω2) by
[TABLE]
for all h∈Lp(Ω1).
We have an inclusion
[TABLE]
given by f⊗g↦[s∈Ω1↦f(s)g]. Under this identification, Tϕ is the multiplication by ϕ. Note that Lp′(Ω1,Lq(Ω2)) is invariant by multiplication by an element of L∞(Ω1×Ω2) and that we have a contractive inclusion
[TABLE]
Therefore, Tϕ is valued is in Lp′(Ω1)⊗∨Lq(Ω2). Using the identification
[TABLE]
given by (\reftensorop), we deduce that the elements of Lp′(Ω1)⊗∨Lq(Ω2) are compact operators as limits of finite rank operators for the operator norm.
Definition 2.1**.**
We say that ϕ is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) if there exists a constant C≥0 such that for all u∈Lp′(Ω1)⊗Lq(Ω2),
[TABLE]
that is, if Tϕ extends to a bounded operator
[TABLE]
In this case, the norm of ϕ is by definition the norm of Tϕ.
Remark 2.2*.*
By E1 (resp. E2) we denote the space of simple functions on Ω1 (resp. Ω2). By density of E1⊗E2 in Lp′(Ω1)⊗∨Lq(Ω2), Tϕ extends to a bounded operator from Lp′(Ω1)⊗∨Lq(Ω2) into itself if and only if it is bounded on E1⊗E2 equipped with the injective tensor norm.
Assume that 1<p,q<+∞. By (\refinjcompact) we have
[TABLE]
so that ϕ is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) if and only if Tϕ extends to a bounded operator
[TABLE]
In this case, considering the bi-adjoint of Tϕ, we obtain by (\refbidualcomp) a w∗−continuous mapping
[TABLE]
which extends Tϕ. This explains the terminology ’ϕ is a Schur multiplier on B(Lp(Ω1),Lq(Ω2))’.
Classical Schur multipliers : Assume that Ω1=Ω2=N and that μ1 and μ2 are the counting measures. An element ϕ∈L∞(N2) is given by a family c=(cij)i,j∈N of complex numbers, where cij=ϕ(j,i). In this situation, the mapping Tϕ is nothing but the classical Schur multiplier
[TABLE]
When this mapping is bounded from B(ℓp,ℓq) into itself, we will denote it by Tc.
Notations : If (Ω,F,μ) is a measure space and n∈N∗, we denote by An,Ω the collection of n−tuples (A1,…,An) of pairwise disjoint elements of F such that
[TABLE]
If A=(A1,…,An)∈An,Ω and 1≤p≤+∞, denote by SA,p the subspace of Lp(Ω) generated by χA1,…,χAn. Then SA,p is 1−complemented in Lp(Ω), and a norm one projection from Lp(Ω) into SA,p is given by the conditional expectation
[TABLE]
Note that the mapping
[TABLE]
is an isometric isomorphism between SA,p and ℓpn.
Proposition 2.3**.**
Let (Ω1,F1,μ1) and (Ω2,F2,μ2) be two measure spaces and let ϕ∈L∞(Ω1×Ω2). The following are equivalent :
(i)
ϕ* is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)).*
2. (ii)
For all n,m∈N∗, for all A=(A1,…,An)∈An,Ω1,B=(B1,…,Bm)∈Am,Ω2, write
[TABLE]
Then the Schur multipliers on B(ℓpn,ℓqm) associated with the families ϕA,B=(ϕij) are uniformly bounded with respect to n,m,A and B.
In this case, ∥Tϕ∥=supn,m,A,B∥TϕA,B∥<+∞.
Proof.
(i)⇒(ii). Assume first that ϕ is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) with ∥Tϕ∥≤1. Let n,m∈N∗,A=(A1,…,An)∈An,Ω1 and B=(B1,…,Bm)∈Am,Ω2. Let c=∑i,jc(i,j)ej⊗ei∈ℓp′n⊗ℓqm≃B(ℓpn,ℓqm).
Let φA,p:SA,p→ℓpn and ψB,q:SB,q→ℓqm be the isometries defined in (\refisolp). Then c~:=ψB,q−1∘c∘φA,p:SA,p→SB,q satisfies ∥c~∥=∥c∥ and we have
[TABLE]
where c~(i,j)=μ1(Aj)1/p′μ2(Bi)1/qc(i,j).
The operator u:=ψB,q∘PB,q∘Tϕ(c~)∣SA,p∘φA,p−1:ℓpn→ℓqm satisfies
[TABLE]
and by assumption
[TABLE]
so that
[TABLE]
Let us prove that u=TϕA,B(c) where TϕA,B is the Schur multiplier associated with the family (ϕij).
Write u(i,j):=ψB,q∘PB,q∘Tϕ(χAj⊗χBi)∣SA,p∘φA,p−1. We have
[TABLE]
Let 1≤k≤n.
[TABLE]
so that [u(i,j)](ek)=0 if k=j and if k=j then
[TABLE]
It follows that
[TABLE]
that is, u=TϕA,B(c). We conclude thanks to the inequality (\refequa1).
(ii)⇒(i). Assume now that the assertion (ii) is satisfied and show that ϕ is a Schur multiplier. By Remark 2.2, we just need to show that Tϕ is bounded on E1⊗E2. Let v∈E1⊗E2 and write α=supn,m,A,B∥Tc∥. We will show that ∥Tϕ(v)∥≤α∥v∥. By density, it is enough to prove that for any h1∈E1,h2∈E2,
[TABLE]
By assumption, there exist n,m∈N∗,A=(A1,…,An)∈An,Ω1,B=(B1,…,Bm)∈Am,Ω2 and complex numbers v(i,j),ai,bj such that
[TABLE]
Equation (\refequa2) can be rewritten as
[TABLE]
Consider v~:=ψB,q∘v∘φA,p−1:ℓpn→ℓqm and z:=ψB,q∘PB,q∘Tϕ(v)∣SA,p∘ϕA,p−1:ℓpn→ℓqm. The computations made in the first part of the proof show that z=Tm(v~) where m is the family (ϕij).
Now, let x:=φA,p(h1) and y:=ψB,q′(h2). Since Tm is bounded with norm smaller than α we have
[TABLE]
An easy computation shows that the left-hand side on this equality is nothing but the left-hand side of the inequality (\refequa3). Finally, the right-hand side of the inequalities (\refequa3) and (\refequa4) are equal, which concludes the proof.
∎
3. (p,q)−Factorable operators
Let X and Y be Banach spaces.
3.1. Dual norm.
[4, Chapter 15]. Let M⊂X and N⊂Y be finite dimensional subspaces (in short, f.d.s). If u=∑i=1nxi⊗yi∈M⊗N and v=∑j=1mxj∗⊗yj∗∈M∗⊗N∗ we set
[TABLE]
Let α be a tensor norm on tensor products of finite dimensional spaces. We define, for z∈M⊗N,
[TABLE]
Now, for z∈X⊗Y, we set
[TABLE]
α′ defines a tensor norm on X⊗Y, called the dual norm of α.
In the sequel, we will write α′(z) instead of α′(z,X,Y) for the norm of an element z∈X⊗Y when there is no possible confusion.
3.2. Lapresté norms.
[4, Proposition 12.5]. Let s∈[1,∞]. If x1,x2,…,xn∈X, we define
[TABLE]
Let p,q∈[1,∞] with p1+q1≥1 and take r∈[1,∞] such that
[TABLE]
Denote by p′ and q′ the conjugate of p and q. For z∈X⊗Y, we define
[TABLE]
Then αp,q is a norm on X⊗Y and we denote by X⊗αp,qY its completion.
3.3. (p,q)−Factorable operators.
If T∈B(X,Y∗) and ξ=∑ixi⊗yi∈X⊗Y, then in accordance with (\refdualproj) we set
[TABLE]
Definition 3.1**.**
Let 1≤p,q≤∞ such that p1+q1≥1.
Let T∈B(X,Y∗). We say that T∈Lp,q(X,Y∗) if there exists a constant C≥0 such that
[TABLE]
*In this case, we write Lp,q(T)=inf{C∣Csatisfying(\refdefLpq)}.
Then (Lp,q(X,Y∗),Lp,q) is a Banach space, called the space of (p,q)−Factorable operators.*
For a general definition of the spaces Lp,q(X,Y) (including the case when the range is not a dual space), see [4, Chapter 17].
Since Y∗ is 1-complemented in its bidual, [4, Theorem 18.11] gives the following result.
Theorem 3.2**.**
*Let 1≤p,q≤∞ such that p1+q1≥1. Let T∈B(X,Y∗). The two following statements are equivalent :
(i)T∈Lp,q(X,Y∗).
(ii) There are a measure space (Ω,μ) (a probability space when p1+q1>1), operators R∈B(X,Lq′(μ)) and S∈B(Lp(μ),Y∗)) such that T=S∘I∘R*
[TABLE]
*where I:Lq′(μ)→Lp(μ) is the inclusion mapping (well defined because q′≥p).
In this case, Lp,q(T)=inf∥S∥∥R∥ over all such factorizations.*
Remark 3.3*.*
Here we consider the case when p1+q1=1. Denote by p′ the conjugate exponent of p. We have T∈Lp,p′(X,Y∗) if and only if there are a measure space (Ω,μ), operators R∈B(X,Lp(μ)) and S∈B(Lp(μ),Y∗) such that T=SR
[TABLE]
We usually write Γp(X,Y∗) instead of Lp,p′(X,Y∗). Such operators are called p−factorable.
Remark 3.4*.*
Suppose that X=L1(λ) and Y=L1(ν) for some localizable measure spaces (Ω1,λ) and (Ω2,ν). Consider T∈B(L1(λ),L∞(ν)). By (\refLinfB), there exists ψ∈L∞(λ×ν) such that
[TABLE]
(See subsection 1.1 for the notation.)
(i)
If 1<q<+∞, Lq′(μ) has RNP so by (5),
[TABLE]
It means that if R∈B(X,Lq′(μ)), there exists a∈L∞(λ,Lq′(μ)) such that
[TABLE]
2. (ii)
If 1<p<+∞, then using (\refdualproj), (\refL1tensor) and (\refL1tensorcor) we obtain
[TABLE]
Thus, if S∈B(Lp(μ),L∞(ν)), there exists b∈L∞(ν,Lp′(μ)) such that
[TABLE]
We deduce that if 1<p,q<+∞, there exist a∈L∞(λ,Lq′(μ)) and b∈L∞(ν,Lp′(μ)) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
If T satisfies Theorem 3.2, the latter implies that for all f∈L1(λ),
[TABLE]
Using the same identifications we have for the following cases :
(1)
If q=1 and 1<p<+∞, then there exist a∈L∞(λ×μ) and b∈L∞(ν,Lp′(μ)) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
2. (2)
If 1<q<+∞ and p=+∞, then there exist a∈L∞(λ,Lq′(μ)) and b∈L∞(ν×μ) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
3. (3)
If q=1 and p=+∞, then there exist a∈L∞(λ×μ) and b∈L∞(ν×μ) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
3.4. Finite dimensional case.
If X and Y are finite dimensional, it follows from the very definition of the dual norm that
[TABLE]
The next theorem describes the elements of this space.
Theorem 3.5**.**
[4*, Theorem 19.2]** Let E and F be Banach spaces.
Let p,q∈[1,∞] with p1+q1≥1 and K⊂BE∗ and L⊂BF∗ weak−∗-compact norming sets for E and F, respectively. For ϕ:E⊗F→C the following two statements are equivalent:
(i)ϕ∈(E⊗αp,qF)∗.
(ii) There are a constant A≥0 and normalized Borel-Radon measures μ on K and ν on L such that for all x∈E and y∈F,*
[TABLE]
*(if the exponent is ∞, we replace the integral by the norm).
In this case, ∥ϕ∥(E⊗αp,qF)∗=inf{A∣Aas in (ii)}.
This theorem will allow us to describe the predual of Lp,q(ℓ1n,ℓ∞m), n,m∈N. Let us apply the previous theorem with E=ℓ∞n and F=ℓ∞m.
Take T∈ℓ1n⊗αp,q′ℓ1m=(ℓ∞n⊗αp,qℓ∞m)∗ and let
[TABLE]
be a representation of T. In the previous theorem, we can take K={1,2,…,n} and L={1,2,…,m}. In this case, a normalized Borel-Radon measure μ on K is nothing but a sequence μ=(μ1,…,μn) where, for all i, μi:=μ({i})≥0 and ∑iμi=1. Similarly, ν=(ν1,…,νm) where, for all i, νi≥0 and ∑iνi=1. In this case, the inequality (\refdominated) means that for all sequences of complex numbers x=(xi)i=1n,y=(yj)i=jm,
[TABLE]
Set αk=xkμk1/q′, βk=ykνk1/p′ and define, for 1≤i≤n,1≤j≤m, c(i,j) such that T(i,j)=c(i,j)μi1/q′νj1/p′ (we can assume μi>0 and νj>0). Then, the previous inequality becomes
[TABLE]
This means that the operator c:ℓq′n→ℓpm whose matrix is [c(i,j)]1≤j≤m,1≤i≤n has a norm smaller than A. Moreover, if we see T as a mapping from ℓ∞n into ℓ1m the relation between T and c means that T admits the following factorization
[TABLE]
where dμ and dν are the operators of multiplication by μ=(μ11/q′,…,μn1/q′) and ν=(ν11/p′,…,νm1/p′). Those operators have norm 1.
Therefore, it is easy to check that
[TABLE]
The elements of (ℓ∞n⊗αp,qℓ∞m)∗ are called (q′,p′)−dominated operators. For more informations about this space in the infinite dimensional case (it is the predual of Lp,q), see for instance [4, Chapter 19].
By (\refformulepredual) and the fact that Lp,q(ℓ1n,ℓ∞n)=(ℓ1n⊗αp,q′ℓ1m)∗, we get the following result.
Proposition 3.6**.**
Let v=[vij]:ℓ1n→ℓ∞m. Then
[TABLE]
where the supremum runs over all u:ℓ∞m→ℓ1n admitting the factorization
[TABLE]
*with ∥dμ∥≤1,∥dν∥≤1 and ∥c∥≤1.
Equivalently,*
[TABLE]
4. The main result
4.1. Schur multipliers and factorization
Let p,q be two positive numbers such that 1≤q≤p≤∞. This condition is equivalent to p,q∈[1,∞] with q1+p′1≥1, so that we can consider the space Lq,p′.
The following results will allow us to give a description of the functions ϕ which are Schur multipliers.
Lemma 4.1**.**
Let X, Y be Banach spaces and let E⊂X,F⊂Y be 1−complemented subspaces of X and Y. For any v∈E⊗F, denote by α~q,p′′(v) the αq,p′′-norm of v as an element of E⊗F and by αq,p′′(v) the αq,p′′-norm of v as an element of X⊗Y. Then
[TABLE]
Proof.
The inequality α~q,p′′(v)≥αq,p′′(v) is easy to prove. For the converse inequality, take v=∑kek⊗fk∈E⊗F such that αq,p′′(v)<1 and show that α~q,p′′(v)<1. By assumption, there exists M⊂X and N⊂Y finite dimensional subspaces such that v∈M⊗N and
[TABLE]
By assumption, there exist two norm one projections P and Q respectively from X onto E and from Y onto F. Set M1=P(M)⊂E and N1=Q(N)⊂F. M1 and N1 are finite dimensional. Moreover, since v∈E⊗F, it is easy to check that (P⊗Q)(v)=v, where, for all c=∑lal⊗bl∈X⊗Y,
[TABLE]
Thus, v∈M1⊗N1. We will show that αq,p′′(v,M1,N1)<1.
Let z=∑j=1mxj∗⊗yj∗∈M1∗⊗N1∗ be such that αq,p′(z)<1 and show that ∣⟨v,z⟩∣≤αq,p′′(v), so that αq,p′′(v,M1,N1)≤1.
Let 1≤r≤∞ such that
[TABLE]
The condition αq,p′(z)<1 in M1∗⊗N1∗ implies that z admits a representation z=∑j=1mλjmj∗⊗nj∗ where mj∗∈M1∗,nj∗∈N1∗ and
[TABLE]
Set z~:=∑j=1mλjP∗(mj∗)⊗Q∗(nj∗) in M∗⊗N∗. It is easy to check that
[TABLE]
Therefore, αq,p′(z~,M∗,N∗)<1. Then, the condition αq,p′′(v,M,N)<1 implies that
[TABLE]
Finally, we have
[TABLE]
and therefore
[TABLE]
This proves that α~q,p′′(v)<1.
∎
We recall that if ϕ∈L∞(Ω1×Ω2), we denote by uϕ the mapping
[TABLE]
Theorem 4.2**.**
Let (Ω1,μ1) and (Ω2,μ2) be two localizable measure spaces and let ϕ∈L∞(Ω1×Ω2). Let 1≤q≤p≤∞. Then ϕ is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)) if and only if the operator uϕ belongs to Lq,p′(L1(Ω1),L∞(Ω2)). Moreover,
[TABLE]
Proof.
Assume first that Tϕ extends to a bounded operator
[TABLE]
with norm ≤1. To prove that uϕ∈Lq,p′(L1(Ω1),L∞(Ω2)) with Lq,p′(uϕ)≤1, we have to show that for any v=∑kfk⊗gk∈L1(Ω1)⊗L1(Ω2) with αq,p′′(v)<1 we have
[TABLE]
By density, we can assume that fk,gk are simple functions. Hence, with the notations introduced in Section 2 there exist n,m∈N∗,A=(A1,…,An)∈An,Ω1 and B=(B1,…,Bm)∈Am,Ω2 such that, for all k, fk∈SA,1 and gk∈SB,1.
By Lemma 4.1, the αq,p′′-norm of v as an element of SA,1⊗SB,1 is less than 1.
Let φA,1:SA,1→ℓ1n and ψB,1:SB,1→ℓ1m the isomorphisms defined in (\refisolp). Set v′=∑kφA,1(fk)⊗ψB,1(gk)∈ℓ1n⊗ℓ1m. Since φA,1 and ψB,1 are isometries, we have αq,p′′(v′)<1. Using the identification (\reftensorop), we obtain by (\refformulepredual) that v′ admits a factorization
[TABLE]
where δ=(δ1,…,δn), γ=(γ1,…,γm), dδ and dγ are the operators of multiplication and
[TABLE]
This factorization means that
[TABLE]
Therefore, we have
[TABLE]
We compute
[TABLE]
Define
[TABLE]
where c~(i,j)=ci,jμ1(Aj)−1/p′μ2(Bi)−1/q.
Using the identification (\reftensorop), it is easy to check that we have
[TABLE]
Therefore,
[TABLE]
We have
[TABLE]
where
[TABLE]
Since ∥Tϕ∥≤1, we deduce that
[TABLE]
Conversely, assume that uϕ∈Lq,p′(L1(Ω1),L∞(Ω2)) with Lq,p′(uϕ)≤1. To prove that ϕ is a Schur multiplier, we will use Proposition 2.3. Let n,m∈N∗, A=(A1,…,An)∈An,Ω1 and B=(B1,…,Bm)∈Am,Ω2. Set
[TABLE]
We want to show that the Schur multiplier on B(ℓpn,ℓqm) associated to the family m=(ϕij)i,j has a norm less than 1. To prove that, let c=∑i,jc(i,j)ej⊗ei∈B(ℓpn,ℓqm),x=(xj)j=1n,y=(yi)i=1m in C be such that ∥c∥≤1,∥x∥ℓpn=1,∥y∥ℓq′=1. We have to show that
[TABLE]
This inequality can be rewritten as
[TABLE]
Let v=∑i,jxjc(i,j)yiej⊗ei. According to (\refformulepredual), αq,p′′(v)≤1. Now, let v~=∑i,jxjc(i,j)yiφA,1−1(ej)⊗ψB,1−1(ei). We have
[TABLE]
and
[TABLE]
By assumption, Lq,p′(uϕ)≤1, which implies that
[TABLE]
and this is precisely the inequality (\refproof1).
∎
Theorem 3.2 and Remark 3.4 allow us to reformulate the previous theorem. The following two corollaries are generalizations of Theorem 1.1.
Corollary 4.3**.**
Let (Ω1,μ1) and (Ω2,μ2) be two localizable measure spaces and let ϕ∈L∞(Ω1×Ω2). Let 1≤q≤p≤∞. The following statements are equivalent :
(i)
ϕ* is a Schur multiplier on B(Lp(Ω1),Lq(Ω2)).*
2. (ii)
There are a measure space (a probability space when p=q) (Ω,μ), operators R∈B(L1(Ω1),Lp(μ)) and S∈B(Lq(μ),L∞(Ω2)) such that uϕ=S∘I∘R
[TABLE]
where I is the inclusion mapping.
*In the following cases, (i) and (ii) are equivalent to :
If 1<q≤p<+∞ :*
(iii)
There are a measure space (a probability space when p=q) (Ω,μ), a∈L∞(μ1,Lp(μ)) and b∈L∞(μ2,Lq′(μ)) such that, for almost every (s,t)∈Ω1×Ω2,
[TABLE]
If 1=q<p<+∞ :
(iii)
There are a probability space (Ω,μ), a∈L∞(μ1×μ) and b∈L∞(μ2,Lq′(μ)) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
If 1<q<+∞ and p=+∞ :
(iii)
There are a probability space (Ω,μ), a∈L∞(μ1,Lp(μ)) and b∈L∞(μ2×μ) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
If q=1 and p=+∞ :
(iii)
There are a probability space (Ω,μ), a∈L∞(μ1×μ) and b∈L∞(μ2×μ) such that for almost every (s,t)∈Ω1×Ω2,
[TABLE]
In this case, ∥Tϕ∥=inf∥R∥∥I∥∥S∥=inf∥a∥∥b∥.
Remark 4.4*.*
In the previous corollary, the condition (ii) implies that every ϕ∈L∞(Ω1×Ω2) is a Schur multiplier on B(L1(Ω1),L1(Ω2)) and on B(L∞(Ω1),L∞(Ω2)).
In the discrete case, the previous corollary can be reformulated as follow.
Corollary 4.5**.**
Let ϕ=(cij)i,j∈N⊂C, C≥0 be a constant and let 1≤q≤p≤+∞. The following are equivalent :
(i)
ϕ* is a Schur multiplier on B(ℓp,ℓq) with norm ≤C.*
2. (ii)
There exist a measure space (a probability space when p=q) (Ω,μ) and two bounded sequences (xj)j in Lp(μ) and (yi)i in Lq′(μ) such that
[TABLE]
4.2. An application : the main triangle projection
Let mij=1 if i≤j and mij=0 otherwise. Let Tm be the Schur multiplier associated with the family m=(mij). For any infinite matrix A=[aij], Tm(A) is the matrix [bij] with bij=aij if i≤j and bij=0 otherwise. For that reason, Tm is called the main triangle projection. Similary, we define the n-th main triangle projection as the Schur multiplier on Mn(C) associated with the family mn=(mijn)1≤i,j≤n where mijn=1 if i≤j and mijn=0 otherwise.
In [8], Kwapień and Pelczyński proved that if 1≤q≤p≤+∞,p=1,q=+∞, there exists a constant K>0 such that for all n,
[TABLE]
and this order of growth is obtained for the Hilbert matrices. Those estimates imply that Tm is not bounded on B(ℓp,ℓq).
Bennett proved in [2] that when 1<p<q<∞, Tm is bounded from B(ℓp,ℓq) into itself.
The results obtained in subsection 4.1 allow us to give a very short proof of the unbounded case.
Proposition 4.6**.**
Let 1≤q≤p≤+∞,p=1,q=+∞. Then Tm is not bounded on B(ℓp,ℓq).
Proof.
Assume that Tm is bounded on B(ℓp,ℓq). By Corollary 4.3, there exist a measure space (Ω,μ), (an)n∈Lp(μ) and (bn)n∈Lq′(μ) two bounded sequences such that, for all i,j∈N,
[TABLE]
By boundedness, (an)n and (bn)n admit an accumluation point a∈Lp(μ) and b∈Lq′(μ) respectively for the weak-* topology. Fix i∈N. For all j≥i, we have
[TABLE]
so that we get
[TABLE]
This equality holds for any i hence
[TABLE]
Now fix j∈N. For all i>j we have
[TABLE]
From this, we deduce as above that
[TABLE]
We obtained a contradiction so Tm cannot be bounded.
∎
As a consequence, we have, by Proposition 2.3 :
Corollary 4.7**.**
Let 1≤q≤p≤+∞,p=1,q=+∞.
Let Ω1=Ω2=R with the Lebesgue measure. Then ϕ∈L∞(R2) defined by
[TABLE]
is not a Schur multiplier on B(Lp(R),Lq(R)).
Remark 4.8*.*
One could wonder whether the results of subsection 4.1 can be extended to the case 1≤p<q≤+∞, that is, if the boundedness of Tϕ on B(Lp,Lq) implies that uϕ has a certain factorization. The fact that if p<q the main triangle projection is bounded tells us that m is a Schur multiplier on B(ℓp,ℓq). Nevertheless, the argument used in the previous proof shows that m cannot have a factorization like in (\reffactotriangle). Therefore, the case p<q is more tricky. For the discrete case, one can find in [3, Theorem 4.3] a necessary and sufficient condition for a family (mi,j)⊂C to be a Schur multiplier, for all values of p and q, using the theory of q−absolutely summing operators.
5. Inclusion theorems
In this section, we denote by M(p,q) the space of Schur multipliers on B(ℓp,ℓq).
First, we recall the inclusion relationships between the spaces M(p,q). Then we will establish new results as applications of those obtained in Section 4.1.
Theorem 5.1**.**
[3, Theorem 6.1]**
Let p1≥p2 and q1≤q2 be given. Then M(p1,q1)⊂M(p2,q2) with equality in the following cases:
(i)
p1=p2=1,
2. (ii)
q1=q2=∞,
3. (iii)
q2≤2≤p2,
4. (iv)
q2<p1=p2<2,
5. (v)
2<q1=q2<p2.
Let (Ω1,μ1) and (Ω2,μ2) be two measure spaces. If M(p1,q1)⊂M(p2,q2), then using Proposition 2.3 we have that any Schur multiplier on B(Lp1(Ω1),Lq1(Ω2)) is a Schur multiplier on B(Lp2(Ω1),Lq2(Ω2)). Hence, the results in the previous theorem hold true for all the Schur multipliers on B(Lp,Lq).
In the sequel, we will need the notion of type for a Banach space X, for which we refer e.g. to [1]. Let (Ei)i∈N be a sequence of independent Rademacher random variables. We have the following definition.
Definition 5.2**.**
A Banach space X is said to have Rademacher type p (in short, type p) for some 1≤p≤2 if there is a constant C such that for every finite set of vectors (xi)i=nn in X,
[TABLE]
The smallest constant C for which (\reftype) holds is called the type-p constant of X.
We will use the fact that for 1≤p≤2, Lp-spaces have type p and if 2<p<+∞, Lp-spaces have type 2 and that those are the best types for infinite dimensional Lp-spaces (see for instance [1, Theorem 6.2.14]). We will also use the fact that the type is stable by passing to quotients. Namely, if X has type p and E⊂X is a closed subspace, then X/E has type p.
Proposition 5.3**.**
(i)* If 1≤q<p≤2, then*
[TABLE]
Consequently, for any 1≤r≤q,
[TABLE]
(ii)* If 2≤p<q≤r, then*
[TABLE]
(iii)* If 1<q<2<p<+∞ or 1<p<2<q<+∞, then*
[TABLE]
To prove this proposition, we will need the following definitions and lemma.
Definition 5.4**.**
Let X and Y be Banach spaces. A map s:X→Y is a quotient map if s is surjective and for all y∈Y with ∥y∥<1, there exists x∈X such that ∥x∥<1 and s(x)=y. This is equivalent to the fact that the injective map s^:X/ker(s)→Y induced by s is a surjective isometry.
Definition 5.5**.**
*Let X and Y be Banach spaces, u∈B(X,Y) and 1≤p≤∞. We say that u∈SQp(X,Y) if there exists a closed subspace Z of a quotient of a Lp-space and two operators A∈B(X,Z) and B∈B(Z,Y) such that u=BA.
Then ∥u∥SQp=inf∥A∥∥B∥ defines a norm on SQp(X,Y) and (SQp(X,Y),∥.∥SQp) is a Banach space.*
Lemma 5.6**.**
Let W,X,Y,Z be Banach spaces and let u∈B(X,Y),s∈B(W,X),v∈B(Y,Z) such that
s is a quotient map, v is a linear isometry and vus∈Γp(W,Z). Then u∈SQp(X,Y).
Proof.
By assumption, there exist a Lp-space U and two operators a∈B(W,U) and b∈B(U,Z) such that the following diagram commutes
[TABLE]
Since v is an isometry, V:=v(Y)⊂Z is isometrically isomorphic to Y. Let ψ:Y→V be the isometric isomorphism induced by v.
Set F:={x∈Usuch thatb(x)∈V}. Since vus=ba, we have, for all w∈W,v(us(w))=b(a(w)), so that a(w)∈F. This implies that a(W)⊂F. We still denote by a the mapping a:W→F and by b the restriction of b to F. Denote by b^ the mapping b^=ψ−1∘b:F→Y. Then we have the following commutative diagram
[TABLE]
Now, set E:=a(ker(s)) and let Q:F→F/E be the canonical mapping. Clearly, Q∘a:W→F/E vanishes on ker(s), so that we have a mapping
[TABLE]
induced by Q∘a.
Since s is a quotient map, we denote by s the isometric isomorphism
[TABLE]
Define
[TABLE]
b^ vanishes on E so that we have a mapping
[TABLE]
Finally, it is easy to check that u=BA, that is, we have the following commutative diagram
[TABLE]
which concludes the proof.
∎
Remark 5.7*.*
To prove Lemma 5.6, one can use a result of Kwapień characterizing elements of SQp, as follows : a Banach space X is isomorphic to an SQq-space if and only if there exists a constant K≥1 such that for any n≥1, for any n×n matrix [aij] and for any x1,…,xn in X,
[TABLE]
However, the proof presented in this paper also works if we replace in the statement of the lemma Γp (respectively SQp) by the space of operators that can be factorized by some Banach space L (respectively by a subspace of a quotient of L).
(i).
Let Ω:=[0,1] and λ be the Lebesgue measure on Ω. Let Iq:Lq(λ)→L1(λ) be the inclusion mapping. By the classical Banach space theory (see [1, Theorem 2.3.1] and [1, Theorem 2.5.7]) there exist a quotient map σ:ℓ1↠Lq(λ) and an isometry J:L1(λ)↪ℓ∞. Let ϕ∈ℓ∞(N2) be such that
[TABLE]
(by (\refLinfB) any continuous linear map ℓ1→ℓ∞ is a certain uϕ for ϕ∈L∞(N×N)). We have the following factorization
[TABLE]
According to Theorem 4.3, ϕ∈M(q,1).
Assume that ϕ∈M(p,p). Then, again by Theorem 4.3, we have uϕ∈Γp(ℓ1,ℓ∞) and therefore, by Lemma 5.6, there exist an SQp-space X and two operators α∈B(Lq(λ),X) and β∈B(X,L1(λ)) such that Iq=βα.
Let (Ei)i∈N be a sequence of independant Rademacher random variables. Let n∈N∗ and f1,…,fn∈Lq(λ).
[TABLE]
But X has type p so there exists a constant C1>0 such that
[TABLE]
By Khintchine inequality, there exists C2>0 such that
[TABLE]
Thus, setting K:=C1C2∥α∥∥β∥, we obtained the inequality
[TABLE]
Let E1,…,En be disjoint measurable subsets of [0,1] such that for all 1≤j≤n,λ(Ej)=n1. Set fj:=χEj. Then
[TABLE]
Hence, applying the previous inequality to the fj’s, we obtain
[TABLE]
Since q<p, this inequality can’t hold for all n, so we obtained a contradiction.
Finally, notice that if 1≤r≤q, then by Theorem 5.1, M(q,1)⊂M(q,r). Thus, M(q,r)⊈M(p,p).
(ii).
By Proposition 2.3 and using duality, it is easy to prove that for all s,t∈[1,∞],ϕ is a Schur multiplier on B(ℓs,ℓt) if and only if ϕ~ is a Schur multiplier on B(ℓt′,ℓs′), where ϕ~ is defined for all i,j∈N by ϕ~(i,j)=ϕ(j,i).
Let 2≤p<q≤r. Then 1≤r′≤q′<p′≤2. If we assume that M(r,q)⊂M(p,p) then the latter implies M(q′,r′)⊂M(p′,p′), which is, by (i), a contradiction. This proves (ii).
(iii). By duality, it is enough to consider the case 1<q<2<p<+∞. Assume that M(q,q)⊂M(p,p). Using the notations introduced in the proof of (i), let σ:ℓ1→ℓq be a quotient map and J:ℓq→ℓ∞ be an isometry. Let ϕ∈L∞(N×N) be such that
[TABLE]
where Iℓq:ℓq→ℓq is the identity map. Then ϕ∈M(q,q). By assumption, ϕ∈M(p,p). By Lemma 5.6, this implies that Iℓq∈SQp(ℓq,ℓq). Clearly, this implies that ℓq is isomorphic to an SQp-space. But ℓq does not have type 2 and any SQp has type 2. This is a contradiction, so M(q,q)⊈M(p,p).
∎
Theorem 5.8**.**
We have M(q,q)⊂M(p,p) if and only if 1≤p≤q≤2 or 2≤q≤p≤+∞.
Proof.
By Proposition 5.3 and duality, we only have to show that when 1≤p≤q≤2, M(q,q)⊂M(p,p).
We saw in the proof Proposition of 5.3(iii) that if M(q,q)⊂M(p,p) then ℓq is isomorphic to an SQp-space. The converse holds true. Indeed, assume that ℓq is isomorphic to an SQp-space. Then by approximation, any Lq-space is isomorphic to an SQp-space. Hence any element of Γq(ℓ1,ℓ∞) factors through an SQp-space. By the lifting property of ℓ1 and the extension property of ℓ∞, this implies that any element of Γq(ℓ1,ℓ∞) factors through an Lp-space, that is Γq(ℓ1,ℓ∞)⊂Γp(ℓ1,ℓ∞). By Corollary 4.5, this implies that M(q,q)⊂M(p,p).
Assume that 1≤p≤q≤2. By [1, Theorem 6.4.19], there exists an isometry from ℓq into an Lp-space, obtained by using q−stable processes. Hence, ℓq is an SQp-space. This concludes the proof.
∎
Problem 5.9*.*
Compare the other spaces of Schur multipliers. For example, if 1<p≤2, do we have
[TABLE]
Acknowledgements.
The author was supported by the French
“Investissements d’Avenir” program,
project ISITE-BFC (contract ANR-15-IDEX-03).
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