Hindawi Publishing Corporation Journal of Function Spaces and Applications Volume 2012, Article ID 293613, 10 pages doi:10.1155/2012/293613

Research Article A Note on Multiplication and Composition Operators in Lorentz Spaces

Eddy Kwessi,1 Paul Alfonso,2 Geraldo De Souza,3 and Asheber Abebe3

1 Trinity University, One Trinity Place, San Antonio, TX 78212, USA 2 US Air Force Academy, Colorado Springs, CO 80840, USA 3 Department of Mathematics and Statistics, Auburn University, 221 Parker Hall, Auburn, AL 36849, USA

Correspondence should be addressed to Geraldo De Souza, [email protected]

Received 6 February 2012; Accepted 21 June 2012

Academic Editor: Gestur Olafsson,´

Copyright q 2012 Eddy Kwessi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

we revisit the Lorentz spaces Lp, q for p>1,q>0 defined by G. G. Lorentz in the nineteen fifties and we show how the atomic decomposition of the spaces Lp, 1 obtained by De Souza in 2010 can be used to characterize the multiplication and composition operators on these spaces. These characterizations, though obtained from a completely different perspective, confirm the various results obtained by S. C. Arora, G. Datt and S. Verma in different variants of the Lorentz Spaces.

1. Introduction

In the early 1950s, Lorentz introduced the now famous Lorentz spaces Lp, q in his papers 1, 2 as a generalization of the Lp spaces. The parameters p and q encode the information about the size of a function; that is, how tall and how spread out a function is. The Lorentz spaces are quasi-Banach spaces in general, but the Lorentz quasi- of a function has better control over the size of the function than the Lp norm, via the parameters p and q, making the spaces very useful. We are mostly concerned with studying the multiplication and composition operators on Lorentz spaces. These have been studied before by various authors in particular by Arora et al. in 3–6. In this paper, the results we obtain are in accordance with what these authors have found before. We believe that the techniques and relative simplicity of our approach are worth reporting to further enrich the topic. Our results, found on the boundary of the unit disc due to the original focus by De Souza in 7, will show how one 2 Journal of Function Spaces and Applications can use the atomic characterization of the Lp, 1 in the study of multiplication and composition operators in the spaces Lp, q.

2. Preliminaries

Let X, μ be a measure space.

Definition 2.1. Let f be a complex-valued function defined on X. The decreasing rearrangement ∗ of f is the function f defined on 0, ∞ by

∗ f t  inf y>0:d f, y ≤ t , 2.1

where df, yμ{x : |fx| >y} is the distribution of the function f.

Definition 2.2. Given a measurable function f on X, μ and 0

⎧⎛ ⎞ ⎪ ∞ 1/q ⎪   ⎪⎝ q ∗ q dt⎠ ⎨ t1/pf t , if q<∞,  p t f 2.2 L p,q ⎪ 0 ⎪ ∗ ⎩supt1/pf t, if q  ∞. t>0

  ∞ The set of all functions f with f Lp,q < is called the Lorentz space with indices p and q and denoted by Lp, qX, μ.

We now consider the measure μ on X to be finite. Let g : X → X be a μ-measurable function such that μg−1A ≤ CμA for a μ-measurable set A ⊆ 0, 2π and for an absolute − constant C.Hereg 1A refers to the preimage of the set A.

   −1 Remark 2.3. It is important to note that g supμA / 0 μ g A /μ A is not necessarily a norm.

Definition 2.4. For a given function g, we define the multiplication operator Tg on Lorentz  ·  ◦ spaces as Tg f f g and the composition operator Cg as Cg f f g. The following two results are used in our proofs. The first is a result of De Souza 7 which gives an atomic decomposition of Lp, 1. The second is the Marcinkiewicz interpolation theorem see 8 which we state for completeness of presentation.

Theorem 2.5   ∈  see De Souza 7 . A function f L p, 1 for p>1 if and only if f t ∞ ∞ | | 1/p ∞ n1 cnχAn t with n1 cn μ An < , whereas μ is measure on X and An are μ-measurable   ∼ ∞ | | 1/p sets in X. Moreover, f Lp,1 inf n1 cn μ An , where the infimum is taken over all possible representations of f. Journal of Function Spaces and Applications 3

Theorem 2.6  ≤∞ see Marcinkiewicz . Assume that for 0 0, for all ∞ measurable subsets A of X, there are some constants 0

  ≤ 1/p0 a Tg χA M0μ A . Lp0,∞

  ≤ 1/p1 b Tg χA M1μ A . Lp1,∞

  ≤     − Then there is some M>0 such that Tg f Lp,q M f Lp,q for 1/p θ/p0 1 θ /p1 , 0 < θ<1.

One implication of Theorem 2.5 is that it can be used to prove and justify a theorem of Stein and Weiss 9. That is, to show that linear operators T : Lp, 1 → B are bounded, where    | | B is closed under absolute value and satisfying f B f B, all one needs to   ≤ 1/p show is that TχA B Mμ A ,p>1. Theorem 2.6 will be used to show that valid results on Lp, 1 are also valid on Lp, q. p   Definition 2.7. We denote by Mr the set of real-valued functions defined on X 0, 2π such that

  1/r x r r ∗ 1/p dt f p  sup f tt < ∞, 2.3 Mr 1/p x>0 px 0 t

where 1 ≤ p ≤ r<∞.

p k We will show that the space Mr is equivalent to a weak L space for some k that · p depends on p and r and Mr is quasinorm.

p Lemma 2.8. · p a quasinorm on . Mr Mr ∗ Proof. f ≥ 0 by definition. This implies that f p ≥ 0. Moreover, f p  0 implies that Mr Mr ≤ x ∗ 1/pr  ∗   for all 0

x   x r x r ∗ r dt − ∗ t dt ∗ t dt f  g tt1/p ≤ 2r 1 f t1/p  g t1/p 0 t 0 2 t 0 2 t r 2.4 r−1 1/2x   1/2x   ∗ r dt ∗ r dt ≤ 2p f tt1/p  g tt1/p . 0 t 0 t 4 Journal of Function Spaces and Applications

Since a  b1/r ≤ a1/r  b1/r for a, b > 0, we have   1/p−1/r1 1/p−1/r1 f  g p ≤ 2 f p  g p , with 2 > 1for r, p > 1. 2.5 Mr Mr Mr

Theorem 2.9. p ∼ ∞ ≥   Mr  L pr , ,wherer, r 1, 1/r 1/r 1. ∈ p Proof. Suppose g Mr . There is an absolute constant C such that for all x>0,

x   1/r x 1/r r ∗ r dt r ∗ − ∗ C ≥ g tt1/p ≥ g x r tr/p 1dt  x1/pr g x. 2.6 1/p 1/p px 0 t px 0

1/pr ∗ ≤ ∈ ∞ Thus, supx>0x g x C implying that g L pr , . ∗ Conversely, let g ∈ Lpr , ∞. Then there is an absolute constant C such that, g t ≤ − ∗ r Ct 1/pr . This implies that g tt1/p ≤ Cr t1/p.Thus,

x   1/r x 1/r r ∗ r dt r dt sup g tt1/p ≤ sup Cr t1/p  Cr1/r . 2.7 1/p 1/p x>0 px 0 t x>0 px 0 t

∈ p This implies that g Mr .

p ∼ p ∼ ∞ ∞  ∞  Remark 2.10. One can easily see from Theorem 2.9 that M L p, and M1 L . Moreover, g p  g∞. To see this, note that M1 x x 1 ∗ 1/p dt 1 1/p−1 g p  sup g tt ≤ g sup t dt  g , M 1/p ∞ 1/p ∞ 1 x>0 px 0 t x>0 px 0 2.8 ∗ x g x 1/p−1 ∗ g p ≥ t dt  g x M 1/p 1 px 0

∗ ∗ for all x since g is decreasing. Taking the limit as x → 0, we see that g p ≥ g 0g∞. M1

3. Main Results 3.1. Multiplication Operators Theorem 3.1 → see multiplication operator on L p, 1 . The multiplication operator Tg : L p, 1 ≥ ∈ ∞      L p , 1 for p p>1 is bounded if and only g L . Moreover, Tg g ∞. p ∞    ≤ Proof. It is convenient to use M1 which is equivalent to L . Assume that Tg f Lp ,1      ∈  C f Lp,1. Then for f χ 0,x where x 0, 2π ,

2π x 2π ∗ 1/p −1 ∗ 1/p −1 ∗ 1/p−1 1/p    ≤  Tg χ 0,x t t dt g t t dt C χ0,x t t dt Cpx . 3.1 0 0 0 Journal of Function Spaces and Applications 5

− Multiplying and dividing the integrand on the left by t1/p 1,weget

x ∗ − − g tt1/p 1tp p /pp dt ≤ Cpx1/p. 3.2 0

Since t → tp−p /pp is decreasing on 0,x and 0

x 1 ∗ − − g tt1/p 1dt ≤ C2πp p /pp . 1/p 3.3 px 0

∈ p Taking the supremum over all x>0, we have that g M1 . ∈ p Assume that g M1 and x>0. Since p >pwe have

x x ∗ 1/p −1 ∗ 1/p−1    ≤ Tg χ 0,x Lp ,1 g t t dt g t t dt. 3.4 0 0

And so,

x 1 ∗ 1/p−1 T χ  ≤ M χ  , where M  sup g tt dt. g 0,x Lp ,1 0,x Lp,1 1/p 3.5 x>0 px 0

Using the atomic decomposition of Lp, 1,weget ≤ Tg f Lp ,1 M f Lp,1 for some positive constant M . 3.6

To prove the second part of the theorem, first note that the expression in 3.5 gives  ≤  1/p      that Tg g ∞. Now take f 1/x χ 0,x . We can easily see that f Lp,1 1and ∗ ∗   ≥ ∈     ≤ Tg f Lp ,1 g x for x 0, 2π since g is decreasing. Now taking the sup over f Lp,1 1 →  ≥       and the limit as x 0gives Tg g ∞.Thus, Tg g ∞. The following theorem, which is equivalent to Theorem 1.1 of 6, follows from Theorems 2.6 and 3.1. Theorem 3.2 → see multiplication operator on L p, q . The multiplication operator Tg : L p, q ∈ ∞ ≤∞ ≤∞      L p, q is bounded if and only if g L for 1

1, the theorem implies that if the →  · ∈ p multiplication operator Tg : L p, q L p, q defined by Tg f g f is bounded, then g Mr for p, q > 1.

Remark 3.4. It is worth observing that the norm

μA 1 ∗ − f  sup g tt1/p 1dt Lp,1 1/p 3.7 A⊆X μ A 0 μA / 0 can also be used to prove the previous theorem, first on Lp, 1 and then on Lp, q by means of either the Marcienkiewiecz Inteporlation Theorem or Theorem 2.5. Actually, this norm 6 Journal of Function Spaces and Applications

p was the original motivation for the introduction of the space Mr . For sake of simplicity and without loss of generality, we modified it by replacing μA, A ⊂ X by x>0. Theorem 3.5. ∈ ∈ ∞ · ∈ If f L p1,q1 , and g L p2,q2 ,where1

2π   2π     ∗ s dt ∗ s ∗ s dt f · g tt1/r ≤ f tt1/p1 · g tt1/p2 . 3.8 0 t 0 t

  Using Holder’s inequality on the RHS with s/q1 s/q2 1, we have 2π   2π   s/q1 2π   s/q2 ∗ s dt ∗ q1 dt ∗ q2 dt f · g tt1/r ≤ f tt1/p1 · g tt1/q2 . 3.9 0 t 0 t 0 t

Thus, we have g · f ≤ f · g . 3.10 Lr,s Lp1,q1 Lp2,q2

Theorem 3.6. ∈ p →    If g Mr ,thenTg : L q, s L pqr / pr q ,s is bounded, where 1/r 1/r 1 and for s>0 and p, q > 1. ∈ p ∼ ∞ Proof. Let g Mr  L pr ,   2π s s ≤ ∗ · ∗ 1/k dt Tg f Lk,s g t f t t 0 t 3.11 2π   s  ∗ 1/pr · ∗ 1/q dt 1  1  1 g t t f t t if . 0 t k q qr

Therefore,

  2π   s s s ≤ ∗ 1/pr · ∗ 1/q dt Tg f Lk,s sup g t t f t t . 3.12 t>0 0 t

That is,

≤ ·  pr q Tg f g p f , where k . 3.13 L k,s Mr L q,s pr  q

p ∼ ∞  − Noting that Mr  L pr , , r r/ r 1 , it is easy to see that Theorem 3.6 shows that  ∞ the result of Theorem 3.5 extends to the case where q2 . Journal of Function Spaces and Applications 7

3.2. Composition Operators Theorem 3.7. → The composition operator Cg : L p, q L p, q is bounded if and only if there is an absolute constant C such that

  − μ g 1A ≤ CμA, 3.14

⊆   ≤∞ ≤ ≤∞     1/p for all μ-measurable sets A 0, 2π and for 1

Proof. We will prove this theorem for Lp, 1 and use the interpolation theorem to conclude for Lp, q. → First assume that Cg : L p, 1 L p, 1 is bounded that is, there is an absolute constant C such that

≤ Cg f Lp,1 C f Lp,1. 3.15

   Let A be a μ-measurable set in 0, 2π and let f χA. Then, 3.15 is equivalent to

2π ≤ ⇐⇒ 1 ∗ 1/p−1 Cg χA Lp,1 C χA Lp,1 Cg χA t t dt p 0 3.16 2π ≤ C ∗ 1/p−1 χA t t dt; p 0 that is,

2π 2π 1 ◦ ∗ 1/p−1 ≤ C 1/p−1 χA g tt dt χ0,μAtt dt. 3.17 p 0 p 0

∗ ◦  − ◦  − Since χA g χg 1A, then χA g χ0,μg 1A. Therefore, the previous inequality gives

− μg 1A μA 1 − C − t1/p 1dt ≤ t1/p 1dt. 3.18 p 0 p 0

And hence,

  − μ g 1A ≤ CpμA. 3.19 8 Journal of Function Spaces and Applications

− On the other hand, assume that there is some constant C>0 such that μg 1A ≤ CμA. Then,

2π  1 ◦ ∗ 1/p−1 Cg χA Lp,1 χA g t t dt p 0

2π 1 −  − 1/p 1 3.20 χ0,μg 1A t t dt p 0    − 1/p  μ g 1A ≤ C1/p μA 1/p.

Consequently,

≤ 1/p 1/p Cg χA Lp,1 C μ A . 3.21

As a consequence of Theorem 2.5 or the result by Weiss and Stein in 9, we have

≤ 1/p Cg f Lp,1 C f Lp,1. 3.22

To prove the second part of the theorem, note that from the above, we have

Cg f  L p,1 ≤ 1/p Cg sup C . 3.23   ≤ f Lp,1 1 f Lp,1

{ −1 ≤ }     ≤ 1/p But inf C : μ g A Cμ A g .Thus, Cg g . To obtain the other inequality,   1/p    let f 1/ μ A χA. This gives f Lp,1 1and

−1 1/p μ g A C f  . 3.24 g Lp,1 μA

Thus,

−1 1/p  ≥ μ g A  1/p Cg sup Cg f Lp,1 sup g . 3.25   ≤  μA f Lp,1 1 μ A / 0 Journal of Function Spaces and Applications 9

Now to show the result for L p, q , note that the operator Cg is linear on L p, q and that for   ≤ 1/p0   ≤ p0 and p1 such that p0

Hence, by the interpolation theorem we conclude that there is a constant C>0 such that ≤ ∀ ∀ ∈ Cg f Lp,q C f Lp,q for p0

Remark 3.8. The necessary and sufficient condition 3.14 makes intuitive sense if we consider a variety of measures. Let us consider two of them.

1 If μ is the Lebesgue measure and X happens to be an interval, then it suffices to take g as the left multiplication by an absolute constant a to achieve 3.14. 2 If instead μ is the Haar measure, by taking X 0, ∞, the locally compact topological group of nonzero real numbers with multiplication as operation, then − for any Borel set A ⊆ X, we have μA |t| 1dt. Hence 3.14 is achieved − A for a measurable function g such that g 1A ⊆ A. The left multiplication by the reciprocal of an absolute constant a would be enough.

Remark 3.9. The results in Theorems 3.6 and 3.7 are in accordance with the results of Arora et al. in 5, 6. In fact, even though they obtained their results in a more general version of Lorentz spaces, their necessary and sufficient conditions for boundedness of the multiplication and composition operators are the same as ours.

4. Discussion

The space Lp, 1,p>1, seems to be underutilized in analysis despite the fact that in the 1950s Stein and Weiss 9 showed that for a sublinear operator T and a Banach space X if   ≤ 1/p   ≤   TχA X cμ A , then Tf X c f Lp,1;thatis,T can be extended to the whole L p, 1 .   ∈ De Souza 7 showed that the reason for this is the nature of L p, 1 in that f L p, 1 if  ∞ ∞ | | 1/p ∞ and only if f t n0 cnχAn t with n0 cn μ An < . This “atomic decomposition of Lp, 1” provides us with a technique to study operators on Lp, q and in particular Lp. In other words, to study operators on L p, q , all we need is to study the actions of the operator on characteristic functions which can then be lifted to Lp, q through the use of interpolation theorems. Although we only considered multiplication and composition operators, other operators Hardy-Littlewood maximal, Carleson maximal, Hankel, etc. can be studies likewise. To conclude, the goal of the present paper is to show that a simple atomic decom- position of Lp, 1 spaces shows the boundedness of operators on Lp, q straightforward. 10 Journal of Function Spaces and Applications

In fact, we showed that unlike other techniques in the literature, the boundedness of these operators on characteristic functions is enough to generalize to the whole Lorentz space. This technique is not new at all, since it was first used by Stein and Weiss in 9 to extend the Marcinkiewicz interpolation theorem. The broader question is if the the same technique can be extended to Lorentz-Bochner spaces and even Lorentz-martingale spaces. If answered positively, the technique proposed in our paper will contrast the ones by Yong et al. in 10, which we believe are not as straightforward as ours. It has been shown in the literature that Δ operators such as the centered Hardy operator, the Hilbert operator under 2 condition are all bounded on Lorentz spaces. Usually the proofs of these facts are not trivial, so by first finding an atomic decomposition on Lorentz spaces Lp, q, 1

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