Open Access

Multilinear Fourier multipliers on variable Lebesgue spaces

Journal of Inequalities and Applications20142014:510

https://doi.org/10.1186/1029-242X-2014-510

Received: 4 August 2014

Accepted: 4 December 2014

Published: 18 December 2014

Abstract

In this paper, we study the properties of a bilinear multiplier space. We give a necessary condition for a continuous bounded function to be a bilinear multiplier on variable exponent Lebesgue spaces, and we prove the localization theorem of multipliers on variable exponent Lebesgue spaces. Moreover, we present a Mihlin-Hörmander type theorem for multilinear Fourier multipliers on weighted variable Lebesgue spaces and give some applications.

MSC:42B15, 42B20, 42B25.

Keywords

bilinear multiplier spacemultilinear Fourier multipliervariable exponent spaceweighted estimate

1 Introduction

Given a non-empty open set Ω R n , we denote by P ( Ω ) the set of exponent functions p ( x ) such that
1 p p + < ,

where p ( Ω ) : = essinf { p ( x ) : x Ω } and p + ( Ω ) : = esssup { p ( x ) : x Ω } .

Let P 0 ( Ω ) be the set of exponent functions p ( x ) such that
0 < p p + < .
Given a measurable function f on Ω for 1 p ( ) , we define the modular functional associated with p ( ) by
ρ p ( ) , Ω ( f ) = Ω Ω | f ( x ) | p ( x ) d x + f ( x ) L ( Ω ) ,

where Ω denotes the set of points in Ω on which p ( x ) = .

The variable exponent Lebesgue space L p ( ) ( Ω ) is defined to be the set of Lebesgue measurable functions f on Ω satisfying ρ p ( ) , Ω ( f / λ ) < for some λ > 0 . The norm of f in the space is defined by
f L p ( ) = inf { λ > 0 : ρ p ( ) , Ω ( f / λ ) 1 } .
In the case that p ( ) P 0 ( Ω ) , it is defined to be the set of all functions f satisfying | f ( x ) | p 0 L q ( ) ( Ω ) , q ( x ) = p ( x ) / p 0 P ( Ω ) for some 0 < p 0 < p (see [1]). A quasi-norm in the space is defined by
f p ( ) , Ω = | f | p 0 q ( ) , Ω 1 p 0 .

We refer to [2] for an introduction to variable exponent Lebesgue spaces.

Similarly, for p ( ) P 0 ( Ω ) and a weight function w, the weighted variable exponent Lebesgue space L p ( ) ( Ω , w ) (see [3]) is defined to be the set of Lebesgue measurable functions f on Ω that satisfies
f L p ( ) ( w ) : = inf { λ > 0 : Ω | f ( x ) / λ | p ( x ) w ( x ) d x 1 } < .
In this paper, we study some properties of the space of bilinear Fourier multipliers and the Mihlin-Hörmander type theorem for multilinear Fourier multipliers on weighted variable Lebesgue spaces. Specifically, let m satisfy certain conditions. We discuss the N-linear Fourier multiplier operator T m defined by
T m ( f 1 , , f N ) ( x ) = R N n e 2 π i ξ 1 + + ξ N , x m ( ξ 1 , , ξ N ) f ˆ 1 ( ξ 1 ) , , f ˆ N ( ξ N ) d ξ 1 d ξ N

for x R n , f 1 , , f N S ( R n ) [4].

The multilinear Fourier multipliers have been studied for a long time. In [4], Coifman and Meyer proved that T m is bounded from L p 1 ( R n ) × × L p N ( R n ) to L p ( R n ) for all 1 < p 1 , , p N , p < with 1 p 1 + + 1 p N = 1 p and m C s ( R N n { 0 } ) satisfying
| ξ 1 α 1 ξ N α N m ( ξ 1 , , ξ N ) | C α 1 , , α N ( | ξ 1 | + + | ξ N | ) ( | α 1 | + + | α N | )
(1.1)

for all | α 1 | + + | α N | s , where N 2 is an integer and s is a sufficiently large integer.

Tomita [5] gave a Hörmander type theorem for multilinear multipliers. Specifically, T m is bounded from L p 1 ( R n ) × × L p N ( R n ) to L p ( R n ) for all 1 < p 1 , , p N , p < with 1 p 1 + + 1 p N = 1 p and s = N n 2 + 1 in (1.1). Furthermore, Grafakos and Si studied the case p 1 in [6]. The boundedness of multilinear Calderón-Zygmund operators with multiple weights was achieved by Grafakos et al. [7].

Under the Hörmander conditions, Fujita and Tomita [8] obtained some weighted estimates of T m for classical A p weights. Then Li et al. [9] got some weighted results of multilinear multipliers by considering the end-point cases, using weighted Carleson measure theory and employing multilinear interpolation theory. In [10], Chen and Lu proved a Hörmander type multilinear theorem on weighted Lebesgue spaces when the Fourier multipliers were only assumed with limited smoothness. In [11], the boundedness of T m with multiple weights satisfying condition (1.1) was given by Bui and Duong. In [12], Li and Sun got some weighted estimates of T m with multiple weights under the Hörmander conditions in terms of the Sobolev regularity. Huang and Xu [13] obtained the boundedness of multilinear Calderón-Zygmund operators on variable exponent Lebesgue spaces.

In this paper, we study the weighted estimates of T m with nearly the same conditions as in [12], but on variable exponent Lebesgue spaces.

The theory of bilinear multipliers was first studied by Coifman and Meyer [14]. They considered the ones with smooth symbols. Then, Muscalu et al. achieved some new results for non-smooth symbols in [15].

The study of bilinear multipliers has experienced a big progress since Lacey and Thiele [16, 17] proved that m ( ξ , ν ) = sign ( ξ + α ν ) are ( p 1 , p 2 , p 3 ) -multipliers for each triple ( p 1 , p 2 , p 3 ) such that 1 < p 1 , p 2 , p 3 > 2 / 3 and each α R { 0 , 1 } . In [18], Kulak and Gürkanlı first studied some properties of the bilinear multiplier space. In [19], Fan and Sato proved the DeLeeuw type theorems for the transference of multilinear operators on Lebesgue and Hardy spaces from R n to  T n . In [20], Blasco gave the transference theorems from R n to  Z n . We also refer to [21, 22] for details.

We first give some definitions.

Definition 1.1 ([18])

Let p 1 ( ) , p 2 ( ) P ( Ω ) , p 3 ( ) P 0 ( Ω ) , and m ( ξ , η ) be a bounded function on R 2 n . Define
B m ( f , g ) ( x ) = R n R n f ˆ ( ξ ) g ˆ ( η ) m ( ξ , η ) e 2 π i ξ + η , x d ξ d η

for all f and g S ( R n ) .

We call m a bilinear multiplier on R 2 n of type ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) if there exists some C > 0 such that B m ( f , g ) p 3 ( ) C f p 1 ( ) g p 2 ( ) for all f and g S ( R n ) , i.e., B m extends to a bounded bilinear operator from L p 1 ( ) ( R n ) × L p 2 ( ) ( R n ) to L p 3 ( ) ( R n ) .

We write BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) for the space of bilinear multipliers of type ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . Let m ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) = B m .

A similar function space is defined in the following.

Definition 1.2 Given a function M on R n , let m ( ξ , η ) = M ( ξ η ) . We say that
M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) )

if B M ( f , g ) ( x ) = R 2 n f ˆ ( ξ ) g ˆ ( η ) M ( ξ η ) e 2 π i ξ + η , x d ξ d η for all f and g S ( R n ) can be extended to a bounded bilinear operator from L p 1 ( ) ( R n ) × L p 2 ( ) ( R n ) to L p 3 ( ) ( R n ) .

Definition 1.3 ([2])

A function p : Ω R 1 is said to belong to the class L H 0 ( Ω ) if
| p ( x ) p ( y ) | C ln ( | x y | ) , | x y | 1 2 , x , y Ω ,

where C > 0 is independent of x or y.

We simply write L H 0 instead of L H 0 ( R n ) if there is no confusion. We also use C ( R n ) to represent the collection of all continuous functions on R n . By C etc., we denote various positive constants which may have different values even in the same line.

2 Some results on the space BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) )

Some properties of the bilinear multiplier space on variable spaces were given by Kulak and Gürkanlı [18]. Here we give some other properties.

First, we introduce the standard singular kernel.

Definition 2.1 ([2])

Given a function K L loc 1 ( R n { 0 } ) , it is called a standard singular kernel if there exists a constant C > 0 such that:
  1. 1.

    | K ( x ) | C | x | n , x 0 ;

     
  2. 2.

    | K ( x ) | C | x | n + 1 , x 0 ;

     
  3. 3.

    for 0 < r < R , | { r < | x | < R } K ( x ) d x | C ;

     
  4. 4.

    lim ε 0 { ε < | x | < 1 } K ( x ) d x exists.

     

Theorem 2.2 (Localization)

Suppose that
m BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) ,
Q is a rectangle in R 2 n and that the Hardy-Littlewood maximal operator is bounded on L p i ( ) ( R n ) , where 1 < ( p i ) ( p i ) + < , i = 1 , 2 . Then
m χ Q BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) )

and m χ Q p 1 ( ) , p 2 ( ) , p 3 ( ) C m p 1 ( ) , p 2 ( ) , p 3 ( ) , where C is independent of Q.

Let BM ( R n ) ( p ( ) , p ( ) ) denote the space of multipliers which correspond to bounded operators from L p ( ) ( R n ) to L p ( ) ( R n ) .

To prove Theorem 2.2, we need the following results in the theory of variable Lebesgue spaces.

Lemma 2.3 ([[2], Theorem 5.39])

Let T be a singular integral operator with a standard singular kernel K. Given p ( ) P ( R n ) such that 1 < p p + < , if the Hardy-Littlewood maximal operator is bounded on L p ( ) ( R n ) , then for all functions f that are bounded and have compact support, T f p ( ) C f p ( ) , and T extends to a bounded operator on L p ( ) ( R n ) .

Theorem 2.4 Suppose that m 1 BM ( R n ) ( s 1 ( ) , p 1 ( ) ) , m 2 BM ( R n ) ( s 2 ( ) , p 2 ( ) ) and m BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . Then we have
m 1 ( ξ ) m ( ξ , η ) m 2 ( η ) BM ( R 2 n ) ( s 1 ( ) , s 2 ( ) , p 3 ( ) ) .
Proof For any f and g S ( R n ) , we have
B m 1 m m 2 ( f , g ) ( x ) = R n R n f ˆ ( ξ ) g ˆ ( η ) m 1 ( ξ ) m ( ξ , η ) m 2 ( η ) e 2 π i ξ + η , x d ξ d η = R n R n ( ( T m 1 f ) ) ( ξ ) ( ( T m 2 g ) ) ( η ) m ( ξ , η ) e 2 π i ξ + η , x d ξ d η = B m ( T m 1 f , T m 2 g ) ( x ) .
Therefore,
B m 1 m m 2 ( f , g ) p 3 ( ) B m T m 1 f p 1 ( ) T m 2 g p 2 ( ) B m m 1 s 1 ( ) , p 1 ( ) m 2 s 2 ( ) , p 2 ( ) f s 1 ( ) g s 2 ( ) .

Then we get the result. □

The following is an explicit example.

Example 2.5 Suppose that 1 p 1 ( ) + 1 p 2 ( ) = 1 p 3 ( ) , m 1 BM ( R n ) ( p 1 ( ) , p 1 ( ) ) and m 2 BM ( R n ) ( p 2 ( ) , p 2 ( ) ) , where p 1 ( ) , p 2 ( ) P ( R n ) and p 3 ( ) P 0 ( R n ) . Then
m ( ξ , η ) = m 1 ( ξ ) m 2 ( η ) BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) .
Proof For any f and g S ( R n ) , we have
B 1 ( f , g ) ( x ) = R n R n f ˆ ( ξ ) g ˆ ( η ) e 2 π i ξ + η , x d ξ d η = R n R n f ˆ ( ξ ) e 2 π i ξ , x g ˆ ( η ) e 2 π i η , x d ξ d η = f ( x ) g ( x ) .
By Hölder’s inequality [2], we have
B 1 ( f , g ) ( x ) p 3 ( ) = f ( x ) g ( x ) p 3 ( ) C f p 1 ( ) g p 2 ( ) .
Thus 1 BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . By Theorem 2.4, we have
m ( ξ , η ) = m 1 ( ξ ) m 2 ( η ) BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) .

 □

Proof of Theorem 2.2 We only consider the case n = 1 . Other cases can be proved similarly. Suppose that Q = [ a , b ] × [ c , d ] . Then, for any f and g C c ( R n ) ,
B m χ Q ( f , g ) ( x ) = R n R n f ˆ ( ξ ) g ˆ ( η ) m ( ξ , η ) χ Q ( ξ , η ) e 2 π i ξ + η , x d ξ d η = R n R n f ˆ ( ξ ) χ [ a , b ] ( ξ ) g ˆ ( η ) χ [ c , d ] ( η ) m ( ξ , η ) e 2 π i ξ + η , x d ξ d η = B m ( ( f ˆ χ [ a , b ] ) , ( g ˆ χ [ c , d ] ) ) ( x ) .
Note that by (3.9) of [23], we have ( f ˆ χ [ a , b ] ) = i 2 ( M a H M a M b H M b ) f , where M a denotes the operator M a f ( x ) = e 2 π i a x f ( x ) and H denotes the Hilbert transform operator. Since the Hilbert transform has a standard singular kernel, by Lemma 2.3 we have
( f ˆ χ [ a , b ] ) p 1 ( ) = 1 2 ( M a H M a f M b H M b f ) p 1 ( ) 1 2 H M a f p 1 ( ) + 1 2 H M b f p 1 ( ) C f p 1 ( ) .
So
χ [ a , b ] BM ( R n ) ( p 1 ( ) , p 1 ( ) ) .
Similarly we can prove that
χ [ c , d ] BM ( R n ) ( p 2 ( ) , p 2 ( ) ) .
Hence by Theorem 2.4, we get
m χ Q BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) ,

and m χ Q p 1 ( ) , p 2 ( ) , p 3 ( ) C m p 1 ( ) , p 2 ( ) , p 3 ( ) . □

Next we show that the space BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) is invariant under certain operators.

Theorem 2.6 Given p 3 ( ) P ( R n ) , ϕ L 1 ( R n ) , if
M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) ,
then
ϕ M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) ,

and ϕ M p 1 ( ) , p 2 ( ) , p 3 ( ) C ϕ 1 M p 1 ( ) , p 2 ( ) , p 3 ( ) .

Proof For any f and g S ( R n ) , we have
B ϕ M ( f , g ) ( x ) = R 2 n f ˆ ( ξ ) g ˆ ( η ) ( R n M ( ξ η u ) ϕ ( u ) d u ) e 2 π i ξ + η , x d ξ d η = R n R 2 n M u f ˆ ( ξ ) g ˆ ( η ) M ( ξ η ) e 2 π i ξ + η , x d ξ d η e 2 π i u , x ϕ ( u ) d u .
By Minkowski’s inequality,
B ϕ M ( f , g ) ( x ) p 3 ( ) C R n B M ( M u f , g ) ( x ) p 3 ( ) | ϕ ( u ) | d u C M p 1 ( ) , p 2 ( ) , p 3 ( ) ϕ 1 f p 1 ( ) g p 2 ( ) .

 □

Theorem 2.7 Suppose that p 3 1 , M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ) and ϕ L 1 ( R n ) . Then
m ( ξ , η ) : = M ( ξ η ) ϕ ˆ ( ξ + η ) BM ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ) ,

and m p 1 ( ) , p 2 ( ) , p 3 ϕ 1 M p 1 ( ) , p 2 ( ) , p 3 .

Proof For any f and g S ( R n ) , we have
B m ( f , g ) ( x ) = R 2 n f ˆ ( ξ ) g ˆ ( η ) M ( ξ η ) ( R n ϕ ( y ) e 2 π i ξ + η , y d y ) e 2 π i ξ + η , x d ξ d η = R n ( R 2 n f ˆ ( ξ ) g ˆ ( η ) M ( ξ η ) e 2 π i ξ + η , x y d ξ d η ) ϕ ( y ) d y = ϕ B M ( f , g ) ( x ) .
By Young’s inequality, we have
B m ( f , g ) p 3 ϕ 1 B M ( f , g ) p 3 = ϕ 1 B M f p 1 ( ) g p 2 ( ) .

Thus, we get the conclusion. □

Finally, we consider the necessary condition of this kind of multipliers. The bilinear classical counterpart was obtained by Hörmander [[24], Theorem 3.1] and Blasco [25]. The multilinear classical one was proved by Grafakos and Torres, see [[26], Proposition 5] and [[27], Proposition 2.1]. And the one for multipliers on Lorentz spaces was given by Villarroya [[28], Proposition 3.1]. Some of their proofs used the translation-invariant property of the classical spaces, which is, however, no longer valid on L p ( ) . In the following, we prove the variable version of the necessary condition.

Theorem 2.8 (Necessary condition)

Suppose that there is a non-zero continuous bounded function M such that M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . Then
1 ( p 3 ) + 1 ( p 1 ) + 1 ( p 2 ) .

To prove the theorem, we need the following results.

Proposition 2.9 ([[2], Corollary 2.22])

Fix Ω and 1 p ( ) . If f p ( ) 1 , then ρ ( f ) f p ( ) ; if f p ( ) > 1 , then ρ ( f ) f p ( ) .

Proposition 2.10 ([[2], Corollary 2.23])

Given Ω and 1 p ( ) , suppose | Ω | = 0 . If f p ( ) > 1 , then
ρ ( f ) 1 / p + f p ( ) ρ ( f ) 1 / p .
If 0 < f p ( ) 1 , then
ρ ( f ) 1 / p f p ( ) ρ ( f ) 1 / p + .
Lemma 2.11 Let M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . If 1 q = 1 ( p 1 ) + 1 ( p 2 ) 1 ( p 3 ) + , then there exists some C > 0 such that
| λ n R n e λ 2 ξ 2 M ( ξ ) d ξ | C M p 1 ( ) , p 2 ( ) , p 3 ( ) λ n q ,

when λ is sufficiently large.

Proof Let λ > 0 . Define G λ by G ˆ λ ( ξ ) = e 2 λ 2 ξ 2 . By a simple change of variable, one gets that
B M ( G λ , G λ ) ( x ) = R 2 n e 2 λ 2 ξ 2 e 2 λ 2 η 2 M ( ξ η ) e 2 π i ξ + η , x d ξ d η = 1 2 R 2 n e λ 2 ν 2 e λ 2 μ 2 M ( ν ) e 2 π i μ , x d μ d ν = C λ n e π 2 | x λ | 2 R n e λ 2 ν 2 M ( ν ) d ν ,
(2.1)

where we use the fact that G λ ( x ) = ( e 2 λ 2 ξ 2 ) = C λ n e π 2 2 | x λ | 2 [[29], Example 2.2.9].

Observe that
ρ p i ( ) ( e π 2 2 | x λ | 2 ) = R n e π 2 2 | x λ | 2 p i ( x ) d x = λ n R n e π 2 2 | u | 2 p i ( λ u ) d u λ n R n e π 2 2 | u | 2 ( p i ) d u = C ( p i ) λ n ,

where i = 1 , 2 .

Similarly we have
ρ p i ( ) ( e π 2 2 | x λ | 2 ) C ( p i ) + λ n , i = 1 , 2 .
By Proposition 2.9, we get e π 2 2 | x λ | 2 p i ( ) > 1 , when λ is sufficiently large. Thus by Proposition 2.10, we have
ρ p i ( ) ( e π 2 2 | x λ | 2 ) 1 ( p i ) + e π 2 2 | x λ | 2 p i ( ) ρ p i ( ) ( e π 2 2 | x λ | 2 ) 1 ( p i ) .
So
C ( p i ) + λ n / ( p i ) + n G λ p i ( ) C ( p i ) λ n / ( p i ) n ,
(2.2)

where i = 1 , 2 .

Similarly we can get
C ( p 3 ) + λ n / ( p 3 ) + n 1 λ n e π 2 | x λ | 2 p 3 ( ) C ( p 3 ) λ n / ( p 3 ) n .
(2.3)

All the inequalities above are established when the λ is sufficiently large.

By the assumption, we have
B M ( G λ , G λ ) p 3 ( ) M p 1 ( ) , p 2 ( ) , p 3 ( ) G λ p 1 ( ) G λ p 2 ( ) .
(2.4)
Now combining (2.1), (2.2), (2.3) and (2.4), we get
C ( p 3 ) + λ n ( p 3 ) + n | R n e λ 2 ξ 2 M ( ξ ) d ξ | C λ n e π 2 | x λ | 2 p 3 ( ) | R n e λ 2 ν 2 M ( ν ) d ν | B M ( G λ , G λ ) p 3 ( ) M p 1 ( ) , p 2 ( ) , p 3 ( ) G λ p 1 ( ) G λ p 2 ( ) C M p 1 ( ) , p 2 ( ) , p 3 ( ) λ n ( p 1 ) n λ n ( p 2 ) n .
Hence
| λ n R n e λ 2 ξ 2 M ( ξ ) d ξ | C M p 1 ( ) , p 2 ( ) , p 3 ( ) λ n q ,

when λ is sufficiently large. □

We are now ready to prove Theorem 2.8.

Proof of Theorem 2.8 Assume that 1 ( p 1 ) + 1 ( p 2 ) < 1 ( p 3 ) + . By a simple calculation, we obtain that
B M ( M y f , M y g ) ( x ) = R 2 n ( M y f ) ( ξ ) ( M y g ) ( η ) M ( ξ η ) e 2 π i ξ + η , x d ξ d η = R 2 n T y f ˆ ( ξ ) T y g ˆ ( η ) M ( ξ η ) e 2 π i ξ + η , x d ξ d η = R 2 n f ˆ ( ξ ) g ˆ ( η ) M ( ξ η + 2 y ) e 2 π i ξ + η , x d ξ d η = B T 2 y M ( f , g ) ( x ) ,
where T 2 y M = M ( x + 2 y ) . Thus T 2 y M BM ˜ ( R 2 n ) ( p 1 ( ) , p 2 ( ) , p 3 ( ) ) . Applying Lemma 2.11 to T 2 y M , we get
| λ n R n e λ 2 ξ 2 M ( ξ + 2 y ) d ξ | C M p 1 ( ) , p 2 ( ) , p 3 ( ) λ n q .
Observe that 1 q = 1 ( p 1 ) + 1 ( p 2 ) 1 ( p 3 ) + < 0 and M is continuous. By letting λ , we have
lim λ | λ n R n e λ 2 ξ 2 M ( ξ + 2 y ) d ξ | = π n 2 | M ( 2 y ) | = 0 .
Since y is arbitrary, we have M = 0 . This is a contradiction. Thus
1 ( p 3 ) + 1 ( p 1 ) + 1 ( p 2 ) .

 □

3 The Mihlin-Hörmander type estimate for multilinear multipliers on weighted variable exponent Lebesgue spaces

Roughly speaking, in the linear case, by adding the condition that the Hardy-Littlewood maximal operator is bounded on weighted variable spaces, the results of multipliers on weighted variable spaces can be derived from the weighted multiplier theorem on classical Lebesgue spaces and the extrapolation theorem on weighted variable spaces. See, for example, [[3], Theorem 4.5, Theorem 4.7], [30] and [31].

However, in the multilinear case, the method faces some challenges. One problem is that we have no multilinear extrapolation theorem on spaces with variable exponents yet, though the counterpart on classical Lebesgue spaces appeared early, see [32].

We give another way to get the Mihlin-Hörmander conditions for multilinear Fourier multipliers on weighted variable spaces.

First we use Q to denote a cube in R n . Recall that the Hardy-Littlewood maximal operator is defined by
M ( f ) ( x ) = sup Q x 1 | Q | Q | f ( y ) | d y .
And the sharp maximal function is defined by
M # ( f ) ( x ) = sup Q x inf c R 1 | Q | Q | f ( y ) c | d y .
For δ > 0 , we also define
M δ ( f ) = M ( | f | δ ) 1 / δ and M δ # ( f ) = M # ( | f | δ ) 1 / δ .
For f = ( f 1 , , f N ) and p 1 , we define
M p ( f ) ( x ) = sup Q x i = 1 N ( 1 | Q | Q | f i ( y i ) | p d y i ) 1 / p .

Definition 3.1 ([33])

Given P = ( p 1 , , p N ) with 1 p 1 , , p N < and 1 / p 1 + + 1 / p N = 1 / p . Let w = ( w 1 , , w N ) . Set
v w = i = 1 N w i p / p i .
We say that w satisfies the A P condition if
sup Q ( 1 | Q | Q v w ( x ) d x ) 1 / p i = 1 N ( 1 | Q | Q w i ( x ) 1 p i d x ) 1 / p i < .

When p i = 1 , then ( 1 | Q | Q w i ( x ) 1 p i d x ) 1 / p i is understood as ( inf Q w i ) 1 .

We now give a Mihlin-Hörmander type theorem for multilinear Fourier multipliers on weighted variable exponent Lebesgue spaces.

Theorem 3.2 Suppose that N n / 2 < s N n , m L ( R N n ) and
sup R > 0 m ( R ξ ) χ { 1 < | ξ | < 2 } H s ( R N n ) < .
Set r 0 : = N n / s , a series of variable indexes p 1 ( x ) , , p N ( x ) P ( R n ) , and p ( x ) P 0 ( R n ) , such that 1 p 1 ( x ) + 1 p 2 ( x ) + + 1 p N ( x ) = 1 p ( x ) , where ( p j ) > r 0 , j = 1 , 2 , , N . Suppose that there are 0 < q < p , r 0 < q j < ( p j ) such that the Hardy-Littlewood maximal operator is bounded on L p ˜ ( ) ( ( w 1 w N ) q p ˜ ( ) ) and L p ˜ j ( ) ( w j q j p ˜ j ( ) ) , where p ˜ ( x ) = p ( x ) q , p ˜ j ( x ) = p j ( x ) q j , j = 1 , 2 , , N . Then there exists some C > 0 such that
T m ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) C i = 1 N f i L p i ( ) ( w i p i ( ) ) .

Before proving the theorem, we present some preliminary results. The following inequality is a classical result of Fefferman and Stein [34].

Proposition 3.3 ([34])

Let 0 < δ < p < and w A . Then there exists some constants C n , p , δ , w > 0 such that
R n ( M δ f ) ( x ) p w ( x ) d x C n , p , δ , w R n ( M δ # f ) ( x ) p w ( x ) d x .

The next result comes from Lemma 2.6 in [12]. For our purpose, we restate it in the proper way.

Proposition 3.4 ([12])

Let 1 < r < min { s ( s 1 ) , 2 s N n } such that p 0 : = r r 0 < q j , j = 1 , , N . If 0 < δ < p 0 / N , then under the assumption of Theorem  3.2, there exists some C > 0 such that for all f L t 1 ( R n ) × × L t N ( R n ) , p 0 t 1 , , t N < , we have
M δ # ( T m f ) C M p 0 ( f ) .

Proposition 3.5 ([3])

Let X be a metric measure space and Ω be an open set in X. Assume that for some p 0 and q 0 satisfying
0 < p 0 q 0 < , p 0 < p and 1 p 0 1 p + < 1 q 0 ,
and for every weight w A 1 ( Ω ) , there holds the inequality
( Ω f q 0 ( x ) w ( x ) d μ ( x ) ) 1 q 0 c 0 ( Ω g p 0 ( x ) [ w ( x ) ] p 0 q 0 d μ ( x ) ) 1 p 0
for all ( f , g ) in a given family . Let the variable exponent q ( x ) be defined by
1 q ( x ) = 1 p ( x ) ( 1 p 0 1 q 0 ) .

Let the exponent p ( x ) and the weight ϱ satisfy that p P 0 ( Ω ) and is bounded on L q ˜ ( ) ( Ω , ϱ q 0 q ˜ ( ) ) .

Then, for all ( f , g ) F with f L q ( ) ( Ω , ϱ q ( ) ) , the inequality
f L q ( ) ( Ω , ϱ q ( ) ) C g L p ( ) ( Ω , ϱ p ( ) )

is valid with a constant C > 0 .

Remark 3.6 Note that the condition p P ( Ω ) in the extrapolation theorem of [3] can be released to p P 0 ( Ω ) with nearly no modification to the proof.

Proposition 3.7 ([[11], Proposition 2.3])

Let p 0 1 and p i > p 0 for i = 1 , , N and 1 / p 1 + + 1 / p N = 1 / p . Then the inequality
M p 0 ( f ) L p ( v w ) C i = 1 N f i L p i ( w i )

holds if and only if w A P / p 0 , where P / p 0 = ( p 1 / p 0 , , p N / p 0 ) .

Remark 3.8 When N = 1 , the conclusion above is valid. Specifically, let p 0 1 and p > p 0 , then M p 0 f L p ( w ) C f L p ( w ) holds if and only if w A p / p 0 .

We are now ready to prove Theorem 3.2

Proof of Theorem 3.2 For any f j S ( R n ) , j = 1 , , N , and v A , by Proposition 3.3 and Proposition 3.4, we have
T m ( f ) L q ( v ) M δ ( T m ( f ) ) L q ( v ) C n , q , δ , v M δ # ( T m ( f ) ) L q ( v ) C M p 0 ( f ) L q ( v ) ,
(3.1)

where p 0 is defined as in Proposition 3.4.

Since the maximal operator is bounded on L p ˜ ( ) ( ( w 1 w N ) q p ˜ ( ) ) , by Proposition 3.5, we have
T m ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) C M p 0 ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) .
(3.2)
By Hölder’s inequality,
M p 0 ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) = M p 0 ( f ) w 1 w N L p ( ) i = 1 N { M p 0 ( f i ) w i } L p ( ) C M p 0 ( f 1 ) w 1 L p 1 ( ) M p 0 ( f N ) w N L p N ( ) ,
(3.3)
where
M p 0 ( f i ) : = sup Q x ( 1 | Q | Q | f i ( y i ) | p 0 d y i ) 1 p 0 , i = 1 , , N .
Since p 0 < q j , we can choose u j > 1 such that p 0 u j = q j . Thus by Proposition 3.7, we get that
M p 0 ( f ) L q j ( w ) C f L q j ( w )
is valid for all w A u j , f L q j ( w ) . Using the boundedness of again, we see from Proposition 3.5 that
M p 0 ( f j ) L p j ( ) ( w j p j ( ) ) C f j L p j ( ) ( w j p j ( ) ) , j = 1 , , N .
It follows from (3.3) that
M p 0 ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) C f 1 L p 1 ( ) ( w 1 p 1 ( ) ) f N L p N ( ) ( w N p N ( ) ) .
By (3.2), we obtain the desired conclusion as follows:
T m ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) C f 1 L p 1 ( ) ( w 1 p 1 ( ) ) f N L p N ( ) ( w N p N ( ) ) .

 □

As an application of Theorem 3.2, we now consider the case when weight functions are defined by
w j ( x ) = [ 1 + | x x 0 | ] β j k = 1 l | x x k | β k j , j = 1 , , N ,
(3.4)

where x k are fixed points in R n , k = 1 , , l .

Corollary 3.9 Suppose that N n / 2 < s N n , m L ( R N n ) and
sup R > 0 m ( R ξ ) χ { 1 < | ξ | < 2 } H s ( R N n ) < .
Let the variable exponents p 1 ( x ) , , p N ( x ) and p ( x ) satisfy that 1 p 1 ( x ) + 1 p 2 ( x ) + + 1 p N ( x ) = 1 p ( x ) , where 1 < p p + < , r 0 : = N n / s < ( p j ) ( p j ) + < , and p j L H 0 ( R n ) . Suppose that there exists some R > 0 and x 0 R n such that p j ( x ) ( p j ) = const for x R n B ( x 0 , R ) , j = 1 , , N , and that
n p j ( x k ) < β k j < min { n p j ( x k ) , n N p ( x k ) } , k = 1 , , l , n ( p j ) < β j + k = 1 l β k j < min { n ( p j ) , n N p }

for j = 1 , , N . Then T m is bounded from L p 1 ( ) ( w 1 p 1 ( ) ) × × L p N ( ) ( w N p N ( ) ) to L p ( ) ( w 1 p ( ) w N p ( ) ) .

To prove Corollary 3.9, we need to define a class of weight functions, which is a special case of [[3], Definition 2.7].

Definition 3.10 ([3])

Let p ( ) C ( R n ) and there exists R > 0 and x 0 R n such that p ( x ) p = const for all x R n B ( x 0 , R ) . A weight function w of the form
w = [ 1 + | x x 0 | ] β k = 1 l | x x k | β k
is said to belong to the class V p ( ) ( R n , Π ) if
n p ( x k ) < β k < n p ( x k ) , k = 1 , , l
and
n p < β + k = 1 l β k < n p .

We first give some lemmas that are needed to prove Corollary 3.9.

Lemma 3.11 ([[2], Proposition 2.3])

Given a domain Ω, if p + < , then p ( ) L H 0 ( Ω ) is equivalent to assuming r ( ) = 1 / p ( ) L H 0 ( Ω ) .

Lemma 3.12 ([[3], Remark 2.10])

For every p 0 ( 1 , p ) , there hold the implications
ϱ V p ( ) ( Ω , Π ) ϱ p 0 V ( p ˜ ) ( ) ( Ω , Π ) ,

where p ˜ ( ) = p ( ) p 0 .

Lemma 3.13 ([[3], Theorem 2.10])

Suppose that Ω is an unbounded open set of R n . Let p ( ) L H 0 satisfy 1 < p p + < , and let there exists some R > 0 and x 0 R n such that p ( x ) p = const for x Ω B ( x 0 , R ) . If ϱ V p ( ) ( Ω , Π ) , then is bounded on the space L p ( ) ( Ω , ϱ p ( ) ) .

Then we have the following lemma.

Lemma 3.14 Let p ( ) L H 0 satisfy 1 < p p + < . Suppose that there exists some R > 0 and x 0 R n such that p ( x ) p = const for x R n B ( x 0 , R ) . If ϱ V p ( ) ( R n , Π ) , then is bounded on the space L ( p ˜ ) ( ) ( ϱ q 0 ( p ˜ ) ( ) ) for all q 0 ( 1 , p ) , where p ˜ ( ) = p ( ) q 0 .

Proof If p ( ) L H 0 , then p ˜ ( ) L H 0 . By Lemma 3.11, we have ( p ˜ ) ( ) L H 0 . And since ϱ V p ( ) ( R n , Π ) , by Lemma 3.12 we know ϱ q 0 V ( p ˜ ) ( ) ( R n , Π ) . Then it follows from Lemma 3.13 that is bounded on L ( p ˜ ) ( ) ( ϱ q 0 ( p ˜ ) ( ) ) . □

Now we are ready to prove Corollary 3.9.

Proof of Corollary 3.9 Fix some 1 < q < p . Let q j , p ˜ ( x ) and p ˜ j ( x ) be defined as in Theorem 3.2. By the assumption, we have
n p j ( x k ) < β k j < n p j ( x k ) , k = 1 , , l , n ( p j ) < β j + k = 1 l β k j < n ( p j ) .
So w j V p j ( ) ( R n , Π ) . By Lemma 3.14, is bounded on L ( p ˜ j ) ( ) ( w j q j ( p ˜ j ) ( ) ) . Again, by the assumption, we get
j = 1 N n p j ( x k ) < j = 1 N β k j < n p ( x k ) , k = 1 , , l ,
(3.5)
j = 1 N n ( p j ) < j = 1 N β j + k = 1 l j = 1 N β k j < n p .
(3.6)

Note that the left-hand sides of (3.5) and (3.6) are equal to n p ( x k ) and n p , respectively. So w 1 w N V p ( ) ( R n , Π ) .

By Lemma 3.11, we know 1 p j ( ) L H 0 . Therefore, 1 p ( ) = 1 p 1 ( ) + + 1 p N ( ) L H 0 . Thus p ( ) L H 0 . Now by Lemma 3.14, is bounded on L ( p ˜ ) ( ) ( ( w 1 w N ) q ( p ˜ ) ( ) ) . By Theorem 3.2, there exists some C > 0 such that
T m ( f ) L p ( ) ( w 1 p ( ) w N p ( ) ) C j = 1 N f j L p j ( ) ( w j p j ( ) ) .

 □

Declarations

Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (11371200) and the Research Fund for the Doctoral Program of Higher Education (20120031110023). The authors thank Kangwei Li for very useful discussions and suggestions.

Authors’ Affiliations

(1)
School of Mathematical Sciences and LPMC, Nankai University

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© Ren and Sun; licensee Springer. 2014

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