The Dual of the Two-Variable Exponent Amalgam Spaces (Lq(),lp())(Ω)

Abstract

Wiener amalgam spaces are a class of function spaces where the function’s local and global behavior can be easily distinguished. These spaces are ex-tensively used in Harmonic analysis that originated in the work of Wiener. In this paper: we first introduce a two-variable exponent amalgam space (Lq(),lp())(Ω). Secondly, we investigate some basic properties of these spaces, and finally, we study their dual.

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Massinanke, S. , Coulibaly, S. and Traore, M. (2024) The Dual of the Two-Variable Exponent Amalgam Spaces (Lq(),lp())(Ω). Journal of Applied Mathematics and Physics, 12, 383-431. doi: 10.4236/jamp.2024.122027.

1. Introduction

In recent years, function spaces with variable exponents have been intensively studied by an important number of authors. The generalized Lebesgue spaces L p ( x ) (or variable exponent Lebesgue spaces) appeared in literature for the first time already in an article by Orlicz [1] , but the advanced development started with the paper [2] of Kovacik and Rakosnik in 1991. A survey of the history of the field with a bibliography of more than a hundred titles published up to 2004 can be found in [3] . To illustrate the importance of Wiener amalgams, let us mention one specific example, which today plays a central role in the theory of time-frequency analysis. This is the space W ( F L 1 , L 1 ) consisting of functions that are locally the Fourier transform of an L 1 function and have a global behavior L 1 .

The motivation to study such function spaces comes from applications to fluid dynamics [4] [5] , image processing [6] , PDE (Partial Differential Equation) and the calculus of variation [7] [8] .

In the early 1980s, in a series of articles, Feichtinger provides the most general definition of Wiener Amalgam (WA) [9] [10] [11] .

For an introduction to WA on the real line and for some historical notes, we refer to [12] .

In mathematical domain, Wiener amalgams proved to be a very useful tool, for instance in time-frequency analysis [13] (e.g. the Balian-Low theorem [12] ) and sampling theory. Our interest in those spaces arose from the Wiener Amalgams of the spaces with constant exponents [14] .

F. Holland began his systematic study in 1975 [15] . Since, he has been widely studied by [16] [17] [18] .

Only some papers treat the Wiener amalgam with one variable exponent [19] [20] [21] .

It seems that Wiener amalgams with two or more variable exponents have not yet been considered in full generality. In this work, we define a two-variable exponent amalgam space ( L q ( ) , l p ( ) ) ( Ω ) and give some properties and study their dual.

Some properties of variable exponent amalgam space can be derived in the same way as for usual amalgams ( L q , l p ) , where q , p are constant, while others are very complicate.

The following definitions and results on the amalgam spaces ( L q , l p ) with constant exponents can be found in [15] [17] [22] [23] [24] [25] [26] .

1) Classical Wiener Amalgam space ( L q , l p ) with constant exponents

We give d as a fixed positive integer and d as the d-dimensional Euclidean space equipped with its Lebesgue measure dx.

For 1 p , q , the amalgam of L q and l p is the space ( L q , l p ) defined by:

( L q , l p ) ( d ) = { f L l o c 1 ( d ) : f 1 q , p < } ,

where for r > 0

f r q , p = { [ k d f χ I k r q p ] 1 p if p < sup k d f χ I k r q if p = (1)

with I k r = j = 1 d [ k j × r , ( k j + 1 ) × r [ and k = ( k j ) 1 j d d .

The map f f p denotes the usual norm on Lebesgue space L p ( d ) on d while χ E stands for the characteristic function of the subset E of d .

2) Some basic facts about amalgam spaces ( L q , l p ) ( d ) with constant exponents

Let 1 p , q . Amalgam spaces ( L q , l p ) ( d ) are defined in (1).

Here are the well-known results properties (see, for example, [15] [17] [22] [23] [24] [25] [26] ):

· For 0 < r < , f f r q , p is a norm on ( L q , l p ) ( d ) equivalent to f 1 q , p (the equivalence constants depend only on r).

With respect to these norms, the amalgam spaces ( L q , l p ) ( d ) are Banach spaces.

· The spaces are strictly increasing with the global exponent p and (strictly) decreasing with a growing local exponent q more precisely:

*

f 1 q , p f 1 q , p 1 if 1 p 1 < p (2)

that is:

*

1 p 1 < p ( L q , l p 1 ) ( d ) ( L q , l p ) ( ℝ d )

*

f 1 q , p f 1 q 1 , p if q < q 1 (3)

that is:

q < q 1 ( L q 1 , l p ) ( d ) ( L q , l p ) ( ℝ d )

· For 0 < r < , Holder’s inequality is fulfilled:

f g 1 f r q , p × g r q , p , f , g L l o c 1 ( d ) (4)

where q , p are conjugate exponents of q , p that is 1 q + 1 q = 1 p + 1 p = 1 .

3) Duality of the wiener amalgam spaces ( L q , l p ) ( d ) with constant exponents

· When 1 q , p < , ( L q , l p ) ( d ) is isometrically isomorphic to the dual ( L q , l p ) * ( d ) of ( L q , l p ) ( d ) in the sense that for any element T of ( L q , l p ) * ( d ) , there is an unique element φ ( T ) of ( L q , l p ) ( d ) such that:

T , f = d f ( x ) φ ( T ) ( x ) d x , f ( L q , l p ) ( d ) and furthermore

φ ( T ) 1 q , p = T .

We recall that T : = sup { | T , f | : f L l o c q ( d ) , f 1 q , p 1 } .

· If 1 q , p < , then there exist real numbers A and B such that:

A × f r q , p r d p { d [ J x r | f ( y ) | q d y ] p q d x } 1 p B × f r q , p

for f L l o c 1 ( d ) , r > 0 and J x r = j = 1 d ] x j r 2 , x j + r 2 [ , x = ( x j ) 1 j d d .

4) Denseness of some subsets in amalgam spaces ( L q , l p ) ( Ω ) with constant exponents

4.1) We define S = S ( Ω ) to be the collection of all simple functions, that is, functions whose range is finite: s S ( Ω ) if:

s ( x ) = j = 1 n a j χ E j ( x )

where the numbers a j are distinct and the sets E j Ω are pairwise disjoint.

4.2) Let Ω be an open non void set. Suppose that 1 q , p < , then C c ( Ω ) and S ( Ω ) are dense in ( L q , l p ) ( Ω ) .

5) Constant Lebesgue sequence spaces

a) For any real sequence ( x k ) k ,

( x k ) k l p = { [ k | x k | p ] 1 p if p < sup k | x k | if p = (5)

b)

l p = { ( x k ) k : ( x ) k l p < } (6)

c) c 0 = { ( x k ) k l : lim k x k = 0 }

Therefore, we get the following proposition.

Proposition 1.

Let 1 p .

a) Endowed with the two usual operations, l p is a real vector space and the mapping ( x k ) k ( x k ) k l p makes it a Banach space:

b) Holder’s inequality: If 1 r , q , p and 1 r = 1 p + 1 q , then

( x k y k ) k l r ( x k ) k l p ( y k ) k l q (7)

c) Suppose that 1 p < . Then the topological dual of l p is isomorphically isometric to l p and the duality bracket is defined as follows:

( x k ) k , ( y k ) k = k x k y k , ( x k ) k l p , ( y k ) k l p

Furthermore, the following result is well-known.

Proposition 2.

a) c 0 is a closed sub vector space of l whose topological dual is l 1

b) For any ( x k ) k :

1 p p ˜ ( x k ) k l p ˜ ( x k ) k l p (8)

therefore l p is continuously embedded in l p ˜ .

Given a normed vector space V, we denote by V * the normed vector space of bounded linear functionals V endowed with the usual operator norm. We wish to study [ ( L q ( ) , l p ( ) ) ( Ω ) ] * . The study is motivated by norm conjugate inequality (Theorem 22). More precisely, for g ( L q ( ) , l p ( ) ) ( Ω ) , we define the integral operator associated to g to be the operator T g : ( L q ( ) , l p ( ) ) ( Ω ) given by T g ( f ) = Ω f ( x ) g ( x ) d x Hölder’s inequality ensures that T g is a well-defined operator and that it is bounded. The linearity of the integral implies the linearity of T g whence T g [ ( L q ( ) , l p ( ) ) ( Ω ) ] * .

We have thus defined an operator T : ( L q ( ) , l p ( ) ) ( Ω ) [ ( L q ( ) , l p ( ) ) ( Ω ) ] * . Again using the linearity of the integral, we find that T is linear. What’s more, by Proposition 20, we have the identity:

T g sup { | T g ( f ) | : f ( L q ( ) , l p ( ) ) ( Ω ) , f r q ( ) , p ( ) , Ω 1 } g r q ( ) , p ( ) , Ω .

From this, it follows that T is a bijection, bounded, linear operator from ( L q ( ) , l p ( ) ) ( Ω ) into [ ( L q ( ) , l p ( ) ) ( Ω ) ] * , it actually turns out that this operator is an isomorphism.

The paper is divided into four sections. Section 2 includes fundamental notations and definitions, which will be used in the subsequent sections. Section 3 contains auxiliary results and properties. Section 4 deals with the dual of ( L q ( ) , l p ( ) ) ( Ω ) .

Throughout the paper, the constants are independent of the main parameters involved, with values that may differ from line to line.

2. Definitions and Notations

· d will be a fixed positive integer, Ω a non void subset of d , for any subset E of d the d-dimensional euclidean space d is equipped with its Lebesgue measure E | E | and χ E will be the characteristic function of E, for any x d , | x | will be the usual euclidean norm of x.

* p ( ) , q ( ) , r ( ) , in general indicate that p , q , r , are functions used as norm indexes ( p ( ) , q ( ) , r ( ) , ).

* f ( ) , g ( ) , h ( ) , in general mean that f , g , h , are functions which are applied on the elements x , y , z , of d , the dots between the brace refer to these elements.

Let P ( Ω ) be the set of all Lebesgue measurable functions p ( ) : Ω [ 1, ] . In order to distinguish between variable and constant exponents, we will always denote exponent functions by p ( ) .

Given p ( ) and a set E Ω , let:

p ( E ) = ess inf x E p ( x ) , p + ( x ) = ess sup x E p ( x ) .

We simply write:

p = p ( Ω ) and p + = p + ( Ω ) .

As in the case for the classical Lebesgue spaces, we will encounter different behaviors depending on whether:

p ( x ) = 1 , 1 < p ( x ) < , p ( x ) = .

Therefore, we define three canonical subsets of Ω:

Ω p ( ) = Ω = { x Ω : p ( x ) = }

Ω 1 p ( ) = Ω 1 = { x Ω : p ( x ) = 1 }

Ω * p ( ) = Ω * = { x Ω : 1 < p ( x ) < }

Below, the value of certain constants will depend on whether these sets have positive measure; if they do we will use the fact that, for instance,

χ Ω 1 p ( ) = 1

Given p ( ) , we define the conjugate exponent p ( ) by:

1 p ( x ) + 1 p ( x ) = 1, x Ω

with the convention 1 = 0 .

Since p ( ) is a function, the notation p ( ) can be mistaken for the derivative of p ( ) , but we will never use the symbol <<>> in this sense.

The notation p will always denote the conjugate of a constant exponent. The operation of taking the supremum/infimum of an exponent does not commute with forming the conjugate exponent. In fact, a straightforward computation shows that:

( p ( ) ) + = ( p ) , ( p ( ) ) = ( p + )

For simplicity, we will omit one set of parentheses and write the left-hand side of each equality as:

p ( ) + = ( p ) , p ( ) = ( p + )

We will always avoid ambiguous expressions such as p + .

A function r ( ) : Ω is locally log-Holder continuous and denotes this by r ( ) L H 0 ( Ω ) , if there exists a constant C 0 , such that:

x , y Ω , | x y | 1 2 : | r ( x ) r ( y ) | C 0 log ( | x y | )

We say that r ( ) is log-Holder continuous at infinity and denote this by r ( ) L H ( Ω ) , if there exist C and r = r ( ) such that

x Ω : | r ( x ) r | C log ( e + | x | )

If r ( ) is log-Holder continuous locally and at infinity, we will denote this by writing r ( ) L H ( Ω ) = L H 0 ( Ω ) L H ( Ω ) .

If there is no confusion about the domain we will sometimes write: L H 0 , L H or L H .

· Let L 0 ( Ω , d x ) = L 0 ( Ω ) be the vector space of equivalence modulo dx-always everywhere equality of real-valued measurable functions on Ω.

· For any q ( ) P ( Ω ) and a Lebesgue measurable function f, we denote:

ρ L q ( ) ( Ω ) ( f ) = ρ q ( ) , Ω ( f ) = ρ q ( ) ( f ) = ρ ( f ) = Ω \ Ω q ( ) | f ( x ) | q ( x ) d x + f L ( Ω q ( ) ) (9)

where

f L ( Ω q ( ) ) = inf { ε > 0 : | f ( x ) | ε a . e . x Ω q ( ) }

We define:

f L q ( ) ( Ω ) = f q ( ) , Ω = f q ( ) = inf { λ > 0 : ρ q ( ) ( f λ ) 1 } (10)

L q ( ) ( Ω ) = { f L 0 ( Ω ) : f L q ( ) ( Ω ) < } (11)

· If f is unbounded on Ω q ( ) or f ( ) q ( ) L 1 ( Ω q ( ) \ Ω ) , we define ρ q ( ) ( f ) =

· If | Ω q ( ) | = 0 in particular when q + < , we let f L ( Ω q ( ) ) = 0 .

· If | Ω \ Ω q ( ) | = 0 then ρ q ( ) ( f ) = f L ( Ω q ( ) ) .

Let I be a non void countable set, P ( I ) be the set of all Lebesgue measurable functions p ( ) : I [ 1, ] .

· For any p ( ) P ( I ) and { a k } k I I , we define the modular ρ l p ( ) ( I ) by:

ρ l p ( ) ( I ) ( { a k } k I ) = ρ p ( ) ( { a k } k I ) = ρ ( { a k } k I ) = k I \ I p ( ) | a k | p ( k ) + sup k I p ( ) | a k | (12)

or

ρ l p ( ) ( I ) ( { a k } k I ) = { | a k | p ( k ) } k I l 1 ( I \ I p ( ) ) + { | a k | } k I l ( I p (   ) )

· If { | a k | p ( k ) } k I l 1 ( I \ I p ( ) ) or { | a k | } k I is unbounded on I p ( ) , we define ρ p ( ) ( { a k } k I ) = .

· If I p ( ) = , in particular when p + < , we let sup k I p ( ) | a k | = 0 therefore ρ l p ( ) ( I ) ( { a k } k I ) = k I | a k | p ( k ) .

· If I \ I q ( ) = then ρ p ( ) ( { a k } k I ) = sup k I p ( ) | a k | .

Definition 3.

Let I be a non-void countable set, P ( I ) be the set of all functions p ( ) : I [ 1, ] .

For any p ( ) P ( I ) , we define the variable sequence spaces l p ( ) ( I ) by:

l p ( ) ( I ) = { { a k } k I I : { a k } k I l p ( ) ( I ) < } (13)

where

{ a k } k I l p ( ) ( I ) = inf { λ > 0 : ρ l p ( ) ( I ) ( { a k } k I λ ) 1 } (14)

ρ l p ( ) ( I ) ( { a k } k I ) = k I \ I p ( ) | a k | p ( k ) + sup k I p ( ) | a k | . (15)

Then, for any p ( ) P ( I ) , λ > 0 :

ρ l p ( ) ( I ) ( { a k } k I λ ) = k I \ I p ( ) ( | a k | λ ) p ( k ) + sup k I p ( ) | a k | λ . (16)

We define on l p ( ) ( I ) some operations as follows:

For any { a k } k I l p ( ) ( I ) , { b k } k I l p ( ) ( I ) , α , β \ { 0 } : { a k } k I + { b k } k I = { a k + b k } k I ; α { a k } k I = { α a k } k I ; { a k } k I { b k } k I = { a k b k } k I ; { a k } k I β = { a k β } k I .

We also define the absolute value of any element { a k } k I of l p ( ) ( I ) by:

| { a k } k I | = { | a k | } k I

the s-power of { a k } k I of l p ( ) ( I ) (with 1 s < ) is defined by:

| { a k } k I | s = { | a k | s } k I

Remark that:

· If p ( ) < ,

then ρ p ( ) , I ( { a k } k I ) = k I \ I p ( ) | a k | p ( k ) = k I | a k | p ( k ) .

· If p ( ) = ,

then ρ p ( ) , I ( { a k } k I ) = sup k I | a k | .

Properties 4.

1) Let’s prove that:

1 p ( ) < p ˜ ( ) { a k } k I l p ( ) ( I ) { a k } k I l p ( ) ( I ) . (17)

Remark that (17) generalizes (8).

· Case 1: p ( ) < p ˜ ( ) <

p ( ) < p ˜ ( ) < I p ( ) = I p ˜ ( ) =

Let’s prove that: p ( ) < p ˜ ( ) < a.e. on I l p ( ) ( I ) = { { a k } k I ( ) I : inf { λ > 0 : k I ( | a k | λ ) p ( k ) 1 } < } l p ˜ ( ) ( I ) = { { a k } k I ( ) I : inf { λ > 0 : k I ( | a k | λ ) p ˜ ( k ) 1 } < } .

If ( a k ) k I belongs to the left-hand side set, then:

inf { λ > 0 : k ( | a k | λ ) p ( k ) 1 } < 0 < λ 0 < :

k I ( | a k | λ 0 ) p ( k ) 1 (18)

this implies that k I : ( | a k | λ 0 ) p ( k ) 1

k I : | a k | λ 0 1. (19)

Since k I : 1 p ( k ) < p ˜ ( k ) < k I : p ˜ ( k ) p ( k ) > 0 , this inequality with (19) ( | a k | λ 0 ) p ˜ ( k ) p ( k ) 1 then ( | a k | λ 0 ) p ˜ ( k ) ( | a k | λ 0 ) p ( k ) , therefore k I ( | a k | λ 0 ) p ˜ ( k ) k I ( | a k | λ 0 ) p ( k ) ( 18 ) 1 , this implies that ( a k ) k I l p ˜ ( ) ( I ) then l p ( ) ( I ) l p ˜ ( ) ( I ) .

· Case 2: p ( ) < ; p ˜ ( ) = .

p ( ) < I p ( ) = and p ˜ ( ) = I p ˜ ( ) = I

In this case: ρ l p ( ) ( I ) ( { a k } k I ) = k I \ I p ( ) | a k | p ( k ) + sup k I p ( ) | a k | = k I | a k | p ( k )

ρ l p ˜ ( ) ( I ) ( { a k } k I ) = k I \ I p ˜ ( ) | a k | p ( k ) + sup k I p ˜ ( ) | a k | = sup k I | a k |

l p ( ) ( I ) = { { a k } k I ( ) I : inf { λ > 0 : k I ( | a k | λ ) p ( k ) 1 } < } ,

l p ˜ ( ) ( I ) = { { a k } k I ( ) I : inf { λ > 0 : sup k I | a k | λ 1 } < } .

Let’s compare { λ > 0 : k I ( | a k | λ ) p ( k ) 1 } and { λ > 0 : sup k I | a k | λ 1 }

Take λ 0 in the first (left-hand side) set, then k I ( | a k | λ 0 ) p ( k ) 1 , then k I : ( | a k | λ 0 ) p ( k ) 1 k I : | a k | λ 0 1 sup k I | a k | λ 0 1 this implies that λ 0 belongs to the right-hand side set, therefore:

We have:

{ λ > 0 : k I ( | a k | λ ) p ( k ) 1 } { λ > 0 : sup k I | a k | λ 1 } inf { λ > 0 : sup k I | a k | λ 1 } inf { λ > 0 : k I ( | a k | λ ) p ( k ) 1 } l p ( ) ( I ) l p ˜ ( ) ( I )

2) Given a non-void countable set I and p ( ) P ( I ) such that I p ( ) = , then for all s such that 1 p s < , we have:

{ | a k | s } k I l p ( ) ( I ) = { a k } k I l s p ( ) ( I ) s .

To prove this, let μ = λ 1 s

{ | a k | s } k I l p ( ) ( I ) = inf { λ > 0 : k I ( | a k | s λ ) p ( k ) 1 } = inf { μ s > 0 : k I ( | a k | s μ s ) p ( k ) 1 } = inf { μ s > 0 : k I ( | a k | μ ) s p ( k ) 1 } = { a k } k I l s p ( ) ( I ) s

3) When p ( ) = p , 1 p , the definition (13) is equivalent to the classical norm of l p seen in (6), let’s prove it:

For p ( ) = p < ,

then I p ( ) = and ρ p ( ) , I ( { a k } k I ) = k I | a k | p ( k ) ,

{ a k } k I l p ( ) ( I ) = inf { λ > 0 : k I ( | a k | λ ) p ( k ) 1 } = inf { λ > 0 : k I ( | a k | λ ) p 1 } = inf { λ > 0 : λ ( k I | a k | p ) 1 p } = ( k I | a k | p ) 1 p = { a k } k I l p ( I ) .

For p ( ) = p = ,

then

I p ( ) = I and ρ l p ( ) ( I ) ( { a k } k I ) = sup k I | a k | , therefore

{ a k } k I l p ( ) ( I ) = inf { λ > 0 : sup k I | a k | λ 1 } = inf { λ > 0 : λ sup k I | a k | } = sup k I | a k | = { a k } k I l + ( I ) .

4) Given a countable and non-void set I and p ( ) P ( I ) , for all:

{ a k } k I l p ( ) ( I ) and { b k } k I l p ( ) ( I ) , if { a k b k } k I l 1 ( I ) ,

then

k I a k b k K p ( ) { a k } k I l p ( ) ( I ) × { b k } k I l p ( ) ( I ) . (20)

This inequality can be generalized in the following way:

5) Given a countable and non-void set I and q ( ) , r ( ) P ( I ) , define p ( ) by:

1 p ( ) = 1 q ( ) + 1 r ( ) on I

Then, there exists a constant K such that for all:

{ a k } k I l q ( ) ( I ) , { b k } k I l r ( ) ( I ) : { a k b k } k I l p ( ) ( I ) and

{ a k b k } k I l p ( ) ( I ) K p ( ) { a k } k I l q ( ) ( I ) × { b k } k I l r ( ) ( I ) . (21)

In fact, we have the following result.

Proposition 5.

Given a non void countable set I and p ( ) P ( I ) .

a) Suppose that { b i } i I l p ( ) ( I ) . Then:

•) a T b ( a ) = i I a i b i is a continuous linear functional on l p ( ) ( I ) and

T b sup { | i I a i b i | : a = { a i } i I l p ( ) ( I ) , a l p ( ) ( I ) 1 } = b l p ( ) ( I )

••) If p ( ) < on I, then

T b = max { | i I a i b i | : a = { a i } i I l p ( ) ( I ) , a l p ( ) ( I ) = 1 } .

b) Suppose that b = { b i } i I I such that

N p ( ) ( b ) = sup { | i I a i b i | : a = { a i } i I I , C a r d ( { i I : a i 0 } ) < , a l p ( ) ( I ) = 1 } < .

Then,

b l p ( ) ( I ) and b l p ( ) ( I ) = N p ( ) ( b )

c) Suppose that p ( ) P ( I ) , p ( ) < on I and T belongs to the dual ( l p ( ) ( I ) ) * of l p ( ) ( I ) .

Then,

there exists b = ( b i ) i I l p ( ) ( I ) such that:

a = { a i } i I l p ( ) ( I ) : T ( a ) = i I a i b i

For the proof of (20) and (21) and Proposition 5, consult Theorem 2.26 and Corollary 2.28 of [27] take account of the fact that ( l p ( ) , l p ( ) ) is in fact the Lebesgue space L p ( ) ( E , A , μ ) where E = , A = { X : X E } = 2 X the power of the set X, μ is defined as: k : μ { k } = 1 , μ is a counting measure.

In this work, we will need the following lemma called Norm-modular unit ball property.

Lemma 6. (Norm-modular unit ball property)

Let Ω be a non void set q ( ) P ( Ω ) , suppose that q + < . For any sequence { f n } L q ( ) ( Ω ) and f L q ( ) ( Ω ) , f f n q ( ) , Ω 0 if only if ρ L q ( ) ( Ω ) ( f f n ) 0 .

Remark that the discrete version of this lemma is also valid.

Historic of the definition

Recall that: For 1 p , q , r > 0 ,

I k r = j = 1 d [ k j × r , ( k j + 1 ) × r [ , with k = ( k j ) 1 j d d .

The amalgam of L q and l p is the space ( L q , l p ) defined (see (1)) by:

( L q , l p ) ( d ) = { f L l o c 1 ( d ) : f 1 q , p < } ,

where

f r q , p = { [ k d f χ I k r q p ] 1 p if p < sup k d f χ I k r q if p =

Suppose that q is a function q ( ) and p a constant and taking account of (10), we get:

f r q ( ) , p = { [ k d f χ I k r q ( ) p ] 1 p if p < sup k d f χ I k r q ( ) if p = (22)

{ f χ I k r q ( ) } k d is real sequence indexed by a countable set d .

Suppose that q and p are both functions q ( ) and p ( ) and taking account of (14), (22) becomes:

f r q ( ) , p ( ) = { f χ I k r q ( ) } k d l p ( ) ( ℤ d )

which may be rewritten with more information under the form:

f r q ( ) , p ( ) , Ω = { f χ I k r L q ( ) ( Ω ) } k d l p ( ) ( d ) (23)

where

L q ( ) ( Ω ) = { f L 0 ( Ω ) : f L q ( ) ( Ω ) < }

f L q ( ) ( Ω ) = inf { λ > 0 : ρ L q ( ) ( Ω ) ( f λ ) 1 }

ρ L q ( ) ( Ω ) ( f ) = Ω \ Ω q ( ) | f ( x ) | q ( x ) d x + f L ( Ω q (   ) )

l p ( ) ( d ) = { { a k } k I ( ) d : { a k } k d l p ( ) ( d ) < }

{ a k } k d l p ( ) ( d ) = inf { λ > 0 : ρ l p ( ) ( d ) ( { a k } k d λ ) 1 }

ρ l p ( ) ( d ) ( { a k } k d ) = k d \ ( d ) p ( ) | a k | p ( k ) + sup k ( d ) p ( ) | a k |

Definition 7.

Let Ω be a set such that d Ω , for any q ( ) P ( Ω ) , p ( ) P ( d ) , let f L l o c q ( ) ( Ω ) , I k r = j = 1 d [ k j × r , ( k j + 1 ) × r [ , with k = ( k j ) 1 j d d , 0 < r < , for any Lebesgue measurable function f we define the non negative real number:

f r q ( ) , p ( ) , Ω = { f χ I k r L q ( ) ( Ω ) } k d l p ( ) ( d ) = { F ( k , r ) } k d l p ( ) ( d ) (24)

where

F ( k , r ) = f χ I k r L q ( ) ( Ω ) , k d , 0 < r < .

If we take r = 1 in (24), we get:

f 1 q ( ) , p ( ) , Ω = { F ( k , 1 ) } k d l p ( ) ( d ) = { f χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) . (25)

We define the two-variable exponential amalgam spaces ( L q ( ) , l p ( ) ) ( Ω ) by:

( L q ( ) , l p ( ) ) ( Ω ) = { f L l o c q ( ) ( Ω ) : f 1 q ( ) , p ( ) , Ω < } (26)

If there is no confusion:

f r q ( ) , p ( ) , d , ( L q ( ) , l p ( ) ) ( d ) will be smply f r q ( ) , p ( ) , ( L q ( ) , l p ( ) ) .

Explanation

To compute f r q ( ) , p ( ) , Ω = { f χ I k r L q ( ) ( Ω ) } k d l p ( ) ( d ) , we first calculate:

f χ I k r L q ( ) ( Ω ) = inf { λ > 0 : ρ L q ( ) ( Ω ) ( f χ I k r λ ) 1 } ,

(where ρ L q ( ) ( Ω ) ( f χ I k r λ ) = Ω \ Ω q ( ) | ( f χ I k r ( y ) λ ) | q ( y ) d y + f χ I k r λ L ( Ω q ( ) ) ), this result depends at least on k and r, we denote it by β ( k , r ) , after that we consider { β ( k , r ) } k d and determine:

{ β ( k , r ) } k d l p ( ) ( d ) = inf { λ > 0 : ρ l p ( ) ( d ) ( { β ( k , r ) } k d λ ) 1 } .

where

ρ l p ( ) ( d ) ( { β ( k , r ) } k d λ ) = k d \ ( d ) p ( ) ( | β ( k , r ) | λ ) p ( k ) + { | β ( k , r ) | λ } k d L + ( ( d ) p ( ) ) , this result depends at least on r.

Finally, the result of the calculation of f r q ( ) , p ( ) depends at least on r.

In other hand,

f ( L q ( ) , l p ( ) ) ( Ω )

{ f χ I k 1 L q ( ) ( Ω ) < , for any cube I k 1 Ω , and { f χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) < (27)

· A sequence ( f n ) n of ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) ) is said to converge in norm to f, we note:

f n f , if f f n 1 q ( ) , p ( ) , Ω 0 when n .

· For two functions (eventually constants) q ( ) , p ( ) on Ω such that 0 < p ( ) < q ( ) < , we define:

L p ( ) ( Ω ) + L q ( ) ( Ω ) = { f = g + h : g L p ( ) ( Ω ) , h L q ( ) ( Ω ) } .

This is a Banach space with the norm:

f L p ( ) ( Ω ) + L q ( ) ( Ω ) = inf { g L p ( ) ( Ω ) + h L q ( ) ( Ω ) : f = g + h , g L p ( ) ( Ω ) , h L q ( ) ( Ω ) } .

3. Properties

In this section, we will use a method to show that ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) is a Banach space either Ω is bounded or unbounded.

Proposition 8.

Let Ω be a set such that d Ω , given q ( ) P ( Ω ) , p ( ) P ( d ) and f L l o c q ( ) ( Ω ) .

1) Then ( L q ( ) , l p ( ) ) ( Ω ) is a vector space and

f 1 q ( ) , p ( ) , Ω < f < .

2) The function f f 1 q ( ) , p ( ) , Ω defines a norm on ( L q ( ) , l p ( ) ) ( Ω ) .

Proof.

1) 0 ( L q ( ) , l p ( ) ) ( Ω ) L l o c q ( ) ( Ω ) which is a vector space, then it will suffice to show that for all α , β not both 0; and f , g ( L q ( ) , l p ( ) ) ( Ω ) :

α f + β g ( L q ( ) , l p ( ) ) ( Ω )

From triangle inequality of L q ( ) ( Ω ) , we have:

( α f + β g ) χ I k 1 L q ( ) ( Ω ) ( α f ) χ I k 1 L q ( ) ( Ω ) + ( β g ) χ I k 1 L q ( ) ( Ω )

l p ( ) ( d ) is order preserving, then:

{ ( α f + β g ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) { ( α f ) χ I k 1 L q ( ) ( Ω ) + ( β g ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) .

From triangle inequality of l p ( ) ( d ) :

{ ( α f + β g ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) { ( α f ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) + { ( β g ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) .

From the homogeneity of L q ( ) ( Ω ) and l p ( ) ( d ) , we have:

{ ( α f + β g ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) | α | { f χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) + | β | { g χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( ℤ d )

that is

α f + β g 1 q ( ) , p ( ) , Ω | α | 1 f q ( ) , p ( ) , Ω + | β | 1 g q ( ) , p ( ) , Ω (28)

It is obvious that f 1 q ( ) , p ( ) , Ω < f < .

2) Let f ( L q ( ) , l p ( ) ) ( Ω ) .

It is easy to see that:

f 1 q ( ) , p ( ) , Ω 0 , let f 1 q ( ) , p ( ) , Ω = 0 .

f 1 q ( ) , p ( ) , Ω = 0 { f χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) = 0

{ f χ I k 1 L q ( ) ( Ω ) } k d = { 0 } k d

f χ I k 1 L q ( ) ( Ω ) = 0, k d

f χ I k 1 = 0, k d

f = 0

Homogeneity of 1 q ( ) , p ( ) , Ω :

Let f ( L q ( ) , l p ( ) ) ( Ω ) , and α , by homogeneity of L q ( ) ( Ω ) and l p ( ) ( d ) , we have:

α f 1 q ( ) , p ( ) , Ω = { ( α f ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) = | α | { ( f ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) = | α | { ( f ) χ I k 1 L q ( ) ( Ω ) } k d l p ( ) ( d ) = | α | × f 1 q ( ) , p ( ) , Ω .

Triangle inequality of 1 q ( ) , p ( ) , Ω :

In (28), if we take α = β = 1 , we will get:

f + g 1 q ( ) , p ( ) , Ω f 1 q ( ) , p ( ) , Ω + g 1 q ( ) , p ( ) , Ω .

¨

We will need the following lemmas.

Lemma 9. [28]

Let ( X , A , μ ) be a measure space such that μ ( X ) < .

Then, L q ( X , A , μ ) L p ( X , A , μ ) that is f p C ( q , p ) × f q for any 1 p q .

Where

C ( q , p ) = { [ μ ( X ) ] 1 p 1 q if q < [ μ ( X ) ] 1 p if q =

Lemma 10. (Monotone Convergence)

Let Ω be a set such that d Ω , given q ( ) P ( Ω ) , p ( ) P ( d ) and f L l o c q ( ) ( Ω ) .

If { f [ n ] } n 1 ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) is a sequence of non negative functions such that f [ n ] increases to a function f pointwise always everywhere (a.e.).

Then:

either f ( L q ( ) , l p ( ) ) ( Ω ) and

f [ n ] 1 q ( ) , p ( ) , Ω f 1 q ( ) , p ( ) , Ω

or

f ( L q ( ) , l p ( ) ) ( Ω ) and f [ n ] 1 q ( ) , p ( ) , Ω = f 1 q ( ) , p ( ) , Ω .

Proof.

First:

ρ L q ( ) ( Ω ) ( f ) = Ω \ Ω q ( ) | f ( x ) | q ( x ) d x + f L ( Ω q ( ) ) = Ω \ Ω | f ( x ) | q ( x ) d x + f L ( Ω ) .

Let’s decompose f as:

f = f 1 + f 2 (29)

where f 1 = f χ { x Ω : | f ( x ) | < 1 } , f 2 = f χ { x Ω : | f ( x ) | 1 } .

Therefore,

ρ L q ( ) ( Ω ) ( f ) Ω \ Ω ( | f 1 ( x ) | + | f 2 ( x ) | ) q ( x ) d x + | f 1 | + | f 2 | L ( Ω ) .

We have that:

q ( ) P ( Ω ) : 1 q q ( x ) q + ,

in other hand, for any non negative real numbers a , b :

( a + b ) q ( x ) 2 q ( x ) 1 ( a q ( x ) + b q ( x ) ) 2 q + 1 ( a q ( x ) + b q ( x ) ) .

Then,

ρ L q ( ) ( Ω ) ( f ) 2 q + 1 Ω \ Ω ( | f 1 ( x ) | q ( x ) + | f 2 ( x ) | q ( x ) ) d x + | f 1 | + | f 2 | L ( Ω ) 2 q + 1 Ω \ Ω ( | f 1 ( x ) | q + | f 2 ( x ) | q + ) d x + | f 1 | + | f 2 | L ( Ω ) 2 q + 1 Ω \ Ω ( | f 1 ( x ) | q ) d x + f 1 L ( Ω ) + 2 q + 1 Ω \ Ω ( | f 2 ( x ) | q + ) d x + f 2 L ( Ω ) [ 2 q + 1 ( f 1 χ Ω \ Ω ) q 1 + f 1 L ( Ω ) ] + [ 2 q + 1 ( f 2 χ Ω \ Ω ) q + 1 + f 2 L ( Ω ) ] [ 2 q + 1 ( f 1 χ Ω \ Ω ) q q + f 1 L ( Ω ) ] + [ 2 q + 1 ( f 2 χ Ω \ Ω ) q + q + + f 2 L ( Ω ) ] .

Therefore, for any f L l o c q ( ) ( Ω ) , we can decompose it as f = f 1 + f 2 such that:

ρ q ( ) ( f ) [ C ( q ( ) ) ( f 1 χ Ω \ Ω ) q q + f 1 L ( Ω ) ] + [ C ( q ( ) ) ( f 2 χ Ω \ Ω ) q + q + + f 2 L ( Ω ) ]

that is:

ρ q ( ) ( f ) [ C ( q ( ) ) f 1 L q ( Ω \ Ω ) q + f 1 L ( Ω ) ] + [ C ( q ( ) ) f 2 L q + ( Ω \ Ω ) q + + f 2 L ( Ω ) ] (30)

where C ( q ( ) ) = 2 q + 1 .

Now, we begin the proof:

f [ n ] increases to the function f a.e. (by hypothesis), we can estimate f f [ n ] 1 q ( ) , p ( ) , Ω , for any k d and 0 < r < :

f f [ n ] 1 q ( ) , p ( ) , Ω = { ( f f [ n ] ) χ I k r L q ( ) ( Ω ) } k d l p ( ) ( d ) (31)

( f f [ n ] ) χ I k r L q ( ) ( Ω ) = inf { λ > 0 : ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) 1 } . (32)

To estimate ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) , we use (29) and (31), to get:

f = f 1 + f 2 and f [ n ] = f 1 [ n ] + f 2 [ n ]

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) [ C ( q ( ) ) × ( f 1 f 1 [ n ] ) χ I k 1 λ L q ( Ω \ Ω ) q + ( f 1 f 1 [ n ] ) χ I k 1 λ L ( Ω ) ] + [ C ( q ( ) ) × ( f 2 f 2 [ n ] ) χ I k 1 λ L q + ( Ω \ Ω ) q + + ( f 2 f 2 [ n ] ) χ I k 1 λ L ( Ω ) ] [ C ( q ( ) ) × λ q ( f 1 f 1 [ n ] ) χ I k 1 L q ( Ω \ Ω ) q + λ 1 ( f 1 f 1 [ n ] ) χ I k 1 L ( Ω ) ] + [ C ( q ( ) ) × λ q + ( f 2 f 2 [ n ] ) χ I k 1 L q + ( Ω \ Ω ) q + + λ 1 ( f 2 f 2 [ n ] ) χ I k 1 L ( Ω ) ]

that is

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) [ C ( q ( ) ) × λ q ( f 1 f 1 [ n ] ) χ I k 1 L q ( Ω \ Ω ) q + λ 1 ( f 1 f 1 [ n ] ) χ I k 1 L ( Ω ) ] + [ C ( q ( ) ) × λ q + ( f 2 f 2 [ n ] ) χ I k 1 L q + ( Ω \ Ω ) q + + λ 1 ( f 2 f 2 [ n ] ) χ I k 1 L ( Ω ) ] .

Now, if we use Lemma 9, since

1 q q + and I k 1 Ω , we get:

( f 1 f 1 [ n ] ) χ I k 1 L q ( Ω \ Ω ) ( f 1 f 1 [ n ] ) χ I k 1 L q ( Ω ) = f 1 f 1 [ n ] L q ( I k 1 ) [ | I k 1 | ] 1 q × f 1 f 1 [ n ] L + ( I k 1 ) .

But | I k 1 | = 1 , therefore

( f 1 f 1 [ n ] ) χ I k 1 L q ( Ω \ Ω ) f 1 f 1 [ n ] L ( I k 1 ) (33)

by the same way, we also have that:

( f 2 f 2 [ n ] ) χ I k 1 L q + ( Ω \ Ω ) f 2 f 2 [ n ] L + ( I k 1 ) (34)

Substituting (33) and (34) in ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) , we get:

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) [ C ( q ( ) ) × λ q f 1 f 1 [ n ] L ( I k 1 ) q + λ 1 ( f 1 f 1 [ n ] ) χ I k 1 L ( Ω ) ] + [ C ( q ( ) ) × λ q + f 2 f 2 [ n ] L ( I k 1 ) q + + λ 1 ( f 2 f 2 [ n ] ) χ I k 1 L ( Ω ) ] .

Thus,

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) [ C ( q ( ) ) × λ q f 1 f 1 [ n ] L ( I k 1 ) q + λ 1 f 1 f 1 [ n ] L ( I k 1 Ω ) ] + [ C ( q ( ) ) × λ q + f 2 f 2 [ n ] L ( I k 1 ) q + + λ 1 f 2 f 2 [ n ] L ( I k 1 Ω ) ]

this implies that:

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) [ C ( q ( ) ) × λ q f 1 f 1 [ n ] L ( I k 1 ) q + λ 1 f 1 f 1 [ n ] L ( I k 1 ) ] + [ C ( q ( ) ) × λ q + f 2 f 2 [ n ] L ( I k 1 ) q + + λ 1 f 2 f 2 [ n ] L ( I k 1 ) ]

f [ n ] increases to a function f pointwise, a.e., then f [ n ] f for any n, since 0 ( f f [ n ] ) = ( f 1 f 1 [ n ] ) + ( f 2 f 2 [ n ] ) , we have:

0 ( f f [ n ] ) χ I k 1 ( y ) = ( f 1 f 1 [ n ] ) χ I k 1 ( y ) + ( f 2 f 2 [ n ] ) χ I k 1 ( y ) | f χ I k 1 f [ n ] χ I k 1 | ( y )

that is:

0 ( f 1 f 1 [ n ] ) χ I k 1 ( y ) + ( f 2 f 2 [ n ] ) χ I k 1 ( y ) | ( f f [ n ] ) χ I k 1 | ( y ) (35)

f [ n ] converges pointwise to f always everywhere i.e.

y Ω : lim n ( f ( y ) f [ n ] ( y ) ) = 0 , therefore

for any y Ω , if n is sufficiently large, (35) gives:

0 ( f 1 f 1 [ n ] ) χ I k 1 ( y ) + ( f 2 f 2 [ n ] ) χ I k 1 ( y ) | ( f f [ n ] ) χ I k 1 | ( y ) 0

which implies for n sufficiently large:

{ ( f 1 f 1 [ n ] ) χ I k 1 ( y ) 0 ( f 2 f 2 [ n ] ) χ I k 1 ( y ) 0 , then { f 1 f 1 [ n ] L ( I k 1 ) 0 L ( I k 1 ) = 0 f 2 f 2 [ n ] L ( I k 1 ) 0 L ( I k 1 ) = 0

therefore:

ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) 0 as n 0

If we replace ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) by its value in (32), we get:

( f f [ n ] ) χ I k r L q ( ) ( Ω ) 0 as n .

Replacing ( f f [ n ] ) χ I k r L q ( ) ( Ω ) by its value in (31), we will find:

f f n 1 q ( ) , p ( ) , Ω 0 as n ,

therefore

0 | f [ n ] 1 q ( ) , p ( ) , Ω f 1 q ( ) , p ( ) , Ω | f f [ n ] 1 q ( ) , p ( ) , Ω 0 as n 0

¨

Remark 11.

In the calculation of ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) (in the above proof), we allow the possibility ρ L q ( ) ( Ω ) ( ( f f [ n ] ) χ I k 1 λ ) = , it is the case when f ( L q ( ) , l p ( ) ) ( Ω ) or q + = ( C ( q ( ) ) = 2 q + 1 = ) then f n 1 q ( ) , p ( ) = f 1 q ( ) , p ( ) , Ω .

Remark 12.

If f ( L q ( ) , l p ( ) ) ( Ω ) , we have defined f 1 q ( ) , p ( ) , Ω = , so in every case, we may write f n 1 q ( ) , p ( ) , Ω f 1 q ( ) , p ( ) , Ω .

Lemma 13. (Lemma of Fatou)

Let Ω be a set such that d Ω , given q ( ) P ( Ω ) , p ( ) P ( d ) and f L l o c q ( ) ( Ω ) .

If ( f n ) n ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) is a sequence of non negative functions such that f n f pointwise a.e.

If lim inf n f n 1 q ( ) , p ( ) , Ω < .

Then, f ( L q ( ) , l p ( ) ) ( Ω ) and f 1 q ( ) , p ( ) , Ω lim inf n + f n 1 q ( ) , p ( ) , Ω .

Proof.

Define a sequence g n ( x ) = inf m n | f m ( x ) | , x Ω .

Then, for all m n , g n ( x ) | f m ( x ) | and so g n ( L q ( ) , l p ( ) ) ( Ω ) . By definition, ( g n ) n is an increasing sequence and lim n g n ( x ) = lim n inf m n | f m ( x ) | = lim inf m | f m ( x ) | = | f ( x ) | a.e x Ω .

Therefore, by monotone convergence lemma: f 1 q ( ) , p ( ) , Ω = lim n + g n 1 q ( ) , p ( ) , Ω lim n + ( inf m n f m 1 q ( ) , p ( ) , Ω ) = lim inf n f n 1 q ( ) , p ( ) , Ω < , therefore f ( L q ( ) , l p ( ) ) ( Ω ) .

¨

Lemma 14. (Lemma of Riesz-Fischer)

Let Ω be a set such that d Ω , given q ( ) P ( Ω ) , p ( ) P ( d ) and f L l o c q ( ) ( Ω ) .

If ( f n ) n ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) is a sequence such that:

n = 1 f n 1 q ( ) , p ( ) , Ω < .

Then, there exists f ( L q ( ) , l p ( ) ) ( Ω ) such that: F i = n = 1 i f n f in norm as i and f 1 q ( ) , p ( ) , Ω n = 1 f n 1 q ( ) , p ( ) , Ω .

Proof.

Define the function F on Ω by:

F ( x ) = n = 1 | f n ( x ) | and define the sequence ( F i ) i by: F i ( x ) = n = 1 i | f n ( x ) | .

The sequence ( F i ) i is non-negative and increases pointwise almost everywhere to F. Further, for each i, F i ( L q ( ) , l p ( ) ) ( Ω ) and its norm is uniformly bounded, since F i 1 q ( ) , p ( ) , Ω n = 1 i f n 1 q ( ) , p ( ) , Ω n = 1 f n 1 q ( ) , p ( ) , Ω < by hypothesis

By the monotone convergence theorem F ( L q ( ) , l p ( ) ) ( Ω ) . In particular from Proposition 8-1) F is finite a.e.

Hence, if we define the sequence ( G i ) i by G i ( x ) = n = 1 i f n ( x ) .

Then, this sequence also converges pointwise almost everywhere since absolute convergence implies convergence. Denote its sum by f ( G i = k = 1 i f k f as i ).

Let G 0 = 0 , then for any j 0 , G i G j f G j pointwise almost everywhere.

Furthermore, lim inf i G i G j 1 q ( ) , p ( ) , Ω lim inf i n = j + 1 i f n 1 q ( ) , p ( ) , Ω = n = j + 1 f n 1 q ( ) , p ( ) , Ω < . By Fatou’s lemma, if we take j = 0 then:

f 1 q ( ) , p ( ) , Ω lim inf i + G i 1 q ( ) , p ( ) , Ω n = 1 f n 1 q ( ) , p ( ) , Ω <

More generally, for each j, the same argument shows that:

f G j 1 q ( ) , p ( ) , Ω lim inf i G i G j 1 q ( ) , p ( ) , Ω n = j + 1 f n 1 q ( ) , p ( ) , Ω .

Since the sum in the right-hand side tends to zero, we see that G j f in norm, which completes the norm.¨

Proposition 15.

Let Ω be a set such that d Ω , given q ( ) P ( Ω ) , p ( ) P ( d ) .

( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) ) is a Banach space

Proof.

It is sufficient to show that every Cauchy sequence in ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) converges in norm.

Let ( f n ) ( ( L q ( ) , l p ( ) ) ( Ω ) , 1 q ( ) , p ( ) , Ω ) be a Cauchy sequence.

Choose n 1 such that: f i f j 1 q ( ) , p ( ) , Ω < 2 1 for i , j n 1

Choose n 2 > n 1 such that: f i f j 1 q ( ) , p ( ) , Ω < 2 2 for i , j n 2

and so on...

This construction yields a subsequence ( f n j ) j , n j + 1 n j such that:

f n j + 1 f n j 1 q ( ) , p ( ) , Ω < 2 j

Define a new sequence ( g j ) j by:

{ g 1 = f n 1 g j = f n j f n j 1 if j > 1

Then, for all j, we get the sum:

i = 1 j g i = f n j .

Further, we have that:

j = 1 g j 1 q ( ) , p ( ) , Ω f n 1 1 q ( ) , p ( ) , Ω + j = 1 2 j < .

Therefore, by the Riesz-Fischer lemma, there exists f ( L q ( ) , l p ( ) ) ( Ω ) such that:

f n j f in norm.

Finally, by the triangle inequality, we have that:

f f n 1 q ( ) , p ( ) , Ω f f n j 1 q ( ) , p ( ) , Ω + f n j f n 1 q ( ) , p ( ) , Ω

Since ( f n ) n is a Cauchy sequence, for n sufficiently large we can choose n j to make the right-hand side as small as desired.

Hence, f n f in norm.

¨

We will need the following lemma.

Lemma 16. [27]

Given q ( ) , q 1 ( ) , q 2 ( ) P ( Ω ) .

1) f q 1 ( ) K f q 2 ( ) { q 1 ( x ) q 2 ( x ) a . e . x Ω { x Ω : q 1 ( x ) < q 2 ( x ) } λ q 2 ( x ) × q 1 ( x ) q 2 ( x ) q 1 ( x ) d x < for some λ > 1

In particular, if Ω is bounded set:

q 1 ( x ) q 2 ( x ) a . e . x Ω | Ω \ Ω q 1 ( ) | < } f q 1 ( ) ( 1 + | Ω \ Ω q 1 ( ) | ) f q 2 (   )

2) f q ( ) f L ( Ω ) L q ( ) 1 L q ( ) Ω \ Ω q ( ) λ q ( x ) d x < for some λ > 0 .

In particular, the embedding holds if | Ω | < .

Proposition 17.

Let Ω be a set such that d Ω , given q ( ) , q 1 ( ) , q 2 ( ) P ( Ω ) , p ( ) , p 1 ( ) , p 2 ( ) P ( d ) and f L l o c q ( ) ( Ω ) .

1)

If max { 1 q , 1 p } s < , | Ω q ( ) | = 0 and f ( L q ( ) , l p ( ) ) ( Ω ) , then | f | s 1 q ( ) , p ( ) , Ω = f 1 s q ( ) , s p ( ) , Ω s

2)

•) Let f ( L q 2 ( ) , l p ( ) ) ( Ω ) .

If q 1 ( ) q 2 ( ) on Ω, then f ( L q ( ) , l p 1 ( ) ) ( Ω ) and f q 1 ( ) , p ( ) , Ω K q 1 ( ) , q 2 ( ) × f q 2 ( ) , p ( ) , Ω or

( L q 2 ( ) , l p ( ) ) ( Ω ) ( L q 1 ( ) , l p ( ) ) ( Ω ) .

••) In particular, when | Ω \ Ω q 1 ( ) | < , we have:

f q 1 ( ) , p ( ) , Ω ( 1 + | Ω \ Ω q 1 ( ) | ) f q 2 ( ) , p ( ) , Ω ( 1 + | Ω | ) f q 2 ( ) , p ( ) , Ω

3)

•) Let f ( L q ( ) , l p 2 ( ) ) ( Ω ) and p 1 ( ) p 2 ( ) on d .

Then, f ( L q ( ) , l p 1 ( ) ) ( Ω ) and f 1 q ( ) , p 2 ( ) , Ω C × f 1 q ( ) , p 1 ( ) , Ω or

( L q ( ) , l p 1 ( ) ) ( Ω ) ( L q ( ) , l p 2 ( ) ) ( Ω ) .

••) In particular when | Ω | < , we have:

f q ( ) , p ( ) , Ω ( 1 + | Ω | ) f q + , p , Ω

4)

If { q ( ) = q = constant real p ( ) = p = constant real

both in [ 1, ] then ( L q ( ) , l p ( ) ) ( Ω ) = ( L q , l p ) ( Ω ) with constant exponents.

( L q , l p ) ( Ω ) with constant exponents have been widely studied by many researchers (see [1] [15] [16] [17] [18] ).

5)

If | Ω | < . Then, there exist positive constant reals c , C such that:

c × f 1 q , p + , Ω f 1 q ( ) , p ( ) , Ω C × f 1 q + , p , Ω

otherwise,

( L q + , l p ) ( Ω ) ( L q ( ) , l p ( ) ) ( Ω ) ( L q , l p + ) ( Ω ) .

6)

If

1 q 1 ( ) + 1 q 2 ( ) = 1 q ( ) 1 1 p 1 ( ) + 1 p 2 ( ) = 1 p ( ) 1 ( f , g ) ( L q 1 ( ) , l p 1 ( ) ) ( Ω ) × ( L q 2 ( ) , l p 2 ( ) ) ( Ω ) }

Then,

{ f g ( L q ( ) , l p ( ) ) ( Ω ) f g 1 q ( ) , p ( ) , Ω C × f 1 q 1 ( ) , p 1 ( ) , Ω × g 1 q 2 ( ) , p 2 ( ) , Ω

7)

Let f ( L q ( ) , l p ( ) ) ( Ω ) .

Then,

f 1 q + + q , p ( ) , Ω C ( p ( ) ) [ f 1 1 q + , p ( ) , Ω + f 2 1 q , p ( ) , Ω ] 2 × f 1 q ( ) , p ( ) , Ω

with f 1 ( L q + , l p ( ) ) ( Ω ) and f 2 ( L q , l p ( ) ) ( Ω ) ,

otherwise,

( L q ( ) , l p ( ) ) ( Ω ) ( L q + , l p ( ) ) ( Ω ) + ( L q , l p ( ) ) ( Ω ) ( L q + + q , l p ( ) ) ( Ω ) .

8)

For any r > 0 , the norms 1 q ( ) , p ( ) and r q ( ) , p ( ) are equivalent.

Proof.

1) Under the hypotheses of 1), we know that | f | s L q ( ) ( Ω ) = f L s q ( ) ( Ω ) s :

f ( L q ( ) , l p ( ) ) ( Ω ) f χ I k 1 L q ( ) ( Ω ) < , k d

Combining these two results, we will get:

| f χ I k 1 | s L q ( ) ( Ω ) = f χ I k 1 L s q ( ) ( Ω ) s { | f χ I k 1 | s L q ( ) ( Ω ) } k d l p ( ) ( d ) = { f χ I k 1 L s q ( ) ( Ω ) s } k d l p ( ) ( d ) , using properties 4-2), we get:

{ | f χ I k 1 | s L q ( ) ( Ω ) } k d l p ( ) ( d ) = { f χ I k 1 L s q ( ) ( Ω ) } l s p ( ) ( d ) s , therefore

{ | f χ I k 1 | s L q ( ) ( Ω ) } k d l p ( ) ( d ) = ( { f χ I k 1 L s q ( ) ( Ω ) } k d l s p ( ) ( d ) ) s

that is

| f | s 1 q ( ) , p ( ) , Ω = f 1 s q ( ) , s p ( ) , Ω s

2)

•) q 1 ( ) q 2 ( ) on Ω 1 q 1 ( ) 1 q 2 ( ) on Ω, therefore, there exists q 3 ( ) > 0 on Ω such that 1 q 1 ( ) = 1 q 2 ( ) + 1 q 3 ( ) on Ω, from Holder’s inequality

f χ I k 1 L q 1 ( ) ( Ω ) = f χ I k 1 × χ I k 1 L q 1 ( ) ( Ω ) K × f χ I k 1 L q 2 ( ) ( Ω ) × χ I k 1 L q 3 ( ) ( Ω ) , but | I k 1 | = 1 < , therefore χ I k 1 L q 3 ( ) ( Ω ) | I k 1 | + 1 = 2 (Lemma 2.39 of [27] ), then we get: f χ I k 1 L q 1 ( ) ( Ω ) 2 K × f χ I k 1 L q 2 ( ) ( Ω ) { f χ I k 1 L q 1 ( ) ( Ω ) } k d l p ( ) ( d ) 2 K × { f χ I k 1 L q 2 ( ) ( Ω ) } k d l p ( ) ( d ) ,

that is

f 1 q 1 ( ) , p ( ) , Ω C × f 1 q 2 ( ) , p ( ) , Ω or ( L q 2 ( ) , l p ( ) ) ( Ω ) ( L q 1 ( ) , l p ( ) ) ( Ω ) .

this result generalizes (3).

••) In the particular case, when | Ω \ Ω q 1 ( ) | < , we have:

f χ I k 1 q 1 ( ) ( 1 + | Ω \ Ω q 1 ( ) | ) f χ I k 1 q 2 (   )

then follows the inequality:

f q 1 ( ) , p ( ) , Ω ( 1 + | Ω \ Ω q 1 ( ) | ) × f q 2 ( ) , p ( ) , Ω Ω \ Ω q 1 ( ) Ω ( 1 + | Ω | ) f q 2 ( ) , p ( ) , Ω

3)

•) f ( L q ( ) , l p 2 ( ) ) ( Ω ) f χ I k 1 L q ( ) ( Ω ) < . Under the hypotheses of 3), since p 1 ( ) p 2 ( ) on d , we have from (17):

{ f χ I k 1 L q ( ) ( Ω ) } k d l p 2 ( ) ( d ) { f χ I k 1 L q ( ) ( Ω ) } k d l p 1 ( ) ( Ω ) ,

that is

f 1 q ( ) , p 2 ( ) , Ω f 1 q ( ) , p 1 ( ) , Ω or ( L q ( ) , l p 1 ( ) ) ( Ω ) ( L q ( ) , l p 2 ( ) ) ( Ω ) .

This result generalizes (2)

••)

{ q ( ) q + p ( ) p Ω Ω | Ω \ Ω | | Ω | < ,

if we apply 2) ••) and3) •), we get:

f q ( ) , p ( ) , Ω ( 1 + | Ω \ Ω | ) × f q + , p , Ω ( 1 + | Ω | ) × f q + , p , Ω

4)

We know that:

f r q ( ) , p ( ) , Ω = { f χ I k r L q ( ) ( Ω ) } k d l p ( ) ( d ) .

If p ( ) = p = constant [ 1, ] , then from (5) this last equality becomes:

f r q ( ) , p ( ) , Ω = { [ k d f χ I k r q ( ) p ] 1 p if p < sup k d f χ I k r q ( ) if p = .

Suppose that both q ( ) = q and p ( ) = p are constants belonging to [ 1, ] , the last equality gives: f r q ( ) , p ( ) , Ω = { [ k d f χ I k r q p ] 1 p if p < sup k d f χ I k r q if p = = f r q , p , Ω , see (1).

We conclude that our space ( L q ( ) , l p ( ) ) ( Ω ) generalizes both: ( L q ( ) , l ) ( Ω ) studied in [19] [20] [21] ; and ( L q , l p ) ( Ω ) in [16] [17] [18] .

5)

We have { q q ( ) q + p p ( ) p + , we will use 2) and 3) to get:

f 1 q , p + , Ω K × f 1 q ( ) , p ( ) , Ω K × C × f 1 q + , p , Ω

or c × f 1 q , p + , Ω f 1 q ( ) , p ( ) , Ω C × f 1 q + , p , Ω

otherwise,

( L q + , l p ) ( Ω ) ( L q ( ) , l p ( ) ) ( Ω ) ( L q , l p + ) ( Ω )

6)

( f , g ) ( L q 1 ( ) , l p 1 ( ) ) ( Ω ) × ( L q 2 ( ) , l p 2 ( ) ) ( Ω ) , from Holder’s inequality:

( f g ) χ I k 1 L q ( ) ( Ω ) C × f χ I k 1 L q 1 ( ) ( Ω ) × g χ I k 1 L q 2 ( ) ( Ω ) , k d (36)

Case 1: p 1 ( ) = p 2 ( ) =

This implies that p ( ) = .

l p ( ) ( d ) ( 1 p ( ) ) is order preserving, therefore the last inequality (36) implies that:

{ ( f g ) χ I k 1 L q ( ) ( Ω ) } k d l ( d ) C × { f χ I k 1 L q 1 ( ) ( Ω ) } k d × { g χ I k 1 L q 2 ( ) ( Ω ) } k d l ( ℤ d )

now we apply (21) with p ( ) = q ( ) = r ( ) = to get:

{ ( f g ) χ I k 1 L q ( )

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

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