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.

Share and Cite:

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

where for r > 0

‖ f ‖ r q , p = { [ ∑ k ∈ ℤ d ‖ f χ I k r ‖ q p ] 1 p if   p < ∞ sup k ∈ ℤ 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 ∈ ℤ d .

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

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

Let 1 ≤ p , q ≤ ∞ . Amalgam spaces ( L q , l p ) ( ℝ 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 ) ( ℝ 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 ) ( ℝ 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 ) ( ℝ 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 ) ( ℝ 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 ( ℝ 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 ) ( ℝ d ) with constant exponents

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

〈 T , f 〉 = ∫ ℝ d     f ( x ) φ ( T ) ( x ) d x ,   f ∈ ( L q , l p ) ( ℝ d ) and furthermore

‖ φ ( T ) ‖ 1 q ′ , p ′ = ‖ T ‖ .

We recall that ‖ T ‖ : = sup { | 〈 T , f 〉 | : f ∈ L l o c q ( ℝ 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 { ∫ ℝ 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 ( ℝ d ) , r > 0 and J x r = ∏ j = 1 d ] x j − r 2 , x j + r 2 [ , x = ( x j ) 1 ≤ j ≤ d ∈ ℝ 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 ∈ ℤ ,

‖ ( x k ) k ∈ ℤ ‖ l p = { [ ∑ k ∈ ℤ | x k | p ] 1 p       if     p < ∞ sup k ∈ ℤ | x k |                       if     p = ∞ (5)

b)

l p = { ( x k ) k ∈ ℤ ∈ ℝ ℤ : ‖ ( x ) k ∈ ℤ ‖ l p < ∞ } (6)

c) c 0 = { ( x k ) k ∈ ℤ ∈ 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 ∈ ℤ ↦ ‖ ( x k ) k ∈ ℤ ‖ 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 ∈ ℤ ‖ l r ≤ ‖ ( x k ) k ∈ ℤ ‖ l p ‖ ( y k ) k ∈ ℤ ‖ 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 ∈ ℤ , ( y k ) k ∈ ℤ 〉 = ∑ k ∈ ℤ     x k y k ,   ( x k ) k ∈ ℤ ∈ l p ′ ,   ( y k ) k ∈ ℤ ∈ 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 ∈ ℤ ∈ ℝ ℤ :

1 ≤ p ≤ p ˜ ≤ ∞ ⇒ ‖ ( x k ) k ∈ ℤ ‖ l p ˜ ≤ ‖ ( x k ) k ∈ ℤ ‖ 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 → ℝ 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 ) → ℝ 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 ℝ d , for any subset E of ℝ d the d-dimensional euclidean space ℝ d is equipped with its Lebesgue measure E ↦ | E | and χ E will be the characteristic function of E, for any x ∈ ℝ 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 ℝ 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 → ℝ 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 ∈ ℝ 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 ∈ ℝ 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 ∈ ℝ , β ∈ ℝ \ { 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 ∈ ( ℝ ) I : inf { λ > 0 : ∑ k ∈ I ( | a k | λ ) p ( k ) ≤ 1 } < ∞ } ⊂ l p ˜ (   ) ( I ) = { { a k } k ∈ I ∈ ( ℝ ) 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 ∈ ( ℝ ) I : inf { λ > 0 : ∑ k ∈ I ( | a k | λ ) p ( k ) ≤ 1 } < ∞ } ,

l p ˜ (   ) ( I ) = { { a k } k ∈ I ∈ ( ℝ ) 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 ∈ ℂ I such that

N p ′ (   ) ( b ) = sup { | ∑ i ∈ I     a i b i | : a = { a i } i ∈ I ∈ ℂ 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 = ℤ , A = { X : X ⊂ E } = 2 X the power of the set X, μ is defined as: ∀ k ∈ ℤ : 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 ∈ ℤ d .

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

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

where

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

{ ‖ f χ I k r ‖ q (   ) } k ∈ ℤ d is real sequence indexed by a countable set ℤ 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 ∈ ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ 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 (   ) ( ℤ d ) = { { a k } k ∈ I ∈ ( ℝ ) ℤ d : ‖ { a k } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) < ∞ }

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

ρ l p (   ) ( ℤ d ) ( { a k } k ∈ ℤ d ) = ∑ k ∈ ℤ d \ ( ℤ d ) ∞ p (   ) | a k | p ( k ) + sup k ∈ ( ℤ d ) ∞ p (   ) | a k |

Definition 7.

Let Ω be a set such that ℤ d ⊂ Ω , for any q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ∈ ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ d ) = ‖ { F ( k , r ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) (24)

where

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

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

‖ f ‖ 1 q (   ) , p (   ) , Ω = ‖ { F ( k , 1 ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) = ‖ { ‖ f χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ 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 (   ) , ℝ d ,   ( L q (   ) , l p (   ) ) ( ℝ 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 ∈ ℤ d ‖ l p (   ) ( ℤ 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 ∈ ℤ d and determine:

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

where

ρ l p (   ) ( ℤ d ) ( { β ( k , r ) } k ∈ ℤ d λ ) = ∑ k ∈ ℤ d \ ( ℤ d ) ∞ p (   ) ( | β ( k , r ) | λ ) p ( k ) + ‖ { | β ( k , r ) | λ } k ∈ ℤ d ‖ L + ∞ ( ( ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ 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 ℤ d ⊂ Ω , given q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ∈ ℝ 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 (   ) ( ℤ d ) is order preserving, then:

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

From triangle inequality of ‖   ⋅   ‖ l p (   ) ( ℤ d ) :

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

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

‖ { ‖ ( α f + β g ) χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) ≤ | α | ‖ { ‖ f χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) + | β | ‖ { ‖ g χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ d ) = 0

⇒ { ‖ f χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d = { 0 } k ∈ ℤ d

⇒ ‖ f χ I k 1 ‖ L q (   ) ( Ω ) = 0,       k ∈ ℤ d

⇒ f χ I k 1 = 0,     k ∈ ℤ d

⇒ f = 0

Homogeneity of ‖   ⋅   ‖ 1 q (   ) , p (   ) , Ω :

Let f ∈ ( L q (   ) , l p (   ) ) ( Ω ) , and α ∈ ℝ , by homogeneity of ‖   ⋅   ‖ L q (   ) ( Ω ) and ‖   ⋅   ‖ l p (   ) ( ℤ d ) , we have:

‖ α f ‖ 1 q (   ) , p (   ) , Ω = ‖ { ‖ ( α f ) χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) = ‖ | α | { ‖ ( f ) χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) = | α | ‖ { ‖ ( f ) χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ 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 ℤ d ⊂ Ω , given q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ∈ ℤ d and 0 < r < ∞ :

‖ f − f [ n ] ‖ 1 q (   ) , p (   ) , Ω = ‖ { ‖ ( f − f [ n ] ) χ I k r ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ 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 ℤ d ⊂ Ω , given q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ℤ d ⊂ Ω , given q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ℤ d ⊂ Ω , given q (   ) ∈ P ( Ω ) , p (   ) ∈ P ( ℤ 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 ℤ d ⊂ Ω , given q (   ) , q 1 (   ) , q 2 (   ) ∈ P ( Ω ) , p (   ) , p 1 (   ) , p 2 (   ) ∈ P ( ℤ 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 ℤ 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 ∈ ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ d ) = ‖ { ‖ f χ I k 1 ‖ L s q (   ) ( Ω ) s } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) , using properties 4-2), we get:

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

‖ { ‖ | f χ I k 1 | s ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ d ) = ( ‖ { ‖ f χ I k 1 ‖ L s q (   ) ( Ω ) } k ∈ ℤ d ‖ l s p (   ) ( ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ d ) ≤ 2 K × ‖ { ‖ f χ I k 1 ‖ L q 2 (   ) ( Ω ) } k ∈ ℤ d ‖ l p (   ) ( ℤ 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 ℤ d , we have from (17):

‖ { ‖ f χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l p 2 (   ) ( ℤ d ) ≤ ‖ { ‖ f χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ 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 ∈ ℤ d ‖ l p (   ) ( ℤ d ) .

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

‖ f ‖ r q (   ) , p (   ) , Ω = { [ ∑ k ∈ ℤ d ‖ f χ I k r ‖ q (   ) p ] 1 p if   p < ∞ sup k ∈ ℤ 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 ∈ ℤ d ‖ f χ I k r ‖ q p ] 1 p if   p < ∞ sup k ∈ ℤ 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 ∈ ℤ d (36)

Case 1: p 1 (   ) = p 2 (   ) = ∞

This implies that p (   ) = ∞ .

‖   ⋅   ‖ l p (   ) ( ℤ d ) ( 1 ≤ p (   ) ≤ ∞ ) is order preserving, therefore the last inequality (36) implies that:

‖ { ‖ ( f g ) χ I k 1 ‖ L q (   ) ( Ω ) } k ∈ ℤ d ‖ l ∞ ( ℤ d ) ≤ C × ‖ { ‖ f χ I k 1 ‖ L q 1 (   ) ( Ω ) } k ∈ ℤ d × { ‖ g χ I k 1 ‖ L q 2 (   ) ( Ω ) } k ∈ ℤ 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.

References

[1] Orlicz, W. (1931) Über konjugierte Exponentenfolgen. Studia Mathematica, 3, 200-212.
[CrossRef]
[2] Kováčik, O. and Rákosník, J. (1991) On Spaces Lp(x) and Wk,p(x). Czechoslovak Mathematical Journal, 41, 592-618.
[CrossRef]
[3] Diening, L., Hästö, P. and Nekvinda, A. (2004) Open Problems in Variable Exponent Lebesgue and Sobolev Spaces. FSDONA04 Proceedings (Milovy, Czech Republic), 66, 38-58.
[4] Ruzicka, M. (2000) Electrorheological Fluids: Modeling and Mathematical Theory. Springer-Verlag, Berlin.
[CrossRef]
[5] Acerbi, E. and Mingione, G. (2002) Regularity Results for Stationary Electrorheological Fluids. Archive for Rational Mechanics and Analysis, 164, 213-259.
[CrossRef]
[6] Chen, Y., Levine, S. and Rao, M. (2006) Variable Exponent, Linear Growth Functionals in Image Restoration. SIAM Journal on Applied Mathematics, 66, 1383-1406.
[CrossRef]
[7] Acerbi, E. and Mingione, G. (2005) Gradient Estimates for the p(x)-Laplacian System. Journal für die Reine und Angewandte Mathematik, 584, 117-148.
[CrossRef]
[8] Fan, X.L. (2007) Global C1,α Regularity for Variable Exponent Elliptic Equations in Divergence Form. Journal of Differential Equations, 235, 397-417.
[CrossRef]
[9] Feichtinger, H.G. (1980, August) Banach Convolution Algebras of Wiener Type. Functions, Series, Operators, Proceedings of the International Conference in Budapest, 38, 509-524.
[10] Feichtinger, H.G. (1981) Banach Spaces of Distributions of Wiener’s Type and Interpolation. In: Butzer, P.L., Sz.-Nagy, B., Görlich, E., Eds., Functional Analysis and Approximation, Vol. 60, Birkhäuser Basel, Basel, 153-165.
[CrossRef]
[11] Feichtinger, H.G. (1981) A Characterization of Minimal Homogeneous Banach Spaces. Proceedings of the American Mathematical Society, 81, 55-61.
[CrossRef]
[12] Heil, C. (2003) An Introduction to Weighted Wiener Amalgams. In: Krishna, M., Radha, R. and Thangavelu, S., Eds., Wavelets and Their Applications, Allied Publishers, New Delhi, 183-216.
[13] Grochenig, K. (2001) Foundations of Time-Frequency Analysis. Birkhäuser Verlag, Basel.
[14] Wiener, N. (1926) On the Representation of Functions by Trigonometrical Integrals. Mathematische Zeitschrift, 24, 575-616.
[CrossRef]
[15] Holland, F. (1975) Harmonic Analysis on Amalgams of Lp and lq. Journal of the London Mathematical Society, 10, 295-305.
[CrossRef]
[16] Bertrandias, J.-P. and Dupius, C. (1979) Transformation de Fourier sur les espaces lp(Lq'). Annales de L’Institut Fourier, 29, 189-206.
[Google Scholar] [CrossRef]
[17] Fournier, J.J.F. and Stewart, J. (1985) Amalgams of Lp and lq. Bulletin of the AMS, 1, 1-21.
[CrossRef]
[18] Fournier, J.J.F. (1983) On the Hausdorff-Young Theorem for Amalgams. Monatshefte für Mathematik, 95, 117-135.
[CrossRef]
[19] Meski, A. and Zaigum, M.A. (2014) On the Boundedness of Maximal and Potential Operators in Variable Exponent Amalgam Spaces. Journal of Mathematical Inequalities, 8, 123-152.
[CrossRef]
[20] Aydin, I. and Gurkanli, A.T. (2014) On the Weighted Variable Exponent Amalgam W(Lp(x),Lqm)*. Acta Mathematica Scientia, 34B, 1098-1110.
[21] Aydin, I. (2017) On Vector-Valued Classical and Variable Exponent Amalgam Spaces. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 66, 100-114.
[CrossRef]
[22] Feuto, J., Fofana, I. and Koua, K. (2008) Espaces de fonctions a moyenne fractionnaire integrable sur les groupes localement compacts. ArXiv: 0810.1206v1.
[23] Bertrandias, J.P., Datry, C. and Dupuis, C. (1978) Union et intersection d’espaces Lp invariantes par translation ou convolution. Annales de L’Institut Fourier, 28, 53-84.
[CrossRef]
[24] Busby, R.C. and Smith, H.A. (1981) Product-Convolution Operators and Mixed-Norm Spaces. Transactions of the American Mathematical Society, 263, 309-341.
[CrossRef]
[25] Stewart, J. (1979) Fourier Transforms of Unbounded Measures. Canadian Journal of Mathematics, 31, 1281-1292.
[CrossRef]
[26] Coulibaly, S. and Fofana, I. (2019) On Lebesgue Integrability of Fourier Transforms in Amalgam Spaces. Journal of Fourier Analysis and Applications, 25, 184-209.
[CrossRef]
[27] Cruz-Uribe, D. and Fiorenza, A. (2013) Variable Lebesgue Spaces: Foundations and Harmonic Analysis. Springer, Heidelberg.
[CrossRef]
[28] Royden, H.L. (1988) Real Analysis. 3rd Edition, Macmillan Publishing Company, New York.

Copyright © 2026 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.