This paper investigates the properties of totally bounded sets in weighted variable exponent amalgam and Sobolev spaces, providing generalized compactness criteria to enhance understanding of their structure.
Contribution
It introduces new generalized compactness criteria for totally bounded subsets in weighted variable exponent amalgam and Sobolev spaces.
Findings
01
Characterization of totally bounded sets in these spaces
02
Generalized compactness criteria established
03
Enhanced understanding of space structure
Abstract
We study totally bounded subsets in weighted variable exponent amalgam and Sobolev spaces. Moreover, this paper includes several detailed generalized results of some compactness criterions in these spaces.
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Full text
The Kolmogorov-Riesz Theorem and Some Compactness Criterions of
Bounded Subsets in Weighted Variable Exponent Amalgam and Sobolev Spaces
Ismail AYDIN
Sinop University Faculty of Arts and Sciences Department of
Mathematics
We study totally bounded subsets in weighted variable exponent amalgam and
Sobolev spaces. Moreover, this paper includes several detailed generalized
results of some compactness criterions in these spaces.
Key words and phrases:
Weighted variable exponent amalgam and Sobolev spaces,
compactness, totally bounded set
2000 Mathematics Subject Classification:
Primary 46E35, 43A15, 46E30
1. Introduction
Initially, the classical Riesz-Kolmogorov theorem states about the
compactness of subsets in Lp[0,1] for 1<p<∞, see
[22]. This theorem has been generalized to some function spaces, such
as Takahashi [32] for Orlicz spaces, Goes and Welland [11] for Köthe spaces, Musielak [28] for Musielak-Orlicz spaces, Rafeiro
[30] for variable exponent Lebesgue spaces, Bandaliyev [5] for
weighted variable exponent Lebesgue spaces, Górka and Rafeiro [14]
for more general framework, namely in the case of Banach function spaces
(shortly, BF-space) and grand variable variable Lebesgue spaces, Górka
and Macios [12], [13] for classical Lebesgue variable exponent
Lebesgue in metric measure spaces. Weil [33] considered compactness in
Lp- spaces on locally compact groups. Moreover, the compactness
problems for various spaces of differentiable functions on the Euclidean
spaces have been studied by several authors. The classical criterion of
Kolmogorov-Riesz for compactness of subsets of Lp(1≤p<∞) has been extended by Feichtinger [9] to translation
invariant Banach function spaces. More details can be seen [18] and
[29].
The amalgam of Lp and lq on the real line is the space (Lp,lq)(R) (briefly, (Lp,lq)) consisting of functions
which are locally in Lp and have lq behavior at infinity.
Wiener [34] studied several special cases of amalgam spaces including (L1,l2), (L2,l∞), (L∞,l1) and (L1,l∞).
Comprehensive information about amalgam spaces can be found in [10],
[20] and [31]. Recently, there have been many interesting and
important papers appeared in variable exponent amalgam spaces (Lr(.),ℓs) such as Aydin [1], Aydin [3], Aydin
and Gurkanli [4], Gurkanli [16], Gurkanli and Aydin [17],
Hanche-Olsen and Holden [18], Meskhi and Zaighum [27],
Kokilashvili, Meskhi and Zaighum [21] and Kulak and Gurkanli [24]. In 2003, Pandey studied the compactness of bounded subsets in a Wiener
amalgam space W(B,Y) whose local and global components are solid Banach
function spaces and satisfy conditions in [29, Definition 5.1].
In this study, we focus especially on the spaces (Lwp(.),ℓq) on R, and discuss totally bounded subsets in weighted variable exponent amalgam
and Sobolev spaces. Moreover, it is well known that the spaces Lwp(.)
and (Lwp(.),ℓq) are not translation invariant
and the map y⟶Lyf is not continuous for f∈(Lwp(.),ℓq). Also, the Young theorem ∥f∗g∥p(.),w≤∥f∥p(.),w∥g∥1 is not valid for f∈Lwp(.)(Rn) and g∈L1(Rn), see [23]. Hence, our concerned amalgam space (Lwp(.),ℓq) whose local component doesn’t provide
conditions in [29, Definition 5.1]. In this regard, we will propose
some new conditions and criterions for compactness of bounded subsets in
these spaces. In addition, Gurkanli [16] showed that (Lwp(.),ℓq)=Lwp(.) under the some conditions, that
is, the space (Lwp(.),ℓq) is a extension of Lwp(.). Finally, we will obtain that our main theorem provides a
generalization of the corresponding results, such as Bandaliyev [5],
Bandaliyev and Górka [6], Górka and Macios [12],
[13], Górka and Rafeiro [14] and Rafeiro [30].
2. Notations and Preliminaries
In this section, we give some essential definitions, theorems and
compactness criterions about totally bounded subsets in weighted variable
exponent Lebesgue spaces.
Definition 1**.**
Let (X,d) be a metric space and ε>0. A subset K
in X is called a ε-net (or ε-cover) for X if
for every x∈X there is a xε∈K such that d(x,xε)<ε. Moreover, a metric space is called
totally bounded if it admits a finite ε-net.
It is known that a subset of a complete metric space relatively compact
(i.e. its closure is compact) if and only if it is totally bounded, see [35].
Theorem 1**.**
Assume that X is a metric space and K⊂X. Then the following
conditions are equivalent.
(i)
K* is totally bounded (or, precompact) and complete*
2. (ii)
K* is compact.*
Definition 2**.**
Let X and Y be metric spaces. A family \tciFourier of functions from X to Y is said to be equicontinuous if given ε>0 there
exists a number δ>0 such that dY(f(x),f(y))<ε for all f∈\tciFourier and all x,y∈X satisfying dX(x,y)<δ.
The following theorem is quite useful for several compactness results.
Theorem 2**.**
([18])Let X be a metric space. Assume that, for every ε>0, there exists some δ>0, a metric space W, and a mapping Φ:X⟶W so that Φ[X] is totally bounded, and
whenever x,y∈X are such that d(Φ(x),Φ(y))<δ, then d(x,y)<ε. Then X is totally bounded.
Definition 3**.**
([23])For a measurable function p(.):Rn⟶[1,∞) (called the variable exponent
on Rn by the symbol P(Rn)), we put
[TABLE]
The variable exponent Lebesgue spaces Lp(.)(Rn) is defined as the set of all measurable functions f on Rn such that ϱp(.)(λf)<∞ for some λ>0,
equipped with the Luxemburg norm
[TABLE]
where ϱp(.)(f)=Rn∫∣f(x)∣p(x)dx.
If p+<∞, then f∈Lp(.)(Rn) iff ϱp(.)(f)<∞. The set Lp(.)(Rn) is a Banach space with the norm ∥.∥p(.).
Moreover, the norm ∥.∥p(.) coincides with the
usual Lebesgue norm ∥.∥p whenever p(.)=p is a
constant function.
Definition 4**.**
A measurable and locally integrable function w:Rn⟶(0,∞) is called a weight function.
The weighted modular is defined by
[TABLE]
The weighted variable exponent Lebesgue space Lwp(.)(Rn) consists of all measurable functions f on Rn for which ∥f∥Lwp(.)(Rn)=fwp(.)1p(.)<∞. Also, Lwp(.)(Rn) is a uniformly convex Banach space, thus reflexive.
The relations between the modular ϱp(.),w(.) and ∥.∥Lwp(.)(Rn) as follows
[TABLE]
Moreover, if 0<C≤w, then we have Lwp(.)(Rn)↪Lp(.)(Rn), since one easily sees that
Let p(.),q(.)∈P(Rn) such that p(.)1+q(.)1=1. Then for f∈Lwp(.)(Rn) and g∈Lw∗q(.)(Rn), we have fg∈L1(Rn) and
[TABLE]
where w∗=w1−q(.).
Proof.
By the Hölder inequality for variable exponent Lebesgue spaces, we get
[TABLE]
for some C>0. That is the desired result.
The space Lloc1(Rn) consists of all measurable functions f on Rn such that fχK∈L1(Rn) for any compact subset K⊂Rn. It is a topological vector space with the family of seminorms f⟶∥fχK∥L1. A Banach
function space (shortly, BF-space) on Rn is a Banach space (B,∥.∥B) of
measurable functions which is continuously embedded into Lloc1(Rn), briefly B↪Lloc1(Rn), i.e. for any compact subset K⊂Rn there exists some constant CK>0 such that ∥fχK∥L1≤CK∥f∥B for all f∈B.
The dual space of Lwp(.)(Rn) is Lw∗q(.)(Rn), where p(.)1+q(.)1=1 and w∗=w1−q(.),
see [25]. Also, it is known that if X is a BF-space, then the dual
space X∗ consisting of g such that
[TABLE]
is also a BF-space. If using Hölder inequality for variable Lebesgue
spaces, then we have
[TABLE]
and
[TABLE]
for some C>0. Therefore, the norm ∥.∥(Lwp(.)(Rn))∗ is well defined. Moreover, ∥.∥(Lwp(.)(Rn))∗ and ∥.∥Lw∗q(.)(Rn) are equivalent by the similar methods for dual spaces of Lp(.),
see [23]. Therefore, there is a isometric isomorphism between (Lwp(.)(Rn))∗ and Lw∗q(.)(Rn). This yields that (Lwp(.)(Rn))∗=Lw∗q(.)(Rn).
Remark 1**.**
Let K⊂Rn with ∣K∣<∞. Then we have ∥χK∥Lwp(.)(Rn)<∞.
Proof.
Fix λ≥1. Since weight function w is locally integrable
function Rn, then
[TABLE]
where CK=K∫w(x)dx<∞. If we take λ=CK+1>0, then we have ∥χK∥Lwp(.)(Rn)≤CK+1.
Definition 5**.**
For x∈Rn and r>0, we denote an open ball with center x and radius r by B(x,r). For f∈Lloc1(Rn), we denote the (centered) Hardy-Littlewood maximal operator Mf of f by
[TABLE]
where the supremum is taken over all balls B(x,r).
Hästö and Diening defined the class Ap(.) to consist of those
weights w such that
[TABLE]
where ß denotes the set of all balls in Rn, pB=(∣B∣1B∫p(x)1dx)−1 and p(.)1+p∣(.)1=1.
Note that this class is ordinary Muckenhoupt class Ap(.)
if p(.) is a constant function, see [7].
Definition 6**.**
We say that p(.) satisfies the local log-Hölder continuity condition if
[TABLE]
for all x,y∈Rn. If the inequality
[TABLE]
holds for some p∞>1, C>0 and all x∈Rn, then we say that p(.) satisfies the log-Hölder decay condition.
We denote by the symbol Plog(Rn) the class of variable exponents which are log-Hölder continuous,
i.e. which satisfy the local log-Hölder continuity condition and the
log-Hölder decay condition.
Let p(.),q(.)∈Plog(Rn),1<p−≤p+<∞ and 1<q−≤q+<∞. If q(.)≤p(.), then there exists a constant C>0
depending on the characteristics of p(.) and q(.) such that ∥w∥Ap(.)≤C∥w∥Aq(.). This yields that
[TABLE]
for p(.)∈Plog(Rn) and 1<p−≤p(.)≤p+<∞.
Let p(.)∈Plog(Rn) and 1<p−≤p+<∞. Then M:Lwp(.)(Rn)↪Lwp(.)(Rn) if and only if w∈Ap(.), see [7].
We use the notation
[TABLE]
i.e. the maximal operator M is bounded on Lwp(.)(Rn). Hence we can find a sufficient condition for p(.)∈P(Rn).
Proposition 1**.**
([2])Let w be a weight function and 1<p−≤p(.)≤p+<∞. If w−p(.)−11∈Lloc1(Rn), then Lwp(.)(Rn)↪Lloc1(Rn).
Definition 7**.**
Let φ:Rn⟶R be a nonnegative, radial, decreasing function belonging to C0∞(Rn) and having the properties
(i)
φ(x)=0* if ∣x∣≥1,*
2. (ii)
Rn∫φ(x)dx=1.
Let ε>0. If the function φε(x)=ε−nφ(εx) is nonnegative,
belongs to C0∞(Rn), and satisfies
(i)
φε(x)=0* if ∣x∣≥ε and*
2. (ii)
Rn∫φε(x)dx=1,
then φε is called a mollifier and we define the
convolution by
[TABLE]
The following proposition was proved in [8, Proposition 2.7].
Proposition 2**.**
Let φε be a mollifier and f∈Lloc1(Rn). Then
[TABLE]
Proposition 3**.**
([2])Let p(.)∈P(Rn),w∈Ap(.) and f∈Lwp(.)(Rn). Then φε∗f⟶f in Lwp(.)(Rn) as ε⟶0+.
As a direct consequence of Proposition 3 there follows.
Corollary 1**.**
The class C0∞(Rn) denotes continuous functions having continuous derivatives of
all orders with compact support on Rn. Now, let* p(.)∈P(Rn)** and w∈Ap(.). Then C0∞(Rn) is dense in Lwp(.)(Rn).*
Definition 8**.**
Let w={wk} be a sequence of positive numbers. The
weighted variable sequence Lebesgue spaces lpn(w) is defined by
[TABLE]
equipped with the norm
[TABLE]
The following theorem was proved for weighted variable exponent sequence
spaces by [5] and [13]. Also, this theorem for a constant
exponential case was obtained by [18].
Theorem 4**.**
Let \tciFourier⊂lpn(w), p+<∞.
Then the subset \tciFourier is precompact in lpn(w) if and only if
(i)
\tciFourier* is bounded, i.e. ∀x={xk}∈\tciFourier, ∃C>0,k=1∑∞∣xk∣pkwk≤C*
2. (ii)
For every ε>0 there is a K=K(ε)>0 such that for every x={xk} in \tciFourier
[TABLE]
or equivalently
[TABLE]
The following theorem is an extension to the weighted variable exponent
Lebesgue spaces of the classical Riesz-Kolmogorov Theorem, see [5].
Theorem 5**.**
Let p(.)∈Plog(Rn) and 1<p−≤p+<∞. Assume that w is a weight function
and w∈Ap(.). Then \tciFourier⊂Lwp(.)(Rn) is relatively compact if and only if
(i)
\tciFourier* is bounded in Lwp(.)(Rn), i.e. f∈\tciFouriersup∥f∥Lwp(.)(Rn)<∞*
2. (ii)
For every ε>0 there is a γ>0 such
that for all f∈\tciFourier
[TABLE]
or equivalently
[TABLE]
3. (iii)
ε⟶0+lim∥f∗φε−f∥Lwp(.)(Rn)=0* uniformly for f∈\tciFourier, where φε
is a mollifier function.*
The following theorem can be proved for the spaces Lwp(.)(Rn) as Theorem 3 and Theorem 4 in [13].
Theorem 6**.**
Let \tciFourier⊂Lwp(.)(Rn), p(.)∈Plog(Rn), 1<p−≤p+<∞ and w∈Ap(.). Then the family \tciFourier⊂Lwp(.)(Rn) is precompact in Lwp(.)(Rn) if and only if
(i)
\tciFourier* is bounded in Lp(.)(Rn,w), i.e. f∈\tciFouriersup∥f∥Lwp(.)(Rn)<∞*
2. (ii)
*For every ε>0 there is a R>0 such that
for all *f∈\tciFourier
[TABLE]
3. (iii)
*For every ε>0 there is a δ>0 such
that for all f∈\tciFourier and *∀∣h∣<δ
[TABLE]
or equivalently
[TABLE]
where fh(x)=(f)B(x,h)=∣B(x,h)∣1∫B(x,h)f(t)dt.
3. Weighted Variable Exponent Amalgam Spaces
Definition 9**.**
The space Lloc,wp(.)(Rn) is to be space of functions on Rn such that f restricted to any compact subset K of Rn belongs to Lwp(.)(Rn). Note that the embeddings Lwp(.)(Rn)↪Lloc,wp(.)(Rn)↪Lloc1(Rn) hold.
Let 1≤p(.),q<∞ and Jk=[k,k+1), k∈Z. The weighted variable exponent amalgam spaces (Lwp(.),ℓq) are defined by
[TABLE]
where
[TABLE]
It is well known that (Lwp(.),ℓq) is a Banach
space and does not depend on the particular choice of Jk, that is, Jk can be equal to [k,k+1), [k,k+1] or (k,k+1). If
the weight w is a constant function, then the space (Lwp(.),ℓq) coincides with (Lp(.),ℓq). Moreover, If the exponent p(.) and the weight w are
constant functions, then we have the usual amalgam space (Lp,ℓq), see [3], [20], [34]. The dual space of (Lwp(.),ℓq) is isometrically isomorphic to (Lw∗r(.),ℓt) where p(.)1+r(.)1=1, q1+t1=1 and w∗=w1−r(.). Also, the space (Lwp(.),ℓq) is reflexive.
Moreover, it is known that (Lwp(.),ℓq) is a
solid Banach function space, see [4].
In 2014, Meskhi and Zaighum [27] proved the boundedness of maximal
operator for weighted variable exponent amalgam spaces under some
conditions, see [27, Theorem 3.3], [27, Theorem 3.4].
Throughout this paper, we assume that p(.)∈Plog(Rn), 1<p−≤p(.)≤p+<∞, w∈Ap(.)
and the maximal operator is bounded in weighted variable exponent amalgam
spaces.
Remark 2**.**
Let p(.)1+r(.)1=1 and q1+s1=1. Then
there exists a constant C>0 such that
[TABLE]
for f∈(Lwp(.),ℓq) and g∈(Lw∗r(.),ℓs). Moreover, the expression
[TABLE]
is satisfied.
Proof.
Let f∈(Lwp(.),ℓq) and g∈(Lw∗r(.),ℓs). Using Hölder inequality for variable
exponent Lebesgue and classical sequences spaces, we have
[TABLE]
This completes the proof.
Definition 10**.**
([3],[31])Lc,wp(.)(R) denotes the functions f in Lwp(.)(R) such that suppf⊂R is compact, that is,
[TABLE]
Let K⊂R be given. The cardinality of the set
[TABLE]
is denoted by ∣S(K)∣, where {Jk}k∈Z is a collection of intervals.
By the Corollary 1, the proof of the following result can be
obtained similar to Proposition 5.
Corollary 2**.**
The class C0∞(R) is dense in (Lwp(.),ℓq) for 1≤p(.),q<∞.
Now we give the proof of the Kolmogorov-Riesz Theorem for \tciFourier⊂(Lwp(.),ℓq).
Theorem 8**.**
A subset \tciFourier⊂(Lwp(.),ℓq) is totally bounded if and only if
(i)
\tciFourier* is bounded in (Lwp(.),ℓq), i.e. f∈\tciFouriersup∥f∥(Lwp(.),ℓq)<∞*
2. (ii)
For every ε>0 there is some γ>0
such that for all f∈\tciFourier
[TABLE]
3. (iii)
ε⟶0+lim∥f∗φε−f∥(Lwp(.),ℓq)=0* uniformly for f∈\tciFourier, where φε is a mollifier function.*
Proof.
Assume that \tciFourier is totally bounded in (Lwp(.),ℓq). Then, for every ε>0 there exists a finite ε-cover for the set \tciFourier. This implies plainly the
boundedness of \tciFourier, and then we get (i). To prove
condition (ii), let ε>0 be given. If we take the set {V1,V2,..,Vm} as an ε-cover of \tciFourier, and hj∈Vj for j=1,...,m, then for a γ>0
we have
[TABLE]
If f∈Vj, then we have ∥f−hj∥(Lwp(.),ℓq)≤ε. This follows that
[TABLE]
This implies the condition (ii). Finally, we show the condition
(iii). Let f∈\tciFourier be given. Then by Theorem 7, given ε>0 there exists g∈Lc,wp(.)(R) such that
where Mf is the maximal function. Since the condition (i) hold,
we have uniformly boundedness of all functions in \tciFourierε. Now, we denote
[TABLE]
If we consider the Proposition 2 and the monotonicity of
the maximal operator, then we get
[TABLE]
This yields
[TABLE]
Therefore, we get that all functions in \tciFourierεε are uniformly bounded. If we use the techniques of Theorem 11
in [30] for the rest of proof, then we can prove the theorem similarly.
The following theorem has been given us a different characterization of
precompactness in (Lwp(.),ℓq) similar to Theorem
3 and Theorem 4 in [13].
Theorem 9**.**
The family \tciFourier⊂(Lwp(.),ℓq) is
totally bounded in (Lwp(.),ℓq) if and only if
(i)
\tciFourier* is bounded in (Lwp(.),ℓq), i.e. f∈\tciFouriersup∥f∥(Lwp(.),ℓq)<∞*
2. (ii)
For every ε>0, r⟶0+
and for all f∈\tciFourier we have
[TABLE]
or equivalently
[TABLE]
where (f)B(x,r)=∣B(x,r)∣1∫B(x,r)f(t)dt.
3. (iii)
*For every ε>0 there is a γ>0 such
that for all *f∈\tciFourier
[TABLE]
Proof.
Assume that \tciFourier⊂(Lwp(.),ℓq) is
totally bounded. Then, for every ε>0 there exists a finite ε-cover for the set \tciFourier. Thus, we take {fl}l=1,...,mε-cover in \tciFourier such that
[TABLE]
The totally boundedness of \tciFourier implies plainly the boundedness of
\tciFourier. Hence we get (i). By Theorem 7, given ε>0 there exists g∈Lc,wp(.)(R) such that
[TABLE]
where c>0. Let E be the compact support of g. Now, we will show that
[TABLE]
or equivalently
[TABLE]
as r⟶0+. By the Proposition 1, we have Lwp(.)↪Lloc1. Therefore, we have (g)B(x,r)⟶g(x) for x∈E as r⟶0+ by the Lebesgue differentiation theorem, see [19]. If we use the boundedness of the Hardy-Littlewood maximal operator Mg for g∈Lwp(.)(E), then we get
[TABLE]
By the Lebesgue dominated convergence theorem, we have
[TABLE]
for sufficiently small r>0. Also by Proposition 4, we get
This completes the proof of (ii). If we use similar method in
Theorem 8, then we get (iii).
Now, we assume that the conditions (i), (ii) and (iii) are satisfied. Since (Lwp(.),ℓq) is a
solid Banach function space, the proof is completed by [14, Theorem 3.1].
Remark 3**.**
Let Ω⊂Rn be an open set. The set Lloc,wp(.)(Ω) is
defined by
[TABLE]
with the usual identification of functions that are equal almost everywhere.
Moreover, by [15, Lemma 2.2] it is well known that there exists a
sequence of compact subsets {Kj}j∈N such that
[TABLE]
where Kj={x∈Ω:∣x∣≤j and dist(x,∁Ω)≥j1}. Here,
the complement of Ω is denoted by ∁Ω.
Lloc,wp(.)(Ω)* is equipped with topology of Lwp(.)(Ω) convergence on compact subsets of Ω. In addition, any compact subset of Ω is contained in some Kj, and then the space Lloc,wp(.)(Ω) is a
topological vector space with the countable family of seminorms,*
[TABLE]
Moreover, the space Lloc,wp(.)(Ω) is a complete
with respect to the metric (f,g)⟶j=1∑∞min((2−j,pj(f−g)). Hence
it is obtained that Lloc,wp(.)(Ω) is a Frěchet space.
The following theorem is proved by [18] for constant exponent.
Theorem 10**.**
A subset \tciFourier⊂Lloc,wp(.)(Ω) is
totally bounded if and only if
(i)
For every compact K⊂Ω there is some C>0
such that
[TABLE]
where f_{K}(x)=\left\{\begin{array}[]{c}f(x),\\
0,\end{array}\right.\begin{array}[]{c}x\in K\\
otherwise\end{array}.
2. (ii)
For every ε>0 and every compact K⊂Ω there is some r>0 such that
[TABLE]
where f_{K}(x)=\left\{\begin{array}[]{c}f(x),\\
0,\end{array}\right.\begin{array}[]{c}x\in K\\
otherwise\end{array}.
Proof.
The subset \tciFourier⊂Lloc,wp(.)(Ω) is
totally bounded in Lloc,wp(.)(Ω) if and only if \tciFourierj={fKj:f∈\tciFourier} is totally
bounded for every j, with Kj as defined above.
Remark 4**.**
Let {Ak}k∈Z be a family of Banach spaces. We define the space ℓq(Ak) given by
[TABLE]
where ∥x∥=(k∈Z∑∥xk∥Akq)q1. It can be
seen that ℓq(Ak) is a Banach space with respect to
the norm ∥.∥. Moreover, (Lwp(.),ℓq) is a particular case of ℓq(Ak).
Indeed, if we define the amalgam space as
[TABLE]
take Ak=Lwp(.)(Jk),Jk=[k,k+1),
then the map f⟶(fk), fk=fχJk
is an isometric isomorphism from (Lwp(.),ℓq) to ℓq(Lwp(.)(Jk)), see [2],
[10]. Hence, for the totally boundedness of \tciFourier⊂(Lwp(.),ℓq) we can use the Theorem 4. Note that \tciFourier is totally bounded in (Lwp(.),ℓq) if and only if the set {{∥fχJk∥Lwp(.)(R)}k∈Z:f∈\tciFourier} is totally bounded in ℓq(Lwp(.)(Jk)) for k∈Z with 1≤q<∞.
4. Weighted Variable Exponent Sobolev Spaces
Let ϑ−p(.)−11∈Lloc1(Rn). Since every function in Lϑp(.)(Rn) has distributional derivatives by Proposition 1, we
get that the weighted variable exponent Sobolev spaces Wϑk,p(.)(Rn) are well defined.
Definition 11**.**
Let 1<p−≤p(x)≤p+<∞, ϑ−p(.)−11∈Lloc1(Rn) and k∈N. We define the weighted variable Sobolev spaces Wϑk,p(.)(Rn) by
[TABLE]
equipped with the norm
[TABLE]
where α∈N0n is a multi-index, ∣α∣=α1+α2+...+αn and Dα=∂x1α1...∂xnαn∂∣α∣. Moreover, the space Wϑk,p(.)(Rn) is a reflexive Banach space.
The space Wϑ1,p(.)(Rn) is defined by
[TABLE]
The dual space of Wϑ1,p(.)(Rn) is denoted by Wϑ∗−1,q(.)(Rn) where ϑ∗=ϑ1−q(.).
The function ϱ1,p(.),ϑ:Wϑ1,p(.)(Rn)⟶[0,∞) is defined as ϱ1,p(.),ϑ(f)=ϱp(.),ϑ(f)+ϱp(.),ϑ(∇f) for every f∈Wϑ1,p(.)(Rn). Also, the norm ∥f∥Wϑ1,p(.)(Rn)=∥f∥Lϑp(.)(Rn)+∥∇f∥Lϑp(.)(Rn) makes the space Wϑ1,p(.)(Rn) a Banach space, see [23].
Theorem 11**.**
A subset \tciFourier⊂Wϑk,p(.)(Rn) is totally bounded if and only if
(i)
\tciFourier* is bounded in Wϑk,p(.)(Rn), i.e. there is a C>0 such that for f∈\tciFourier and *0≤∣α∣≤k
[TABLE]
2. (ii)
*For every ε>0 there is a γ>0 such
that for all f∈\tciFourier and *0≤∣α∣≤k
[TABLE]
or equivalently
[TABLE]
3. (iii)
ε⟶0+lim∥Dα(f∗φε)−Dαf∥Lϑp(.)(Rn)=0* uniformly for f∈\tciFourier and 0≤∣α∣≤k where φε is a mollifier function.*
Proof.
Note that \tciFourier is totally bounded in Wϑk,p(.)(Rn) if and only if Dα[\tciFourier]={Dαf:f∈\tciFourier} is totally bounded in Lϑp(.)(Rn) for every multi-index α with 0≤∣α∣≤k by Theorem 5.
Using [13, Theorem 5] we have an extension of [18, Corollary 9]
to weighted variable exponent Sobolev spaces Wϑk,p(.)(Rn).
Theorem 12**.**
Let \tciFourier⊂Wϑk,p(.)(Rn) be given. If the following conditions are satisfied
(i)
\tciFourier* is bounded in Wϑk,p(.)(Rn), i.e. there is C>0 such that for f∈\tciFourier and *0≤∣α∣≤k
[TABLE]
2. (ii)
*for every ε>0 there is a γ>0 such
that for all f∈\tciFourier and *0≤∣α∣≤k
[TABLE]
or equivalently
[TABLE]
3. (iii)
for every ε>0 there is a ρ>0 such
that
[TABLE]
for f∈\tciFourier, 0≤∣α∣≤k and ∣y∣<ρ,
then, \tciFourier is totally bounded.
5. Applications
In this section, using a compact embedding theorem for weighted variable
exponent Sobolev spaces Wϑ1,p(.)(Rn), we discuss totally bounded subsets of Lϑq(.)(Rn).
Theorem 13**.**
([26])Let p(.),q(.),ϑ1 and ϑ2 satisfy hypotheses in [26, Corollary 3.1]. Then the continuous
embedding Wϑ11,p(.)(Rn)↪Lϑ2q(.)(Rn) is satisfied.
Theorem 14**.**
Assume that hypotheses of Theorem 13 hold. Also, let ϑ2∈Aq(.) and \tciFourier be a bounded subset of Wϑ11,p(.)(Rn). If, for every ε>0, there is a γ>0 such
that for all f∈\tciFourier
[TABLE]
then \tciFourier is a totally bounded subset of Lϑ2q(.)(Rn).
Proof.
For the proof, we will show that \tciFourier satisfies the hypotheses of
Theorem 6 with p(.) replaced by q(.). By Theorem 13, there exists a C>0 such that
[TABLE]
for all f∈\tciFourier⊂Wϑ11,p(.)(Rn). This yields the condition (i) of Theorem 6. Now, we set a function u(.)=f(.)χ(∣.∣−γ) where \chi\left(\left|.\right|-\gamma\right)=\left\{\begin{array}[]{c}0,\text{ \ \ }\left|.\right|\leq\gamma\\
1,\text{ \ \ }\left|.\right|>\gamma\end{array}\right.. If we consider the (5.2) and [26, Proposition 2.3], then we have
for all f∈\tciFourier. This completes the condition of *(ii) *of Theorem 6. Now, we will consider the rest of proof. Let f∈\tciFourier. Since the space Cc(Rn) is dense in Lϑ2q(.)(Rn), given ε>0 there exists g∈Cc(Rn) such that
[TABLE]
Now, we will show that
[TABLE]
or equivalently
[TABLE]
as h⟶0+. By the Proposition 1, we have Lϑ2q(.)↪Lloc1. Therefore, we have (g)B(x,h)⟶g(x) for x∈Rn as h⟶0+ by the Lebesgue differentiation theorem,
see [19]. If we use the boundedness of the Hardy-Littlewood maximal
operator Mg for g∈Lϑ2q(.)(Rn), then we get
[TABLE]
By the Lebesgue dominated convergence theorem, we have
[TABLE]
for sufficiently small h>0. Therefore, if we consider (5.4) and (5.5), then we obtain
[TABLE]
This completes the proof.
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