R E S E A R C H
Open Access
Sobolev’s inequality for Riesz potentials of
functions in generalized Morrey spaces with
variable exponent attaining the value
over
non-doubling measure spaces
Yoshihiro Sawano
1,2*and Tetsu Shimomura
3*Correspondence:
1Department of Mathematics, Kyoto
University, Kyoto, 606-8502, Japan
2Current address: Department of
Mathematics and Information Sciences, Tokyo Metropolitan University, Minami-Ohsawa 1-1, Hachioji-shi, Tokyo 192-0397, Japan Full list of author information is available at the end of the article
Abstract
Our aim in this paper is to give Sobolev’s inequality for Riesz potentials of functions in generalized Morrey spaces with variable exponent attaining the value 1 over
non-doubling measure spaces. The main result is oriented to the outrange of the well-known Adams theorem.
MSC: Primary 31B15; secondary 46E35; 26A33
Keywords: Riesz potentials; Sobolev’s inequality; Morrey spaces of variable exponents; non-doubling measure
1 Introduction
The boundedness of fractional integral operators on Morrey spaces is known as the Adams theorem. Recently, many endpoint results have been obtained for this theorem, and in this paper we extend them to generalized Morrey spaces with variable exponent attaining the value over non-doubling measure spaces.
In Morrey observed that a weaker regularity sufficed in order that the solutions in elliptic differential equations were smooth []. This observation grew up to be a useful tool for partial differential equations in general. Nowadays, his technique turned out to be a wide theory of function spaces called Morrey spaces; see also []. The (original) Morrey spaceLp,λ(RN) with ≤p<∞and <λ≤Nis a normed space whose norm is given by fLp,λ≡supx∈RN,r>(
rN–λ
B(x,r)|f(y)|pdy)
p forf ∈Lp
loc(RN).
We are oriented to building up a theory of a metric measure space (X,d,μ) for which the notion of dimension is not equipped withμ, wheredis a distance function andμis a Borel measure. For example, we encounter the situation where more than one dimension comes into play.
. InRconsider the setX≡Y∪Z, whereY≡ {(x, , ) :x∈R}and
Z≡ {(x,y,z) :z=x+y}. Denote byHsthes-dimensional Hausdorff measure in
Rfor≤s≤. Considerμ≡H|Y+H|Z. Thenμhas two different dimensions.
. The above example is a little artificial. Consider the Cantor dust, which is given by
E≡∞j=Ej, whereEjis given recursively by
E≡[, ],
Ej+=
e∈{,}
e+
Ej
=
e+
x:x∈Ej,e∈ {, }
⊂R.
Then the Hausdorff dimension ofEiswhile eachEjis a union of closed cubes inR.
As the second example shows, when we consider the subsets inR, it is natural to
ap-proximate them with sets having different dimension. Faced with such an inconvenience, we work on a separable metric spaceXequipped with a nonnegative Radon measureμ, where the notion of dimensions ofXandμdoes not come into play.
We assume that
μ{x}= (.)
for allx∈X. ByB(x,r) we denote the open ball centered atxof radiusr> . We assume
<μB(x,r)<∞ (.)
forx∈Xandr> for simplicity. We writed(x,y) for the distance of the pointsxandy
inX. We are interested in the operator of the formf →XK(·,y)f(y)dμ(y), where f is aμ-measurable function with a certainμ-integrability. Note that (.) is indispensable because we envisage examples in whichK:X×X→[,∞] has singularity at the diag-onal. Meanwhile, (.) does not lose any generality; it is just a matter of restrictingXto supp(μ).
LetGbe a bounded open set inX. Our argument to follow heavily depends upon its diameterdG. Letp≥,ν> andk> . Define the Morrey normfLp,ν,β;k(G)by
fLp,ν,β;k(G)≡sup
x,r
rν(log(e+ /r))β
μ(B(x,kr))
B(x,r)∩G
f(y)pdμ(y) /p
for μ-measurable functions f, where (x,r) runs over all elements in G×(,dG). The Morrey spaceLp,ν,β;k(G) is the set of allμ-measurable functionsf for which the norm fLp,ν,β;k(G)is finite. Whenβ= ,Lp,ν,β;k(G) is denoted byLp,ν;k(G).
In this paper, we aim to understand how the fractional integral operators behave in gen-eralized Morrey spaces with variable exponent attaining the value over non-doubling measure spaces. We obtain the following constant exponent case as a corollary of a more general theorem in non-doubling and variable exponent setting (see Theorem . below). The result is new even for a constant exponent case.
Theorem . Letα,β,ν be constants.Define an index p*by
p* = – α
ν,and letγ > . Define
Uα,f(x)≡
G
d(x,y)α
μ(B(x, d(x,y)))f(y)dμ(y) (.)
for a positiveμ-measurable function f.Then there exists a constant C> such that
μ(B(z, r))
B(z,r)
Uα,f(x)p
*
loge+Uα,f(x)
–γ+αβp*/ν dμ(x)
for all z∈G and <r<dG, whenever f is a nonnegativeμ-measurable function on G satisfyingfL,ν,β;(G)≤.
We remark thatUα,extends naturally the fractional integral operator defined by
Koki-lashvili onRN[]. We also remark that an extension to quasi-metric spaces was performed in [].
Theorem . describes the missing part of the Adams inequality, which we recall now.
Proposition .(Adams, []) Let <α<n, <p,q<∞and <λ≤N.Assumeq=p–αλ.
Then there exists a constant C> such thatIαfLq,λ≤CfLp,λfor all f ∈Lp,λ(RN).
In the endpoint case, whenp= , two natural questions about Proposition . arise.
. Can we prove a similar result by enlargingLq,λ(RN)slightly?
. Can we prove a similar result by shrinkingLp,λ(RN)slightly?
The second question is considered in []. We aim to consider the first question in the present paper.
It is the condition on μthat counts in the present paper; we do not postulate onμ
the so-called doubling condition. Recall that a Radon measureμis said to be doubling if there exists a constantC> such thatμ(B(x, r))≤Cμ(B(x,r)) for allx∈supp(μ) (=X) andr> . Otherwise,μis said to be non-doubling. In connection with the r-covering lemma, the doubling condition had been a key condition in harmonic analysis. However, Nazarov, Treil and Volberg showed that the doubling condition was not necessary by using the modified maximal operator [, ]. The idea of replacingd(x,y) with d(x,y) in (.) originates from these papers. In the present paper, we show that this idea works even for Riesz potentials.
Here, we summarize the structure of the space Lp,ν;k(G) in Proposition . and Re-mark . below. Note that the Morrey spaceLp,ν;k(G) does depend upon the parameter
k, which is illustrated by the following proposition.
Proposition . ([]) There does exist a bounded separable metric space(X,d,μ)such that Lp,ν;(G)and Lp,ν;(G)do not coincide as sets.
About the modified Morrey norm, we have the following remarks.
Remark . Letf :X→[,∞] be aμ-measurable function andGbe a bounded open subset ofX.
. From the definition of the norms, we learnfLp,ν;k(G)≤ fLp,ν;k(G)for allk>k>
andp≥.
. Ifp≥p≥,k≥andν/p=ν/p> , thenfLp,ν;k(G)≤ fLp,ν;k(G)by the Hölder inequality.
. Ifμis a doubling measure, thenfLp,ν;k(G)andfLp,ν;(G)are equivalent for allp≥,
k> andν> .
Our result can be readily translated into the Morrey spaceLp,λ(G), whereLp,λ(G) is the set
of all functionsf such that
fLp,λ(G)≡ sup
x∈G,r∈(,dG)
rN–λ
G∩B(x,r)
f(y)pdy
Keeping our fundamental result, Theorem ., in mind, let us describe our results in full generality. We seek to establish Sobolev’s inequality for Riesz potentials of functions in generalized Morrey spaces with variable exponent attaining the value over non-doubling measure spaces, which will extend the results in our earlier papers [–]. In the present paper, we show that a modification enables us to obtain boundedness results in generalized Morrey spaces with variable exponent attaining the value over non-doubling measure spaces even when
inf
x∈Xp(x) = .
We consider variable exponentsp(·) andq(·) onXsuch that
(P) ≤p–≡infx∈Xp(x)≤supx∈Xp(x)≡p+<∞;
(P) |p(x) –p(y)| ≤C/log(e+d(x,y)–)wheneverx∈Xandy∈X;
(Q) –∞<q–≡infx∈Xq(x)≤supx∈Xq(x)≡q+<∞;
(Q) |q(x) –q(y)| ≤C/log(e+ (log(e+d(x,y)–)))wheneverx∈Xandy∈X.
In general, ifp(·) satisfies (P) (resp.q(·) satisfies (Q)), thenp(·) (resp.q(·)) is said to satisfy the log-Hölder (resp. loglog-Hölder) condition. Observe that these conditions are much weaker than Lipschitz continuity.
Next, we redefine the Riesz potential. Recall that we are working on a bounded subset
GofX. For a boundedμ-measurable functionα(·) :X→(,∞) and a constantκ> , we define the Riesz potential of (variable) orderα(·) for a nonnegativeμ-measurable function
f onGby
Uα(·),κf(x)≡
G
d(x,y)α(x)f(y)
μ(B(x,κd(x,y)))dμ(y).
Here and in what follows, we tacitly assume thatf = outsideG. Observe that this natu-rally extends the Riesz potential operator
Uαf(x)≡
RN f(y) |x–y|N–αdy
when (X,| · |,μ) is theN-dimensional Euclidean space andμ=dx. We also assume
α–≡inf
x∈Xα(x) > (.)
forα(·) appearing in the definition of the operatorUα(·),κ.
Now, we are going to formulate our results in full generality. First of all, we set
(x,r) =p(·),q(·)(x,r)≡rp(x)
log(c+r)q(x) (x∈X,r> ); (.) here we assume
() p(·),q(·)(x,·)is convex on[,∞)for everyx∈X.
Note that () holds for somec≥eif and only if there is a positive constantKsuch that
(see [, Theorem .]). Observe from () that the functiont →t–(x,t) is
nondecreas-ing on (,∞) for fixedx∈X.
Now, we redefine and extend the definition of Morrey norms adapted to the func-tion. Letk> be a fixed parameter and letGbe a bounded subset ofX. Let us de-note bydG the diameter ofG. For boundedμ-measurable functionsν:X→(,∞) and
β:X→(–∞,∞), we introduce the familyL,ν,β;k(G) of allμ-measurable functionsf on
Gsuch that for someλ∈(,∞),
sup x∈G,<r<dG
rν(x)(log(c+ /r))β(x)
μ(B(x,kr))
G∩B(x,r)
y,f(y)/λdμ(y)≤. (.)
Denote byfL,ν,β;k(G)the smallest value ofλsatisfying (.). Note thatνandβneed not
be continuous.
The spaceL,ν,β;k(G) is a further generalization of generalized Morrey spaces with non-doubling measures onRN, which are taken up in [, ]. Nowadays, generalized Morrey spaces are not generalization for its own sake. Note that generalized Morrey spaces occur naturally when we consider the limiting case as Proposition . below shows.
Proposition . ([, Theorem .]) Let <p<∞and <λ<N. Then there exists a
positive constant Cp,λsuch that
B
f(x)dx≤Cp,λ|B|
+|B|–plog
e+ |B|
( – )λ/pf Lp,λ
holds for all f ∈Lp,λ(RN)with( – )λ/pf ∈Lp,λ(RN)and for all balls B.
In view of the integral kernel of ( – )–α/(see []) and the Adams theorem, we have
( – )–α/:Lp,λRN→Lq,λRN (.)
is bounded as long as
<p,q<∞, <λ≤N,
q=
p– α λ.
However, ifα=λp, the numberqnot being finite, the boundedness assertion (.) is no longer true. Hence, Proposition . can be considered as a substitute of (.). Proposi-tion . shows that the price to pay is the factorlog(e+|Q|). We refer to [] for a coun-terexample showing that (.) is no longer true forα=λp.
Remark that ifX=RN, the parameterkis not essential as long ask> as Proposition . below shows.
Proposition .([]) Let k,k> and X=RN be the Euclidean space.Suppose that G
is a bounded open set.Assume in addition thatνandβsatisfy the log-Hölder continuity
What is different from the classical setting endowed with Lebesgue measure is that we need to take an attentive care of the parametersk appearing in (.). For example, un-like the doubling measure spaces, we need delicate geometric observations (see (.) for example).
Among many other function spaces, Morrey spaces with variable exponents are worth investigating because our result Theorem . shows that the smoothing effect that the fractional integral operators enjoy is local. It is believed thatpin the definition ofLp,ν;k(G) measures the local integrability, whileνseems to control the global integrability.
Here we make a historical remark about the research of this field. The caseμ=dxof Theorem . is covered in [, Theorem .] and [, Corollary .]. Roughly speaking, we seek to discuss the boundedness of the operatorUα(·),:f →Uα(·),f from the Morrey
spaceL,ν,β;(G) to another Morrey spaceL,ν,β;(G) with suitable(x,r), which extends
the results in [–]. Whenp–> , the maximal functions play a crucial tool by Hedberg’s
trick (see []). In view of [, , , ], the modified maximal operator is bounded and this was useful for the case whenp–> . In casep–= , our strategy is to give an estimate
ofUα(·),f by the use of another Riesz-type potentials of order , which plays a role of the
maximal functions. For related results, see [–].
Finally, we explain some notations used in the present paper. The functionχEdenotes the characteristic function ofE. Throughout the present paper, letCdenote various con-stants independent of the variables in question. In analogy withp±andq±, we defineα±,
β±andν±.
2 Sobolev’s inequality in the casep–= 1
Recall that α : X →(,∞), ν :X →(,∞) and β : X →(–∞,∞) are bounded μ -measurable functions andα–> . Throughout this section, we additionally assume that
inf x∈X
/p(x) –α(x)/ν(x)> . (.)
Note thatν(x)≥α(x)p(x) forx∈X. Thus, fromp–≥ and (.), we have
ν–≥α–> . (.)
Our first aim is to give the following Morrey version of Sobolev-type inequality for Riesz potentials
Uα(·),f(x)≡
G
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y). (.)
We consider the Sobolev exponent
/p*(x)≡/p(x) –α(x)/ν(x) (x∈X) (.)
and the new modular function
Theorem . Assume that p(·)satisfies(P)with p–= , (P)and(.).Then, for each
ε> ,there exists a constant C> such that
μ(B(z, r))
B(z,r)
x,Uα(·),f(x)
logc+Uα(·),f(x)
–(+ε)
dx
≤Cr–ν(z)log(c+ /r)–β(z)–ε
for all z∈G and <r<dG, whenever f is a nonnegativeμ-measurable function on G satisfyingfL,ν,β;(G)≤.
Remark . In Theorem ., it is known that we cannot takeε= (see [, Remark .] and O’Neil [, Theorem .]).
Here we outline the proof of Theorem .. Forε> andx∈X, and setting
ρε(r)≡
μ(B(x, r))
log(c+ /r)–ε–, (.)
we consider the logarithmic potential (of order )
Jεf(x) =
G
ρε
d(x,y)f(y)p(y)logc+f(y)q(y)dμ(y). (.)
Decompose
Uα(·),f(x) =
B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y) +
G\B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y)
=I(δ) +I(δ), say. (.)
Following the Hedberg trick [], we plan to controlI(δ) byJεf(x) not by maximal
func-tions (Lemma .). Next, we estimateI(δ) by the use of Young’s inequality (Lemma .).
Finally, an optimization (see (.) below), together with the boundedness property ofJε
(Lemma .), yields the desired estimateUα(·),f(x) in terms ofJεf(x).
Lemma . For <δ<dG,x∈G and a nonnegativeμ-measurable function f on G,set
I(δ)≡
B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y).
Letε> be fixed.Then there exists a constant C> such that
I(δ)≤C
δα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+(+ε)Jεf(x)
,
Proof Recall thatμdoes not charge a pointx(see (.) above) and thatα–> by virtue of
(.). We thus have
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))dμ(y)
=
∞
j=
B(x,–j+δ)\B(x,–jδ)
d(x,y)α(x)
μ(B(x, d(x,y)))dμ(y)
≤
∞
j=
B(x,–j+δ)
(–j+δ)α(x)
μ(B(x, –j+δ))dμ(y)
≤
∞
j=
–j+δα(x)= – –α(x)δ
α(x)≤
– –α–δ
α(x)=Cδα(x).
Consequently,
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))dμ(y)≤Cδ
α(x). (.)
From (), observe that the functiont →t–(x,t) is nondecreasing on (,∞) for fixed
x∈X. With this in mind, fork> , which we specify in (.), we decompose and estimate the integral definingI(δ) according to the level set{|f|>k}:
I(δ)≤k
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))dμ(y)
+
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))f(y)
f(y)
k
p(y)–log
(c+f(y)) log(c+k)
q(y)
dμ(y).
The first term is estimated by (.):
k
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))dμ(y)≤Ckδ
α(x).
Recall also thatρεis defined by (.). Inserting them, we have
I(δ)≤C
kδα(x)+
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))g(y)
k
p(y)–
log(c+k)
q(y)
dμ(y)
≤C
kδα(x)+δα(x)logc+δ–+ε
×
B(x,δ)
ρε
d(x,y)g(y)k–p(y)
log(c+k)
q(y)
dμ(y) ,
whereg(y) =f(y)p(y)(log(c+f(y)))q(y). We set
k≡k(x) =δ–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x). (.) Fory∈B(x,δ), from (P) and the boundedness oflogp,q,βandν, we deduce
so that
k–p(y)≤Ck–p(x). (.)
Similarly, by (Q) we have
log(c+k)–q(y)≤Clog(c+k)–q(x). (.)
Consequently, it follows from (.) and (.) that
I(δ)≤C
kδα(x)
+δα(x)logc+δ–+εk–p(x)
log(c+k)
q(x)
B(x,δ)
ρε
d(x,y)g(y)dμ(y) .
Recall now thatJεf(x) is given by (.). Observe also that
log(c+k) =logc+δ–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)∼logc+δ–,
sinceν–> ,p–≥ andp,q,βare all bounded. Thus,
I(δ)≤C
δα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)logc+δ–+ε–q(x)δν(x)/p(x)logc+δ–(q(x)+β(x))/p(x)p(x)–Jεf(x)
≤Cδα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+(+ε)Jεf(x)
.
Now, the result follows.
In our earlier work, we obtained the following lemma, whose proof is simple; we do not recall the proof.
The quantityI(δ) will be taken care of by using the next lemma.
Lemma .([, Lemma .]) Let f be a nonnegative μ-measurable function on G such
that
fL,ν,β;(G)≤. (.)
Then
I(δ)≡
G\B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y)
≤Cδα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x) (.)
What remains to show for the proof of Theorem . is to give a boundedness property on Morrey spaces forJεf(x).
Lemma . There exists a constant C> such that
μ(B(z, r))
B(z,r)
Jεf(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z)–ε (.)
∀z∈G, <r<dGand nonnegativeμ-measurable functions f satisfyingfL,ν,β;(G)≤. Proof Forz∈Gand <r<dG, write
Jεf(x) =
B(z,r)
ρε
d(x,y)g(y)dμ(y) +
G\B(z,r)
ρε
d(x,y)g(y)dμ(y)
=J(x) +J(x), (.)
whereg(y) =f(y)p(y)(log(c+f(y)))q(y). Then we have
B(z,r)
J(x)dμ(x) =
B(z,r)
B(z,r)
ρε
d(x,y)dμ(x)
g(y)dμ(y)
≤
B(z,r)
B(y,r)
ρε
d(x,y)dμ(x)
g(y)dμ(y)
by the Fubini theorem and a geometric observation. Since we are assuming (.), we can use a routine dyadic decomposition to obtain
B(z,r)
J(x)dμ(x)≤
B(z,r)
∞
j=
B(y,–j+r)\B(y,–j+r)
ρε
d(x,y)dμ(x)
g(y)dμ(y).
We now insert the definition ofρε(see (.) above) and we have
B(z,r)
J(x)dμ(x)
≤
B(z,r)
∞
j=
B(y,–j+r)\B(y,–j+r)
(log(c+ /(–j+r)))–ε–
μ(B(x, –j+r)) dμ(x)
g(y)dμ(y).
A geometric observation shows that μ(B(x, –j+r))≥μ(B(y, –j+r)) providedd(x,y)≤
–j+r. Thus, we have
B(z,r)
J(x)dμ(x)≤
B(z,r)
∞
j=
logc+ /–j+r–ε–
g(y)dμ(y).
Now, we invoke the assumption thatε> and thatr<dG. From these conditions, (.) and the definition ofg, we deduce
B(z,r)
J(x)dμ(x)≤C
log(c+ /r)–ε
B(z,r)
g(y)dμ(y)
so that
μ(B(z, r))
B(z,r)
J(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z)–ε. (.)
Next, we claim thatx∈B(z,r) andy∈/B(z, r) imply that
d(x,y)≤d(y,z)≤d(x,y) (.)
and that
Bx, d(x,y)⊃Bz, d(z,y). (.)
Here we check only (.). Whenw∈B(z, d(z,y)), we have
d(w,x)≤d(z,x) +d(w,z)≤d(z,x) + d(z,y)≤
d(y,z) + d(z,y) =
d(z,y)≤d(y,x).
We use (.), (.) and (.) forJ(x) to obtain
J(x) =
G\B(z,r)
ρε
d(x,y)g(y)dμ(y)
≤C
G\B(z,r)
(log(c+ /d(z,y)))–ε–
μ(B(x, d(z,y))) g(y)dμ(y)
=C
∞
j=
B(z,j+r)\B(z,jr)
(log(c+ /d(z,y)))–ε–
μ(B(z, d(z,y))) g(y)dμ(y).
Consequently, from (.), (.) and the assumption thatβis a bounded function, we ob-tain
J(x)≤C
∞
j=
(log(c+ /(j+r)))–ε–
μ(B(z, j+r))
B(z,j+r)g(y)d
μ(y)
≤C
∞
j=
j+r–ν(z)logc+ /j+r–β(z)–ε–.
Recall thatν–> and thatβis bounded. Therefore, it follows that
J(x)≤C
dG
r
t–ν(z)log(c+ /t)–β(z)–εdt
t ≤Cr
–ν(z)log(c+ /r)–β(z)–ε
forx∈B(z,r). Hence, we see that
μ(B(z, r))
B(z,r)
J(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z)–ε. (.)
From (.), (.) and (.), we conclude (.).
Proof of Theorem. We may assume thatf≥. Forδ> , write
Uα(·),f(x) =I(δ) +I(δ)
according to (.). In view of Lemma ., we find
I(δ)≤C
δα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+(+ε)J
withJ=Jεf(x). Moreover, Lemma . yields
I(δ)≤Cδα(x)–ν(x)/p(x)
logc+δ––(q(x)+β(x))/p(x), (.) so that
Uα(·),f(x)≤C
δα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+(+ε)J. Now, letting
δ≡mindG,J–/ν(x)
log(c+J)–(β(x)+(+ε))/ν(x), (.) we obtain
Uα(·),f(x)≤C
+J/p*(x)log(c+J)–α(x)β(x)/ν(x)–q(x)/p(x)+(+ε)/p∗(x). By Lemma ., we obtain
μ(B(z, r))
B(z,r)
x,Uα(·),f(x)
logc+Uα(·),f(x)
–(+ε)
dμ(x)
≤C
μ(B(z, r))
B(z,r)
( +J)dμ(x)≤Cr–ν(z)log(c+ /r)–β(z)–ε
forz∈Gand <r<dG, which completes the proof of Theorem ..
Remark . [, Example .] shows that Theorem . is best possible to exponents ap-pearing in the Morrey condition.
3 Sobolev’s inequality in the casep–= 1andq–> 0
Letp–= andq–> . In this section, we assume that there exists a constantq> such that
sp(x)–log(c+s)q(x)–q≤Ctp(x)–log(c+t)q(x)–q, (.) whenever <s<t<∞andx∈X. A direct consequence of (.) is that
sp(x)–log(c+s)q(x)–ρ≤Ctp(x)–log(c+t)q(x)–ρ (.) for <ρ≤q. Letp*and be as in (.) and (.), respectively. Under this assumption,
Theorem . Let p–= and q–> .Defineby(.).Assume that p(·),q(·),α(·)andν(·)
satisfy(.)and(.).Then there exists a constant C> such that
μ(B(z, r))
B(z,r)
x,Uα(·),f(x)
logc+Uα(·),f(x)
–
dμ(x)
≤Cr–ν(z)log(c+ /r)–β(z)
for all z∈G and <r<dG, whenever f is a nonnegativeμ-measurable function on G
satisfyingfL,ν,β;(G)≤.
Forε> andx∈X, we let
ρ–ε(r)≡
μ(B(x, r))
log(c+ /r)ε– (.)
as before.
Note that this definition extends naturally (.). For a nonnegativeμ-measurable func-tionf onG, we define the (non-linear) logarithmic potential
Lεf(x)≡
{y∈G:d(x,y)–ε<f(y)} ρ–ε
d(x,y)logc+f(y)–ε
×f(y)p(y)logc+f(y)q(y)dμ(y). (.)
To prove Theorem ., we modify Lemmas . and . in the following manner, respec-tively.
Lemma . Let <ε≤q/and define
F(δ)≡
{y∈B(x,δ):d(x,y)–ε<f(y)}
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε
f(y)dμ(y)
for <δ<dGand a nonnegativeμ-measurable function f on G.Then there exists a
con-stant C> such that
F(δ)≤Cδα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+Lεf(x)
.
Proof We abbreviate{y∈B(x,δ) :d(x,y)–ε<f(y)}toE. For a constantk> , which will be
specified in (.), we let
Ek≡y∈B(x,δ) :d(x,y)–ε<f(y)≤k, E
k≡E\Ek. OnE
k, using (.) and the dyadic decomposition, we estimatef very crudely to obtain
Ek
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε
f(y)dμ(y)
≤klog(c+k)ε
B(x,δ)
d(x,y)α(x)
μ(B(x, d(x,y)))
=klog(c+k)ε
∞
j=
B(x,–j+δ)\B(x,–jδ)
d(x,y)α(x)
μ(B(x, d(x,y)))
logc+ /d(x,y)–εdμ(y)
≤klog(c+k)ε
∞
j=
B(x,–j+δ)
(–j+δ)α(x)
μ(B(x, –j+δ))
logc+ /–j+δ–εdμ(y)
≤klog(c+k)ε
∞
j=
–j+δα(x)logc+ /–j+δ–ε.
If we pass to a continuous variable and keep in mind thatα–> , then we obtain
E k
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε
f(y)dμ(y)
≤Cklog(c+k)ε δ
tα(x)–log(c+ /t)–εdt
≤Cklog(c+k)εδα(x)–α–/logc+δ––ε
δ
tα–/–dt
=Cklog(c+k)εδα(x)logc+δ––ε. In summary, we obtained
Ek
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε
f(y)dμ(y)
≤Cklog(c+k)εδα(x)logc+δ––ε. (.)
OnE
k, we use (.) andε≤q/.
Ek
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε
f(y)dμ(y)
≤C
E k
d(x,y)α(x)
μ(B(x, d(x,y)))
log(c+f(y)) log(c+ /d(x,y))
ε f(y)
×
f(y)
k
p(y)–log(c+f(y))
log(c+k)
q(y)–ε dμ(y)
=C
Ek
d(x,y)α(x)(log(c+ /d(x,y)))–ε(log(c+f(y)))–ε
μ(B(x, d(x,y))) g(y)
k–p(y)
(log(c+k))q(y)–εdμ(y)
≤Cδα(x)logc+δ––ε
×
E
ρ–ε
d(x,y)logc+f(y)–εg(y) k
–p(y)
(log(c+k))q(y)–εdμ(y)
for allx∈G, whereg(y) =f(y)p(y)(log(c+f(y)))q(y). Hence, from (.), we deduce
F(δ)≤C
klog(c+k)εδα(x)logc+δ––ε+δα(x)logc+δ––ε
×
E
ρ–ε
d(x,y)logc+f(y)–εg(y) k
–p(y)
We set
k≡δ–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x). (.) Then we have fory∈B(x,δ),
k–p(y)≤Ck–p(x)
and
log(c+k)–q(y)≤Clog(c+k)–q(x)
as we did in (.) and (.). Consequently, it follows that
F(δ)≤Cδα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+Lεf(x)
.
Now the result follows.
The next lemma is a counterpart for Lemma ..
Lemma . Let f be a nonnegativeμ-measurable function satisfyingfL,ν,β;(G)≤and define Lεf(x)by(.).Ifis given by(.),then there exists a constant C> independent of z∈G, <r<dGand f such that
μ(B(z, r))
B(z,r)
Lεf(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z). (.)
Proof Letf be a nonnegativeμ-measurable function on Gsatisfying fL,ν,β;(G) ≤.
Write
Lεf(x) =
{y∈B(z,r):d(x,y)–ε<f(y)} ρ–ε
d(x,y)logc+f(y)–εg(y)dμ(y)
+
{y∈G\B(z,r):d(x,y)–ε<f(y)} ρ–ε
d(x,y)logc+f(y)–εg(y)dμ(y)
=L(x) +L(x), (.)
whereg(y)≡f(y)p(y)(log(c+f(y)))q(y). Let us estimate
B(z,r)
L(x)dμ(x)
=
B(z,r)
{x∈G:d(x,y)–ε<f(y)} ρ–ε
d(x,y)dμ(x)logc+f(y)–εg(y)dμ(y).
For eachy∈G, we decompose
x∈G:d(x,y)–ε<f(y)=
∞
j=
Then, using (.), (.) and a crude estimate of the integrand, we obtain
B(z,r)
L(x)dμ(x)
≤C
B(z,r)
∞
j=
B(y,j+f(y)–/ε)
(log(c+ /(jf(y)–/ε)))ε–
μ(B(x, j+f(y)–/ε)) dμ(x)
×logc+f(y)–εg(y)dμ(y) ≤C
B(z,r)
∞
j=
logc+ /jf(y)–/εε–
logc+f(y)–εg(y)dμ(y).
From this and the fact thatfL,ν,β;(G)≤, we deduce
B(z,r)
L(x)dμ(x)≤C
B(z,r)
g(y)dμ(y)≤Cr–ν(z)log(c+ /r)–β(z)
μB(z, r),
so that
μ(B(z, r))
B(z,r)
L(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z). (.)
Note thatx∈B(z,r) andy∈/B(z, r) imply that
d(x,y)≤d(y,z)≤d(x,y)
and that
Bx, d(x,y)⊃Bz, d(z,y).
ForL, we insert (.) directly to obtain a pointwise estimate forx∈B(z,r):
L(x)≤C
G\B(z,r)
(log(c+ /d(x,y)))–
μ(B(x, d(x,y))) g(y)dμ(y)
≤C
G\B(z,r)
(log(c+ /d(z,y)))–
μ(B(z, d(z,y))) g(y)dμ(y).
As before, we decomposeG\B(z, r) dyadically to estimateL(x) from above. The result
is
L(x)≤C
∞
j=
B(z,j+r)\B(z,jr)
(log(c+ /d(z,y)))–
μ(B(z, d(z,y))) g(y)dμ(y)
≤C
∞
j=
B(z,j+r)\B(z,jr)
(log(c+ /(j+r)))–
μ(B(z, j+r)) g(y)dμ(y)
≤C
∞
j=
(log(c+ /(j+r)))–
μ(B(z, j+r))
B(z,j+r)g(y)d
From this and the fact thatfL,ν,β;(G)≤, we deduce
L(x)≤C
∞
j=
j+r–ν(z)logc+ /j+r–β(z)–
≤C
dG
r
t–ν(z)log(c+ /t)–β(z)–dt
t
≤Cr–ν(z)log(c+ /r)–β(z)–
forx∈B(z,r). Hence, we see that
μ(B(z, r))
B(z,r)
L(x)dμ(x)≤Cr–ν(z)
log(c+ /r)–β(z)–. (.)
Thus, putting (.), (.) and (.) together, we obtain (.).
Proof of Theorem. We may assume thatf ≥ by considering|f|if necessary. Unlike Theorem ., we have freedom to chooseε, so that we defineε≡min{α–/,q/}. Let us
obtain a pointwise estimate ofUα(·),f(x) forx∈G.
Forδ> , whereδis specified in (.) below, we decompose
Uα(·),f(x) =
B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y)
+
G\B(x,δ)
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))dμ(y)
=I(δ) +I(δ).
As in the proof of (.), we have
B(x,δ)
d(x,y)α(x)–ε
μ(B(x, d(x,y)))dμ(y)≤Cδ
α(x)–ε≤ C
sinceα––ε=α––min{α–/,q/}=max{α–/,α––q/}> .
Note thatε≤q/. In view of Lemma ., we find
I(δ)≤
B(x,δ)
d(x,y)α(x)–ε
μ(B(x, d(x,y)))dμ(y)
+
{y∈B(x,δ):d(x,y)–ε<f(y)}
d(x,y)α(x)f(y)
μ(B(x, d(x,y)))
(log(c+f(y))) log(c+d(x,y)–ε)
ε
f(y)dμ(y)
≤Cδα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+L
withL=Lεf(x). Moreover, Lemma . yields
I(δ)≤Cδα(x)–ν(x)/p(x)
so that
Uα(·),f(x)≤C
δα(x)–ν(x)/p(x)logc+δ––(q(x)+β(x))/p(x)
+δα(x)+(p(x)–)ν(x)/p(x)logc+δ–β(x)–(q(x)+β(x))/p(x)+L. Now, letting
δ≡mindG,L–/ν(x)
log(c+L)–(β(x)+)/ν(x), (.) we obtain
Uα(·),f(x)≤C
+L/p*(x)log(c+L)–α(x)β(x)/ν(x)–q(x)/p(x)+/p∗(x)
.
In view of Lemma ., we find
μ(B(z, r))
B(z,r)
x,Uα(·),f(x)
logc+Uα(·),f(x)
–
dμ(x)
≤C
μ(B(z, r))
B(z,r)
( +L)dμ(x)≤Cr–ν(z)log(c+ /r)–β(z)
,
which completes the proof of Theorem ..
Remark . [, Example .] shows that Theorem . is best possible to exponents ap-pearing in the Morrey condition.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All the authors participated in all the discussions and they read and approved the final manuscript.
Author details
1Department of Mathematics, Kyoto University, Kyoto, 606-8502, Japan.2Current address: Department of Mathematics
and Information Sciences, Tokyo Metropolitan University, Minami-Ohsawa 1-1, Hachioji-shi, Tokyo 192-0397, Japan.
3Department of Mathematics Graduate School of Education, Hiroshima University, Higashi-Hiroshima, 739-8524, Japan.
Acknowledgements
The authors are thankful to the anonymous referees for their valuable comments about the history of fractional integral operators on non-doubling measure spaces.
Received: 18 June 2012 Accepted: 12 November 2012 Published: 7 January 2013 References
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