1. Introduction
The purpose of this paper is to study the boundedness properties of the fractional integral operator
$I_{\alpha }$
,
$0<\alpha <n$
, and the fractional maximal operator
$M_{\alpha }$
,
$0\le \alpha <n$
, in the framework of Choquet integrals with respect to Hausdorff content.
Let
$n\in {\mathbb N}$
and
$0<d\le n$
. The symbol
${\mathcal Q}({\mathbb R}^n)$
denotes the family of all cubes with sides parallel to the coordinate axes in
${\mathbb R}^n$
. The d-dimensional Hausdorff content of
$E\subset {\mathbb R}^n$
is defined by

where the infimum is taken over all coverings of the set E by countable families of cubes
$Q_j$
and
$\ell (Q)$
stands for the side length of the cube Q. It is easily seen that
$H^n(E)$
is just the Lebesgue measure of E, which we will denote by
$|E|$
. For any cube Q, one has
$H^d(Q)=\ell (Q)^d$
.
For a nonnegative function f, the integral of f with the respect to
$H^d$
is taken in the Choquet sense:

For
$0<p<{\infty }$
, the Choquet space
$L^p(H^d)$
and the weak Choquet space
$\mathrm {w}\hskip -0.6pt{L}^p(H^d)$
consist of all functions with the properties

and

respectively. For
$0<q\le p<{\infty }$
, the Choquet–Morrey space
${\mathcal M}^p_q(H^d)$
consists of all functions with the property

The fractional maximal operator of order
$\alpha $
,
$0\le \alpha <n$
, is defined by

where
$\chi _{E}$
is the characteristic function of the set E. For
$\alpha =0$
, the operator
$M_0$
is the usual Hardy–Littlewood maximal operator which is denoted simply by M. The fractional integral operator of order
$\alpha $
,
$0<\alpha <n$
, is defined by

Orobitg and Verdera [Reference Orobitg and Verdera6] proved that, for
$0<d<n$
and
$p>d/n$
,

The tools and ideas that we will use are essentially contained in this classical paper.
We note a disadvantage of the Hausdorff content
$H^d$
. It is not true that there exists a constant
$C>0$
such that if
$Q_1,\ldots ,Q_m$
are nonoverlapping dyadic cubes and
$f\ge 0$
, then

This can be shown by subdividing the interval
$[0, 1]$
into
$2^m$
(m large enough) equal intervals and taking
$f\equiv 1$
.
However, an advantage of the Hausdorff content
$H^d$
is that the spaces
$L^p(H^d)$
,
$0<p\le 1$
, have a block decomposition. As a corollary, (see [Reference Saito, Tanaka and Watanabe8, Theorem 2.3]), if T is a subadditive operator and
$0<d,\delta <n$
,
$0<p\le 1$
and
$q\ge p$
, then the following statements are equivalent:
-
(a) the inequality
$\displaystyle \|Tf\|_{L^q(H^{\delta })} \le C_1 \|f\|_{L^p(H^d)}$ holds;
-
(b) the testing inequality
$\displaystyle \|T\chi _{Q}\|_{L^q(H^{\delta })} \le C_2\ell (Q)^{1/p}$ holds for any
$Q\in {\mathcal Q}({\mathbb R}^n)$ .
Moreover, the least possible constants
$C_1$
and
$C_2$
are equivalent. Because of this advantage, by using an easy testing inequality, one can verify the following results from [Reference Adams2]. For
$d/n<p<d/\alpha $
,

For
$0<d\le n$
,

The reason why the advantage influences the cases
$p>1$
is that, for the fractional maximal operator
$M_{\alpha }$
, the pointwise estimate

gives a reduction to the case
$p=1$
. This no longer works for the fractional integral operator
$I_{\alpha }$
. The difficulty is overcome by using Hedberg’s trick (see Lemma 2.7), which is due to the first author (Hatano).
Theorem 1.1. Let
$0<d\le n$
and
$0\le \alpha <n$
. Suppose that
$d/n\le r<p<d/\alpha $
and

Then:
-
(i)
$\|M_{\alpha }f\|_{\mathrm {w}\hskip -0.6pt{L}^q(H^{d-\alpha r})} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^p(H^d)}$ ;
-
(ii)
$\|I_{\alpha }f\|_{\mathrm {w}\hskip -0.6pt{L}^q(H^{d-\alpha r})} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^p(H^d)}$ for
$0<d<n$ ,
$0<\alpha <n$ and
$d/n<r$ .
-
(iii)
$\|I_{\alpha }f\|_{L^q(H^{d-\alpha r})} \lesssim \|f\|_{L^p(H^d)}$ for
$0<d<n$ ,
$0<\alpha <n$ and
$d/n<r$ .
Remark 1.2. Taking into account (1.1), one might expect that Theorem 1.1(i) holds for the case
$q=r=p$
. However, this is not so because, as a special case, it would give the false inequality
$\|M_{\alpha }f\|_{\mathrm {w}\hskip -0.6pt{L}^1(H^{n-\alpha })} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^1(H^n)}$
.
The key ingredient in the proof of Theorem 1.1(i) is a Kolmogorov-type inequality: for any measurable set
$E\subset {\mathbb R}^n$
,

This means that weak
$L^p$
integrability implies local
$L^q$
integrability provided that
${q<p}$
. In the above inequality, taking the supremum over all measurable sets, we can obtain the reverse inequality and, as a consequence, the weak Choquet norm can be estimated as follows (see Proposition 2.5). For
$0<q<p<{\infty }$
,

We notice that the parameter q does not affect the set
$\mathrm {w}\hskip -0.6pt{L}^p(H^d)$
. However, in the above supremum, if one restricts to the cube
$Q\in {\mathcal Q}({\mathbb R}^n)$
instead of the general set
$E\subset {\mathbb R}^n$
, then one gets Morrey spaces and one can no longer ignore the influence of the second parameter q. We establish the following results. The first part is from [Reference Tang10, Theorem 2].
Theorem 1.3. Let
$0<d\le n$
and
$0\le \alpha <n$
. Suppose that
$d/n<r\le p<d/\alpha $
and

Then:
-
(i)
$\|M_{\alpha }f\|_{{\mathcal M}^q_r(H^{d-\alpha r})} \lesssim \|f\|_{{\mathcal M}^p_r(H^d)}$ ;
-
(ii)
$\|I_{\alpha }f\|_{{\mathcal M}^q_r(H^{d-\alpha r})} \lesssim \|f\|_{{\mathcal M}^p_r(H^d)}$ for
$0<d<n$ and
$0<\alpha <n$ .
The paper is organised as follows. In Section 2, we give a proof of the Kolmogorov-type inequality and summarise some elementary properties. In Section 3, we prove the theorems. In Section 4, as an appendix, we gather some further results.
Throughout the paper, we use the following notation. If X and Y are normed spaces with
$\|\cdot \|_{X} \lesssim \|\cdot \|_{Y}$
, then we write
$X\hookleftarrow Y$
or
$Y\hookrightarrow X$
(sometimes called the embedding). If
$X\hookleftarrow Y$
and
$X\hookrightarrow Y$
, then we write
$X=Y$
.
For quantities A and B, if
$A\le C B$
, then we write
$A\lesssim B$
or
$B\gtrsim A$
, and if
$A\lesssim B$
and
$A\gtrsim B$
, then we write
$A\sim B$
.
2. Preliminaries
We use the following fact about the Hausdorff content, due to Orobitg and Verdera [Reference Orobitg and Verdera6, Lemma 3].
Lemma 2.1. If
$0<d\le n$
,
$0<p<{\infty }$
and
$1\le \theta \le n/d$
, then

Proof. By the substitution
$t=s^{\theta }$
,

Since

we obtain

Thus,

Since

it follows that

We summarise some elementary properties of the weak Choquet spaces.
Proposition 2.2
-
(W1) (Chebyshev’s inequality) For
$p>0$ ,
$L^p(H^d)\hookrightarrow \mathrm {w}\hskip -0.6pt{L}^p(H^d)$ .
-
(W2) If
$0<d\le \theta d\le n$ and
$0<p<{\infty }$ , then
$\mathrm {w}\hskip -0.6pt{L}^p(H^d) \hookrightarrow \mathrm {w}\hskip -0.6pt{L}^{\theta p}(H^{\theta d})$ .
-
(W3) If
$d=n$ , then the weak Choquet spaces
$\mathrm {w}\hskip -0.6pt{L}^p(H^d)$ are the usual weak
$L^p$ spaces
$\mathrm {w}\hskip -0.6pt{L}^p({\mathbb R}^n)$ .
Proof. The assertions (W1) and (W3) can be shown immediately from the definition. To prove assertion (W2), we appeal to (2.2) and observe that

We next prove the Kolmogorov-type inequality. For
$0<p,r\le {\infty }$
, we define the Lorentz quasinorm

The Lorentz space
$L^{p,r}(H^d)$
is the set of all functions for which this quasinorm is finite.
Proposition 2.3. Let
$0<d\le n$
,
$0<q<p<{\infty }$
and E be any measurable set.
-
(a) If
$q\le r\le p$ , then
$$ \begin{align*} H^d(E)^{1/p-1/q} \bigg(\int_{E}|f|^q\,{ d}H^d\bigg)^{1/q} \lesssim q^{1/r} \|f\chi_{E}\|_{L^{p,q}(H^d)}. \end{align*} $$
-
(b) If
$p<r$ , then
(2.3)$$ \begin{align} H^d(E)^{1/p-1/q} \bigg(\int_{E}|f|^q\,{ d}H^d\bigg)^{1/q} \lesssim \bigg(q\bigg(\frac{r-p}{r(p-q)}\bigg)^{{(r-p)}/{r}}\bigg)^{1/p} \|f\chi_{E}\|_{L^{p,r}(H^d)}. \end{align} $$
Proof. (a) Let E be an arbitrary measurable set satisfying
$0<H^d(E)<{\infty }$
. For any
$A>0$
,

If we take
$A^r = q\|f\chi _{E}\|_{L^{p,r}(H^d)}^r H^d(E)^{-r/p}$
, then the two terms on the right-hand side of the above inequality balance. Thus,

and this implies

(b) For any
$A>0$
,

This implies

and, proceeding as before,

which yields (2.3).
Remark 2.4. Taking
$E=Q\in {\mathcal Q}({\mathbb R}^n)$
and
$r={\infty }$
in (2.3) yields

For an arbitrary r with
$p\le r<{\infty }$
, multiplying by
$\displaystyle \ell (Q)^{ d/r- d/p}$
on both sides gives

This means that, for
$0<q<p\le r<{\infty }$
,

The estimate (2.4) can be found in [Reference Gunawan, Hakim, Limanta and Masta4] and the book [Reference Sawano, Di Fazio and Hakim9]. It is interesting because one always has

In the case
$r={\infty }$
in Proposition 2.3, we can show the reverse inequality.
Proposition 2.5. Let
$0<d\le n$
and
$0<q<p<{\infty }$
. Then

Proof. The second inequality follows by taking
$r={\infty }$
in (2.3). We prove the reverse inequality. For all
$t>0$
,

Hence,

as desired.
We summarise some elementary properties of the Choquet–Morrey spaces.
Proposition 2.6
-
(M1) If
$0<p=q<{\infty }$ , then
${\mathcal M}_p^p(H^d)=L^p(H^d)$ .
-
(M2) If
$0<q<p<{\infty }$ , then
$\mathrm {w}\hskip -0.6pt{L}^p(H^d) \hookrightarrow {\mathcal M}_q^p(H^d)$ .
-
(M3) If
$d=n$ , then the Choquet–Morrey spaces
${\mathcal M}^p_q(H^d)$ are the usual Morrey spaces
${\mathcal M}^p_q({\mathbb R}^n)$ .
-
(M4) If
$0<q\le r\le p<{\infty }$ , then
${\mathcal M}^p_r(H^d) \hookrightarrow {\mathcal M}^p_q(H^d)$ .
-
(M5) If
$0<d\le \theta d\le n$ and
$0<q\le p<{\infty }$ , then
${\mathcal M}^p_q(H^d) \hookrightarrow {\mathcal M}^{\theta p}_{\theta q}(H^{\theta d})$ .
Proof. The assertions (M1)–(M4) are obvious. For assertion (M5), we use (2.1) and set
$\tilde {d}=\theta d$
,
$\tilde {p}=\theta p$
and
$\tilde {q}=\theta q$
, to give

It is well known, from Hedberg [Reference Hedberg5], that for
$1\le p<{\infty }$
, the pointwise estimate

holds. To prove the boundedness of the fractional integral operators on weak Choquet and Choquet–Morrey spaces with Hausdorff content, we extend Hedberg’s inequality.
Lemma 2.7. Let
$0\le \beta <\alpha <n$
and
$d/n\le p<q<{\infty }$
with

Then

Proof. Fix
$r>0$
. We decompose

We estimate

where we have used
$2^{\alpha -\beta }-1 \gtrsim \alpha -\beta $
. By (2.1),

where we have used
$2^{ (d/p)-\alpha }-1 \gtrsim (d/p)-\alpha $
. Then, taking the optimal quantity
$r>0$
in the previous inequalities and noticing that

we obtain

as desired.
3. Proof of the theorems
Proof of Theorem 1.1(i)
Set
$\delta =d-\alpha r$
. For
$t>0$
, we see that

Thus,

where we have used (1.1), or (1.2) when
$r=d/n$
. By the Kolmogorov-type inequality (2.3), we need only verify that, for a compact set
$E\subset {\mathbb R}^n$
,
$H^{\delta }(E)^{1/r-1/q} \ge H^d(E)^{1/r-1/p}$
. By (2.2) and since
$\delta <d$
,

and

This completes the proof.
Proof of Theorem 1.1(ii)
Thanks to the continuity, one can choose
$\theta $
and
$\beta $
so that
$1<\theta <n/d$
,
$ r \alpha /p<\beta <\alpha $
and

Setting
$\delta =\theta d$
and
$u=\theta p$
gives
$\delta -\beta u=d-\alpha r$
. This equation and

immediately imply

Since
$\beta <\alpha $
, we see that
$p<u<q$
. The equation

and Lemma 2.7 yield

The equations

and Theorem 1.1(i) yield

Since we always have
$\|f\|_{{\mathcal M}^u_{\delta /n}(H^{\delta })} \lesssim \|f\|_{{\mathcal M}^p_{d/n}(H^d)} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^p(H^d)}$
, this completes the proof.
Proof of Theorem 1.1(iii)
Setting
$\beta = r \alpha /p$
, we have

From Lemma 2.7,

By (1.1),
$\|M_{\beta }f\|_{L^p(H^{d-\beta p})} \lesssim \|f\|_{L^p(H^d)}$
and, by the inclusion property,
$\|f\|_{{\mathcal M}^p_{d/n}(H^d)} \lesssim \|f\|_{L^p(H^d)}$
. These estimates complete the proof.
4. Appendix
In this section, we give some further consequences of our theorems and the embedding lemma (Lemma 2.1).
Proposition 4.1. Let
$0<d,\delta <n$
and
$0\le \alpha <n$
. If
$q>p$
,
$d/n<p<d/\alpha $
and

then

Proof. Because
$\delta>d-\alpha p$
, we can choose u, r and
$\theta>1$
so that
$d/n<r<p$
and

Since

Theorem 1.1(i) yields
$\|M_{\alpha }f\|_{\mathrm {w}\hskip -0.6pt{L}^u(H^{d-\alpha r})} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^p(H^d)}$
, which gives, by the embedding in Proposition 2.2,
$\|M_{\alpha }f\|_{\mathrm {w}\hskip -0.6pt{L}^q(H^{\delta })} \lesssim \|f\|_{\mathrm {w}\hskip -0.6pt{L}^p(H^d)}$
. This completes the proof.
Proposition 4.2. Let
$0<d,\delta \le n$
and
$0\le \alpha <n$
. Suppose that
$d/n<r\le p<d/\alpha $
,
$q\ge p$
,
$\delta \ge d-\alpha r$
,
$s\ge r$
and

Then

Proof. We can choose u and
$\theta \ge 1$
so that
$q=\theta u$
and
$\delta =\theta (d-\alpha r)$
. Since

it follows from Theorem 1.3(i) that
$\|M_{\alpha }f\|_{{\mathcal M}^u_r(H^{d-\alpha r})} \lesssim \|f\|_{{\mathcal M}^p_r(H^d)}$
. Since

we must have
$s=\theta r$
. Thus, by the inclusion property (Proposition 2.6),

as desired.
The case
$d=\delta =n$
of Proposition 4.2 was first studied in unpublished work of Spanne (for the fractional integral operator) and Peetre published in [Reference Peetre7, Theorem 5.4]. After that, the condition used by Spanne was generalised to

by Adams [Reference Adams1], and Chiarenza and Frasca [Reference Chiarenza and Frasca3].
Proposition 4.3. Let
$0<d\le n$
,
$0<\alpha <n$
,
$d/n<r\le p<{\infty }$
and
$0<s\le q<{\infty }$
. If

then

Proof. Taking
$\beta =0$
in Lemma 2.7 gives
$|I_{\alpha }f(x)| \lesssim \|f\|_{{\mathcal M}^p_{d/n}(H^d)}^{1- p/q} Mf(x)^{ p/q}$
. By the boundedness of M on the Morrey spaces,

where, in the last inequality, we have used Proposition 2.6.