1. Introduction
The best constants for the Hardy–Littlewood maximal inequalities have always been a challenging topic of research. In 1997, Grafakos and Montgomery-Smith [
1] first obtained the sharp
norm for the one-dimensional uncentered Hardy–Littlewood maximal operator. Since then, the best constants for Hardy–Littlewood maximal operator have been studied extensively. See [
2] for the sharp
norm of the one-dimensional centered Hardy–Littlewood maximal operator as well as [
3,
4,
5,
6,
7,
8,
9] for the optimal constants on the weak
norm of the centered Hardy–Littlewood maximal operator. Recently, Soria and Tradacete [
10] studied the sharp
-norm for the Hardy-Littlewoood maximal operators on finite connected graphs. It should be pointed out that geometric structure of a graph plays an important role in studying maximal operators on graphs. Given the significance of this operator, it is an interesting and natural question to ask what happens when we consider the directed graphs. It is the purpose of this paper to investigate the optimal constants for the
norm of the Hardy–Littlewood maximal operator in directed graph setting.
Let us now recall some known notations, definitions and backgrounds. Let
be an undirected combinatorial graph with the set of vertices
V and the set of edges
E. Two vertices
are called neighbors if they are connected by an edge
. For a
, we use the notation
to denote the set of neighbors of
v. We say that
G is finite if
. Here the notation
represents the cardinality of
A for each subset
. The graph
G is called connected if for any distinct
, there is a finite sequence of vertices
,
, such that
. Let
be the metric induced by the edges in
E, i.e., given
, the distance
is the number of edges in the shortest path connecting
u and
v. Let
be the ball centered at
v, with radius
r on the graph
G, i.e.,
For example,
if
and
if
. For a function
, the Hardy–Littlewood maximal operator
on
G is defined as
If
G has
vertices, the maximal operator
can be rewritten by
Over the last several years the Hardy–Littlewood maximal operator on graphs has been studied by many authors (see [
10,
11,
12,
13,
14,
15,
16]). The Hardy-Littlewoood maximal operator on graphs was first introduced and studied by Korányi and Picardello [
15] who used the above operator to explore the boundary behavior of eigenfunctions of the Laplace operator on trees. Subsequently, Cowling, Meda and Setti [
12] studied the Hardy-Littlewoood maximal operator on homogeneous trees. Later, some weighted norm inequalities for the Hardy-Littlewoood maximal operators on infinite graphs were investigated by Badr and Martell [
11]. Recently, Soria and Tradacete [
10] studied the best constants for the
-norm of the Hardy-Littlewoood maximal operators on finite connected graphs. Later, Soria and Tradacete [
16] investigated some different geometric properties on infinite graphs, related to the weak-type boundedness of the Hardy–Littlewood maximal operator on infinite connected graphs. One can consult [
13,
14] for the variation properties of the Hardy–Littlewood maximal operator on finite connected graphs.
We now introduce the spaces on graphs.
Definition 1 ( space).Let be a graph with the set of vertices V and the set of edges E. For , let be the set of all functions satisfying , where for all and .
By Hölder’s inequality, we have
On the other hand, it is easy to see that
for all
. This together with (
1) yields that
Therefore, the
-boundedness for
is trivial. Moreover, it follows from (
2) that
In [
10], among other things, Soria and Tradacete studied the sharp constants
Precisely, they established the following result.
Theorem 1 - (i)
Let . Then, for any graph G with n vertices, we have Moreover,
- (a)
if and only if . Here denotes the complete graph with n vertices, i.e., for any .
- (b)
if and only if G is isomorphic to . Here denotes the star graph of n vertices, i.e., there exists a unique such that and for every .
- (ii)
The main motivation of this paper is to extend Theorem A to the directed graph setting. Let be a finite graph with the set of vertices V and the set of edges E. Given an edge , if , we say that v (resp., u) is a right (resp., left) neighbor of u (resp., v). Then we write . For , we denote by (resp., ) the set of right (resp., left) neighbors of v. We say that the graph is a directed graph if every edge in E has only a unique direction and for all . The directed graph is called connected if for any distinct , there is a finite sequence of vertices , , such that .
In what follows, we always assume that the graph
with the set of vertices
V and the set of edges
E. Let
be the ball centered at
v, with radius
r on the graph
, equipped with the metric
induced by the edges in
E, i.e., given
, the distance
is the number of edges in a shortest path connecting from
u to
v, and
For example,
if
and
if
. For a function
, we consider the Hardy–Littlewood maximal operator on
Naturally, when
, the maximal operator
can be redefined in the way that
There are some remarks as follows:
Remark 1. This type of operator has its roots in the ergodic theory in infinite directed graph setting. More precisely, let , where and . Then is the usual one-dimensional one-sided discrete Hardy–Littlewood maximal operator , i.e., This type of maximal operator first arose in Dunford and Schwartz’s work [17] and was studied by Calderón [18].
- (ii)
It was pointed out in [10] that the complete graph whose maximal operator is the smallest in the pointwise ordering among all graphs with , but there is no graph G whose maximal operator is the largest in the pointwise ordering among all graphs with . In Section 2, we point out that there is no directed graph whose maximal operator is the smallest or largest in the pointwise ordering among all graphs with vertices, which is different from . - (iii)
It should be pointed out that as with , the maximal operator completely determines the graph (see Proposition 2).
It is not difficult to see that
which together with (
1) leads to
and
Based on (
3) and Theorem A, finding the sharp
-norm of
is a certainly interesting issue, which is the main motivation of this work. In
Section 3 we shall introduce the outward star graph
and the inward star graph
and prove that
and
are the extremal directed graphs attaining, which completely determine the lower and upper estimates of the
-norm for
in the case
, respectively (see Theorem 2). We also claim that the
-norm of
cannot determine the graph
(see Proposition 3). In
Section 4, we consider the
-norm for
in the case
. Actually, the case
is more complicated than the case
, even in the finite undirected graph setting. However, some positive results are discussed. In particular, some sharp estimates of restricted type are given in
Section 4.
2. General Properties for
It was pointed out in [
10] that there exists a smallest operator
, in the pointwise ordering, among all
, with
G a graph of
n vertices. However, there is no directed graph
whose maximal operator
is the smallest or largest in the pointwise ordering among all graphs with
vertices, which can be seen by the following result.
Proposition 1. Let be a directed connected graph with vertices. Then
- (i)
There exist , a function and another directed graph with such that ;
- (ii)
There exist , a function and another directed graph with such that .
Proof. At first, we prove (i). When , let with and . Let us consider the function with and , and with . It is clear that , . This gives by taking . When . There exists a vertex such that . Let us consider the function with and for all , and be a directed graph with . It is clear that and . This gives by taking .
Now we prove (ii). When , let with and . Let us consider the function with and , and with . It is clear that , . This gives by taking . When . There exists a vertex such that . Let . Let us consider the function with and for all , and be a directed graph with and . It is clear that and . This gives the claim (ii) by letting . □
Using the arguments similar to those used to derive the proof of Theorem 2.4 in [
10], one can get the following properties for
, which tells us that the operator
completely determines the graph
.
Proposition 2. Let and be two directed graphs with . For , the function denotes the Kronecker delta function Then the following are equivalent:
- (i)
;
- (ii)
;
- (iii)
For every , it holds that ;
- (iv)
For every , it holds that .
3. Optimal Estimates for with
In this section, we shall present some optimal estimates for with . To state the main results, the following lemma is needed.
Lemma 1. ([
10])
. Let and . Assume that is a sublinear operator, with . Then Before stating our main results, let us introduce two classes of directed graphs. Let be the inward star graph with n vertices, i.e., there exists a unique such that and for all . Let be the outward star graph with n vertices, i.e., there exists a unique such that and for all . Recall that two graphs are said to be isomorphic if there is a permutation of the vertices such that if and only if . In this case, we can write . Noting that if , then and for all . However, the converse is not true (see Proposition 3).
Theorem 2. Let be a directed graph with vertices. Then for , the following optimal estimates hold: Moreover,
- (i)
if and only if ;
- (ii)
if and only if .
Proof. At first, we shall prove (
4). Without loss of generality, we may assume that
. Invoking Lemma
4, one has
Fix
, it is clear that
and
for all
. Since
when
, then
for all
This together with (
5) implies that
. Therefore, to prove (
4), it is enough to show that
Fix
. If
for all
, then
for all
and
. If there exists
such that
, then we get from (
6) that
since
. Then we have
. Therefore, inequality (
7) holds.
Next we prove part (i). Without loss of generality, we may assume that
, where
and
. It is not difficult to see that
for all
and
,
for all
. Moreover,
,
for all
and
. Hence,
and
for all
. Invoking Lemma 1, we have
Assume that
. By Lemma 1, we have
We may assume without loss of generality that
Noting that
and
for all
. This together with (
8) yields that
for all
, which is equivalent to that
for all
. This leads to
and finishes the proof of part (i).
It remains to prove part (ii). Without loss of generality, we may assume that
, where
and
. Clearly,
and
for all
. For
, we have that
,
and
for all
. Clearly,
for all
and
,
for all
. Invoking Lemma 1, we have
Assume that
. We get by Lemma 1 that
We may assume without loss of generality that
Noting that
. Moreover, if
for some
, then
. Therefore, from (
9) we see that there exists
such that
and
for all
. Assume that there exist
such that
. In this case we have
,
and
. Consequently,
which is a contradiction. Hence, we have
and
for
. So
. This completes the proof of part (ii). □
It should be pointed out that parts (i) and (ii) in Theorem 2 show that the -norm of can determine the property of graph . However, the following proposition tells us that the -norm of cannot determine the concrete graph generally.
Proposition 3. Let . There exist two graphs and with such that .
Proof. Let
, where
and
. Given
, one can easily check that
Then we get by Lemma 1 that
Let
, where
and
. It is clear that
,
for all
. Then we have
Invoking Lemma 1, we have
Observing that . This proves Proposition 3. □
4. Optimal Estimates for with
This section is devoted to presenting some positive results for the with . Before formulating the main results, let us give the following observation, which is useful in our proof.
Lemma 2. Let be two normed spaces and let be a sublinear operator, with . Then the following is valid: At first, we present the -norm for with .
Proof. At first, we shall prove part (i). Without loss of generality, we may assume that
, where
and
. Clearly,
and
,
for all
. It follows that
, which gives
Given a function
, we write
Invoking Lemma 2, one has
For a given sequence
with
and all
. We set
By the Jensen’s inequality we have
for all
since
. Therefore, we have
Next, we prove part (ii). Let
with each
. If
for all
, then
for all
. It follows that
. Otherwise, there exists
such that
. Without loss of generality we may assume that
Applying the AM-GM inequality, one finds
for all
, where the above equality is attained if and only if
for all
. This together with (
11) implies that
for all
, were the first equality in (
12) is attained if and only if
for all
. Assume that
for all
and some
, then
Combining (
13) and (
12) implies that
for all
. Here
for all
and some
. Let us consider two cases:
- (i)
If
, then
. We get from (
14) that
- (ii)
If
, then
. Observing that
is equivalent to
Here the equality in (
15) is attained if and only if
for all
and
for all
. In light of (
14) and (
15) we would have
Here the equality in (
16) is attained if and only if
for all
and
for all
. Let
,
. One can easily check that there exists a unique
such that
, where
In particular, for fixed
, let
, where
for all
and
for all
. One can easily check that
This together with (
17) yields the conclusion of part (ii). □
As applications of Theorem 3, we get
Corollary 1. - (i)
If , then . Moreover, if and only if .
- (ii)
If , then . Moreover, if and only if .
- (iii)
If , then . Moreover, if and only if .
Proof. Let and be given as in the proof of Theorem 3. When and , we have and .
When
, if
, then
and
. If
, then
and
. It is clear that
. Therefore, applying Theorem 3 we get
We note that the equality in (
18) is attained if and only if
. Actually, let
and
be defined by
and
. One can easily check that
and
. Therefore,
which together with (
18) yields that
When
. If
, then
and
. If
, then
and
. If
, then
and
. Therefore, we get by Theorem 3 that
It should be pointed out that the equality in (
19) is attained if and only if
. This proves part (ii) and completes the proof. □
The following result presents the estimates for with .
Proof. At first, we shall prove part (i). We may assume without loss of generality that
, where
and
. It is obvious that
,
and
for all
. Moreover,
,
. Hence,
Fix
with
, we can write
Therefore, to prove (
20), it suffices to show that
for any sequence
with
.
Given a sequence with , we consider two cases:
- (a)
If
. Then
This proves (
21) in this case.
- (b)
If
. By the Jensen’s inequality, we have
This proves (
21) in this case.
Next, we prove part (ii). Let
with each
and
. Without loss of generality we may assume that
Assume that
. Then we have
Here the equality in (
22) is attained if and only if
for all
and
for all
. Moreover,
satisfy
and
. Please note that the AM-GM inequality holds:
for all
, where the above equality holds if and only if
. This combines with (
22) leads to
for all
. Here the equality in (
23) is attained if and only if
. There exists a unique
such that
where
It follows from (
22)–(
24) that
Here the equality in (
25) is attained if and only if
for all
and
for all
. Moreover,
and
. This proves part (ii). □
As applications of Theorem 4, we get
Corollary 2. - (i)
If , then . Moreover, if and only if .
- (ii)
If , then . Moreover, if and only if .
Proof. At first, we prove part (i). For convenience, we set
Let
be given as in (
24). When
. If
, then
and
. If
, then
and
. Hence, we get by Theorem 4 that
where the equality in (
26) is attained if and only if
.
We now prove part (ii). When
. If
, then
and
. If
, then
and
. If
, then
and
. Invoking Theorem 4, we get
where the equality in (
27) is attained if and only if
for all
. This proves part (ii). □
Remark 2. Some challenging questions are to find the sharp constants for with and .
To obtain some sharp constants for
in the range
, we consider the following restricted-type estimate:
where
. From the definition we see that
We have the following estimate for .
Theorem 5. Let and . Then Proof. Without loss of generality, we may assume that , where and . For with . Please note that .
We consider two cases:
Case 1: .
Case 2: .
This yields the conclusion of Theorem 5. □
Remark 3. Let with and and . Then
(i) When , then if and only if for some .
(ii) When , then if and only if .
Proof. Without loss of generality, we may assume that , where and . For with . It is clear that . We consider two cases:
Case 1: .
Case 2: .
This proves Theorem 6. □
Remark 4. Let with and and . Then
- (i)
When , then if and only if .
- (ii)
When , then if and only if for some .