1
1 Introduction
The classical Hardy-Hilbert inequality for positive functions f, g and two conjugate parameters p and q such that
is given as Hardy et al. (1952)
(1.1)
provided that the integrals on the right-hand side are convergent. The constant
is the best possible, in the sense that it cannot be decreased any more. Inequality (1.1) has several applications in mathematical analysis. There are many extensions of inequality (1.1), see for example the results in Hardy et al. (1952), Azar (2011), Yang et al. (2003), Yang (1991) and Mitrinović et al. (1991). A best extension of (1.1) was given in Krnic et al. (2005) as
(1.2)
where
is the best possible constants (
is the beta function),
,
and
. For
,
and
the reverse form of (1.2) is also valid. Recently, in Azar et al. (2014) a differential form of the Hilbert’s inequality was obtained, namely
(1.3)
where the constant
is the best possible. Here,
is the gamma function,
. Note that if we let
, and
we obtain the famous Hilbert’s inequality. Therefore, one may consider inequality (1.3) as an extension of the Hilbert’s inequality.
In this paper by introducing some parameters we obtain an extension to inequality (1.3) and the reverse form of it. The given inequalities as we will see are extensions of (1.2).
2
2 Preliminaries and Lemmas
We will frequently use the gamma and beta functions which are defined respectively as
(2.1)
(2.2)
The technique of proving the main results is based on the following relation
(2.3)
The next two lemmas are also important tools for the proofs of the main results:
Lemma 2.1
Let
, the derivatives
exists and positive and
where
denotes the space of all Lebesgue integrable functions (If
we obtain L), Moreover, suppose that
, then for
we have
(2.4)
Lemma 2.2
Let
, Let
be as in Lemma 2.2, then for
and
, we get
(2.5)
Proof
Using integration by parts n times, we get
Applying reverse Hölder inequality, then use (2.1), we obtain
this leads to (2.5). □
3
3 Main results
In this section, we give the main two inequalities of this paper, the first one is an extension of (1.3), and the second one is the reverse form.
Theorem 3.1
Let
and
satisfies the conditions of Lemma 2.1 such that
,
, then:
(3.1)
where
is the best possible constant.
Proof
If we use the relation (2.3) and apply the Hölder’s inequality, we obtain
(3.2)
Using Lemma 2.2 for
, and then for
we obtain respectively,
and
If we substitute these two inequalities in (3.2) we get
where
. Now, let
and
, we obtain
. Hence, Inequality (3.1) is proved. It remains to show that the constant C is the best possible. To do that we define two functions:
and
where
. Thus, we find
,
, and
,
.
Suppose that
is not the best possible, then there exist
such that
(3.3)
On the other hand, we obtain (the constant
)
(3.4)
If we consider (3.3), (3.4) and the relation between the Beta and Gamma functions
and let
, we get
which is in contradiction with our assumption. The theorem is proved. □
Theorem 3.2
If
,
and
satisfies the conditions of Lemma 2.1 such that
, and
, then we have the reverse form of (3.1) as
(3.5)
where C as in Theorem 3.1 is the best possible constant.
Proof
Using (2.3) and the reverse Hölder inequality, we have
(3.6)
If we use Lemma 2.2 for
,
and then for
respectively, we find
and
If we substitute the last two inequalities in (3.6) and make some computations and then letting:
and
we arrive at inequality (3.5). To prove that the constant is the best possible, we define
and
as in the proof of Theorem 3.1. If C is not the best possible one, then there is a positive number
such that (3.6) is still valid as we replace C by
, then
(3.7)
On the other hand, we find
(3.8)
If we let
, from (3.7) to (3.8) we find
. the theorem is proved. □
Remark 3.3
If we put
in (3.1) we get
(3.9)
Note that if we set in (3.9)
under the condition
we obtain inequality (1.2) from the introduction. Similarly, we may obtain the reverse form of (1.2) from (3.5).