In 1920, Hardy made the discovery of the discrete inequality [
1]. He claimed that
where
for
and the constant
is sharp.
In [
2], Theorem A, Hardy demonstrated the integral form of (
1) as follows: let
and
be integrable and convergent over
then
be integrable over
for each
and
Hardy inequalities (
1) and (
2) are the typical forms seen in many analysis textbooks. Since the initial Hardy-type inequality was introduced, more and more researchers have further generalized and refined these inequalities and applied it in various fields, such as dynamical systems, classical real, complex analysis, numerical analysis, qualitative theory of differential equations and their applications; see [
3,
4,
5,
6] for more details. In the following, we will give some of these findings that support and guide the contents of this work.
In [
7], the authors established that when
(
2) holds with the sign reversed. They specifically demonstrated that if
and
then
unless
.
In [
8], G. H. Hardy demonstrated the following generalization of (
2) as
where
and
is sharp. Additionally, in the same paper [
8], he showed that if
and
is an integrable function, then
and
Moreover, in [
9], Knopp obtained that
where
and
e is sharp. (
7) is referred to as a Knopp-type inequality (also known as Pólya-Knopp inequality). (
7) can be thought of as a limit of (
2) for approaching to infinity; therefore, for the function
we have
Indeed,
while
as
If we replace
by
in (
7), then
where
Therefore, we have from (
7) by replacing
with
that
In [
10], S. Kaijser et al. generalized (
8) with a convex function
on
and proved that
where
is a locally integrable function.
In [
11], the authors proved a generalization of (
9) with two weight functions as follows: if
s.t.
is locally integrable in
,
is convex on
where
then
holds for all integrable functions
s.t.
, and
v is
The inequality (
9) has been proven using convex functions, and this is not a special characteristic of these functions to produce this modern inequality. There is a question centered in our imagination, which is whether this inequality is expected to be proven for new conditions other than the previously mentioned or not.
Yes, this inequality has been proven for non-decreasing functions. In particular, in 2012, Sulaiman [
12] established and generalized (
9) and proved that if
are nonnegative and nondecreasing functions, then
where
In the same work [
12], he demonstrated that if
such that
is non-increasing,
and
is defined as in (
12), then
Additionally, he proved that if
and
such that
is convex, then
Recently, there are more new results about Hardy’s inequality via other kinds of functions that have been introduced to establish Hardy-type inequalities, such as convex functions [
13], superquadratic functions [
14,
15,
16], submultiplicative functions [
17] and so on.
In 2005, P. Řehák presented the time scale form of Hardy’s inequality [
18] in the following manner: assume
is a time scale and define
If
then
unless
. If, in addition,
as
then
is sharp.
In ([
19], Theorem 7.1.3), the authors mentioned the following Hardy-type inequality for a convex function on
where
is continuous and convex,
,
is a delta integrable function s.t.
, and
v is
In [
20], T. Donchev et al. obtained the following Hardy-type inequality involving multivariate convex functions on
where
are two time scale measure spaces,
is a closed convex set,
,
is a convex function and
s.t.
is a
-integrable function.
Since the first Hardy-type inequality on time scales was proposed, many researchers have further generalized and refined this inequality (see, [
21,
22,
23,
24]). Recently, there are more new results about the Hardy inequality via other kinds of time scale calculus, such as time scale delta integral [
25] and time scale nabla integral [
26,
27].
The purpose of this paper is to advance the study of dynamic inequalities of Hardy’s type on
. Specifically, we will prove and generalize the inequalities (
11), (
13) and (
14) via delta integral on the theory of time scale calculus. Time scale calculus theory is used to combine discrete and continuous analysis into a single comprehensive form. This approach is also frequently applied to dynamic inequalities.
The paper is divided into two sections: the first section includes fundamentals and some lemmas on time scale calculus, the second section includes our main results. Ultimately, in the third section, we give a few examples of our fundamental findings obtained.
1. Preliminaries
In [
28], Bohner and Peterson defined the forward jump operator
and the graininessfunction
by
and
, respectively.
In the following, we use the notations for any function and for any interval on where I is any interval on
Definition 1 ([
28])
. is -continuous if it is continuous at right-dense points in , and its left-sided limits exist (finite) at left-dense points in . The collection of -continuous functions is symbolized as . Definition 2 ([
28])
. Assume and We define the delta derivative to be the number if it exists as follows: for any , there is a neighborhood for some of z, s.t. Theorem 1 ([
28])
. Let be differentiable at . Then,- 1.
is differentiable at z and the “product rule” holds.
- 2.
If , then is differentiable at z and the “quotient rule” holds.
Theorem 2 (
Chain Rule ([
28], Theorem 1.90))
. Assume is continuous, is delta differentiable on and is continuously differentiable; then, Definition 3 ([
28])
. is an antiderivative of ifIn this case, the delta integral of η is Theorem 3 ([
28])
. Every rd-continuous function has an antiderivative, and if , then Theorem 4 ([
28])
. If and , then- 1.
.
- 2.
.
- 3.
- 4.
If then
Lemma 1 (
Integration by Parts [
29])
. If and then Lemma 2 (
Hölder’s Inequality [
29])
. If and thenwhere and (18) is reversed if or Lemma 3 (
Jensen’s Inequality)
. Assume and . If and is continuous and convex, then Definition 4 ([
30])
. is convex on if and all such that Lemma 4 ([
30])
. Let be a continuous function. If exists on and then φ is convex. Definition 5 ([
31])
. is submultiplicative if The following lemma is new and needed to prove our essential results.
Lemma 5. Let and be a convex function on s.t. Then, is non-decreasing.
Proof. Applying the derivative of the quotient rule on
we see that
where
Applying the derivative of the product rule on
we observe that
From (
21), we have that
Substituting (
22) into (
23), we obtain
Since
is convex on
(i.e.,
), then we have from (
24) that
which indicates that
is non-decreasing. Since
, we see that
Since
we have from (
21) that
and then
Substituting the last inequality into (
20), we can obtain
i.e., the function
is non-decreasing. □
2. Main Results
During the work, we will make the assumption that the functions are rd-continuous functions and that the integrals under consideration exist.
Theorem 5. Suppose and are nondecreasing functions, thenwhere Proof. From (
26), we observe that
Note that
Let
Then,
(where
is a nondecreasing function), and thus, (
28) becomes
Since
is a nonnegative and nondecreasing function, we obtain from (
29) that
Substituting (
30) into (
27), we obtain that
which is (
25). □
Remark 1. If and we obtain (11), proved by Sulaiman [12]. Corollary 1. Let and be nondecreasing sequences. Then, and Theorem 6. Suppose s.t. is non-increasing, and Let Ω be defined as in (26), and assume that there exists a constant s.t.Then, Proof. From (
26), we have
Using Hölder’s inequality on
with
and
we have that
Substituting (
34) into (
33), we obtain that
Applying the chain rule on
for
we see that
Since
, we have that
and then
Substituting (
36) into (
35), we obtain
Applying the integration by parts on
with
and
we see that
where
Since
we have from (
38) that
Since
is non-increasing, we see that
Substituting (
40) into (
39), we obtain that
Applying the chain rule on
we see that
where
Since
and
we observe that
and then we have from (
42) that
Integrating the last inequality over
from
z to
(note that
and
), we obtain
Substituting (
43) into (
41), we see that
Substituting (
44) into (
37), we observe that
Substituting (
31) into (
45), we see that
which is (
32). □
Remark 2. If and then (31) holds with the equality for and obtain (13), proved by Sulaiman [12]. Corollary 2. If s.t. is nonincreasing, , then andwhere Here, we used that for So, andThis indicates that (31) holds with Remark 3. If , s.t. , , then andwhere Theorem 7. Assume and s.t. φ is convex. Suppose there exists a constant s.t.Then,where Ω is defined as in (26). Proof. Note that
Applying Jensen’s inequality, we see that
Substituting (
49) into (
48), we obtain
Applying Hölder’s inequality on
with
and
we have that
Substituting (
51) into (
50), we observe that
Applying the chain rule on
we see that
where
Since
and
we observe that
and then we have from (
53) that
Integrating (
54) over
from
a to
, we see that
Substituting (
55) into (
52), we observe that
Applying the integration by parts on
with
and
we see that
where
Since
we have from (
57) that
Substituting (
58) into (
56), we obtain
Applying the chain rule on
we observe that
where
Since
and
we have that
and then we obtain from (
60) that
Integrating the last inequality over
from
z to
we obtain
Substituting (
61) into (
59), we observe that
Using (
46), the last inequality becomes
which is (
47). □
Remark 4. If and then (46) holds with the equality for and obtain (14), proved by Sulaiman [12]. Corollary 3. Let , s.t. φ is convex and . Then, andwhere Here, we used that for So, andThis indicates that (46) holds with Theorem 8. Assume and Let s.t. φ be a convex and submultiplicative function with . Then,where Ω is defined as in (26). Proof. Note that
Since
is a submultiplicative function, we have from (
63) that
Applying Jensen’s inequality, we see that
Substituting (
65) into (
64), we obtain
Applying the integration by parts on
with
and
we see that
where
Since
we have from (
67) that
Since
we observe that
and
and then we have from (
68) that
Applying Lemma 5 where
is non-decreasing, we have for
that
Substituting (
70) into (
69), we observe that
Applying the chain rule on
we see that
where
Since
and
we obtain
Integrating the last inequality over
from
z to
we obtain
Substituting (
72) into (
71), we obtain that
Substituting (
73) into (
66), we obtain
which is (
62). □
3. Examples
In this section, we give some examples to demonstrate our findings obtained.
Example 1. In Theorem 5, if , and then R.H.S. of (25) becomesThe L.H.S. of (25) becomesFrom (74) and (75), we observe that (25) holds with the equality. Example 2. In Theorem 5, if and thenand then the R.H.S. of (25) becomesSinceThen, the L.H.S. of (25) becomesand then we have for thatFrom (76) and (77), we observe thatwhich indicates that (25) holds. 4. Discussion and Conclusions
In this study, we demonstrate several dynamic inequalities of the Hardy-type for convex, submultiplicative functions and monotone functions using delta calculus. These findings are proven by the chain rule formula, Hölder’s inequality and Jensen’s inequality. In the future, we will be able to present such inequalities by employing nabla calculus, diamond- calculus for and quantum calculus. It will be very fascinating to present similar inequalities on time scales using Riemann–Liouville type fractional integrals. Additionally, we will establish these inequalities for weighted functions on time scales and also for different spaces. In our next paper, we plan to present new results involving other well-known inequalities such as Hermite, Copson and Hilbert, among others. Furthermore, we can generalize the dynamic inequalities discussed in this article in two or more dimensions. In conclusion, this study has contributed significant findings to the field of dynamic inequalities on time scale calculus, but there is still much to explore. By addressing the suggested future research directions, scholars can continue to deepen their understanding of Hardy-type inequalities and their broader implications. This research is a stepping stone towards further advancements in the field.