Abstract
In this study, we apply Hölder’s inequality, Jensen’s inequality, chain rule and the properties of convex functions and submultiplicative functions to develop an innovative category of dynamic Hardy-type inequalities on time scales delta calculus. A time scale, denoted by is any closed nonempty subset of In time scale calculus, results are unified and extended. As particular cases of our findings (when ), we have the continuous analogues of inequalities established in some the literature. Furthermore, we can find other inequalities in different time scales, such as which, to the best of the authors’ knowledge, is a largely novel conclusion.
Keywords:
Hardy-type inequalities; time scale delta calculus; Hölder’s inequality; Jensen’s inequality; convex functions; submultiplicative functions MSC:
26D10; 26D15; 34N05; 47B38; 39A12
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 if
In 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
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, then
where
Proof.
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). □
Corollary 2.
If s.t. is nonincreasing, , then and
where Here, we used that for So, and
This indicates that (31) holds with
Remark 3.
If , s.t. , , then and
where
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). □
Corollary 3.
Let , s.t. φ is convex and . Then, and
where Here, we used that for So, and
This 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.
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.
Author Contributions
Investigation, software and writing—original draft, H.M.R., A.I.S. and B.A.G.; supervision, writing—review editing and funding, H.M.R., M.A. and M.Z. All authors have read and agreed to the published version of the manuscript.
Funding
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through the large group Research Project under grant number RGP 2/414/44.
Data Availability Statement
Not applicable.
Acknowledgments
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through the large group Research Project under grant number RGP 2/414/44.
Conflicts of Interest
The authors declare no conflict of interest.
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