Abstract
In this paper, we present some Ostrowski–Grüss-type inequalities on time scales for functions whose derivatives are bounded by functions for k points via a parameter. The 2D versions of these inequalities are also presented. Our results generalize some of the results in the literature. As a by-product, we apply our results to the continuous and discrete calculus to obtain some interesting inequalities in this direction.
JEL Classification:
26D10; 26D15; 54C30
1. Introduction
In 1997, Dragomir and Wang [] proved that if is a differentiable function such that there exist constants with for all then we have:
for all The above inequality is known in the literature as the Ostrowski–Grüss-type inequality. This inequality has been improved (see [,]) and generalized (see [,,,,]) in several different ways. In particular, the authors in [,] obtained some Ostrowski–Grüss-type inequalities with the derivatives bounded by functions instead of scalars. Since the introduction of the theory of time scales by the German mathematician Stefan Hilger in his Ph.D thesis [], several integral inequalities have been extended to time scales by many authors (see [,,]). For some extensions of (1) to time scales, we refer the reader to the papers [,,,,,,]. Recently, Nwaeze et al. [] obtained the following generalization of Inequality (1) on time scales for points via a parameter.
Theorem 1
where . Inequality (2) is sharp in the sense that the constant 1/2 on the right-hand side cannot be replaced by a smaller one.
([], Theorem 13). Suppose that:
- 1.
- is a partition of the interval for
- 2.
- is points so that and
- 3.
- is a differentiable function; is rd-continuous; and there exists such that for all . Then, the following inequality holds,
Motivated by the results in [,], the goal of this article is to provide some Ostrowski–Grüss-type inequalities on time scales for functions whose derivatives are bounded by functions. Our findings give a broader view of some established published results.
2. Time Scale Essentials
In this section, we collect basic time scale concepts that will aid in better understanding of this work. For more on this subject, we refer the interested reader to Hilger’s Ph.D. thesis [], the books [,], and the survey [].
Definition 1
([]). A time scale is an arbitrary nonempty closed subset of the real numbers.
We assume throughout that has the topology that is inherited from the standard topology on . It is also assumed throughout that in , the interval means the set for the points in . Since a time scale may not be connected, we need the following concept of jump operators.
Definition 2
([]). For each , the forward jump operator is defined by and the backward jump operator is defined by .
Definition 3
([]). If , then we say that t is right-scattered, while if , then we say that t is left-scattered. Points that are right-scattered and left-scattered at the same time are called isolated. If , then t is called right-dense, and if , then t is called left-dense. Points that are both right-dense and left-dense are called dense.
Definition 4
([]). The mapping defined by is called the graininess function. The set is defined as follows: if has a left-scattered maximum then otherwise,
If , then and when , we have
Definition 5
([]). Let and . Then, we define to be the number (provided it exists) with the property that for any given , there exists a neighborhood U of t such that:
We call the delta derivative of f at Moreover, we say that f is delta differentiable (or in short, differentiable) on provided exists for all The function is then called the delta derivative of f on
In the case , In the case , which is the usual forward difference operator.
Theorem 2
([]). If are differentiable at , then the product is differentiable at t and:
Definition 6
([]). The function is said to be rd-continuous on provided it is continuous at all right-dense points and its left-sided limits exist at all left-dense points . The set of all rd-continuous function is denoted by ,. Furthermore, the set of functions that are differentiable and whose derivative is rd-continuous is denoted by ,.
It follows from ([] Theorem 1.74) that every rd-continuous function has an anti-derivative.
Definition 7
([]). Let be a function. Then, is called the anti-derivative of f on if it satisfies for any In this case, the Cauchy integral is defined by:
Theorem 3
([]). Let ,, , and . Then:
(1)
(2)
(3) .
(4)
(5) If on then:
Definition 8
([]). The polynomials , are defined recursively as thus: for all , , and for all .
In view of the above definition, we make the following remarks that will come handy in the sequel (see [] Example 1.102).
- -
- For
- -
- For .
3. Main Results
To prove our 1D results, we will need the following lemma given in [].
Lemma 1
(Generalized Montgomery identity with a parameter). Suppose that:
- 1.
- is a partition of the interval for
- 2.
- is points so that , and
- 3.
- is a differentiable function.
Then, we have the following equation:
where:
provided for each and belong to
Remark 1.
It is easy to see that for , and , we recover the classical Montgomery identity on time scales.
Theorem 4.
Suppose f satisfies the conditions of Lemma 1. If there exists functions with for all , then we have the inequality:
provided for each and belong to
Proof.
First, we observe that:
Using (6), we get:
From the condition that , one obtains:
for all . Now, from Lemma 1, we have:
and:
Theorem 5.
Suppose f satisfies the conditions of Lemma 1. If there exists functions with for all , then we have the inequality:
where and provided for each and belong to
Proof.
Using the definition of we get:
Therefore,
By the time scale version of the fundamental theorem of calculus, one gets:
and the identity:
From the condition that , we have that:
for all . Now, by Lemma 1, we obtain:
The two-variable time scale calculus and multiple integration have been introduced in [,]. In what follows, we provide the two-dimensional versions of Theorems 4 and 5. To do this, we need the following two-dimensional version of Lemma 1. This lemma is given in [], and it follows quite easily by using Lemma 1, so the proof is omitted.
Lemma 2
(2D Generalized Montgomery Identity with a parameter). Let with . Suppose that:
- 1.
- is a partition of the interval for and is a partition of the interval for ;
- 2.
- is points so that and , , and ;
- 3.
- is a differentiable function.
Then, we have the identity:
where and:
Theorem 6.
Suppose the function f satisfies the conditions of Lemma 2 and there exists functions such that for all . Then, we have the inequality:
Proof.
We observe that:
Under the condition that for all , we deduce that:
for all . Furthermore, we have that:
and:
Theorem 7.
Suppose the function f satisfies the conditions of Lemma 2 and there exists functions such that for all . Then, we have the inequality:
where .
4. Applications
In this section, we apply Theorems 4 and 6 to the continuous and discrete calculus to obtain some interesting inequalities. Similar results can be obtained from Theorems 5 and 7.
Corollary 1.
If we take in Theorem 4, then the following inequality holds:
Remark 2.
Putting then Corollary 1 reduces to Theorem 2.1 in [].
Corollary 2.
Let in Theorem 4, and suppose:
(1) , where , is a partition of the set
(2) is a set of points such that for , and ;
(3) .
Then, we have the inequality,
Corollary 3.
If we let in Theorem 6, then we have the inequality:
Proof.
The proof follows by setting in Theorem 6 and using the fact that:
□
Remark 3.
By substituting , then the inequality in Corollary 3 reduces to the inequality (with some minor error in the left-hand side) in ([] Theorem 2.3).
Corollary 4.
Let be a function, and suppose there exist functions such that
for all . Then, the following inequality holds.
where for all .
Proof.
The result follows by letting in Theorem 6. □
5. Conclusions
Some one-dimensional and two-dimensional Ostrowski–Grüss-type inequalities for functions whose derivatives are bounded by functions on time scales involving multiple points and a parameter have been presented. Some particular inequalities are obtained by applying Theorems 4 and 6 to the continuous and discrete calculus. Several other inequalities could be obtained by choosing different time scales with different values of the parameter Some related results on the Ostrowski-type inequalities can be found in [,,,,,,,,,,].
Author Contributions
S.K. and E.R.N contributed equally to this work.
Funding
This research received no external funding.
Acknowledgments
Many thanks to the three anonymous referees for their valuable comments and suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
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