Abstract
Different types of mathematical inequalities have been largely analyzed and employed. In this paper, we introduce improvements to some Ostrowski type inequalities and present their corresponding proofs. The presented proofs are based on applying the celebrated Hayashi inequality to certain functions. We provide examples that show these improvements. Illustrations of the obtained results are stated in a probability framework.
MSC:
26D15
1. Introduction and Background
A number of inequalities have been widely studied and used in different contexts [1]. For instance, some integral inequalities involving the Taylor remainder were established in [2,3]. Sharp Hermite–Hadamard integral inequalities, sharp Ostrowski inequalities and generalized trapezoid type for Riemann–Stieltjes integrals, as well as a companion of this generalization, were introduced in [4,5,6], respectively. In addition, some authors provided Grüss type inequalities in one and several variables [7,8,9]. Specifically, Grüss type inequalities with multiple points for derivatives bounded by functions on time scales, Ostrowski–Grüss type inequalities of the Chebyshev functional with an application to one-point integrals, and Grüss type inequalities for vector-valued functions, were analyzed in [10,11,12], respectively. In [13], it was proved that an endpoint Kato–Ponce inequality holds and presented endpoint approximations for variants of this inequality.
In 1938, Ostrowski [14] established an interesting inequality for differentiable functions with bounded derivatives as follows. Let I be an interval and be a differentiable function on such that , for and , where denotes the interior of I, is the derivative of f, and stands for an integrable function on . If , then the inequality
holds for all . The constant defined in (1) is the best possible in the sense that it cannot be replaced by a smaller value. This inequality has been rewritten for arbitrary two-points in [15] and then generalized in [16]. For recent results and extensions concerning the Ostrowski inequality, we refer the reader to the comprehensive book [17] and the recent survey [18].
The celebrated Hayashi inequality [19] (see also [1], pp. 311–312), which is presented in the following theorem, is one of the most important inequalities that has been utilized to develop some Ostrowski type inequalities.
Theorem 1.
Let be a nonincreasing function on and an integrable function on , with , for all . Then, the inequality
holds, where and B is a positive real constant.
The Hayashi inequality is a generalization of the Steffensen inequality [20], which holds under the same conditions with in the expression given in (2). To observe the importance and applications of the Hayashi inequality, the expression stated in (2) was used to prove three Ostrowski type inequalities as presented in the following theorem.
Theorem 2.
Let be an absolutely continuous function on , with , and being integrable on . Then, we have that:
- (i)
- for all , with the equality with respect to (3) being satisfied when , for ;
- (ii)
- for all ; and
- (iii)
- for all , where .
Same versions of the inequalities given in (3)–(5) for general absolutely continuous functions on , with , were proved. Note that the upper bounds of the inequalities stated in (3)–(5) are better than the same inequalities presented in the literature [6,21,22,23,24,25]. In [26], it was proved a generalized Ostrowski inequality for differentiable functions defined on an interval expressed as
for all and , with .
In [27], the following perturbed version of the inequality stated in (6), for differentiable functions satisfying , for all , was proved:
for . The best constant of the inequality given in (6) is occurring when . However, this constant becomes if one employs the inequality defined in (7), which means that inequality presented in (7) is better than the inequality expressed in (6). For more information about the above inequalities, the reader is referred to [22,27,28,29] and the references therein.
The objective of this work is to improve the inequalities stated in (3)–(7). Then, we obtain better bounds for such inequalities. Our proofs for these inequalities are based on applying the Hayashi inequality formulated in (2). We give some examples that show these improvements. Hence, an application of this inequality in a probability framework is performed, as well as its role in constructing and improving some old inequalities.
The remainder of this paper is organized as follows. In Section 2, we provide the main results of this investigation and examples that show the improvements that we obtain. Section 3 presents applications of our results in a probability setting. We end this paper with brief conclusions about our study in Section 4.
2. Main Results
We begin with a generalization of the inequality established in (3) in the following theorem.
Theorem 3.
Under the assumptions of Theorem 2, we reach
for all . In particular, if in the inequality given in (8), we get
for all , where .
Proof.
Fix . Seeking simplicity to reach our proof, we divide it into four steps as follows.
Now, we attain at
Then, we obtain
Then, we obtain
Now, we have
Adding the inequalities formulated in (13), (18), (23) and (28), we reach an inequality of the form that is, . Thus, we arrive at
which gives the first inequality stated in (8). The second inequality defined below the expression stated in (8) can be proved by considering the function . Then, , so that , which completes the proof of the theorem. □
A generalization of the inequality given in (8) is incorporated in the following corollary.
Corollary 1.
Let be an absolutely continuous function on , with , and being integrable on . Then, we have
for all . In particular, for , we obtain
for all , where .
Proof.
It may be established by repeating the proof of Theorem 3, with , for . □
Some cases of the inequality stated in (29) are deduced in the following remarks.
Remark 1.
Remark 2.
Remark 3.
Remark 4.
Let in the inequality established in (29). Then, we reach
for all . In particular, if in the inequality presented in (30), then we arrive at
where . Thus, the inequality stated in (30) can be re-written for as
which gives an approximation error for the Gauss–Legendre quadrature rule of 3rd order; that is,
It is helpful to remember that the error term of the Gauss–Legendre quadrature rule involves a 5th degree derivative, so that this rule can precisely integrate polynomials of 5th degree. However, if the 5th derivative of a given function is either unbounded or does not exist, then we cannot apply it. Using our most recent approximations, we can apply the Gauss–Legendre quadrature of 3rd order to continuous differentiable functions (that is, with only a first bounded derivative) and an absolute error less than , where . This is an elegant advantage of our result.
Example 1.
Let , for . Clearly, does not exist (since the 5th derivative is unbounded). Thus, we cannot apply the Gauss–Legendre quadrature of 3rd order. However, as noted in Remark 4, one can find , and then
Note that the exact value of the integral stated in Equation (31) is equal to . Moreover, the absolute error is equal to , which is less than .
An improvement of the inequality defined in (6) can be deduced by applying the Hayashi inequality as presented in the following theorem.
Theorem 4.
Under the assumptions of Theorem 3, we have
for all , where , and for all . As a particular case, a Simpson type inequality is deduced once we choose and . Hence, we obtain
Proof.
Fix . Seeking simplicity to reach our proof, we divide it into four steps as follows.
Step 1: Let and . Applying the Hayashi inequality stated in (2), setting and , we reach
where Moreover, we have
Note that
Now, defining
Corollary 2.
Under the assumptions of Corollary 1, we have
where and , for all . In a particular case, a Simpson type inequality is deduced once we choose and . Thus, we obtain
Proof.
It can be established by repeating the proof of Theorem 4, with and . □
Remark 5.
Let in the inequality stated in (43). Then, we obtain
for all , where . In a particular case, a Simpson type inequality is deduced once we choose and . Thus, we reach
which gives an approximation error for the Simpson quadrature rule; that is,
Note that the error term of the Simpson quadrature rule involves a 4th degree derivative, so that this rule allows us to integrate polynomials of 4th degree exactly. However, if the 4th degree derivative of a given function is either unbounded or does not exist, then we cannot apply it. Hence, the approximation given in Equation (44) permits us to apply the Simpson quadrature rule for continuous differentiable functions (that is, has a first bounded derivative only) with absolute error less than , where . Note that this is another elegant advantage of our result.
Example 2.
Let I be a real interval such that . Consider the function , for . Clearly, does not exist (since the 4th degree derivative is unbounded). Thus, we cannot apply the Simpson quadrature rule. However, as noted in Remark 5, one can find that and
Note that the exact value of the integral presented in Equation (45) is equal to . Moreover, the absolute error is equal to , which is less than .
Theorem 5.
Under the assumptions of Theorem 3, we have
for all and , where .
Proof.
First, note that
Then, fix . Seeking simplicity to reach our proof, we divide it into four steps as follows.
Step 1: Let and . Applying the Hayashi inequality stated in (2), setting and , the inequality given in (37) holds.
Observe that
Now, we reach
A generalization of the inequality considered in (46) is incorporated in the following corollary.
Corollary 3.
Under the assumptions of Theorem 5, we have
where and , , for all .
Proof.
It can be obtained by repeating the proof of Theorem 5, with and . □
Remark 6.
Remark 7.
Let in the inequality formulated in (57). Then, we obtain
for all . In particular, if in the inequality given in (58), we arrive at
where . The inequality formulated in (59) gives an approximation error for the Gauss–Legendre quadrature rule of 2nd order; that is,
Observe that the error term of the Gauss–Legendre quadrature rule involves a 3rd degree derivative, so that this rule enables us to integrate polynomials of 3rd degree exactly. However, if the 3rd derivative of a given function is either unbounded or does not exist, then we cannot apply it. Thus, our last approximation permits us to apply the Gauss–Legendre quadrature rule of 3rd order for continuous differentiable functions (that is, has a first bounded derivative only) with absolute error less than , where . This is another elegant advantage of our result.
Example 3.
We consider as given in Example 1. As noted in Remark 7, one can find that and
Then, choosing , we obtain
which is very close to the exact value . Moreover, the absolute error is equal to , which is less than . Observe that this gives a better approximation than Example 1.
3. Applications in a Probability Setting
Let Y be a random variable taking values in the interval , with cumulative distribution function , for . Then, we have the following theorem.
Theorem 6.
With the assumptions of Corollary 1 for , we have
for all , where , and is the expected value of Y.
Proof.
In the proof of Corollary 1, let and consider that
that is,
Therefore, the required inequality follows and the proof is completed. □
Theorem 7.
With the assumptions of Corollary 2 for , we obtain
for all , where .
Proof.
We must apply Corollary 2 to and the rest of the proof is similar to that of Theorem 6. □
4. Concluding Remarks
In this paper, we have stated and proved refinements as well as introduced improvements to some Ostrowski type inequalities. The presented proofs are based on employing the celebrated Hayashi inequality with certain functions. We have provided examples that show these improvements. Applications in a probability framework of the obtained results were considered as well. These results may be helpful for other different contexts and applications, such as, for example, in the treatment of errors in numerical approximations.
Author Contributions
Formal analysis: M.W.A., C.C., V.L. and C.M.-B.; investigation: M.W.A. and C.C.; writing—original draft: M.W.A., C.C. and C.M.-B.; writing—review and editing: V.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported partially funded by FONDECYT grant number 1200525 (V.L.) from the National Agency for Research and Development (ANID) of the Chilean government under the Ministry of Science, Technology, Knowledge, and Innovation.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors would also like to thank three reviewers for their constructive comments which led to improvement in the presentation of the manuscript.
Conflicts of Interest
The authors declare that they have no conflict of interest.
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