Abstract
By using Fink’s Identity, Green functions, and Montgomery identities we prove some identities related to Steffensen’s inequality. Under the assumptions of n-convexity and n-concavity, we give new generalizations of Steffensen’s inequality and its reverse. Generalizations of some inequalities (and their reverse), which are related to Hardy-type inequality. New bounds of Grss and Ostrowski-type inequalities have been proved. Moreover, we formulate generalized Steffensen’s-type linear functionals and prove their monotonicity for the generalized class of -convex functions at a point. At the end, we present some applications of our study to the theory of exponentially convex functions.
1. Introduction
Integral inequalities such as Hardy’s inequality, Steffensen’s inequality, and Ostrowski’s inequality are topics of interest of many Mathematicians since their pronouncement. Several generalizations of these inequalities have been proved for different classes of functions, such as convex functions, n-convex functions, and other types of functions, for example see [1,2,3,4]. Moreover, integral inequalities have been proved for different integrals, such as Jensen-steffensen inequality for diamond integral and bounds of related identities have been obtained in [5]. Other than that, Hardy’s inequality for fractional integral on general domains have been proved in [6].
Steffensen’s inequality was proved in [7]: if , with be a decreasing function and function f having range in , then
A massive literature dealing with several variants and improvements of Steffensen’s inequality can be seen in [8,9] and references therein. A well known generalization of Steffensen’s inequality has been presented in [4]. Several results of [4] have been recently generalized by using non-bounded Montgomery’s identity in [10]. To proceed further, we recall a nice generalization of Steffensen’s inequality proved by Pečarić, see [11].
Theorem 1.
Let be a increasing function (J is an interval in such that ) and be increasing and differentiable function.
- (i)
- If , then
- (ii)
- If , then (2) holds in reverse direction.
Remark 1.
We can consider f to be absolute continuous instead of differentiable function and the suppositions of Theorem 1 can also be weakened. In fact for an increasing function ψ, the function is well defined and satisfies at all except the set of points with measure zero. One can substitute in (2) (see [12] (Corollary 20.5)), provided that f is absolutely continuous increasing function, therefore
where the last inequality holds when . In [1], substitutions presented conclude that (3) yields (2) and generalization of a result proved by Rabier in [4], which gives (1).
Recently, Fahad et al. introduced new generalization [1] of (1) by extending the results of [4,11]. By using Hermite interpolation, several inequalities related to the results of [1,4,11] have also been proved in [13]. We consider the important conclusions given in [1].
Corollary 1.
Suppose , two differentiable functions with f non-decreasing as well, where J is an interval containing , and . If ψ is convex, then:
- (i)
- If f satisfies condition given in Theorem 1, then
- (ii)
- (4) holds in reverse direction, if f satisfies condition given in Theorem 1.
Corollary 1 gives (3) and therefore leads to (1), (2) and generalization of Rabier’s result in [4]. Next we narrate some further important results of [1].
Corollary 2.
Consider be differentiable convex function with and be another function.
- (i)
- If for every , then
- (ii)
- (5) holds reversely if for every .
Corollary 3.
Consider ψ and f as defined in Corollary 2 and let and denote .
- (i)
- If for every , then
- (ii)
- (6) holds reversely if for every .
Following two lemmas will be useful in our construction as well, see [14,15].
Lemma 1.
For a function , we have:
where
and
Lemma 2.
Let , then
and
where
Clearly,
Throughout the calculations in the main results, we will use corresponding to for , and for , we use and , respectively.
We also require the classical Fink’s identity given in [16]:
Lemma 3.
Let and , and is absolutely continuous on .
where is given by:
Divided differences are fairly ascribed to Newton, and the term “divided difference” was used by Augustus de Morgan in 1842. Divided differences are found to be very helpful when we are dealing with functions having different degrees of smoothness. The following definition of divided difference is given in [8] (p. 14).
Definition 1.
The nth-order divided difference of a function at mutually distinct points is defined recursively by
It is easy to see that (26) is equivalent to
The following definition of a real valued convex function is characterized by nth-order divided difference (see [8] (p. 15)).
Definition 2.
A function is said to be n-convex if and only if for all choices of distinct points , holds.
If this inequality is reversed, then ψ is said to be n-concave. If the inequality is strict, then ψ is said to be a strictly n-convex (n-concave) function.
Remark 2.
Note that 0-convex functions are non-negative functions, 1-convex functions are increasing functions, and 2-convex functions are simply the convex functions.
The following theorem gives an important criteria to examine the n-convexity of a function (see [8] (p. 16)).
Theorem 2.
If exists, then ψ is n-convex if and only if .
In this article, we use Fink’s identity, Montgomery identities, and Green functions to prove some identities related to Steffensen’s inequality. By using these identities we obtain a generalization of (4). In addition, we construct new identities which enable us to prove generalizations of inequalities (5) and (6) as one can obtain Classical Hardy-type inequalities from them, see [1]. We use Čebyšev functional to construct new bounds of Grss and Ostrowski-type inequalities. Finally, we give several applications of our work.
2. Main Results
For our convenience, we use the following notations and assumptions:
- () For , , let be n times differentiable function with absolutely continuous on .
- () For , , let be n times differentiable function with and absolutely continuous on .
The first part of this section is the generalization of (4). For this, we start with the following theorem:
Theorem 3.
Consider () with f be as in Corollary 1 then:
- (a)
- For , we have:
- (b)
- If , then
Proof.
□
From the next two theorems we get a generalization of Steffensen’s inequality and its reverse by generalizing (4) and its reverse.
Theorem 4.
Consider () with f be as in Corollary 1 and let
- (a)
- If ψ is n-convex, then for each (where for , we have:
- (b)
- If is n-convex, then for each j, (29) holds in the reverse direction.
Proof.
For each the function is convex and differentiable. Since f is non-decreasing with , therefore Corollary 1 gives On the other hand, if ψ is n-convex ( is n-convex), then Therefore, given assumption together with n-convexity of ψ implies . The rest follows from (27). □
Theorem 5.
Consider () for even n and f as in Corollary 1 . Then
Proof.
Now, we prove the following theorem which enables us to prove a generalization of (5).
Theorem 6.
Consider and let f be as in Corollary 2 then:
- (a)
- for .
- (b)
- If , then
- (c)
- (d)
- If , then
Proof.
Our next result gives a generalization of (5).
Theorem 7.
Consider (), f as in Corollary 2 and let
then the following hold:
Proof.
The proof is similar to that of Theorem 4 except using Theorem 6 and Corollary 2 . □
Theorem 8.
Consider () for even n and f be as in Corollary 2 . Then
Proof.
The proof is similar to that of Theorem 5 except using Theorem 7 and Corollary 2 . □
Next we give some generalized identities considering (6).
Theorem 9.
Consider and let f, λ and Λ be as in Corollary 3 then:
- (a)
- For , we have
- (b)
- If , then
- (c)
- (d)
- If , then
Proof.
We give a proof of our results by fixing , and other cases can be proved in a similar way. By using (7) and (17) for ψ and respectively and applying assumption , we get:
Since , therefore
The rest follows from (24). □
Next, we present a generalization of (6).
Theorem 10.
Consider and let f, λ, Λ be as in Corollary 3 and (31) holds, then:
Proof.
The proof is similar to that of Theorem 4 except using Theorem 9 and Corollary 3 . □
Theorem 11.
Consider for even n and let f, λ, and Λ be as in Corollary 3 . Then
Proof.
The proof is similar to that of Theorem 5 except using Theorem 10 and Corollary 3 . □
3. New Upper Bounds Via Čebyšev Functional
Consider the Čebyšev functional for two Lebesgue integrable functions given as:
Cerone and Dragomir in [17] proposed new bounds utilizing Čebyšev functional given as:
Theorem 12.
For and be an absolutely continuous function along with The following inequality holds
Theorem 13.
For be an absolutely continuous with and is an increasing function. The following inequality holds
The constants and are the optimal constants.
Now we utilize the above theorems to construct new upper bounds for our obtained generalized identities. For our convenience we denote
for . Consider the Čebyšev functional given as:
Grss type inequalities associated with Theorems 12 and 13 can be given as:
Theorem 14.
Under the assumptions of Theorem 3, let be absolutely continuous along with and } be defined as in (43). Then
where
Proof.
Employing Theorem 12 for the new functions, we get the required bound. □
Theorem 15.
Proof.
In the proof of Theorem 14, we have established that
Now applying Theorem 13 for , , we have
Now since
therefore the required bound in (46) follows. □
Ostrowski-type inequalities associated with generalized Steffensen’s inequality can be given as:
Theorem 16.
Under the assumptions of Theorem 3, let be a R-integrable function and consider pair of conjugate exponents from such that . Then, we have
The constant on the R.H.S. of (47) is sharp for and the best possible for .
Proof.
Fix }. Let us denote by
Using identity (27), we find
Applying Hölder’s inequality for integrals on the R. H. S. of (48), we obtain
which combined together with (48) gives (47).
For sharpness of the constant let us define the function ψ for which the equality in (47) holds.
For let ψ be such that
and for let
For , we shall show that
is the best possible inequality. Suppose that attains its maximum at . To start with first we assume that . For Θ small enough we define by
Then for Θ small enough
Now from inequality (49), we have
Since
the statement follows. In the case when , we define by
then the rest of the proof is the same as above. □
Remark 3.
Similar bounds of Grss and Ostrowski-type inequalities can be obtained by using Theorems 6 and 9.
4. Monotonic Steffensen’s-Type Functionals
The notion of -convex function at a point was introduced in [18]. In the current section, we define some linear functionals from the differences of the generalized Steffensen’s-type inequalities. By proving monotonicity of these functionals, we obtain new inequalities which contribute to the theory of more generalized class of functions, i.e., -convex functions at a point. Below is the definition of -convex function at point, see [18].
Definition 3.
Let be an interval, and . A function is said to be -convex at point ξ if there exists a constant such that the function
is n-concave on and n-convex on .
Pečarić et al. in [18] studied necessary and sufficient conditions on two linear functionals and so that the inequality holds for every function f that is -convex at point ξ. In this section, we define some linear functionals and obtained certain inequalities associated with these linear functionals. Let be even, be n times differentiable function with absolutely continuous on . Let and , where . Let and be increasing with for . For , we construct:
and
Theorem 5 enables for (and for ), provided that ψ is n-convex. Furthermore, Theorem 5 enables for (and for ), provided that is n-convex.
Theorem 17.
Let be as defined above and be -convex at a point ξ for even . If for all and for , where then:
for
Proof.
Since ψ is -convex, it follows from Definition 3 that there exist such that is n-concave on and n-convex on Therefore, for each , we have
Since , therefore , which completes the proof. □
Remark 4.
We may proceed further by defining linear functionals with the inequalities proved in Theorems 8 and 11. Moreover, by proving monotonicity of new functionals we extend the inequalities in Theorems 8 and 11.
5. Application to Exponentially Convex Functions
We start this section by an important Remark given as:
Remark 5.
By the virtue of Theorem 4 , for , we define the positive linear functionals with respect to n-convex function ψ as follows
Next we construct the non trivial examples of exponentially convex functions (see [19]) from positive linear functionals for ().
For this consider the family of real valued functions on given as
It is interesting to note that this is a family of n-convex functions as
Since is exponentially convex function, therefore the mapping is exponential convex and as a special case, it is also log-convex mapping. The log-convexity of this mapping enables us to construct the known Lyapunov inequality given as
for such that where
Remark 6.
We have not given the proof of the above mentioned results (see [19] for details). The Lyapunov inequality empowered us to refine lower (upper) bound for action of the functional on the class of functions given in (53) because if exponentially convex mapping attains zero value at some point it is zero everywhere (see [19]).
One can also consider some other classes of n-convex functions given in the paper [19,20] and can get similar estimations. A similar technique can also be employed by considering the results of Theorems 7 and 10.
6. Conclusions and Outlooks
In this article, we extended the pool of inequalities by proving generalizations of well-known Steffensen’s inequalities and their reverses. The inequalities proved in the main results provide generalizations of the results from [1,4,7,11]. Moreover, Hardy’s inequality is also one of the well-known inequalities. In this article, we also proved generalizations of inequalities, from [1], which are closely related to Hardy’s inequality. We also developed new bounds of Grss and Ostrowski-type inequalities. Further, the contribution of these inequalities to the theory of -convex functions has been presented by defining functionals from new inequalities and describing their properties. Lastly, new inequalities related to exponentially convex functions and log-convex functions, such as the Lyapunov inequality, have been developed. In the future, it can be investigated whether we can use other interpolations, such as Hermite interpolation, to prove new generalizations of Steffensen’s inequality and related results.
Author Contributions
Supervision, J.P.; Writing original draft, S.I.B.; Writing – review and editing, A.F. and S.I.B.
Funding
The research of S.I.B. was supported by the H.E.C. Pakistan under NRPU project 5327. The research of J.P. was supported by the Ministry of Education and Science of the Russian Federation (the Agreement number No. 02.a03.21.0008).
Conflicts of Interest
The authors declare no conflict of interest.
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