1. Introduction

The role of mathematical inequalities within the mathematical branches as well as in its various application should not be underestimated. The appearance of the new mathematical inequality often puts on the firm foundation for the heuristic algorithms and techniques utilized within applied sciences. Among other one of the main inequality, which provides for us an explicit error bounds in the trapezodial and midpoint rules of a smooth function, called Hermite-Hadamard’s inequality defined as [^[1], p. 53]:

(1.1)

where is a convex function. Both inequalities hold in the reversed direction for f to be concave. We note that Hermite-Hadamard’s inequality may be regarded as a refinement of the concept of convexity and it follows easily from Jensen inequality. Inequality (1.1) has received renewed attention in recent years and a remarkable variety of refinements and generalization have been discovered ^{[2, 7, 10, 11]} and the refrences cited therein.

Theorem 1.1. (^[3]) Let be a differentiable function on （interior of ） with if the mapping is convex on and then we have the following inequality:

(1.2)

Theorem 1.2. (^[3]) Let be a differentiable function on （interior of ） with if the mapping is convex on for some fixed p>1 and then we have the following inequality:

(1.3)

In similar manner to Dragomir and Agarwal methodology, inequalities for differentiable convex mappings associated with the left-hand side of Hermite-Hadamard’s (midpoint) inequality was verified by Kirmaci ,by means of the following illustration:

Theorem 1.3. (^[5]) Let be a differentiable mapping on with If is convex on [a,b] then we have:

(1.4)

Theorem 1.4. (^[4]) Let be a differentiable function on （interior of ） with If the mapping is convex on for some fixed p>1,and then we have the following inequality:

(1.5)

Theorem 1.5. (^[4]) Let be a differentiable function on (interior of ) with If the mapping is convex on for some fixed and is a linear map, we have the following inequality:

(1.6)

In most recent years, For additional findings relating to the Hermite-Hadamard integral inequality for utilizing different kind of convexity, readers are directed to ([12-17]^[12]). This work is organized in the following way. After this Introduction, in Section 2 main results are presented.In Section 3 application to special means are considered. Finally Section 4, error is estimated for the generalized quadrature formula.

2. Main results

To prove our main result, we need some important lemma.

Lemma 2.1. Let be differentiable function on where is with If Then the following inequality holds:

(2.1)

Proof. Using integrating by parts, and by making use of the substitution

we have

analougusoly,

This proves as required.

Theorem 2.2. Let be a differentiable function on where is with such that If the mapping is convex on then we have the following inequality:

(2.2)

Proof. Using Lemma 2.1 and taking the modulus, we have

using the convexity of |f’|, we have

(2.3)

(2.4)

(2.5)

(2.6)

Combing the above inequalities (2.3), (2.4), (2.5), and (2.6), we obtain (2.2). This completes the proof.

Corollary 2.3 Under the conditions of Theorem 2.2,

Using the convexity of for all we have

Proof . The assertion follows from Theorem 2.2 and utilizing the convexity of |f’|.

Theorem 2.4 Let be a differentiable function on where is with such that If the mapping is convex on then we have the following inequality：

(2.7)

Proof. Using Lemma 2.1 and Hölder inequality we have

using the convexity of , we have

(2.8)

(2.9)

(2.10)

(2.11)

Combing the above inequalities (2.8), (2.9), (2.10), and (2.11), we obtain (2.7). This completes the proof.

Theorem 2.5 Let be a differentiable function on where is with such that If the mapping is convex on for some fixed then we have the following inequality：

(2.12)

Proof. Using Lemma 2.1 and power mean inequality we have

using the convexity of ，we have

(2.13)

(2.14)

(2.15)

(2.16)

Combing the above inequalities (2.13), (2.14), (2.15), and (2.16), we obtain (2.12). This completes the proof.

Theorem 2.6 Let be a differentiable function on where is with such that If the mapping is concave on for some fixed q>1, then we have the following inequality:

(2.17)

Proof. Using Lemma 2.1 and well known Hölder inequality we have

using the convexity of ，we have

(2.18)

(2.19)

(2.20)

(2.21)

Combing the above inequalities (2.18), (2.19), (2.20), and (2.21), we obtain (2.17). This completes the proof.

Corollary 2.7 Under the conditions of Theorem 2.6, assume that function is a linear map,

Proof. It is a direct consequence of Theorem 2.6 and using the linearity of the function.

Theorem 2.8 Let be a differentiable function on where is with such that If the mapping is concave on for some fixed then we have the following inequality：

Proof. By the concavity of and Power-mean inequality we have

And thus

Using Lemma 2.1 and the Jensen’s integral inequality, we have

Corollary 2.9 Under the conditions of Theorem 2.8,

Proof. The assertion is a direct consequence of Theorem 2.8 and using the linearity of function.

3. Application to Some Special Means

Let us recall the following means for arbitrary real numbers a and b.

The Arithmetic mean

The Harmonic mean

Generalized-logarithmic mean

The Logarithmic mean

Now utilizing outcomes of Section 2, some new inequalities are derived for the above means.

Proposition . Let , and then, we have

(3.1)

Proof. By corollory 2.3 applied for the mapping , we have the above inequality (3.1).This completes the proof.

Proposition . Let, and then, we have

(3.2)

Proof. By corollory 2.3 applied for the mapping , we have the above inequality (3.2). This completes the proof.

4. Application to Quadrature Formula

Let D be the partition of the interval [a,b], and consider the quadrature formula

where

For the quadrature version and denotes the approximation error.

Proposition 4.1. Let be a differentiable mapping on （interior of ） with If the mapping is convex on then for every division of the following holds:

(4.1)

Proof. Using Theorem 2.2 on the subintervals of the division we have

(4.2)

(4.3)

By combining (4.2) and (4.3), we obtain (4.1). This completes the proof.

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