Hermite–Hadamard’s trapezoid and mid-point type inequalities on a disk

Abstract

Some trapezoid and mid-point type inequalities related to the Hermite–Hadamard inequality on the disk of center $C=(a,b)$ and radius R, $D(C,R)\subseteq \mathbb{R}^{2}$, are investigated. It is shown that the estimated value obtained in the trapezoid and mid-point type inequalities has a relation with the integral of the partial derivative of the considered function on $\partial (C,R)$, the boundary of $D(C,R)$.

1 Introduction

Let $f: I\subseteq \mathbb{R}\to \mathbb{R}$ be a convex mapping defined on the interval I of real numbers and $a, b\in I$ with $a < b$. The following double inequality

$$ f \biggl(\frac{a+b}{2} \biggr) (b-a)\leq \int _{a}^{b}f(x)\,dx\leq (b-a) \frac{f(a)+f(b)}{2}, $$

(1)

is known in the literature as Hermite–Hadamard inequality for convex mappings. For more results and generalization about (1), see [1, 5,6,7,8,9,10,11] and the references therein.

An interesting problem in (1) is estimating the difference between the right term and the integral of f on $[a,b]$ and also estimating the difference between the left term and the integral of f on $[a,b]$.

In [3], the authors have obtained an estimation for the difference between the right term of (1) and the integral of f as follows.

Theorem 1.1

Let $f : I^{\circ }\subseteq \mathbb{R}\to \mathbb{R}$ be a differentiable mapping on $I^{\circ }, a, b\in I^{\circ }$ with $a < b$. If $|f'|$ is convex on $[a, b]$, then the following inequality holds:

$$ \biggl\vert \int _{a}^{b}f(x)\,dx-(b-a)\frac{f(a)+f(b)}{2} \biggr\vert \leq \frac{1}{8}(b-a)^{2} \bigl( \bigl\vert f'(a) \bigr\vert + \bigl\vert f'(b) \bigr\vert \bigr). $$

(2)

As we can see in Theorem 1.1, the estimation value is in connection with the absolute value of the derivative of the considered function on the boundary points of the corresponding interval $[a,b]$. In fact the striped area shown in Fig. 1, which is equivalent to the difference between the area of trapezoid $abcd$ and the area under the graph of f, is estimated in (2) as well. Due to this geometric property, we call inequality (2) trapezoid type inequalities related to the Hermite–Hadamard inequality.

Figure 1

Trapezoid type inequality

Also in [4], the author obtained an estimation for the difference between the left term of (1) and the integral of f:

Theorem 1.2

([4])

Let $f : I^{\circ }\subseteq \mathbb{R}\to \mathbb{R}$ be a differentiable mapping on $I^{\circ }$, $a, b\in I^{ \circ }$ with $a < b$. If $|f'|$ is convex on $[a, b]$, then we have

$$ \biggl\vert \int _{a}^{b}f(x)\,dx-(b-a)f \biggl( \frac{a+b}{2} \biggr) \biggr\vert \leq \frac{1}{8}(b-a)^{2} \bigl( \bigl\vert f'(a) \bigr\vert + \bigl\vert f'(b) \bigr\vert \bigr). $$

(3)

According to (3), the striped area shown in Fig. 2, which is in fact equivalent to the difference between the area under the graph of f and the area of rectangle $abcd$, is estimated. Due to this geometric property, we call inequality (3) mid-point type inequalities related to the Hermite–Hadamard inequality.

Figure 2

Mid-point type inequality

Now let us consider a point $C=(a, b)\in \mathbb{R}^{2}$ and the disk $D(C,R)$ centered at the point C and having the radius $R > 0$. The following inequality has been obtained in [2], which is a Hermite–Hadamard inequality related to convex functions defined on the disk $D(C,R)$ in $\mathbb{R}^{2}$.

Theorem 1.3

If the mapping $f: D(C,R)\to \mathbb{R}$ is convex on $D(C,R)$, then one has the inequality

$$ f(C)\leq \frac{1}{\pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy\leq \frac{1}{2 \pi R} \int _{\partial (C,R)}f(\gamma )\, dl(\gamma ), $$

(4)

where $\partial (C,R)$ is the circle centered at the point $C=(a,b)$ with radius R. The above inequalities are sharp.

Motivated by the above-mentioned works, we investigate the trapezoid and mid-point type inequalities related to (4). We show that on a disk $D(C,R)$, these kinds of estimations have a relation with the integral of $|\frac{\partial f}{\partial r}|$ (in polar coordinates) on $\partial (C,R)$, the boundary of the disk $D(C,R)$, provided that $|\frac{\partial f}{\partial r}|$ is convex with respect to the variable $r\in [0,R]$.

2 Main results

The first result of this section is the trapezoid type inequality related to (4).

Theorem 2.1

Consider a set $I\subset \mathbb{R}^{2}$ with $D(C,R)\subset I^{ \circ }$. Suppose that the mapping $f:D(C,R)\to \mathbb{R}$ has continuous partial derivatives in the disk $D(C,R)$ with respect to the variables r and θ in polar coordinates. If, for any constant $\theta \in [0,2\pi ]$, the function $|\frac{\partial f}{\partial r} |$ is convex with respect to the variable r on $[0,R]$, then

$$ \biggl\vert \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-\frac{1}{ \pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy \biggr\vert \leq \frac{1}{6\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl( \gamma ). $$

(5)

Proof

For a constant $\theta \in [0,2\pi ]$, if we consider

$$ x(r)=a+r\cos \theta $$

and

$$ y(r)=b+r\sin \theta , $$

then we have $([\dot{x}(r)]^{2}+[\dot{y}(r)]^{2} )^{ \frac{1}{2}}= (\sin ^{2}(\theta )+\cos ^{2}(\theta ) )^{ \frac{1}{2}}=1$, where ẋ, ẏ are the derivatives of x, y, respectively, with respect to the variable r on $[0,R]$. So, by the use of integration by parts, we have the following equalities:

$$\begin{aligned} & \int _{0}^{R} \frac{\partial f}{\partial r} (a+r\cos\theta ,b+r \sin \theta )r^{2} \,dr=r^{2} f (a+r\cos\theta ,b+r\sin\theta ) \bigg|_{0}^{R} \\ &\quad {}-2 \int _{0}^{R} f (a+r\cos\theta ,b+r\sin\theta )r\, dr=R^{2}f (a+R\cos\theta ,b+R\sin\theta ) \\ &\quad {}-2 \int _{0}^{R} f (a+r\cos\theta ,b+r\sin\theta )r\, dr. \end{aligned}$$

(6)

The integration of (6) with respect to θ on $[0,2\pi ]$ implies that

$$\begin{aligned} &R^{2} \int _{0}^{2\pi }f (a+R\cos\theta ,b+R\sin\theta )\, d \theta -2 \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos\theta ,b+r\sin\theta )r\, dr \, d \theta \\ &\quad = \int _{0}^{2\pi } \int _{0}^{R}\frac{\partial f}{\partial r} (a+r\cos \theta ,b+r \sin\theta )r^{2} \, dr\, d\theta . \end{aligned}$$

Since $|\frac{\partial f}{\partial r}|$ is convex with respect to the variable r on $[0,R]$ for any $\theta \in [0,2\pi ]$, then

$$\begin{aligned} & \biggl\vert R^{2} \int _{0}^{2\pi }f (a+R\cos\theta ,b+R\sin\theta )\, d \theta -2 \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos\theta ,b+r\sin\theta )r\, dr \, d\theta \biggr\vert \\ &\quad \leq \int _{0}^{2\pi } \int _{0}^{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+r\cos\theta ,b+r\sin\theta )r^{2} \, dr\, d\theta \\ &\quad = \int _{0}^{2\pi } \int _{0}^{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert \biggl(\frac{r}{R} (a+R\cos\theta ,b+R\sin\theta )+ \biggl(1- \frac{r}{R} \biggr) (a,b ) \biggr)r^{2} \, dr\, d\theta \\ &\quad \leq \int _{0}^{2\pi } \int _{0}^{R}\frac{r^{3}}{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+R\cos\theta ,b+R\sin\theta )\, dr\, d\theta \\ &\qquad {}+ \int _{0}^{2\pi } \int _{0}^{R}r^{2} \biggl(1- \frac{r}{R} \biggr) \biggl\vert \frac{ \partial f}{\partial r} \biggr\vert (C )\,dr \,d\theta \\ &\quad =\frac{R^{3}}{4} \int _{0}^{2\pi } \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+R\cos\theta ,b+R\sin\theta )\, d\theta+\frac{\pi R^{3}}{6} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (C ). \end{aligned}$$

(7)

Now, consider the curve $\gamma : [0, 2\pi ] \to \mathbb{R}^{2}$ given by

$$ \gamma : \textstyle\begin{cases} x(\theta )=a+R\cos \theta, \\ y(\theta )=b+R\sin \theta , \end{cases}\displaystyle \quad \theta \in [0,2\pi ]. $$

Then $\gamma ([0, 2\pi ] ) =\partial (C,R)$, and we write (integrating with respect to arc length)

$$\begin{aligned} \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl(\gamma )&= \int _{0}^{2\pi } \biggl\vert \frac{\partial f}{\partial r} \biggr\vert \bigl(x(\theta ),y(\theta ) \bigr) \bigl(\bigl[\dot{x}(\theta ) \bigr]^{2}+\bigl[\dot{y}( \theta )\bigr]^{2} \bigr)^{\frac{1}{2}}\, d\theta \\ &=R \int _{0}^{2\pi } \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+R\cos \theta ,b+R\sin\theta )\, d\theta. \end{aligned}$$

(8)

From (7) and (8) we obtain

$$\begin{aligned} & \biggl\vert R^{2} \int _{0}^{2\pi }f (a+R\cos\theta ,b+R\sin\theta )\,d \theta -2 \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos\theta ,b+r\sin\theta )r\,dr \,d\theta \biggr\vert \\ &\quad \leq \frac{R^{2}}{4} \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma )+\frac{\pi R^{3}}{6} \biggl\vert \frac{ \partial f}{\partial r} \biggr\vert (C ). \end{aligned}$$

(9)

Also using the convexity of $|\frac{\partial f}{\partial r}|$ in (4) we have

$$\begin{aligned} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (C )&\leq \frac{1}{ \pi R^{2}} \int _{0}^{2\pi } \int _{0}^{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+r\cos\theta ,b+r\sin\theta )\,dr\,d\theta \\ &\leq \frac{1}{2\pi R} \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma ). \end{aligned}$$

(10)

So by replacing (10) in (9) we obtain

$$\begin{aligned} & \biggl\vert R \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-2 \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos\theta ,b+r\sin\theta )r\,dr \,d\theta \biggr\vert \\ &\quad \leq \frac{R^{2}}{3} \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma ). \end{aligned}$$

(11)

Finally dividing (11) with $2\pi R^{2}$ we get

$$\begin{aligned} \biggl\vert \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-\frac{1}{ \pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy \biggr\vert \leq \frac{1}{6\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl( \gamma ). \end{aligned}$$

 □

Example 2.2

Consider the bifunction $f(x,y)=R-\sqrt{(x-a)^{2}+(y-b)^{2}}$ defined on the disk $D(C,R)$. In polar coordinates we have that

$$ f(a+r\cos\theta ,b+r\sin \theta )=R-r $$

for $0\leq r\leq R$, $\theta \in [0,2\pi ]$ and specially $f(a+R\cos \theta ,b+R\sin \theta )=0$ for all $\theta \in [0,2\pi ]$. So

$$\begin{aligned} & \biggl\vert \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-\frac{1}{ \pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy \biggr\vert \\ &\quad =\frac{1}{\pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy=\frac{1}{ \pi R^{2}} \int _{0}^{2\pi } \int _{0}^{R} (R-r)r\,dr\,d\theta = \frac{R}{3}. \end{aligned}$$

(12)

On the other hand, it is not hard to see that $|\frac{\partial f}{ \partial r}|(a+R\cos\theta ,b+R\sin\theta )=1$ for all $\theta \in [0,2 \pi ]$, and so

$$ \frac{1}{6\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl(\gamma )=\frac{R}{3}. $$

(13)

Then identities (12) and (13) show that inequality (5) is sharp.

The following result is the mid-point type inequality related to (4).

Theorem 2.3

Consider a set $I\subset \mathbb{R}^{2}$ with $D(C,R)\subset I^{ \circ }$. Suppose that the mapping $f:D(C,R)\to \mathbb{R}$ has continuous partial derivatives in the disk $D(C,R)$ with respect to the variables r and θ in polar coordinates. If, for any constant $\theta \in [0,2\pi ]$, the function $|\frac{\partial f}{\partial r} |$ is convex with respect to the variable r on $[0,R]$, then

$$ \biggl\vert \frac{1}{\pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy-f(C) \biggr\vert \leq \frac{2}{3\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma ). $$

(14)

Proof

As we have seen in the proof of Theorem 2.1, for a constant $\theta \in [0,2\pi ]$, if we consider $x(r)=a+r\cos \theta$ and $y(r)=b+r\sin \theta$, then we have $([\dot{x}(r)]^{2}+[\dot{y}(r)]^{2} )^{\frac{1}{2}}=1$. So from fundamental theorem of calculus we have

$$ \int _{0}^{R} \frac{\partial f}{\partial r} (a+r\cos\theta ,b+r \sin \theta ) \,dr=f (a+R\cos\theta ,b+R\sin\theta )-f(C). $$

Hence

$$\begin{aligned} & \int _{0}^{2\pi } \int _{0}^{R}\frac{\partial f}{\partial r} (a+r\cos \theta ,b+r \sin\theta )\,dr\,d\theta \\ &\quad = \int _{0}^{2\pi }f (a+R\cos\theta ,b+R\sin\theta )\,d \theta -2 \pi f(C), \end{aligned}$$

which implies that

$$ \int _{0}^{2\pi } \int _{0}^{R}\frac{\partial f}{\partial r} (a+r\cos \theta ,b+r \sin\theta )\,dr\,d\theta =\frac{1}{R} \int _{\partial (C,R)}f( \gamma )\,dl(\gamma )-2\pi f(C). $$

(15)

Now from (15) we obtain

$$\begin{aligned} & \biggl\vert \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-f(C) \biggr\vert \\ &\quad \leq \frac{1}{2\pi } \int _{0}^{2\pi } \int _{0}^{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+r\cos\theta ,b+r\sin\theta )\,dr\,d\theta. \end{aligned}$$

Since $|\frac{\partial f}{\partial r}|$ is convex, then it follows that

$$\begin{aligned} & \biggl\vert \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-f(a,b) \biggr\vert \\ &\quad \leq \frac{1}{2\pi } \biggl[ \int _{0}^{2\pi } \int _{0}^{R} \biggl\vert \frac{ \partial f}{\partial r} \biggr\vert \biggl(\frac{r}{R} (a+R\cos\theta ,b+R\sin \theta )+ \biggl(1-\frac{r}{R} \biggr) (a,b ) \biggr)\,dr\,d\theta \biggr] \\ &\quad \leq \frac{1}{2\pi } \biggl[ \int _{0}^{2\pi } \int _{0}^{R}\frac{r}{R} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (a+R\cos\theta ,b+R\sin \theta )\,dr\,d\theta \\ &\qquad {}+ \int _{0}^{2\pi } \int _{0}^{R} \biggl(1-\frac{r}{R} \biggr) \biggl\vert \frac{ \partial f}{\partial r} \biggr\vert (C )\,dr\,d\theta \biggr] \\ &\quad = \frac{1}{4 \pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl(\gamma )+\frac{R}{2} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (C). \end{aligned}$$

(16)

From the triangle inequality and (16) we get

$$\begin{aligned} & \biggl\vert \frac{1}{\pi R^{2}} \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos \theta ,b+r\sin\theta )\,dr \,d\theta -f(C) \biggr\vert \\ &\quad \leq \frac{1}{4\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma )+\frac{R}{2} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert (C) \\ &\qquad {}+ \biggl\vert \frac{1}{\pi R^{2}} \int _{0}^{2\pi } \int _{0}^{R}f (a+r\cos \theta ,b+r\sin\theta )r\,dr \,d\theta -\frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma ) \biggr\vert . \end{aligned}$$

(17)

Since $|\frac{\partial f}{\partial r}|$ satisfies the Hermite–Hadamard inequality (4), then

$$ \biggl\vert \frac{\partial f}{\partial r} \biggr\vert (C)\leq \frac{1}{2\pi R} \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl( \gamma ). $$

So, by replacing (5) and the inequality in (17) above, we obtain

$$ \biggl\vert \frac{1}{\pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy-f(C) \biggr\vert \leq \frac{2}{3\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{ \partial r} \biggr\vert ( \gamma )\,dl(\gamma ). $$

 □

Remark 2.4

If the functions f and $|\frac{\partial f}{\partial r} |$ are convex on $D(C,R)$, then by the use of inequalities (5), (14), and (4) we have

$$ 0\leq \frac{1}{\pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy-f(C)\leq \frac{2}{3 \pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl(\gamma ) $$

and

$$ 0\leq \frac{1}{2\pi R} \int _{\partial (C,R)}f(\gamma )\,dl(\gamma )-\frac{1}{ \pi R^{2}} \iint _{D(C,R)}f (x,y)\,dx\,dy\leq \frac{1}{6\pi } \int _{\partial (C,R)} \biggl\vert \frac{\partial f}{\partial r} \biggr\vert ( \gamma )\,dl( \gamma ). $$

Example 2.5

There exists a function satisfying all the conditions of Remark 2.4 as well. Consider the function $f(x,y)=x^{2}+y^{2}$ with $(x,y)\in \mathbb{R}^{2}$ defined on a disk $D((0,0),R)$. It is clear that $f(r,\theta )=r^{2}$ and $|\frac{\partial f}{\partial r} |=2r$, which is equivalent to $f(x,y)=2\sqrt{x^{2}+y^{2}}$ with $(x,y)\in \mathbb{R}^{2}$ defined on a disk $D ((0,0),R )$. As we can see in Fig. 3, the functions f and $|\frac{\partial f}{ \partial r} |$ are convex.

Figure 3

Comparison between the graph of f and the graph of it’s partial derivative with respect to the variable r