Abstract and Applied Analysis

Volume 2014, Article ID 601839, 18 pages

http://dx.doi.org/10.1155/2014/601839

## Sharp Inequalities for Trigonometric Functions

^{1}School of Mathematics and Computation Sciences, Hunan City University, Yiyang 413000, China^{2}School of Information Engineering, Huzhou Teachers College, Huzhou 313000, China

Received 4 March 2014; Revised 21 May 2014; Accepted 30 May 2014; Published 7 July 2014

Academic Editor: Chun-Gang Zhu

Copyright © 2014 Zhen-Hang Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

We establish several sharp inequalities for trigonometric functions and present their corresponding inequalities for bivariate means.

#### 1. Introduction

A bivariate real value function is said to be a mean if for all . is said to be homogeneous if for any .

*Remark 1 (see [1]). *Let be a homogeneous bivariate mean of two positive real numbers and . Then
where .

By this remark, almost all of the inequalities for homogeneous symmetric bivariate means can be transformed equivalently into the corresponding inequalities for hyperbolic functions and vice versa. More specifically, let , , and be the logarithmic, identric, and th power means of two distinct positive real numbers and given by respectively. Then, for , we have where . By Remark 1, we can derive some inequalities for hyperbolic functions from certain known inequalities for bivariate means mentioned previously. For example, (see [2, 3]); consider (see [4, 5]); consider that (see [1]) holds for if and only if and ; consider (see [6]); consider (see [7], ( 3.9), and ( 3.10)); if , then the double inequality (see [8]) holds if and only if and ; if , then inequality (11) holds if and only if and ; consider that (see [9]) holds if and only if and .

The main purpose of this paper is to find the sharp bounds for the functions , which include the corresponding trigonometric version of the inequalities listed above. As applications, their corresponding inequalities for bivariate means are presented.

#### 2. Lemmas

Lemma 2 (see [10, Theorem 1.25], [11, Remark 1]). *For , let be continuous on and differentiable on ; let on . If is increasing (or decreasing) on , then so are
**
If is one-to-one, then the monotonicity in the conclusion is strict.*

Lemma 3 (see [12]). *Let and be real numbers and let the power series and be convergent for . If , for , and is increasing ( decreasing), for , then the function is also (strictly) increasing (decreasing) on .*

Lemma 4 (see [13, pages 227–229]). *One has
**
where is the Bernoulli number.*

Lemma 5. *For every , , the function defined by
**
is increasing if and decreasing if . Consequently, for , one has
**
It is reversed if .*

*Proof. *For , we define and , where . Note that , and can be written as
Differentiation and using (14) and (15) yield
where
Clearly, if the monotonicity of is proved, then by Lemma 3 we can get the monotonicity of , and then the monotonicity of the function easily follows from Lemma 2. For this purpose, since , , for , we only need to show that is decreasing if and increasing if . Indeed, an elementary computation yields
It is easy to obtain that, for ,
which proves the monotonicity of .

Making use of the monotonicity of and the facts that
we get inequality (19) and its reverse immediately.

Lemma 6. *For every , , the function defined by
**
is increasing if and decreasing if . Consequently, for , one has
**
It is reversed if .*

*Proof. *We define and , where . Note that , and can be written as
Differentiating and using (14) and (15) yield
where
Similarly, we only need to show that is decreasing if and increasing if . In fact, simple computation leads to
It is easy to obtain that, for ,
which proves the monotonicity of .

Making use of the monotonicity of and the facts that
we get inequality (27) and its reverse immediately.

Lemma 7 (see [14, 15]). *For and , let , , , and be defined by
**
Then, , , and are decreasing with respect to , while is increasing with respect to on .*

*Proof. *It was proved in [14, 15] that the functions and are decreasing with respect to . Now, we prove that has the same property. Logarithmic differentiation gives that, for ,
Clearly, for and , which yields , and so . This gives and .

Similarly, we get
which implies that is decreasing with respect to on . Therefore,
which proves the desired result.

#### 3. Main Results

##### 3.1. The First Sharp Bounds for

In this subsection, we present the sharp bounds for in terms of , which give the trigonometric versions of inequalities (6) and (7).

Theorem 8. *For , the two-side inequality
**
holds with the best possible constants and , where is the unique root of the equation
**
on . Moreover, one has
**
where the exponents , and coefficients , in (43) are the best possible constants and so is in (44).*

*Proof. *(i) We first prove that the left inequality in (41) for and is the best possible constant. Letting in (19), then we get the first inequality in (41) and the second inequality in (43). If there exists such that for , then
Using power series expansion gives
Therefore,
which derives a contradiction. Hence, is the best possible constant.

(ii) From Lemma 7, we clearly see that the function is decreasing on . Note that
Therefore, (42) has a unique root . Numerical calculation gives . Letting in Lemma 5 yields
The above inequalities can be rewritten as
where the equality is due to the fact that is the unique root of (42). Therefore, we get the right inequality in (41) and the first inequality in (44). We clearly see that is the best possible constant.

(iii) The third inequality in (43) easily follows from
which holds due to and . From
we clearly see that the coefficients and are the best possible constants.

This completes the proof.

Recently, Yang [16] proved that the inequalities hold for if and only if and , where . Making use of Theorem 8 and Lemma 7, we have the following.

Corollary 9. *For , the chain of inequalities
**
hold with the best possible constants , , , and .*

##### 3.2. The Second Sharp Bounds for

In this subsection, we give the sharp bounds for in terms of , which give the trigonometric versions of inequalities (8).

Theorem 10. *For , the two-side inequality
**
holds with the best possible constants and , where is the unique solution of the equation
**
on . Moreover, the inequalities
**
hold for , where the exponents
**
and the coefficients
**
are the best possible constants. Also, the first member in (57) is decreasing with respect to on , while the third and fourth members are increasing with respect to on . The reverse inequality of (57) holds if .*

*Proof. *For and , we define
To prove the desired results, we need two assertions. The first one is
which follows by expanding in power series
The second one states that the equation , that is, (56), has a unique solution such that for and for . Indeed, Lemma 7 implies that is increasing on , which together with the facts that
indicates the second assertion. By using mathematical software, we find .

(i) Now, we prove that the first inequality in (55) holds with the best constant . Letting in Lemma 5 yields the first inequality in (55). Due to the decreasing property of on given by Lemma 7, we assume that there is a with such that the left inequality in (55) holds for ; then we have , which together with the relation (61) leads to . It is clearly impossible. Hence, is the best constant.

(ii) We next show that the second inequality in (55) holds with the best constant . Let us introduce an auxiliary function defined on by
Expanding in power series gives
where
Therefore, we have
Differentiation again yields
We claim that for . It suffices to show that for . In fact, , and satisfies the recursive relation
A direct check leads to
due to and satisfies the recursive relation
Hence, is decreasing for , and so
which yields . From the recursive relation (69), we get for , which proves that for . Note that
We also assert that . If not, that is, , then there must be for , which yields and due to being the solution of the equation . This is obviously a contradiction. It follows that there is a such that for and for , which also implies that is decreasing on and increasing on . Therefore,
that is, for .

It remains to prove that is the best possible constant. If there is a with such that the right inequality in (55) holds for , then, by the second assertion proved previously, we have , which yields a contradiction.

(iii) The first and second inequalities in (57) and their reverse ones are clearly the direct consequences of Lemma 5. It remains to prove the third one. We have to determine the sign of defined by
for and . Arranging leads to
As shown previously, for and for , which together with and gives the desired result.

Lemma 7 reveals that the monotonicity of the first, second, and third members in (57) with respect to on due to
Finally, we show that is the best possible constant. It easily follows that

Thus, we complete the proof.

*Remark 11. *Letting and in Theorem 10 and then taking squares, we deduce that the two-side inequality
holds for , where .

From the proof of Theorem 10, we clearly see that the constant in (79) is the best possible constant, but is not.

In [15, Theorems 1, 2, and 3], Yang proved that the chain of inequalities holds for with the best constants and . The monotonicity of the function on given in Lemma 7 and Remark 11 lead to the following.

Corollary 12. *For , the chain of inequalities
**
holds with the best possible constants , , , and , and .*

Using certain known inequalities and the corollary above, we can obtain the following novel inequalities chain for trigonometric functions.

Corollary 13. *For , one has
*

*Proof. *The first, second, and third inequalities in (82) are due to Neuman [17, Theorem 1].

The fourth one in (82) is equivalent to
which holds due to
for .

The eighth one is derived from Neuman and Sándor [18, ( 2.5)].

The ninth one easily follows from
The tenth, eleventh, and twelfth ones can be obtained by [19, ( 3.9)].

Except the last one, other ones are obviously deduced from Corollary 12.

The last one is equivalent to
which follows from the inequality connecting the fourth and sixth members in(82) proved previously.

Thus, the proof is complete.

*Remark 14. *Sándor [20, page 81, Lemma 2.2] proved that the inequality
holds for . Clearly, the sixth and seventh inequalities in (82), that is, for ,
are a refinement of Sándor's inequality.

*Remark 15. *Using the decreasing property of the function defined by (83) proved in Corollary 13, we also get for , which can be rewritten as
This in conjunction with (43) gives
From
we conclude that and are also the best possible constants.

Further, we conjecture that
hold for , where all exponents are optimal.

*Taking , , and in (57), we get the following.*

*Corollary 16. For , we have
where , and , are the best possible constants.*

*Remark 17. *The inequalities connecting the first, fourth, and seventh members in (93) state that, for ,
which can be written as
or
It is easy to check that this double inequality is stronger than the new Redheffer-type one for proved by Zhu and Sun [21, Theorem 3]; that is, for ,

*Remark 18. *Making use of the double inequalities
for proved in [22] and [15, Corollary 3], respectively and taking into account (93) and (94), we easily obtain

*3.3. The Sharp Bounds for *

*In this subsection, we establish sharp inequalities between and and prove the trigonometric version of inequalities (9) and (10). Employing Lemmas 6 and 7, we have the following.*

*Theorem 19. For , the two-side inequality
holds with the best possible constants and , where is the unique root of the equation
on . Moreover, the inequalities
hold for , where the exponents
and the coefficients
are the best possible constants. Also, the first member in (104) is decreasing with respect to on , while the third and fourth members are increasing with respect to on . The reverse of (104) holds if .*

*Proof. *For and , we define
To prove the desired results, we need two assertions. The first is the limit relation
which follows by expanding in power series