Abstract
The study of even functions is important from the symmetry theory point of view because their graphs are symmetrical to the axis; therefore, it is essential to analyse the properties of even functions for x greater than 0. Since the functions involved in Wilker–Huygens-type inequalities are even, in our approach, we use cosine polynomials expansion method in order to provide new refinements of the above-mentioned inequalities.
Keywords:
trigonometric functions; hyperbolic functions; trigonometric series; analytic inequalities; even functions MSC:
41A21; 42B05; 26D05; 26D15
1. Introduction
The famous Huygens inequality for trigonometric functions states that for any 0 one has
while the Wilker inequality asserts that
In [1], S.-H. Wu and H. M. Srivastava established the following inequality, which is sometime known as the second Wilker inequality:
and the following inequality, which is also sometime known as the second Wilker inequality:
In [4], E. Neumann and J. Sándor proved the following inequality
In the same work, [4], E. Neumann and J. Sándor also showed the hyperbolic variants of the inequalities (3) and (4)
and
The hyperbolic counterpart of the inequality (7) is:
These inequalities were extended in different forms in the recent past. We refer to [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17] and closely related references therein. Some of the recent improvements were obtained using Taylor’s expansion or Padé approximation of the trigonometric functions involved.
In [6], we improved the Huygens and Wilker inequalities using the cosine polynomial method.
The aim of this work is to reformulate the inequalities (3)–(12) using again the cosine polynomial method. The main idea is that the functions involved in the above inequalities are even, so can be expanded in trigonometric series:
The above functions can be also expanded as hyperbolic cosine polynomials:
In the following we will present our method for the first function.
We introduce the function by
The power series expansion of near 0 is
In order to increase the speed of the function approximating , we vanish the first coefficients as follows:
and we obtain and
Then, we obtain
or, equivalently,
Using the same algorithm, we find
and
2. Main Results
Using the Fourier trigonometric series method we can establish our main theorems, which are refined and simple forms of the inequalities (3)–(12).
Theorem 1.
(Wilker–Huygens-type inequalities)
- (i)
- The following inequalityholds for all .
- (ii)
- The following inequalityholds for all .
- (iii)
- The following inequalityholds for all .
Theorem 2.
(Wilker–Huygens-type inequalities for hyperbolic functions)
- (i)
- For all , one has
- (ii)
- For all , one has
- (iii)
- For all , one has
Theorem 3.
(Mixed type of Wilker–Huygens inequalities)
- (i)
- For all , one has
- (ii)
- For all x, , one has
- (iii)
- For all , one has
3. The Proofs of the Theorems
We first prove two lemmas.
Lemma 1.
(i) For every , one has
- (ii)
- For every , one has
- (iii)
- For every , one has
Proof.
(i) We consider the function
The derivative of the function g is
Then g is increasing on . As , we find that on .
(ii) We define the function
We can rearrange p as follows
For , we have
It follows that on .
(iii) We introduce the function
An alternate form of h is
Using the formula
we have
The Adamović and Mitrinović inequality (see, e.g., ([8] p. 238)) asserts that
holds for every .
Therefore, we obtain that for every . □
Lemma 2.
For every , one has
Proof.
We define the even function
We have
and
From Lemma 1, (i), we deduce that for all .
Then,
or, equivalently,
Therefore, is strictly increasing on . Since , it follows that for all . Continuing the algorithm, we finally find that on . □
Proof of Theorem 1.
Therefore, we can consider .
The inequality (13) takes the following equivalent form:
We introduce the function
The derivative of the function is
The function
has the derivative
Since on , it follows that is strictly increasing on . As we obtain that on .
Then, on . Using the same arguments, we finally find that on .
(ii) The functions involved in the inequality (14) are even functions, so it is sufficient to prove for .
We write the inequality (14) as follows:
We define the function
Elementary calculations reveal that
The function
has the derivative
According to the second part of the Lemma 1, we have
on . We also have
on .
We obtain that on , then is strictly increasing on .
As , we prove that on .
Therefore, on . Using the same arguments, we finally find that on .
(iii) We can assume that .
We rewrite the inequality (15) as follows:
The function
has the derivative
The function is on , hence is strictly increasing on . Since , we find that on .
This completes the proof of the Theorem 1. □
Proof of Theorem 2.
(i) We assume that . We have to prove the following inequality:
for all .
We introduce the function
The derivative of the function is
The function ,
has the derivative
Since on , it follows that is strictly decreasing on . Since , we have on , then on .
Hence, is strictly decreasing on .
As , we finally obtain that on .
(ii) We have to prove that
for all .
The function
has the derivatives:
and
To find critical points of the function , first, we calculate the derivative :
Solving the equation yields .
Therefore, the only critical point of the function is . Then, we evaluate at the critical point and at the endpoint of the domain:
Hence, the function has a global maximum at : .
Then, is strictly decreasing on . As , we obtain on .
It follows that is strictly decreasing on . As , we find on .
(iii) We have to prove that
for
We consider the function
The derivative of the function is
Then on , hence is strictly decreasing on .
As , we find that on .
The proof of the Theorem 2 is complete. □
Proof of Theorem 3.
(i) Since the functions involved in the inequality (19) are even functions, we can assume that .
The inequality (19) takes the equivalent form:
We consider the function
The derivatives of the function is
The function
has the positive roots , . Then, on and on . It follows that on .
If , then can be rewritten as
The function
has the positive roots , and on .
Hence, on . It follows that is strictly increasing on . As , we find on . Continuing the algorithm we finally obtain that on .
(ii) We also can assume .
We write the inequality (20) as follows:
The function
has the derivative
The equation has the positive roots , . Moreover, for . Then, is strictly decreasing on and it is strictly increasing on . Since and , it follows that on .
(iii) As in the above theorems, we can assume .
We rearrange the inequality (21) as follows:
We introduce the function
Easy computation yields
and
According to the first part of the Lemma 1 we have for all .
Then,
Therefore, we find that
In the following, we will prove that the function
is positive on .
The derivatives of the function h are
and
Since the function on it follows that is strictly increasing on . As , we get on . Continuing the algorithm, we finally obtain that on .
Hence, we deduce that on . Using the same arguments as above, we finally find that on .
The proof of the Theorem 3 is complete. □
4. Conclusions
The function
occurs in Fourier analysis and its applications in signal processing. The Fourier transform of the function is a rectangle, and the Fourier transform of a rectangular pulse is a function. The function also appears in analysis of digital-to-analogue conversion.
In our work, Taylor expansion of the error function between the truncated sum of the first terms of the cosine series of the functions involved in Wilker–Huygens-type inequalities and the functions themselves is carried out. Then the best approximation of the functions which improve Wilker–Huygens-type inequalities is obtained.
These new approximations give sharp bounds to the functions and
For example, the inequalities
and
are very sharp and interesting for further studies.
Funding
The APC was funded by “Dunărea de Jos” University of Galaţi, Romania.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The author declare no conflict of interest.
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