Abstract
In this paper, two double Jordan-type inequalities are introduced that generalize some previously established inequalities. As a result, some new upper and lower bounds and approximations of the sinc function are obtained. This extension of Jordan’s inequality is enabled by considering the corresponding inequalities through the concept of stratified families of functions. Based on this approach, some optimal approximations of the sinc function are derived by determining the corresponding minimax approximants.
Keywords:
Jordan’s inequality; stratified families of functions; a minimax approximant; upper and lower bounds of the sinc function; approximations of the sinc function MSC:
41A44; 26D05
1. Introduction
The function:
has numerous applications in mathematics. The basic approximation of the function is given by the well-known Jordan’s inequality:
Theorem 1
([1]). For , it holds that
Since then, many authors have worked on extensions and improvements of Jordan’s inequality [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]. In [7], F. Qi, D.-W. Niu and B.-N. Guo conducted elaborate research, thus summarizing previously discovered improvements and applications of Jordan’s inequality, along with related problems. Motivated by some of the following results, this paper provides an additional contribution to this topic.
F. Qi and B.-N. Guo, in the paper [2], provided an enhancement of Jordan’s inequality through the following assertion:
Theorem 2.
Let . Then, it holds that
F. Qi then, in the paper [3], provided further improvement of Jordan’s inequality through the following assertion:
Theorem 3.
Let . Then, it holds that
In the paper [4], K. Deng contributed to improvements of Jordan’s inequality by proving the following:
Theorem 4.
Let . Then, it holds that
Based on the inequality (3), W. D. Jiang and H. Yun provided further extension of Jordan’s inequality in their paper [5] through the following theorem:
Theorem 5.
Let . Then, it holds that
Shortly afterwards, in the paper [6], J.-L. Li and Y.-L. Li provided a more general statement that encompasses the previous inequalities, (2)–(5), thereby introducing an entire family of inequalities. Namely, the following theorem holds:
Theorem 6.
Let . Then, it holds that
Inspired by Theorems 2–6, in this paper, based on the concept of the stratification of corresponding families of functions from the paper [23], we introduce a new extension of Jordan’s inequality. Namely, by applying stratification, it is possible to extend the inequality (7) so that the parameter n can be a positive real number. The extension of inequalities for real parameters has recently been the subject of various studies [24,25,26,27]; see also [28,29,30,31]. Additionally, we provide the best constants for this type of Jordan’s inequality, as well as an analysis of the upper and lower bounds and minimax approximations of the function based on the inequalities (2)–(5), as well as on the newly obtained inequalities.
2. Preliminaries
Recently, in the paper [23], the authors considered families of functions , where and , which are monotonic with respect to the parameter p. In that paper, such families of functions are referred to as stratified families of functions with respect to the parameter p. If, for each , it holds that
then the family of functions is increasingly stratified with respect to the parameter p. If, for each , it holds that
then the family of functions is decreasingly stratified with respect to the parameter p.
If it is possible to determine a value of the parameter for which the infimum of the error
is attained, then the function is the minimax approximant of the family of functions on the interval . Based on the stratifiedness, the parameter value is unique.
In this paper, we consider the inequalities (2)–(7) by introducing the corresponding stratified families of functions. When proving inequalities, we will utilize L’Hôpital’s rule for monotonicity, as well as the method for proving MTP (Mixed Trigonometric Polynomial) inequalities described in the paper [32].
L’Hôpital’s rule for monotonicity was described by the author I. Pinelis in the paper [33]; see also [34]. In this paper, we use the following formulation:
Lemma 1.
(Monotone form of L’Hôpital’s rule). Let f and g be continuous functions that are differentiable on . Suppose or , and assume that for all . If is an increasing (decreasing) function on , then so is .
The method to prove inequalities of the form on the interval , where is an MTP function, as outlined in [32], is based on determining a downward polynomial approximation with respect to the observed function . In [32], the determination of a polynomial as a polynomial with rational coefficients is considered. If there exists a polynomial such that and on the interval , then holds on the interval . The polynomial is determined as a polynomial with rational coefficients and is examined on the interval with rational endpoints. Then, the proof of the inequality is an algorithmically decidable problem based on Sturm’s theorem; see Theorem 4.2 in [35]. In this paper, the application of Sturm’s theorem will not be necessary for proving polynomial inequalities.
3. Main Results
In this section, several statements are presented and proven, with a special emphasis on the connection between Jordan’s inequality and stratification. Particularly, for each family of functions induced by the aforementioned inequality (7), the best approximations derived from the minimax approximants are identified in Statements 1 and 2.
Lemma 2.
The two-parameter family of functions
is individually decreasingly stratified both with respect to the parameter and with respect to the parameter on the interval .
Proof.
For the first derivative of with respect to p, it holds that
for and . For the first derivative of with respect to q, it holds that
for and . □
Based on the inequality (7), we introduce the following stratified families of functions in the auxiliary statement:
Lemma 3.
Let
Then, it holds:
- (i) The family of functionsis decreasingly stratified with respect to the parameter on the interval .
- (ii) The family of functionsis increasingly stratified with respect to the parameter on the interval .
Proof.
(i) Since , we obtain the one-parameter family of functions:
The first derivative of with respect to q is
It is evident that
on the interval for , which concludes the proof.
- (ii) Since , we obtain the one-parameter family of functions:
The first derivative of with respect to parameter q is
Let . We now form the following function:
Since for , the function is decreasing on the interval . Considering that is a decreasing function and that , we conclude that
for . Thus, it follows that
on the interval because on . This finishes the proof. □
Statement 1.
and the constant is the best possible.
has a unique solution , and it holds that
and
and the constant is the best possible.
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then the lower bounds of the function are given by
- (ii) If , then the equality
- (iii) If , then the upper bounds of the function are given by
- (iv) Each function from the family , for , has exactly one maximum and exactly one minimum at certain points , respectively, on the interval . Additionally, it holds that . The function , for , has exactly one maximum on , and for has exactly one minimum on .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
where
and
We first prove that the function is monotonic on the interval using L’Hôpital’s rule for monotonicity (Lemma 1). Let us form the functions and on . Note that and . It holds that
We now examine the monotonicity of the function on the interval . The first derivative of the function is
To examine the sign of the function , let us examine the sign of the MTP function
on the interval .
We prove that using the method from the paper [32]. If we approximate the functions and using Maclaurin polynomials of degrees 4 and 9, respectively, and approximate the function using the Maclaurin polynomial of degree 5 in the addend and using the Maclaurin polynomial of degree 7 in the addend , then the function has the upward polynomial approximation
on the interval . It is evident that on the interval . Thus,
on the observed interval. From here, we conclude that
on the interval . Thus, is a decreasing function on the interval . Furthermore, since and , based on L’Hôpital’s rule for monotonicity, it follows that is also a decreasing function on the interval .
By applying L’Hôpital’s rule, it can be shown that
Considering that is a decreasing function on the interval , we conclude that the function , for , does not have a root on the observed interval. Since , we conclude that
for . Additionally, based on the stratification (Lemma 3), it holds that
for on the interval .
- (ii) It is easily seen that and . In part of this proof, it will be shown that each function , for , has exactly one maximum and exactly one minimum on the interval , respectively. Hence, the stated inequalities follow.
- (iii) The assertion is equivalent to for and . Continuing from part of this proof, using multiple applications of L’Hôpital’s rule, it can be shown that
Considering that is a decreasing function on the interval , we conclude that the function , for , does not have a root on the observed interval. Since , it holds that
for . Additionally, based on the stratification (Lemma 3), it holds that
for on the interval .
- (iv) Let us examine the monotonicity of functions from the family for on . The fourth derivative of with respect to x is
Moreover, the function is defined at both endpoints of the interval , which we will use in the subsequent proof. The first derivative of the function with respect to x is
for . Therefore, the function is increasing on the interval . Since , it holds that
on the interval . It is evident that
for . Hence, we have
on for . Consequently, each function , for , is increasing on . The third derivative of with respect to x is
where
It is evident that for . It holds that
Hence, we have
for . It holds that
Since for , it follows that is an increasing function for . Considering that is an increasing function and that , it can be concluded that
for . Based on (14)–(16), each function , for , has exactly one minimum on . The second derivative of with respect to x is
where
It is evident that for . It holds that
Hence, we have
for . It holds that
Since for , it follows that is an increasing function for . Considering that is an increasing function and that , it can be concluded that
for . We have proven that each function , for , has exactly one minimum on . Therefore, based on (17) and (18), for functions , for , there are two possibilities: either they are increasing, or they have exactly one maximum and exactly one minimum on , respectively. We will prove that
for ; thus, it will be clear that each function , for , has exactly one maximum and exactly one minimum on , respectively. The first derivative of with respect to x is
where
It holds that
Hence, we have
for . It is easily seen that
for . We now examine the sign of the functions , for , at the point . It holds that
Since for , it follows that is a decreasing function. Considering that is a decreasing function and that , it can be concluded that
for . Hence, each function , for , has exactly one maximum and exactly one minimum on , respectively. Note that is a substitution for the conjunction (19)–(21). Additionally, based on the monotonicity of the functions for and , we can conclude that each function , for , has exactly one maximum and exactly one minimum on , respectively.
- By analyzing the monotonicity of the functions , , , , and for and for , in a similar manner, it can be concluded that the function , for , has exactly one maximum on , while the function , for , has exactly one minimum on .
- Note that the infimum of the error , for , exists and is attained when
The Equation (22) can be numerically solved using the computer algebra system Maple, thus yielding the value of the parameter , which is numerically determined as
which determines the minimax approximant of the family of functions . □
Figure 1 illustrates the stratified family of functions ; see . Cases for all values of the parameter are shown, with a special emphasis on the cases with constants obtained in Statement 1.
Figure 1.
Stratified family of functions ; see .
Statement 2.
has a unique solution , and it holds that
and
and the constant is the best possible.
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then the upper bounds of the function are given byand the constant is the best possible.
- (ii) If , then the equality
- (iii) If , then the lower bounds of the function are given by
- (iv) Each function from the family , for , has exactly one maximum at a point on the interval .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
on the interval .
Let us notice that the assertion is equivalent to for and . We begin by proving that is a monotonic function on the interval for . Through elementary transformations, based on (11), it can be shown that the following equivalence holds:
It is necessary to prove that for every in order for the function to be monotonic on the interval for . We first prove that the function is monotonic on the interval by applying L’Hôpital’s rule for monotonicity (Lemma 1). Let us form the functions and on . Note that and . It holds that
We now examine the monotonicity of the function on the interval . The first derivative of the function is
Let us examine the sign of the MTP function
on the interval . If we approximate the functions and using Maclaurin polynomials of degrees 6 and 7, respectively, then the function has the downward polynomial approximation
on the interval . It is evident that on the interval . Thus,
on the observed interval. From here, we conclude that
on the observed interval. Thus, is a decreasing function on the interval . Furthermore, since and , based on L’Hôpital’s rule for monotonicity, it follows that is also a decreasing function on the interval . By applying L’Hôpital’s rule, it can be shown that
Hence, on the interval . Thus, the function , for , is monotonic on the interval . It holds that and . Therefore, is an increasing function and negative on . Considering that , based on the stratification (Lemma 3), it holds that
for on the interval .
- (ii) Continuing from the previous part of the proof, , using multiple applications of L’Hôpital’s rule, it can be shown that
The function from (24) determines the values of the parameter q for which the family of functions have extremes or inflection points on the interval . Considering that the function is monotonic on and that and , every function from the family has either exactly one extremum or exactly one inflection point on the interval for and therefore for , where , since . Let us prove that each function , for , has exactly one maximum on the interval by proving that all these functions are negative in the right neighborhood of zero and positive and decreasing in the left neighborhood of .
It holds that
Therefore, there exists a right neighborhood of zero such that
for . The Taylor expansion of the family of functions around is
Therefore, there exists a left neighborhood of such that
for . Based on (25) and (26), the functions , for , have exactly one maximum on the interval , and the stated inequalities follow.
- (iii) The assertion is equivalent to for and . Let us notice that for , where . In Statement 1, it has already been proven that for on the interval . Given that the family of functions is increasingly stratified with respect to the parameter q based on Lemma 3, for , it will also hold that
- (iv) It has been established in part of the proof for . Similarly, the proof holds for .
- (v) Note that the infimum of the error , for , exists and is attained when
Equation (27) can be numerically solved using the computer algebra system Maple, thus yielding the value of the parameter , which is numerically determined as
which determines the minimax approximant of the family of functions . □
Figure 2 illustrates the stratified family of functions ; see . Cases for all values of the parameter are shown, with a special emphasis on the cases with constants obtained in Statement 2.
Figure 2.
Stratified family of functions ; see .
In the style of writing Theorem 6, based on Statements 1 and 2, we present the following assertion:
Statement 3.
Let . Then, we have the following:
- (i) For and , it holds that
- (ii) For and , it holds that
4. Applications
In this section, we present two applications. The first application is about the improvements and expansions of Theorems 2–5. The second application refers to obtaining some approximations of the function based on some upper and lower bounds of this function and minimax approximants of the corresponding families of functions.
4.1. Improvements of Theorems 2–5
In order to obtain a generalization of all inequalities from Theorems 3–6 for the stratified family of functions from Lemma 2, we considered the values of the parameter and as functions depending on the parameter q. It is possible to consider the family of functions from Lemma 2 by fixing either parameter p or q to some real value. For the cases , , , and , by applying Statements 1 and 2, improvements and extensions of Theorems 2–5, respectively, can be obtained, as will be shown in the following. Particularly, for each family of functions induced by the considered inequalities, the best approximations derived from the minimax approximants are identified in Statements 4–7.
In order to improve and extend Theorem 2, we consider the family of functions for the case . The family of functions reduces to
and is decreasingly stratified with respect to the parameter on the interval , as proven in Lemma 2. For this family, the following statement holds:
Statement 4.
has a unique solution , and it holds that
and
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then
- (ii) If , then the equality
- (iii) If , then
- (iv) Each function from the family , for , has exactly one maximum at a point on the interval .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
where the function is an MTP function given by
(i) The claim follows directly from Statement 1 and based on the stratification. Namely, for , it holds that .
- (ii) Let us examine the monotonicity of functions for on the interval in a similar manner as in the proof of Statement 1. The second derivative of with respect to x is
Let us note that
on the interval . Thus, the function is decreasing on the observed interval. Considering that is a decreasing function on the interval and that , it follows that
for . Hence,
for .
The Taylor expansion of the family of functions around zero is
Therefore, there exists a right neighborhood of zero such that
for . The Taylor expansion of the family of functions around is
Therefore, there exists a left neighborhood of such that
for .
By analyzing the monotonicity of the functions , , and for on the interval , in a similar manner as in the proof of Statement 1 and based on (32)–(34), it can be concluded that each function , for , has exactly one maximum on the interval . From and , for , the corresponding inequalities follow.
- (iii) The claim follows directly from Statement 2 and based on the stratification. Namely, for , it holds that .
- (iv) It has been proven within proof .
- (v) Note that the infimum of the error , for , exists and is attained when
Equation (35) can be numerically solved using the computer algebra system Maple, thus yielding the value of the parameter , which is numerically determined as
which determines the minimax approximant of the family of functions . □
In order to improve and extend Theorem 3, we consider the family of functions for the case . The family of functions reduces to
and is decreasingly stratified with respect to the parameter on the interval , as proven in Lemma 2. For this family, the following statement holds:
Statement 5.
has a unique solution , and it holds that
and
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then
- (ii) If , then the equality
- (iii) If , then
- (iv) Each function from the family , for , has exactly one minimum at a point on the interval .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
where the function is an MTP function given by
The claim follows directly from Statement 2 and based on the stratification. Namely, for , it holds that .
- (ii) Let us examine the monotonicity of functions for on the interval in a similar manner as in the proof of Statement 1. The third derivative of with respect to x is
Let us note that
on the interval . Thus, the function is increasing on the observed interval. Considering that is an increasing function on the interval and that , it follows that
for . Hence,
for .
The Taylor expansion of the family of functions around zero is
Therefore, there exists a right neighborhood of zero such that
for . The Taylor expansion of the family of functions around is
Therefore, there exists a left neighborhood of such that
for .
By analyzing the monotonicity of the functions , , , and for on the interval , in a similar manner as in the proof of Statement 1 and based on (38)–(40), it can be concluded that each function , for , has exactly one minimum on the interval . From and , for , the corresponding inequalities follow.
- (iii) The claim follows directly from Statement 1 and based on the stratification. Namely, for , it holds that .
- (iv) It has been proven within proof .
- (v) Note that the infimum of the error , for , exists and is attained when
Equation (41) can be numerically solved using the computer algebra system Maple, thus yielding the value of the parameter , which is numerically determined as
which determines the minimax approximant of the family of functions . □
In order to improve and extend Theorem 4, we consider the family of functions for the case . The family of functions reduces to
and is decreasingly stratified with respect to the parameter on the interval , as proven in Lemma 2. For this family, the following statement holds:
Statement 6.
has a unique solution , and it holds that
and
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then
- (ii) If , then the equality
- (iii) If , then
- (iv) Each function from the family , for , has exactly one minimum at a point on the interval .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
It is analogous to the proof of Statement 5. □
In order to improve and extend Theorem 5, we consider the family of functions for the case . The family of functions reduces to
and is decreasingly stratified with respect to the parameter on the interval , as proven in Lemma 2. For this family, the following statement holds:
Statement 7.
has a unique solution , and it holds that
and
has the solution for the parameter , which is numerically determined as
Let
Then, it holds:
- (i) If , then
- (ii) If , then the equality
- (iii) If , then
- (iv) Each function from the family , for , has exactly one minimum at a point on the interval .
- (v) The equality
For value
it holds that
Hence, the minimax approximant of the family of functions is
which determines the corresponding (minimax) approximation
Proof.
It is analogous to the proof of Statement 5. □
Figure 3 illustrates the stratified families of functions , , , and ; see , , and , respectively. For each family, cases for all values of the parameter are shown. Particularly, cases with constants obtained in Statements 4–7, some of which are also obtained in Theorems 2–5, are singled out.
Figure 3.
Stratified families of functions (a) , (b) , (c) , and (d) .
4.2. Approximations of the Function
In this subsection, we provide some approximations of the function and analyze the maximum approximation errors. The previously obtained upper and lower bounds of the function can be used to derive some approximations of this function. Furthermore, more optimal approximations can be obtained through the corresponding minimax approximants.
In Table 1, we present some upper bounds of the function derived from Theorems 2–5, that is, Statements 4–7 and Statements 1 and 2. It is noteworthy that the upper bound from Theorem 3 (the best upper bound from Statement 5) is identical to the best upper bound from Statement 1.
Table 1.
Upper bounds of the function on the interval .
In Table 2, we present some lower bounds of the function derived from Theorems 2–5, that is, Statements 4–7 and Statements 1 and 2. It is noteworthy that the best lower bound from Statement 1 is identical to the best lower bound from Statement 2.
Table 2.
Lower bounds of the function on the interval .
In Table 3, we present some minimax approximations of the function derived from the minimax approximants of the families , , , , , and , respectively. These families are considered in Statements 4, 5, 6, and 7 with the aim of improving Theorems 2, 3, 4, and 5, respectively, and in Statements 1 and 2.
Table 3.
Minimax approximations of the function on the interval .
5. Conclusions
In this paper, two double Jordan-type inequalities have been obtained, thereby encompassing the inequalities established in papers [2,3,4,5,6]. These inequalities were explored in the context of stratified families of functions, which is a concept introduced in recent research [23]. The introduction of stratified families of functions enables the derivation of known results for specific parameter choices, including the analysis of parameter values previously unknown in the Theory of Analytic Inequalities. Furthermore, we identify parameter values within each examined family of functions for which the function, as a member of that family, exhibits some optimal properties (minimax approximant). Based on these minimax approximants and functions representing the upper and lower bounds of the function, we provided some approximations of the function. Additionally, we analyzed the errors associated with all mentioned approximations.
It is crucial to emphasize that the minimax approximant of the stratified family of functions is the function for which the minimal error in approximations is obtained within the given family of functions. Therefore, identifying those parameter values is significant in the Approximation Theory.
By considering the stratified family of functions individually with respect to two parameters, we were able to analyze Jordan-type inequalities in a unified manner, thereby resulting in both previously established and novel findings. Future research endeavors will focus on extending this approach even further.
Author Contributions
Conceptualization, M.M. and B.M.; methodology, M.M. and B.M.; software, M.M. and B.M.; validation, M.M. and B.M.; formal analysis, M.M. and B.M.; investigation, M.M. and B.M.; data curation, M.M. and B.M.; writing—original draft preparation, M.M. and B.M.; writing—review and editing, M.M. and B.M.; visualization, M.M. and B.M.; supervision, B.M.; All authors have read and agreed to the published version of the manuscript.
Funding
This work was financially supported by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia under the following contract numbers: 451-03-66/2024-03/200103 (for the first author) and 451-03-65/2024-03/200103 (for the second author).
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| MTP | Mixed Trigonometric Polynomial |
References
- Mitrinović, D. Analytic Inequalities; Springer: Berlin, Germany, 1970. [Google Scholar]
- Qi, F.; Guo, B.-N. On generalizations of Jordan’s inequality. Coal High. Educ. 1993, 32–33. (In Chinese) [Google Scholar]
- Qi, F. Extensions and sharpenings of Jordan’s and Kober’s inequality. J. Math. Technol. 1996, 12, 98–102. (In Chinese) [Google Scholar]
- Deng, K. The noted Jordan’s inequality and its extensions. J. Xiangtan Min. Inst. 1995, 10, 60–63. (In Chinese) [Google Scholar]
- Jiang, W.D.; Yun, H. Sharpening of Jordan’s inequality and its applications. J. Inequal. Pure Appl. Math. 2006, 7, 4. [Google Scholar]
- Li, J.-L.; Li, Y.-L. On the Strengthened Jordan’s Inequality. J. Inequal. Appl. 2008, 2007, 74328. [Google Scholar] [CrossRef][Green Version]
- Qi, F.; Niu, D.-W.; Guo, B.-N. Refinements, Generalizations, and Applications of Jordan’s Inequality and Related Problems. J. Inequal. Appl. 2009, 2009, 271923. [Google Scholar] [CrossRef]
- Özban, A.Y. A new refined form of Jordan’s inequality and its applications. Appl. Math. Lett. 2006, 19, 155–160. [Google Scholar] [CrossRef]
- Li, J.-L. An identity related to Jordan’s inequality. Int. J. Math. Math. Sci. 2006, 2006, 76782. [Google Scholar] [CrossRef]
- Zhu, L. Sharpening Jordan’s inequality and the Yang Le inequality. Appl. Math. Lett. 2006, 19, 240–243. [Google Scholar] [CrossRef]
- Zhu, L. Sharpening Jordan’s inequality and the Yang Le inequality, II. Appl. Math. Lett. 2006, 19, 990–994. [Google Scholar] [CrossRef]
- Zhu, L. A general refinement of Jordan-type inequality. Comput. Math. Appl. 2008, 55, 2498–2505. [Google Scholar] [CrossRef][Green Version]
- Niu, D.-W.; Huo, Z.-H.; Cao, J.; Qi, F. A general refinement of Jordan’s inequality and a refinement of L. Yang’s inequality. Integral Transform. Spec. Funct. 2008, 19, 157–164. [Google Scholar] [CrossRef]
- Chen, C.-P.; Debnath, L. Sharpness and generalization of Jordan’s inequality and its application. Appl. Math. Lett. 2012, 25, 594–599. [Google Scholar] [CrossRef]
- Barbu, C.; Pişcoran, L.-I. Jordan type inequalities using monotony of functions. J. Math. Inequal. 2014, 8, 83–89. [Google Scholar] [CrossRef]
- Aharonov, D.; Elias, U. More Jordan type inequalities. Math. Inequal. Appl. 2014, 17, 1563–1577. [Google Scholar] [CrossRef]
- Alzer, H.; Kwong, M.K. On Jordan’s inequality. Period. Math. Hung. 2018, 77, 191–200. [Google Scholar] [CrossRef]
- Zhang, L.; Ma, X. New Refinements and Improvements of Jordan’s Inequality. Mathematics 2018, 6, 284. [Google Scholar] [CrossRef]
- Zhang, L.; Ma, X. New Polynomial Bounds for Jordan’s and Kober’s Inequalities Based on the Interpolation and Approximation Method. Mathematics 2019, 7, 746. [Google Scholar] [CrossRef]
- Zhang, B.; Chen, C.-P. Sharpness and generalization of Jordan, Becker-Stark and Papenfuss inequalities with an application. J. Math. Inequal. 2019, 13, 1209–1234. [Google Scholar] [CrossRef]
- Haque, N. A Short Calculus Proof of Jordan’s Inequality. Camb. Open Engag. 2020. [Google Scholar] [CrossRef]
- Popa, E.C. A note on Jordan’s inequality. Gen. Math. 2020, 28, 97–102. [Google Scholar] [CrossRef]
- Malešević, B.; Mihailović, B. A minimax approximant in the theory of analytic inequalities. Appl. Anal. Discret. Math. 2021, 15, 486–509. [Google Scholar] [CrossRef]
- Malešević, B.; Mićović, M. Exponential Polynomials and Stratification in the Theory of Analytic Inequalities. J. Sci. Arts 2023, 23, 659–670. [Google Scholar] [CrossRef]
- Malešević, B.; Jovanović, D. Frame’s Types of Inequalities and Stratification. CUBO Math. J. 2024, 26, 1–19. [Google Scholar] [CrossRef]
- Chen, S.; Ge, X. A solution to an open problem for Wilker-type inequalities. J. Math. Inequal. 2021, 15, 59–65. [Google Scholar] [CrossRef]
- Malešević, B.; Mihailović, B.; Nenezić Jović, M.; Milinković, L. Some minimax approximants of D’Aurizio trigonometric inequalities. HAL 2022, hal-03550277. [Google Scholar]
- Chen, C.-P.; Mortici, C. The relationship between Huygens’ and Wilker’s inequalities and further remarks. Appl. Anal. Discret. Math. 2023, 17, 92–100. [Google Scholar] [CrossRef]
- Sándor, J. On D’Aurizio’s trigonometric inequality. J. Math. Inequal. 2016, 10, 885–888. [Google Scholar] [CrossRef]
- Sándor, J. Extensions of D’Aurizio’s trigonometric inequality. Notes Number Theory Discret. Math. 2017, 23, 81–83. [Google Scholar]
- Hung, L.-C.; Li, P.-Y. On generalization of D’Aurizio-Sándor inequalities involving a parameter. J. Math. Inequal. 2018, 12, 853–860. [Google Scholar] [CrossRef]
- Malešević, B.; Makragić, M. A method for proving some inequalities on mixed trigonometric polynomial functions. J. Math. Inequal. 2016, 10, 849–876. [Google Scholar] [CrossRef]
- Pinelis, I. L’Hospital type rules for monotonicity, with applications. J. Inequal. Pure Appl. Math. 2002, 3, 5. [Google Scholar]
- Estrada, R.; Pavlović, M. L’Hôpital’s monotone rule, Gromov’s theorem, and operations that preserve the monotonicity of quotients. Publ. Inst. Math. 2017, 101, 11–24. [Google Scholar] [CrossRef]
- Cutland, N. Computalibity: An Introduction to Recursive Funtion Theory; Cambridge University Press: Cambridge, UK, 1980. [Google Scholar]
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