Shafer-Fink type inequalities for arc lemniscate functions
Minjie Wei, Yue He, Gendi Wang

TL;DR
This paper establishes sharp Shafer-Fink type inequalities for arc lemniscate and hyperbolic arc lemniscate functions, enhancing understanding of their monotonicity and bounds.
Contribution
It introduces new sharp inequalities for arc lemniscate functions, extending Shafer-Fink inequalities to these special functions.
Findings
Proved sharp Shafer-Fink type inequalities for arc lemniscate functions.
Analyzed monotonicity properties of functions involving arc lemniscate.
Extended inequalities to hyperbolic arc lemniscate functions.
Abstract
In this paper, we investigate the monotonicity and inequalities for some functions involving the arc lemniscate and the hyperbolic arc lemniscate functions. In particular, sharp Shafer-Fink type inequalities for the arc lemniscate and the hyperbolic arc lemniscate functions are proved.
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Taxonomy
TopicsMathematical Inequalities and Applications · Functional Equations Stability Results · Analytic and geometric function theory
††footnotetext: File: lemnfun20181008.tex, printed: 2024-3-16, 17.36
Shafer-Fink type inequalities for arc lemniscate functions
Minjie Wei
**Minjie Wei
**School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China
,
Yue He
**Yue He
**School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China
and
Gendi Wang
Gendi Wang (*Corresponding author)
School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China
Abstract.
In this paper, we investigate the monotonicity and inequalities for some functions involving the arc lemniscate and the hyperbolic arc lemniscate functions. In particular, sharp Shafer-Fink type inequalities for the arc lemniscate and the hyperbolic arc lemniscate functions are proved.
Keywords. arc lemniscate functions, hyperbolic arc lemniscate functions, lemniscate functions, hyperbolic lemniscate functions, Shafer-Fink type inequalities
Mathematics Subject Classification (2010). 26D07, 33E05
1. Introduction
The arc lemniscate sine function and the hyperbolic arc lemniscate sine function are defined as follows [3, p.259]:
[TABLE]
and
[TABLE]
respectively. The limiting values of the above two functions are [3, Theorem 1.7]
[TABLE]
and
[TABLE]
where
[TABLE]
is the complete elliptic integral of the first kind. The arc lemniscate sine function shows the arc length of the lemniscate from the origin to the point with radial position . The arc lemniscate sine function and the hyperbolic arc lemniscate sine function are the generalized -trigonometric sine and -hyperbolic sine functions [20], respectively. The generalized -trigonometric and hyperbolic functions are related to the -eigenvalue problem of -Laplacian, which attracts many researchers’ attention [2, 6, 8, 9, 20].
The arc lemniscate tangent function and the hyperbolic arc lemniscate tangent function are defined in terms of the arc lemniscate sine function and the hyperbolic arc lemniscate sine function, respectively [12, (3.5)(3.6)]:
[TABLE]
and
[TABLE]
The inverses of the above four arc lemniscate functions, the lemniscate sine function , the hyperbolic lemniscate sine function , the lemniscate tangent function , and the hyperbolic lemniscate tangent function , have the following relations [13, (2.11)(2.12)]:
[TABLE]
and
[TABLE]
In 1966, Shafer proposed the following inequality [18]
[TABLE]
which was solved next year [19]. In 2011 , Chen, Cheung and Wang [4] found the best possible numbers for the following inequalities for every
[TABLE]
Fink [7] found the upper bound and Mortici [11] the lower bound for the arc sine function as follows:
[TABLE]
For more refinements and extensions of such kind of inequalities for trigonometric and hyperbolic functions and other related functions, the reader is referred to [5, 8, 10, 16, 17].
In this paper, we continue the study of the so-called Shafer-Fink type inequalities for the arc lemniscate functions. Specifically, we try to find the best possible numbers e.g., for the arc lemniscate sine function:
[TABLE]
Our results are stated in the following two theorems.
Theorem 1.4**.**
The following inequalities hold:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Moreover, all the constants in the inequalities are the best possible in the sense of the form of (1.3).
Theorem 1.9**.**
The following inequalities hold:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Moreover, all the constants in the inequalities are the best possible in the sense of the form of (1.3).
2. Basic properties
By the definitions and the chain rule, we easily obtain the following derivative formulas of the arc lemniscate and the hyperbolic arc lemniscate functions:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
By the definitions and the inverse function theorem, we easily obtain the following derivative formulas of the lemniscate and the hyperbolic lemniscate functions:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
The following derivative formulas are useful:
[TABLE]
[TABLE]
It is proved in [14, Lemma 4.1] that for , there hold
[TABLE]
and
[TABLE]
By Lemma 3.1 in the next section, the inequalities (2.1) and (2.2) actually hold for and , respectively. Therefore, it is natural to ask: are the functions and comparable, as well as the functions and for ? Since the functions , , and are all less than 1 for , we would further compare these four functions. The following Theorem 2.3 shows the conclusion.
Theorem 2.3**.**
For , the following inequalities are valid:
[TABLE]
[TABLE]
Remark 2.6**.**
*(1) The functions and are not comparable on the whole interval as shown in Fig. 1.
(2) By [15, Theorem4.1], we can get a similar comparison between the arc lemniscate and the hyperbolic arc lemniscate functions as (2.4):*
[TABLE]
To prove Theorem 2.3, we need some lemmas. The following Lemma 2.8 is of great use in deriving monotonicity properties.
Lemma 2.8**.**
[1, Theorem 1.25]* (l’Hôpital’s rule) For , let functions be continuous on , and be differentiable on , and let on . If is increasing (deceasing) on , then so are*
[TABLE]
If is strictly monotone, then the monotonicity in the conclusion is also strict.
Lemma 2.9**.**
For , there holds
[TABLE]
Proof.
Let . By differentiation, we get
[TABLE]
which implies that is strictly decreasing. Hence we have . Then the inequality (2.10) follows. ∎
Lemma 2.11**.**
For , there hold
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.
(1) Given , let and . By (2.10), we obtain
[TABLE]
Then since is strictly increasing on . Hence the inequality (2.12) follows.
(2) By (2.12) and (1.1), we have
[TABLE]
and hence
[TABLE]
Together with (1.2), we have
[TABLE]
which implies the inequality (2.13).
(3) Let , where and . Then and
[TABLE]
Clearly, . By differentiation, we have
[TABLE]
Differentiation yields
[TABLE]
[TABLE]
which implies and hence is strictly increasing. By Lemma 2.8, we see that is strictly increasing. Since , we get
[TABLE]
Thus the inequality (2.14) follows.
(4) Let . By (1.1), (1.2), (2.16) and (2.17), we have
[TABLE]
This follows the inequality (2.15). ∎
Proof of Theorem 2.3.
By (2.1), (2.2), (2.12) and (2.13), we obtain the inequalities (2.4). Utilizing (2.4), (2.14) and (2.15), we get the inequalities (2.5). ∎
3. Shafer-Fink type inequalities
In this section, we will prove the main Theorem 1.4 and Theorem 1.9. We first prove monotonicity properties of some functions involving the arc lemniscate and the hyperbolic arc lemniscate functions.
Lemma 3.1**.**
*(1) The function is strictly increasing on with range ;
(2) The function is strictly decreasing on with range ;
(3) The function is strictly decreasing on with range ;
(4) The function is strictly increasing on with range .
Proof.
(1) Write , where and . Then and
[TABLE]
which is strictly increasing. Hence is strictly increasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(2) Write , where and . Then and
[TABLE]
which is strictly decreasing. Hence is strictly decreasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(3) Write , where and . Then and
[TABLE]
which is strictly decreasing. Hence is strictly decreasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(4) Write , where and . Then and
[TABLE]
which is strictly increasing. Hence is strictly increasing by Lemma 2.8. The limiting value
[TABLE]
and is clear. ∎
Lemma 3.2**.**
*(1) The function is strictly increasing on with range ;
(2) The function is strictly decreasing on with range ;
(3) The function is strictly decreasing on with range ;
(4) The function is strictly increasing on with range .*
Proof.
(1) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
which is strictly increasing by Lemma 3.1(1). Hence is strictly increasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(2) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
which is strictly decreasing by Lemma 3.1(2). Hence is strictly decreasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(3) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
which is strictly decreasing by Lemma 3.1(3). Hence is strictly decreasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(4) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
which is strictly increasing by Lemma 3.1(4). Hence is strictly increasing by Lemma 2.8. The limiting value
[TABLE]
and is clear. ∎
Proof of Theorem 1.4.
The inequalities (1.5) – (1.8) follow from the odevity of the arc lemniscate and the hyperbolic arc lemniscate functions and the monotonicity properties of the functions in Lemma 3.2. It is easy to see that the constants in the inequalities are best possible from the ranges and the monotonicity of the corresponding functions in Lemma 3.2. ∎
Lemma 3.3**.**
*(1) The function is strictly decreasing on with range ;
(2) The function is strictly increasing on with range ;
(3) The function is strictly increasing on with range ;
(4) The function is strictly decreasing on with range .*
Proof.
(1) Write , where and . Then and
[TABLE]
which is strictly decreasing. Hence is strictly decreasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(2) Write , where and . Then and
[TABLE]
which is strictly increasing. Hence is strictly increasing by Lemma 2.8. The limiting value
[TABLE]
and is clear.
(3) By differentiation, we have
[TABLE]
By Lemma 3.1(3), we get
[TABLE]
Then and hence is strictly increasing. The limiting value follows from Lemma 3.1(3) and is clear.
(4) By differentiation, we have
[TABLE]
By Lemma 3.1(4), we get
[TABLE]
Then and hence is strictly decreasing. The limiting value follows from Lemma 3.1(4) and is clear. ∎
Lemma 3.4**.**
*(1) The function is strictly decreasing on with range ;
(2) The function is strictly increasing on with range .
(3) The function is strictly increasing on with range .
(4) The function is strictly decreasing on with range .*
Proof.
(1) Write , where and . Then and
[TABLE]
where and . Clearly, . By differentiation, we get
[TABLE]
where is the same as in Lemma 3.3(1). Hence is strictly decreasing by Lemma 3.3(1) and Lemma 2.8. The limiting value
[TABLE]
and is clear.
(2) Write , where and . Then and
[TABLE]
where and . Clearly, . By differentiation, we get
[TABLE]
where is the same as in Lemma 3.3(2). Hence is strictly increasing by Lemma 3.3(2) and Lemma 2.8. The limiting value
[TABLE]
and is clear.
(3) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
where is the same as in Lemma 3.3(3). Hence is strictly increasing by Lemma 3.3(3) and Lemma 2.8. The limiting value
[TABLE]
and is clear.
(4) Write , where and . Then and
[TABLE]
Clearly, . By differentiation, we get
[TABLE]
where is the same as in Lemma 3.3(4). Hence is strictly decreasing by Lemma 3.3(4) and Lemma 2.8. The limiting value
[TABLE]
and is clear. ∎
Proof of Theorem 1.9.
The inequalities (1.10) – (1.13) follow from Lemma 3.4 with a similar argument in the proof of Theorem 1.4 . ∎
Remark 3.5**.**
In the recent paper [5], the authors considered the following problem: to decide the best possible constants and such that the inequalities
[TABLE]
hold for . Similar problems for several other arc lemniscate functions were also considered in the same paper. Since the constants in the denominators are fixed, these problems are not the same as ours in this paper. Our results in Theorem 1.4 and Theorem 1.9 refine the related inequalities in [5].
Acknowledgments
This research was supported by National Natural Science Foundation of China (NNSFC) under Grant No.11601485 and No.11771400, and Science Foundation of Zhejiang Sci-Tech University (ZSTU) under Grant No.16062023 -Y.
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