Abstract
In this paper, we present four new Windschitl type approximation formulas for the gamma function. By some unique ideas and techniques, we prove that four functions combined with the gamma function and Windschitl type approximation formulas have good properties, such as monotonicity and convexity. These not only yield some new inequalities for the gamma and factorial functions, but also provide a new proof of known inequalities and strengthen known results.
Keywords: Gamma function, Windschitl type approximation formula, Monotonicity, Convexity, Inequality
Introduction
For , the classical Euler’s gamma function Γ and psi (digamma) function ψ are defined by
| 1.1 |
respectively. The derivatives , , are known as polygamma functions. The gamma function has various important applications in many branches of science. For this reason, scholars strive to find various better approximations for the factorial or gamma function by using different ideas and techniques, for instance, Ramanujan [1, p. 339], Burnside [2], Gosper [3], Alzer [4], Shi et al. [5], Batir [6, 7], Mortici [8–12], Nemes [13, Corollary 4.1], [14], Qi et al. [15, 16], Feng and Wang [17], Chen [18–21], Yang et al. [22–25], Lu et al. [26–28], Xu et al. [29]. Some properties of the remainders of certain approximations for the gamma function can be found in [4, 16, 23, 30–35].
In this paper, we are interested in Windschitl’s approximation formula (see [36]) given by
| 1.2 |
As shown in [21, Eq. (3.18)], the rate of Windschitl’s approximation converging to is like as , and like if one replaces with
| 1.3 |
by an easy check. These show that and are more accurate approximations for the gamma function. In 2009, Alzer [37] proved that for all ,
| 1.4 |
with the best possible constants and . Recently, Lu, Song and Ma [27] extended Windschitl’s formula to an asymptotic expansion:
| 1.5 |
as with , and proved that there exists an m such that, for every , the double inequality
| 1.6 |
holds. An explicit formula for determining the coefficients of () was given in [19, Theorem 1] by Chen. Another asymptotic expansion
| 1.7 |
was presented in the same paper [19, Theorem 2].
Let us consider the four new Windschitl type approximation formulas, as , which are
| 1.8 |
| 1.9 |
| 1.10 |
| 1.11 |
The aim of this paper is, by investigating the monotonicity and convexity of the functions
to establish some new sharp inequalities between the gamma function and Windschitl’s approximation formula . As a by-product, a concise proof of Alzer inequalities (1.4) is presented, and a strengthening for Lu et al.’s inequalities (1.6) is given.
The rest of this paper is organized as follows. In Sect. 2, three lemmas are given, which are crucial to the proofs of our results. In Sect. 3, five monotonicity and convexity results for the functions constructed from the gamma function and Windschilt’s formula are proved. Some new inequalities between the gamma or factorial functions with Windschilt’s formula are established in Sect. 4. In Sect. 5, numeric comparisons of several better approximation formulas are presented.
Lemmas
To prove our results, we need three lemmas as follows.
Lemma 1
The inequalities
| 2.1 |
| 2.2 |
hold for .
Proof
The inequality (2.1) was proved in [38, Remark 2.2].
Let
Then we have
Hence, we conclude that
which proves the first inequality of (2.2).
Analogously, we have
It then follows that
which proves the second formula of (2.2). This completes the proof. □
Lemma 2
The inequalities
| 2.3 |
| 2.4 |
hold for all .
Proof
The inequalities in question are equivalent to
and
for , respectively.
Expanding into a power series yields
where
We assert that for , since can be written as
which is evidently positive for . Hence for all . While
where
It is easy to check that
for , which proves for . The proof is complete. □
The following lemma offers a simple criterion to determine the sign of a class of special polynomials on given interval contained in without using Descartes’ Rule of Signs, which plays an important role in studying certain special functions, see, for example, [39, 40]. A series version can be found in [41, 42].
Lemma 3
([39, Lemma 7])
Let and with and let be an nth degree polynomial defined by
| 2.5 |
where , for with . Then there is a unique number satisfying such that for and for .
Consequently, for a given , if then for and if then for .
Monotonicity and convexity
Theorem 1
T he function
is strictly decreasing and convex on .
Proof
Differentiation yields
Replacing x by in inequality (2.1) leads to
and using which to gives
Simplifying yields
where
Expanding into a power series gives
where the inequality holds due to
for .
It then follows that for , so for . This yields , which proves the desired result. □
Theorem 2
The function
is strictly increasing and concave on .
Proof
Differentiation yields
Since , it suffices to prove for . Replacing x by in the right-hand side inequality of (2.2) leads to
| 3.1 |
which indicates that
where
Using the inequality
yields
for , where the inequality holds due to
for . This implies that for all , and the proof is complete. □
Theorem 3
The function
is strictly increasing and concave on .
Proof
We clearly see that
where . By Theorem 2, is strictly increasing and concave on , so if we prove is strictly increasing and concave on , then so will be , and the proof will be complete. Now we easily check that for ,
which completes the proof. □
Theorem 4
The function
is strictly decreasing and convex on .
Proof
Differentiation yields
Since , it suffices to prove for . Replacing x by in the left-hand side inequality of (2.2) leads to
and applying which to gives
Making a change of variable yields
We distinguish two cases to prove for all .
Case 1: . Application of inequality (2.3) gives
where
Clearly, for , so for .
Case 2: . Using inequality (2.4) yields
where
Since the coefficients of polynomial satisfy the conditions of Lemma 3 and , we find that for , and then for .
This ends the proof. □
Theorem 5
The function
is strictly decreasing and convex on .
Proof
We easily see that
where . By Theorem 4, is strictly decreasing and convex on , so if we prove is strictly increasing and concave on , then so will be , and the proof will be complete. Now we easily check that for ,
where the last inequality holds due to
which completes the proof. □
Inequalities
As is well known, analytic inequalities [43–45] play a very important role in different branches of modern mathematics. Using the theorems presented in the previous section, we can obtain some new inequalities for the gamma function and factorial function related to Windschitl’s formula.
Corollary 1
Let be defined by (1.2). Then the inequalities
| 4.1 |
hold for all . If , then we have
| 4.2 |
Proof
The first and second inequalities in (4.1) follow directly from the monotonicity of , and on given in Theorems 1, 4 and 2, respectively, due to . The third one holds due to a simple inequality for . The proof of inequalities (4.2) is similar, which completes the proof. □
Using the monotonicity of , and on and noting that
we immediately get the following corollary.
Corollary 2
For , the inequalities
hold with the best constants , and .
The proof of inequalities (1.4) presented by Alzer [37] seems to be somewhat complicated. With the aid of the first and second inequalities in (4.1), we can give a new and simpler proof.
Proof of inequalities (1.4)
The sufficiency for the inequalities (1.4) to hold for follows by the first and second inequalities in (4.1). The necessary condition for the left-hand side inequality of (1.4) to hold for follows from the following relation:
While the necessary condition for the right-hand side of (1.4) to hold for follows from the limit relation
This completes the proof. □
The following corollary offers a strengthening for Lu et al.’s inequalities (1.6).
Corollary 3
The inequalities
| 4.3 |
hold for , where for the second, third and fourth inequalities, while for the first one, here is the unique solution of the equation
on .
Proof
Clearly, the second and third inequalities of (4.3) follow by the first and second inequalities in (4.1). It remains to prove the first and last inequalities of (4.3).
(i) The last one is equivalent to
or equivalently,
for . Denote by and . Then by Taylor formula we have
where . Since , we get
where
Due to
we conclude that for .
(ii) To ensure that the first inequality holds, it is necessary to establish
for , for which it suffices so show that
By Lemma 3, the numerator in the above fraction, as an 8th degree polynomial, has a unique zero on . Numeric computation gives .
Now the first inequality is equivalent to
or equivalently,
for , where is clearly the unique zero of the polynomial
on . In view of , we have
which completes the proof. □
Remark 1
Clearly, the proof of Corollary 3 can also be regarded as a new proof of Lu et al.’s inequalities (1.6). Moreover, our proof gives the minimum value of m, i.e., , such that the the double inequality (1.6) holds for all .
Numeric comparisons
By the asymptotic expansion listed in [46, Eq. (6.1.40)]
| 5.1 |
we easily verify that our four approximation formulas , , and , defined by (1.8), (1.10), (1.9) and (1.11), respectively, have the following limit relations:
Also, for another approximation formula defined by (1.3), we have
Denote the two approximation formulas generated by the double inequality (1.6) by
| 5.2 |
| 5.3 |
We have
These, in combination with Corollaries 2, 1 and 3, show that the approximation formula given by (1.9) is the best among those listed above, which can be seen from comparison Table 1.
Table 1.
| n | |||||
|---|---|---|---|---|---|
| 1 | 3.065 × 10−4 | 5.655 × 10−4 | 1.832 × 10−4 | 2.754 × 10−4 | 4.686 × 10−4 |
| 2 | 1.098 × 10−6 | 1.629 × 10−6 | 2.668 × 10−6 | 3.449 × 10−6 | 5.030 × 10−6 |
| 5 | 3.956 × 10−10 | 5.367 × 10−10 | 5.743 × 10−9 | 7.054 × 10−9 | 9.681 × 10−9 |
| 10 | 8.221 × 10−13 | 1.098 × 10−12 | 4.710 × 10−11 | 5.738 × 10−11 | 7.794 × 10−11 |
| 20 | 1.630 × 10−15 | 2.172 × 10−15 | 3.727 × 10−13 | 4.531 × 10−13 | 6.138 × 10−13 |
| 50 | 4.300 × 10−19 | 5.715 × 10−19 | 6.129 × 10−16 | 7.445 × 10−16 | 1.008 × 10−15 |
| 100 | 8.404 × 10−22 | 1.117 × 10−21 | 4.791 × 10−18 | 5.819 × 10−18 | 7.877 × 10−18 |
Conclusion
In this paper, we provide four Windschitl type approximation formulas for the gamma function, and prove that those functions, involving the gamma function and Windschitl type functions, have good properties, including monotonicity and convexity. From these facts we obtain some new sharp Windschitl type bounds for the gamma and factorial functions. These sharp inequalities, together with numerical comparisons, illustrate that defined by (1.9) is the best approximation formula among those mentioned in Sect. 5.
Moreover, we give a simple proof of Alzer’s inequalities (1.4), and improve and strengthen Lu et al.’s inequalities (1.6).
It is worth mentioning that our proofs of Theorems 1–5 are subtle and interesting, since the approximations deal with the gamma and hyperbolic sine functions, and it is difficult to establish their monotonicity and convexity by usual methods. Evidently, Lemmas 2 and 3 play important roles.
Acknowledgements
The authors would like to express their sincere thanks to the anonymous referees for their great efforts to improve this paper.
Authors’ contributions
All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.
Funding
This work was supported by the Fundamental Research Funds for the Central Universities (No. 2015ZD29) and the Higher School Science Research Funds of Hebei Province of China (No. Z2015137).
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Zhen-Hang Yang, Email: yzhkm@163.com.
Jing-Feng Tian, Email: tianjf@ncepu.edu.cn.
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