Skip to main content

The Optimal Convex Combination Bounds of Arithmetic and Harmonic Means for the Seiffert's Mean

Abstract

We find the greatest value and least value such that the double inequality holds for all with . Here , , and denote the arithmetic, harmonic, and Seiffert's means of two positive numbers and , respectively.

1. Introduction

For with the Seiffert's mean was introduced by Seiffert [1] as follows:

(1.1)

Recently, the inequalities for means have been the subject of intensive research [2–11]. In particular, many remarkable inequalities for the Seiffert's mean can be found in the literature [12–17]. The Seiffert's mean can be rewritten as (see [14, ()])

(1.2)

Let , , , , and be the arithmetic, geometric, harmonic, identric, and logarithmic means of two positive real numbers and with . Then

(1.3)

In [1], Seiffert proved that

(1.4)

for all with .

Later, Seiffert [18] established that

(1.5)

for all with .

In [19], Sándor proved that

(1.6)

for all with .

The following bounds for the Seiffert's mean in terms of the power mean were presented by Jagers in [17]:

(1.7)

for all with .

Hästö [13] found the sharp lower power bound for the Seiffert's mean as follows:

(1.8)

for all with .

The purpose of this paper is to find the greatest value and the least value such that the double inequality holds for all with .

2. Main Result

Theorem 2.1.

The double inequality holds for all with if and only if and .

Proof.

Firstly, we prove that

(2.1)
(2.2)

for all with .

Without loss of generality, we assume . Let and . Then (1.1) leads to

(2.3)

Let

(2.4)

Then simple computations lead to

(2.5)
(2.6)
(2.7)

where

(2.8)

We divide the proof into two cases.

Case 1.

If , then it follows from (2.8) that

(2.9)

for .

Therefore, inequality (2.1) follows from (2.3)–(2.5) and (2.7) together with (2.9).

Case 2.

If , then from (2.8) we have

(2.10)
(2.11)
(2.12)
(2.13)
(2.14)
(2.15)
(2.16)
(2.17)
(2.18)
(2.19)
(2.20)
(2.21)
(2.22)
(2.23)
(2.24)
(2.25)

From (2.24) and (2.25) we clearly see that for , hence is strictly decreasing in . It follows from (2.22) and (2.23) together with the monotonicity of that there exists such that for and for , hence is strictly increasing in and strictly decreasing in .

From (2.19) and (2.20) together with the monotonicity of we know that there exists such that for ) and for , hence, is strictly increasing in and strictly decreasing in .

From (2.16) and (2.17) together with the monotonicity of we clearly see that there exists such that is strictly increasing in and strictly decreasing in . It follows from (2.13) and (2.14) together with the monotonicity of that there exists such that is strictly increasing in and strictly decreasing in . Then (2.7), (2.10) and (2.11) imply that there exists such that is strictly increasing in and strictly decreasing in .

Note that (2.6) becomes

(2.26)

for .

It follows from (2.5) and (2.26) together with the monotonicity of that

(2.27)

for .

Therefore, inequality (2.2) follows from (2.3) and (2.4) together with (2.27).

Secondly, we prove that is the best possible upper convex combination bound of arithmetic and harmonic means for the Seiffert's mean .

For any and , from (1.1) we have

(2.28)

where

(2.29)

It follows from (2.29) that

(2.30)
(2.31)

If , then (2.31) leads to

(2.32)

From (2.32) and the continuity of we clearly see that there exists such that

(2.33)

for . Then (2.30) and (2.33) imply that

(2.34)

for .

Therefore, for follows from (2.28) and (2.34).

Finally, we prove that is the best possible lower convex combination bound of arithmetic and harmonic means for the Seiffert's mean .

For , then from (1.1) one has

(2.35)

Inequality (2.35) implies that for any there exists such that for .

References

  1. Seiffert H-J: Problem 887. Nieuw Archief voor Wiskunde 1993, 11(2):176–176.

    MathSciNet  Google Scholar 

  2. Wang M-K, Chu Y-M, Qiu Y-F: Some comparison inequalities for generalized Muirhead and identric means. Journal of Inequalities and Applications 2010, 2010:-10.

    Google Scholar 

  3. Long B-Y, Chu Y-M: Optimal inequalities for generalized logarithmic, arithmetic, and geometric means. Journal of Inequalities and Applications 2010, 2010:-10.

    Google Scholar 

  4. Long B-Y, Chu Y-M: Optimal power mean bounds for the weighted geometric mean of classical means. Journal of Inequalities and Applications 2010, 2010:-6.

    Google Scholar 

  5. Xia W-F, Chu Y-M, Wang G-D: The optimal upper and lower power mean bounds for a convex combination of the arithmetic and logarithmic means. Abstract and Applied Analysis 2010, 2010:-9.

    Google Scholar 

  6. Chu Y-M, Long B-Y: Best possible inequalities between generalized logarithmic mean and classical means. Abstract and Applied Analysis 2010, 2010:-13.

    Google Scholar 

  7. Shi M-Y, Chu Y-M, Jiang Y-P: Optimal inequalities among various means of two arguments. Abstract and Applied Analysis 2009, 2009:-10.

    Google Scholar 

  8. Chu Y-M, Xia W-F: Two sharp inequalities for power mean, geometric mean, and harmonic mean. Journal of Inequalities and Applications 2009, 2009:-6.

    Google Scholar 

  9. Chu Y-M, Xia W-F: Inequalities for generalized logarithmic means. Journal of Inequalities and Applications 2009, 2009:-7.

    Google Scholar 

  10. Wen J-J, Wang W-L: The optimization for the inequalities of power means. Journal of Inequalities and Applications 2006, 2006:-25.

    Google Scholar 

  11. Hara T, Uchiyama M, Takahasi S-E: A refinement of various mean inequalities. Journal of Inequalities and Applications 1998, 2(4):387–395. 10.1155/S1025583498000253

    MathSciNet  MATH  Google Scholar 

  12. Neuman E, Sándor J: On the Schwab-Borchardt mean. II. Mathematica Pannonica 2006, 17(1):49–59.

    MathSciNet  MATH  Google Scholar 

  13. Hästö PA: Optimal inequalities between Seiffert's mean and power means. Mathematical Inequalities & Applications 2004, 7(1):47–53.

    Article  MathSciNet  MATH  Google Scholar 

  14. Neuman E, Sándor J: On the Schwab-Borchardt mean. Mathematica Pannonica 2003, 14(2):253–266.

    MathSciNet  MATH  Google Scholar 

  15. Neuman E, Sándor J: On certain means of two arguments and their extensions. International Journal of Mathematics and Mathematical Sciences 2003, (16):981–993.

  16. Hästö PA: A monotonicity property of ratios of symmetric homogeneous means. Journal of Inequalities in Pure and Applied Mathematics 2002, 3(5, article 71):1–23.

    MathSciNet  MATH  Google Scholar 

  17. Jagers AA: Solution of problem 887. Nieuw Archief voor Wiskunde 1994, 12: 230–231.

    Google Scholar 

  18. Seiffert H-J: Ungleichungen für einen bestimmten Mittelwert. Nieuw Archief voor Wiskunde 1995, 13(2):195–198.

    MathSciNet  Google Scholar 

  19. Sándor J: On certain inequalities for means. III. Archiv der Mathematik 2001, 76(1):34–40. 10.1007/s000130050539

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

The authors wish to thank the anonymous referees for their very careful reading of the manuscript and fruitful comments and suggestions. This research is partly supported by N S Foundation of China (Grant 60850005), N S Foundation of Zhejiang Province (Grants Y7080106 and Y607128), and the Innovation Team Foundation of the Department of Education of Zhejiang Province (Grant T200924).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Ming Chu.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Chu, YM., Qiu, YF., Wang, MK. et al. The Optimal Convex Combination Bounds of Arithmetic and Harmonic Means for the Seiffert's Mean. J Inequal Appl 2010, 436457 (2010). https://doi.org/10.1155/2010/436457

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1155/2010/436457

Keywords