• No results found

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

N/A
N/A
Protected

Academic year: 2020

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

Copied!
7
0
0

Loading.... (view fulltext now)

Full text

(1)

Volume 2010, Article ID 436457,7pages doi:10.1155/2010/436457

Research Article

The Optimal Convex Combination

Bounds of Arithmetic and Harmonic Means for

the Seiffert’s Mean

Yu-Ming Chu,

1

Ye-Fang Qiu,

2

Miao-Kun Wang,

2

and Gen-Di Wang

1

1Department of Mathematics, Huzhou Teachers College, Huzhou 313000, China

2Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, China

Correspondence should be addressed to Yu-Ming Chu,[email protected]

Received 28 December 2009; Revised 17 April 2010; Accepted 22 April 2010

Academic Editor: Andrea Laforgia

Copyrightq2010 Yu-Ming Chu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We find the greatest valueαand least valueβsuch that the double inequalityαAa, b 1−

αHa, b< Pa, b< βAa, b1−βHa, bholds for alla, b >0 witha /b. HereAa, b,Ha, b, andPa, bdenote the arithmetic, harmonic, and Seiffert’s means of two positive numbersaand

b, respectively.

1. Introduction

Fora, b >0 witha /bthe Seiffert’s meanPa, bwas introduced by Seiffert1as follows:

Pa, b ab 4 arctana/bπ

. 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 literature12–17. The Seiffert’s meanPa, bcan be rewritten assee14,2.4

Pa, b ab

(2)

a , andLa, b ba/logb−logabe the arithmetic, geometric, harmonic, identric, and logarithmic means of two positive real numbersaandbwitha /b. Then

min{a, b}< Ha, b< Ga, b< La, b< Ia, b< Aa, b<max{a, b}. 1.3

In1, Seiffert proved that

La, b< Pa, b< Ia, b 1.4

for alla, b >0 witha /b.

Later, Seiffert18established that

Pa, b> 3Aa, bGa, b Aa, b 2Ga, b,

Pa, b> Aa, bGa, b La, b ,

Pa, b> 2

πAa, b

1.5

for alla, b >0 witha /b.

In19, S´andor proved that

1

2Aa, b Ga, b< Pa, b<

Aa, b

1

2Aa, b Ga, b,

A2/3a, bG1/3a, b< Pa, b< 2

3Aa, b 1 3Ga, b

1.6

for alla, b >0 witha /b.

The following bounds for the Seiffert’s mean Pa, b in terms of the power mean Mra, b arbr/21/r r /0were presented by Jagers in17:

M1/2a, b< Pa, b< M2/3a, b 1.7

for alla, b >0 witha /b.

H¨ast ¨o13found the sharp lower power bound for the Seiffert’s mean as follows:

Mlog 2/logπa, b< Pa, b 1.8

for alla, b >0 witha /b.

(3)

2. Main Result

Theorem 2.1. The double inequalityαAa, b1−αHa, b< Pa, b< βAa, b1−βHa, b

holds for alla, b >0witha /bif and only ifα≤2/πandβ≥5/6.

Proof. Firstly, we prove that

Pa, b< 5 6Aa, b

1

6Ha, b, 2.1

Pa, b> 2 πAa, b

1− 2

π

Ha, b 2.2

for alla, b >0 witha /b.

Without loss of generality, we assumea > b. Lett a/b > 1 andp ∈ {5/6,2/π}. Then1.1leads to

Pa, bpAa, b 1−pHa, b

b

pt21241pt2

2t214 arctantπ

2t41

pt442pt2p −4 arctan

.

2.3

Let

ft 2

t41

pt44−2pt2p −4 arctantπ. 2.4

Then simple computations lead to

lim

t→1ft 0, 2.5

lim

t→∞ft 2

pπ, 2.6

ft 4t−12

t21 pt442pt2p2gt, 2.7

where

gtp2t62p22p4t5p212p8t4

4p220p16t3p212p8t2

−2p22p4tp2.

(4)

Case 1. Ifp5/6, then it follows from2.8that

gt −1

36

25t416t354t216t25t12<0 2.9

fort >1.

Therefore, inequality2.1follows from2.3–2.5and2.7together with2.9.

Case 2. Ifp2/π, then from2.8we have

g1 85−6p8

5−12 π

>0, 2.10

lim

t→∞gt −∞, 2.11

gt 6p2t510p210p20t44p248p32t3

12p260p48t22p224p16t2p22p4,

2.12

g1 2456p245 12 π

>0, 2.13

lim

t→∞g

t −∞, 2.14

gt 30p2t440p240p80t312p2144p96t2

24p2120p96t2p224p16,

2.15

g1 83641p4p28

36−82

π − 16 π2

>0, 2.16

lim

t→∞g

t −∞, 2.17

gt 120p2t3120p2120p240t2

24p2288p192t24p2120p96,

2.18

g1 481111p4p248

11− 22

π − 16 π2

>0, 2.19

lim

t→∞g

t −∞, 2.20

g4t 360p2t2240p2240p480t24p2288p192, 2.21

g41 481411p12p248

14−22

π − 48 π2

(5)

lim

t→∞g

4t −∞, 2.23

g5t 720p2t240p2240p480, 2.24

g51 2402p4p2240

2− 2

π − 16 π2

<0. 2.25

From2.24and2.25we clearly see thatg5t<0 fort1, henceg4tis strictly decreasing in1,∞. It follows from 2.22 and 2.23together with the monotonicity of g4tthat there existsλ

1>1 such thatg4t>0 fort∈1, λ1andg4t<0 fortλ1,∞,

hencegtis strictly increasing in1, λ1and strictly decreasing inλ1,∞.

From2.19and2.20together with the monotonicity ofgtwe know that there existsλ2 >1 such thatgt>0 fort∈1, λ2andgt<0 fortλ2,∞, hence,gtis

strictly increasing in1, λ2and strictly decreasing inλ2,∞.

From2.16and2.17together with the monotonicity ofgtwe clearly see that there existsλ3>1 such thatgtis strictly increasing in1, λ3and strictly decreasing inλ3,∞. It

follows from2.13and2.14together with the monotonicity ofgtthat there existsλ4 >1

such that gtis strictly increasing in 1, λ4 and strictly decreasing inλ4,∞. Then2.7,

2.10and2.11imply that there existsλ5 > 1 such thatftis strictly increasing in1, λ5

and strictly decreasing inλ5,∞.

Note that2.6becomes

lim

t→∞ft 0 2.26

forp2/π.

It follows from2.5and2.26together with the monotonicity offtthat

ft>0 2.27

fort >1.

Therefore, inequality2.2follows from2.3and2.4together with2.27.

Secondly, we prove that5/6Aa, b 1/6Ha, bis the best possible upper convex combination bound of arithmetic and harmonic means for the Seiffert’s meanPa, b.

For anyt >1 andβ∈R, from1.1we have

P1, t2βA1, t21βH1, t2 t2−1

4 arctantπβ 2

1t2−21−β t

2

1t2

ht

4 arctantπ1t2,

2.28

where

ht t41β

2

(6)

h1 h1 h1 0, 2.30

h1 45. 2.31

Ifβ <5/6, then2.31leads to

h1>0. 2.32

From2.32and the continuity ofhtwe clearly see that there existsδ δβ > 0 such that

ht>0 2.33

fort∈1,1δ. Then2.30and2.33imply that

ht>0 2.34

fort∈1,1δ.

Therefore,P1, t2> βA1, t2 1βH1, t2fort1,1δfollows from2.28and

2.34.

Finally, we prove that2/πAa, b1−2/πHa, bis the best possible lower convex combination bound of arithmetic and harmonic means for the Seiffert’s meanPa, b.

Forα >2/π, then from1.1one has

lim

x→∞

αA1, x 1−αH1, x P1, x

π

2α >1. 2.35

Inequality2.35implies that for anyα > 2/π there exists X > 1 such that αA1, x 1−αH1, x> P1, xforxX,∞.

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

(7)

References

1 H.-J. Seiffert, “Problem 887,”Nieuw Archief voor Wiskunde, vol. 11, no. 2, pp. 176–176, 1993.

2 M.-K. Wang, Y.-M. Chu, and Y.-F. Qiu, “Some comparison inequalities for generalized Muirhead and identric means,”Journal of Inequalities and Applications, vol. 2010, Article ID 295620, 10 pages, 2010.

3 B.-Y. Long and Y.-M. Chu, “Optimal inequalities for generalized logarithmic, arithmetic, and geometric means,”Journal of Inequalities and Applications, vol. 2010, Article ID 806825, 10 pages, 2010.

4 B.-Y. Long and Y.-M. Chu, “Optimal power mean bounds for the weighted geometric mean of classical means,”Journal of Inequalities and Applications, vol. 2010, Article ID 905679, 6 pages, 2010.

5 W.-F. Xia, Y.-M. Chu, and G.-D. Wang, “The optimal upper and lower power mean bounds for a convex combination of the arithmetic and logarithmic means,”Abstract and Applied Analysis, vol. 2010, Article ID 604804, 9 pages, 2010.

6 Y.-M. Chu and B.-Y. Long, “Best possible inequalities between generalized logarithmic mean and classical means,”Abstract and Applied Analysis, vol. 2010, Article ID 303286, 13 pages, 2010.

7 M.-Y. Shi, Y.-M. Chu, and Y.-P. Jiang, “Optimal inequalities among various means of two arguments,”

Abstract and Applied Analysis, vol. 2009, Article ID 694394, 10 pages, 2009.

8 Y.-M. Chu and W.-F. Xia, “Two sharp inequalities for power mean, geometric mean, and harmonic mean,”Journal of Inequalities and Applications, vol. 2009, Article ID 741923, 6 pages, 2009.

9 Y.-M. Chu and W.-F. Xia, “Inequalities for generalized logarithmic means,”Journal of Inequalities and Applications, vol. 2009, Article ID 763252, 7 pages, 2009.

10 J.-J. Wen and W.-L. Wang, “The optimization for the inequalities of power means,” Journal of Inequalities and Applications, vol. 2006, Article ID 46782, 25 pages, 2006.

11 T. Hara, M. Uchiyama, and S.-E. Takahasi, “A refinement of various mean inequalities,”Journal of Inequalities and Applications, vol. 2, no. 4, pp. 387–395, 1998.

12 E. Neuman and J. S´andor, “On the Schwab-Borchardt mean. II,”Mathematica Pannonica, vol. 17, no. 1, pp. 49–59, 2006.

13 P. A. H¨ast ¨o, “Optimal inequalities between Seiffert’s mean and power means,” Mathematical Inequalities & Applications, vol. 7, no. 1, pp. 47–53, 2004.

14 E. Neuman and J. S´andor, “On the Schwab-Borchardt mean,”Mathematica Pannonica, vol. 14, no. 2, pp. 253–266, 2003.

15 E. Neuman and J. S´andor, “On certain means of two arguments and their extensions,”International Journal of Mathematics and Mathematical Sciences, no. 16, pp. 981–993, 2003.

16 P. A. H¨ast ¨o, “A monotonicity property of ratios of symmetric homogeneous means,” Journal of Inequalities in Pure and Applied Mathematics, vol. 3, no. 5, article 71, pp. 1–23, 2002.

17 A. A. Jagers, “Solution of problem 887,”Nieuw Archief voor Wiskunde, vol. 12, pp. 230–231, 1994.

18 H.-J. Seiffert, “Ungleichungen f ¨ur einen bestimmten Mittelwert,”Nieuw Archief voor Wiskunde, vol. 13, no. 2, pp. 195–198, 1995.

References

Related documents

Chu, Y.-M., Zong, C., Wang, G.-D.: Optimal convex combination bounds of Seiffert and geometric means for arithmetic mean.. Chu, Y.-M., Hou, S.-W.: Sharp bounds for Seiffert mean in

Chu, Y.-M., Qiu, S.-L., Wang, M.-K.: Sharp inequalities involving the power mean and complete elliptic integral of the first kind. Wang, G.-D., Zhang, X.-H., Chu, Y.-M.: A power

Qian, W-M, Song, Y-Q, Zhang, X-H, Chu, Y-M: Sharp bounds for Toader mean in terms of arithmetic and second contraharmonic means. Zhao, T-H, Chu, Y-M, Zhang, W: Optimal inequalities

Wang, “The optimal convex combination bounds of arithmetic and harmonic means for the Seiffert’s mean,” Journal of Inequalities and Applications, vol.. Chu, “An optimal

Chu, Y-M, Qiu, Y-F, Wang, M-K, Wang, G-D: The optimal convex combination bounds of arithmetic and harmonic means for the Seiffert ’ s mean. Hästö, PA: Optimal inequalities

Chu, Y-M, Zong, C, Wang, G-D: Optimal convex combination bounds of Seiffert and geometric means for the arithmetic mean.. Liu, H, Meng, X-J: The optimal convex combination bounds

Gong, WM, Shen, XH, Chu, YM: Optimal bounds for the Neuman-Sándor mean in terms of the first Seiffert and

Matejíˇcka, L: Sharp bounds for the weighted geometric mean of the first Seiffert and logarithmic means in terms of weighted generalized Heronian mean.. Yang, Z-H: Sharp bounds