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http://jipam.vu.edu.au/

Volume 7, Issue 5, Article 157, 2006

A NOTE ON WEIGHTED IDENTRIC AND LOGARITHMIC MEANS

KENDALL C. RICHARDS AND HILARI C. TIEDEMAN DEPARTMENT OFMATHEMATICS

SOUTHWESTERNUNIVERSITY

GEORGETOWN, TEXAS, 78627 richards@southwestern.edu

Received 28 July, 2006; accepted 25 August, 2006 Communicated by P.S. Bullen

ABSTRACT. Recently obtained inequalities [12] between the Gaussian hypergeometric function and the power mean are applied to establish new sharp inequalities involving the weighted iden- tric, logartithmic, and power means.

Key words and phrases: Identric mean, Logarithmic mean, Hypergeometric function.

2000 Mathematics Subject Classification. 26D07, 26D15, 33C05.

1. INTRODUCTION

Forx, y >0, the weighted power mean of orderλis given by Mλ(ω;x, y)≡

(1−ω)xλ+ω yλλ1

withω ∈(0,1)andM0(ω;x, y)≡ limλ→0Mλ(ω;x, y) =x1−ωyω. Sinceλ 7→ Mλ is increas- ing, it follows that

G(x, y)≤ Mλ

1 2;x, y

≤ A(x, y), for0≤λ≤1, whereG(x, y) ≡ M0 12;x, y

andA(x, y)≡ M1 12;x, y

are the well-known geometric and arithmetic means, respectively (e.g., see [4, p. 203]). Thus,Mλ provides a refinement of the classical inequalityG ≤ A. It is natural to seek other bivariate means that separateG and A.

Two such means are the logarithmic mean and the identric mean. For distinct x, y > 0, the logarithmic meanLis given by

L(x, y)≡ x−y ln(x)−ln(y),

ISSN (electronic): 1443-5756

c 2006 Victoria University. All rights reserved.

202-06

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andL(x, x)≡x. The integral representation

(1.1) L(1,1−r) =

Z 1

0

(1−rt)−1dt −1

, r <1 is due to Carlson [6]. Similarly, the identric meanI is defined by

I(x, y)≡ 1 e

xx yy

x−y1 , I(x, x)≡x, and has the integral representation

(1.2) I(1,1−r) = exp

Z 1

0

ln(1−rt)dt

, r <1.

The inequality G ≤ L ≤ A was refined by Carlson [6] who showed that L(x, y) ≤ M1/2 12;x, y

. Lin [8] then sharpened this by proving L(x, y) ≤ M1/3 12;x, y

. Shortly thereafter, Stolarsky [14] introduced the generalized logarithmic mean which has since come to bear his name. These and other efforts (e.g., [11, 15]) led to many interesting results, including the following well-known inequalities:

(1.3) G ≤ L ≤ M1/3 ≤ M2/3 ≤ I ≤ A,

where each is evaluated at(x, y), and the power means have equal weightsω = 1−ω= 1/2. It also should be noted that the indicated orders of the power means in (1.3), namely 1/3 and 2/3, are sharp. Following the work of Leach and Sholander [7], Páles [10] gave a complete ordering of the general Stolarsky mean which provides an elegant generalization of (1.3). (For a more complete discussion of inequalites involving means, see [4].)

2. MAINRESULTS

Our main objective is to present a generalization of (1.3) using the weighted logarithmic and identric means. Moreover, sharp power mean bounds are provided. This can be accomplished using the Gaussian hypergeometric function2F1 which is given by

2F1(α, β;γ;r)≡

X

n=0

(α)n(β)n

(γ)nn! rn, |r|<1,

where(α)nis the Pochhammer symbol defined by(α)0 = 1,(α)1 =α, and(α)n+1 = (α)n(α+ n), for n ∈ N. Forγ > β > 0,2F1 has the following integral representation due to Euler (see [2]):

2F1(α, β;γ;r) = Γ(γ) Γ(γ−β)Γ(β)

Z 1

0

tβ−1(1−t)γ−β−1(1−rt)−αdt, which, by continuation, extends the domain of2F1 to allr <1. HereΓ(z)≡R

0 tz−1e−tdtfor z >0;Γ(n) = (n−1)!forn ∈N. Inequalities relating the Gaussian hypergeometric function to various means have been widely studied (see [1, 2, 3, 5, 12]). Of particular use here is the hypergeometric mean of orderadiscussed by Carlson in [5] and defined by

Ha(ω;c;x, y)≡

Γ(c) Γ(c ω0)Γ(c ω)

Z 1

0

tc ω−1(1−t)c ω0−1(x(1−t) +yt)adt 1a

=x·h

2F1

−a, c ω;c; 1− y x

ia1

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with the parameterc >0and weightsω, ω0 >0satisfyingω+ω0 = 1. ClearlyHa(ω;c;ρx, ρy) = ρHa(ω;c;x, y)forρ > 0, soHais homogeneous. Euler’s integral representation and (1.1) to- gether yield

H−1

1

2; 2; 1,1−r

=

Γ(2) Γ(1)2

Z 1

0

(1−rt)−1dt −1

=L(1,1−r).

Multiplying by x, with r = 1 −y/x, and applying homogeneity yields H−1 1

2; 2;x, y

= L(x, y).This naturally leads to the weighted logarithmic meanLˆwhich is defined as

L(ω;ˆ c;x, y)≡ H−1(ω;c;x, y).

Weighted logarithmic means have been discussed by Pittenger [11] and Neuman [9], among others (see also [4, p. 391-392]). Similarly, the weighted identric meanIˆis given by

Iˆ(ω;c;x, y)≡ H0(ω;c;x, y)≡lim

a→0Ha(ω;c;x, y)

= exp

Γ(c) Γ(c ω0)Γ(c ω)

Z 1

0

tc ω−1(1−t)c ω0−1ln[x(1−t) +yt]dt

(see [5], [13]). Thus,Iˆ 12; 2;x, y

=I(x, y).

The following theorem establishes inequalities between the power means and the weighted identric and logarithmic means.

Theorem 2.1. Supposex > y >0andc≥1.

If0< ω≤1/2, then the weighted identric meanIˆsatisfies

(2.1) M c

c+1(ω;x, y)≤I(ω;ˆ c;x, y).

If1/2≤ω <1andc≤3, then the weighted logarithmic meanLˆsatisfies

(2.2) L(ω;ˆ c;x, y)≤ Mc−1

c+1(ω;x, y).

Moreover, the power mean ordersc/(c+ 1)and(c−1)/(c+ 1)are sharp.

A key step in the proof will be an application of the following recently obtained result:

Proposition 2.2. [12] Suppose1≥aandc > b >0. Ifc≥max{1−2a,2b}, then

(2.3) Mλ

b

c; 1,1−r

≤[2F1(−a, b;c;r)]1a for allr ∈ (0,1),

if and only ifλ ≤ (a+c)/(1 +c). If−a ≤ c≤ min{1−2a,2b}, then the inequality in (2.3) reverses if and only ifλ≥(a+c)/(1 +c).

Proof of Theorem 2.1. Suppose x > y > 0, c ≥ 1, ω ∈ (0,1) and defineb ≡ c ω withr ≡ 1−y/x∈ (0,1). Ifω ≤ 1/2anda ∈ (0,1), it follows thatc ≥ max{1−2a,2b}. Hence the previous proposition implies

(2.4) Ma+c

1+c (ω; 1,1−r)≤[2F1(−a, b;c;r)]1a . Taking the limit of both sides of (2.4) asa →0+yields

(2.5) M c

c+1(ω; 1,1−r)≤ H0(ω;c; 1,1−r).

Now supposeω ≥ 1/2andc≤ 3. Thenc ≤ 2b and−a = 1 ≤ c ≤ 3 = 1−2afora = −1.

Thus

(2.6) H−1(ω;c; 1,1−r) = [2F1(1, b;c;r)]−1 ≤ Mc−1

c+1 (ω; 1,1−r),

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again by the above proposition. Multiplying both sides of the inequalities in (2.5) and (2.6) by

xand applying homogeneity yields the desired results.

In the case thatω = 1/2, we have

Corollary 2.3. Ifx, y >0,1≤c≤3, andω = 1/2then

(2.7) H−2 ≤ H−1 ≤ Mc−1

c+1 ≤ M c

c+1 ≤ H0 ≤ H1.

Moreover,(c−1)/(c+ 1)andc/(c+ 1)are sharp. Ifc= 2, then (2.7) reduces to (1.3).

Proof. Supposex > y > 0,1 ≤c ≤3, andω = 1/2. Hence (2.2) and (2.1), together with the fact thatλ7→ Mλ is increasing, imply

H−1

1

2;c;x, y

≤ Mc−1

c+1

1 2;x, y

≤ M c

c+1

1 2;x, y

≤ H0 1

2;c;x, y

.

The remaining inequalities follow directly from Carlson’s observation [5] that a 7→ Ha is in- creasing. The condition that x > y can be relaxed by noting that Ha is symmetric in (x, y) whenω = 1/2. This symmetry can be seen by making the substitution s = 1−t in Euler’s integral representation:

Ha 1

2;c;x, y a

= Γ(c) Γ(c/2)2

Z 1

0

[t(1−t)]c/2−1((1−t)x+ty)adt

= Γ(c) Γ(c/2)2

Z 1

0

[(1−s)s]c/2−1(sx+ (1−s)y)ads

=Ha 1

2;c;y, x a

. Finally, note thatMc−1

c+1 =M1

3 andM c

c+1 =M2

3 whenc= 2. Also, H−2

1

2; 2; 1,1−r −2

=2F1(2,1; 2;r) = 1 1−r, for |r| < 1. It follows that H−2 1

2; 2;x, y

= (xy)12 = G(x, y).Likewise, H1 12; 2;x, y

=

x(1−(1−y/x)/2) =A(x, y).Thus (2.7) implies (1.3).

REFERENCES

[1] H. ALZERANDS.-L. QIU, Monotonicity theorems and inequalities for the complete elliptic inte- grals, J. Comp. Appl. Math., 172 (2004), 289–312.

[2] G.E. ANDREWS, R. ASKEY,ANDR. ROY, Special Functions, Cambridge University Press, Cam- bridge, 1999.

[3] R.W. BARNARD, K. PEARCE,ANDK.C. RICHARDS, An inequality involving the generalized hypergeometric function and the arc length of an ellipse, SIAM J. Math. Anal., 31 (2000), 693–699.

[4] P.S. BULLEN Handbook of Means and Their Inequalities, Kluwer Academic Publishers, Dor- drecht, 2003.

[5] B.C. CARLSON, Some inequalities for hypergeometric functions, Proc. Amer. Math. Soc., 16 (1966), 32–39.

[6] B.C. CARLSON, The logarithmic mean, Amer. Math. Monthly, 79 (1972), 615–618.

[7] E.B. LEACH AND M.C. SHOLANDER, Multi-variate extended mean values, J. Math. Anal.

Appl., 104 (1984), 390–407.

[8] T.P. LIN, The power and the logarithmic mean, Amer. Math. Monthly, 81 (1974), 271–281.

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[9] E. NEUMANN, The weighted logarithmic mean, J. Math. Anal. Appl., 188 (1994) 885–900.

[10] Z. PÁLES, Inequalities for differences of powers, J. Math. Anal. Appl., 131 (1988), 271–281.

[11] A.O. PITTENGER, The logarithmic mean innvariables, Amer. Math. Monthly, 92 (1985), 99–104.

[12] K.C. RICHARDS, Sharp power mean bounds for the Gaussian hypergeometric function, J. Math.

Anal. Appl., 308 (2005), 303–313.

[13] J. SÁNDORANDT. TRIF, A new refinement of the Ky Fan inequality, Math. Ineq. Appl., 2 (1999), 529–533.

[14] K. STOLARSKY, Generalizations of the logarithmic means, Math. Mag., 48 (1975), 87–92.

[15] K. STOLARSKY, The power and generalized logarithmic means, Amer. Math. Monthly, 87 (1980), 545–548.

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