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Rev. Anal. Num´er. Th´eor. Approx., vol. 42 (2013) no. 2, pp. 94–102 ictp.acad.ro/jnaat

BILATERAL INEQUALITIES FOR MEANS

MIRA-CRISTIANA ANISIUand VALERIU ANISIU

Abstract. Let (M1, M2, M3) be three means in two variables chosen fromH, G,L,I,A,Q,S,C so that

M1(a, b)< M2(a, b)< M3(a, b), 0< a < b.

We consider the problem of findingα, βRfor which

αM1(a, b) + (1α)M3(a, b)< M2(a, b)< βM1(a, b) + (1β)M3(a, b).

We solve the problem for the triplets (G, L, A), (G, A, Q), (G, A, C), (G, Q, C), (A, Q, C), (A, S, C), (A, Q, S) and (L, A, C). The Symbolic Algebra Program Maple is used to determine the range where some parameters can vary, or to find the minimal polynomial for an algebraic number.

MSC 2000. 26D15, 26E60; 26-04

Keywords. Two-variable means, weighted arithmetic mean, inequalities, sym- bolic computer algebra.

1. INTRODUCTION

We remind the definitions of the classical means, namely, for 0< a < b

• thearithmetic,geometric and harmonic ones A= a+b2 , G=√

ab, H = a+b2ab, as well as

• theH¨older and theanti-harmonic meanQ= a2+b2

2

1/2

, C = aa+b2+b2;

• theP´olya & Szeg˝o logarithmic mean, theexponential (oridentric), and theweighted geometric mean

L= lnb−ab−lna, I = 1e

bb aa

1/(b−a)

, S =

aabb1/(a+b)

.

References on means and inequalities between them can be found in [5].

At first, the following inequalities between means were established (1) H < G < L < I < A < Q < S < C,

“T. Popoviciu” Institute of Numerical Analysis, Romanian Academy, P.O. Box 68, 400110 Cluj-Napoca, Romania, e-mail: [email protected].

“Babe¸s-Bolyai” University, Faculty of Mathematics and Computer Science, 1 Kog˘alniceanu St., 400084 Cluj-Napoca, Romania, e-mail: [email protected].

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followed by relations between some means and the arithmetic means of two others ([7], [3])

(2) L < G+A2 , G+Q2 < A < G+C2 < Q < A+C2 < S.

A more difficult problem is to obtain results of the type (2) for weighted arithmetic means and to determine the maximal interval for the parameter for which the inequalities hold.

We mention here an inequality proved by Alzer and Qiu for the meansG, I and A.

Theorem 1. [1] The double inequality

(3) αA(a, b) + (1−α)G(a, b)< I(a, b)< βA(a, b) + (1−β)G(a, b)

holds true for all positive real numbers a 6= b, if and only if α ≤ 2/3 and β ≥2/e.

Results of this type continued to appear, recent ones are given in [9] for (H, L, A) and (H, I, A), and in [4] for (G, L, C).

LetM1,M2,M3 be three means out of the eight listed in (1) so that (4) M1(a, b)< M2(a, b)< M3(a, b).

We consider the problem of findingα, β∈R for which (5) αM1(a, b) + (1−α)M3(a, b)< M2(a, b) and

(6) M2(a, b)< βM1(a, b) + (1−β)M3(a, b).

The inequalities (5) and (6) are equivalent to

(7) α > MM3(a,b)−M2(a,b)

3(a,b)−M1(a,b), respectively

(8) β < MM3(a,b)−M2(a,b)

3(a,b)−M1(a,b).

Basically, denoting byt=b/a, t >1, the problem reduces to find inff and supf, where

(9) f(t) = MM3(1,t)−M2(1,t)

3(1,t)−M1(1,t).

The function f is obviously bounded, 0 ≤ f(t) ≤ 1. If supf is attained at some t ∈ (1,∞), then α ∈ (supf,∞); otherwise α ∈ [supf,∞). Similarly, β ∈(−∞,inff) if inff is attained in (1,∞), and β ∈(−∞,inff] otherwise.

Symbolic Algebra Programs can be of great help to determine the range where the parameters can vary. Maple was used in [3] to find the interval forα in Theorem 9 below. We also use it to simplify the polynomials in the proof of Theorem 5 and to obtain the optimal value β0 ofβ.

Starting from the means listed in (1), we can formulate 83

= 56 bilateral inequalities of the type (3). We shall choose seven of them, for which one of

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(5) and (6) was already proved in [3], and we shall find the possible values of the parameter for the remaining one. Then, for L < A < C we find the optimal intervals forα andβ in order that both inequalities (5) and (6) hold.

To this aim Maple is again very useful.

2. BILATERAL INEQUALITIES

We consider means in two variables, but we prefer to use a simpler (and shorter) notation.

Let us denote for 0 < a < b, t = b/a, t > 1. It it obvious, due to the homogeneity, that, if M(a, b) is any mean from (1), it suffices to prove the inequalities forM(1, t). We shall write from now onM(t) instead ofM(1, t).

Theorem 2. The double inequality

αG(t) + (1−α)A(t)< L(t)< βG(t) + (1−β)A(t), ∀t >1, holds if and only if α≥1 and β ≤2/3.

Proof. We denote, fort >1,

(10) f1(t) = A(t)−L(t)A(t)−G(t) = (t+1) ln(t+1−2t−2(t−1)

t) lnt .

Let us suppose that the first inequality in the theorem holds. From limt→∞f1(t) = 1 it follows obviously that α ≥ 1. Conversely, if α ≥ 1 it suffices to have

A(t)−L(t) A(t)−G(t) <1,

which is true because L(t) > G(t). We evaluate f1(t)−2/3, where 2/3 = limt→1f1(t) and show that it is positive. The denominator is obviously posi- tive; we substituteu=√

tin the numerator and obtain f(u) = (u2+ 4u+ 1) lnu−3u2+ 3.

We have f(1) =f0(1) =f00(1) = 0 andf000(u) = 2(u−1)2/u3 >0 foru > 1, hencef1(t)>2/3 fort >1. It follows thatL(t)< βG(t) + (1−β)A(t), ∀t >1

if and only if β≤2/3.

Theorem 3. The double inequality

αG(t) + (1−α)Q(t)< A(t)< βG(t) + (1−β)Q(t), ∀t >1, holds if and only if α≥1/2 and β≤1−√

2/2.

Proof. Let us consider fort >1, the function (11) f2(t) = Q(t)−A(t)Q(t)−G(t) = 1−

t2+1+

2t 2(

t+1)2. We have f2(t) < 1/2, since √

t2+ 1 +√

2t > √

2/2 (√

t+ 1)2 ⇔ √

t2+ 1 >

√2/2 (t+ 1) ⇔(t−1)2 >0. Since limt→1f2(t) = 1/2, it follows thatαG(t) + (1−α)Q(t)< A(t), ∀t >1 if and only if α≥1/2.

Let us suppose that A(t) < βG(t) + (1 − β)Q(t), ∀t > 1. Since limt→∞f2(t) = 1 −√

2/2, it follows that β ≤ 1 − √

2/2. Conversely, if

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β ≤ 1−√

2/2, it suffices to prove that f2(t) > 1−√

2/2. This is equiva-

lent with

t2+1+ 2t

(t+1)2 <1, i. e. √

t2+ 1 +√

2t < √ t+ 12

and this is true because √

t2+ 1 +√ 2t <

t+ 1 +√

2t < √ t+ 12

.

Theorem 4. The double inequality

αG(t) + (1−α)C(t)< A(t)< βG(t) + (1−β)C(t), ∀t >1, holds if and only if α≥2/3 and β≤1/2.

Proof. Fort >1 we define

(12) f3(t) = C(t)−G(t)C(t)−A(t) = (t−1)2

2(t2+1− t(t+1)).

Since limt→1f3(t) = 2/3, fromαG(t) + (1−α)C(t)< A(t), ∀t >1 it follows that α ≥ 2/3. If α ≥ 2/3, it is true that f3(t) < α, because f3(t) < 2/3 is

equivalent with

t t+

t+1 < 13, or (√

t−1)2>0.

Similarly, it follows thatf3(t)>1/2,since f3(t)−12 =

t( t−1)2 2(t2+1−

t(t+1)) =

t 2(t+

t+1) >0.

The infimum off3 on (1,∞) is precisely 1/2, because limt→∞f3(t) = 1/2 Theorem 5. The double inequality

αG(t) + (1−α)C(t)< Q(t)< βG(t) + (1−β)C(t), ∀t >1, holds if and only if α ≥1−√

2/2 and β < β0, where β0 u0.3471574308... is the unique positive root of the polynomial

9x4−26x3+ 22x2−2x−1.

Proof. We have to find, fort >1,the extreme values of (13) f4(t) = C(t)−Q(t)C(t)−G(t) = 2t2

2

t2+1− 2t

t2+1+2 2(t2−t32

t+1) .

Denoting byu=√

t, we compute the derivative of h(u) =f4(u2) and we obtain

h0(u) = (u+1)

2(u4+1)(−u4−4u2−1)+u6+2u5+3u4+3u2+2u+1

2(u4+1)(u−1)3(u2+u+1)2 . So, the roots of the derivative satisfy the algebraic equation

2(u4+ 1) u4+ 4u2+ 12

= u6+ 2u5+ 3u4+ 3u2+ 2u+ 12

.

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After the simplification of a quartic polynomial whose roots are not in the interval (1,∞), we obtain the equation

(14) u8−8u5−10u4−8u3+ 1 = 0,

which has a unique root u0 in the interval (1,∞). This can be easily proved by using the Sturm sequence. Thenu0 will be the unique root ofh0 in (1,∞).

Now h0(2)>0, h0(3)<0,so 2< u0 <3 and h is strictly increasing in the interval (1, u0) and strictly decreasing in the interval (u0,∞). We also have limu→1h(u) = 1/3, limu→∞h(u) = 1−√

2/2 and therefore inff4 = infh = 1−√

2/2, supf4= suph=h(u0) =β0.

Since h(u0) is an algebraic number, we can easily find its minimal polyno- mial by performing the following commands inMaple:

>theta:=RootOf(u^8-8*u^5-10*u^4-8*u^3+1, u):

> M:= g(theta):

> sqrfree(evala(Norm(convert(Z-M,RootOf))),Z)[2][1][1];

9x4−26x3+ 22x2−2x−1

Notice thatMaple is of course able to express the maximumh(u0) in terms of radicals by executing the command:

> select(u-> is(u>0),[solve(9*x^4-26*x^3+22*x^2-2*x-1,Explicit)]);

but the resulting expression is cumbersome and we will not print it here.

Theorem 6. The double inequality

αA(t) + (1−α)C(t)< Q(t)< βA(t) + (1−β)C(t), ∀t >1, holds if and only if α≥2−√

2 and β ≤1/2.

Proof. Let us consider, fort >1 (15) f5(t) = C(t)−Q(t)C(t)−A(t) = 2(t

2+1)−(t+1)

2(t2+1)

(t−1)2 .

From limt→∞f5(t) = 2−√

2 it follows thatαA(t)+(1−α)C(t)< Q(t), ∀t >

1 impliesα≥2−√

2. Now ifα≥2−√

2 we have to prove thatf5(t)<2−√ 2, which can be written as p

2(t2+ 1) (t+ 1) > −√

2t2 + 4 + 2√ 2

t−√ 2. If

−√

2t2+ 4 + 2√ 2

t−√

2≤0, the inequality holds. Otherwise, squaring both sides it reduces to 4 3 + 2√

2

t(t−1)2 >0.

We obtain also

f5(t)−12 = 3(t

2+1)+2t−2(t+1)

2(t2+1) 2(t−1)2 >0,

because (3(t2+ 1) + 2t)2 −8(t+ 1)2(t2+ 1) > 0 ⇔ (t−1)4 > 0. We have limt→1f5(t) = 1/2, hence this is the infimum of f5 on (1,∞) and the second

part of the theorem is also true.

Lemma 7. [3] For t >1, the following inequality holds

(16) t

t

t+1 > t−lnt.

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Proof. The inequality (16) is equivalent to

t

t+1lnt >ln(t−lnt).

We consider the function

k(t) = ln(t−lnt)−t−1t lnt, t >1, with

k0(t) = (lnt−1) lnt2(t−lnt)t.

It has limt→1k(t) = 0, limt→∞k(t) = 0 and a minimum at t0 =e. It follows that k(t)<0 on (1,∞), hence ((t−1)/t) lnt >ln(t−lnt). It follows that

t

t+1lnt > t−1t lnt >ln(t−lnt).

Theorem 8. The double inequality

αA(t) + (1−α)C(t)< S(t)< βA(t) + (1−β)C(t), ∀t >1, holds if and only if α≥1/2 and β≤0.

Proof. We define

(17) f6(t) = C(t)−A(t)C(t)−S(t) = 2t2+1−(t+1)t

t t+1 (t−1)2 . We have

f6(t)−12 = 3(t2+1)+2t−4(t+1)t t t+1

2(t−1)2 = 2(t+1)(t−1)2 ·g(t), where

g(t) = 3(t4(t+1)2+1)+2t−t

t t+1. Then

g0(t) =− g1(t)

4(t+1)2, where

(18) g1(t) = 4t

t

t+1(t+ 1 + lnt) + 1−3t2−6t.

Using the fact that S > Q, i. e. tt/(t+1) > p

(t2+ 1)/2, we obtain that g1(t)>p

2(t2+ 1)g2(t),where

g2(t) = 2(t+ 1 + lnt)−(3t2+ 6t−1)/p

2(t2+ 1).

The derivative ofg2 is

g20(t) = (t+1)

2(t2+1) 3

(3t4+7t2+6t)

t(t2+1)

2(t2+1) .

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In order to establish its sign we consider the polynomial P(t) = (t+ 1)2p

2(t2+ 1)6

− 3t4+ 7t2+ 6t2

=t6(t−1)2 t86 +32t5 +52t4 +36t3 +19t2 +14t −1 .

The expression from the last parenthesis is obviously decreasing for t ≥ 1 and it is positive for t= 10. It follows that it is positive on (1,10), hence on this interval P is also positive. Therefore g02(t)>0, g2(t)> g2(1) = 0, so g1 is positive too for 1< t <10.

Let us consider now that t≥10. Using (16) in (18) we obtain that g1(t)>

g3(t), where

g3(t) =t2−2t+ 2−(2 lnt+ 1)2. For

g4(t) =p

t2−2t+ 2−2 lnt−1, the sign ofg40 is given byt2−t−2√

t2−2t+ 2; but (t2−t)2−4(t2−2t+ 2) = (t−10)4+ 38(t−10)3+ 537(t−10)2+ 3348(t−10) + 7772>0 for t≥10. It follows thatg3(t)≥g3(10) = 3.45... >0, hence g1 is positive fort≥10 too.

In conclusion, g1(t) > 0 on (1,∞), therefore g0(t) < 0 on (1,∞). The function g being decreasing, g(t) < g(1) = 0 for t > 1 and f6(t) < 1/2 for t >1.

The second part of the theorem follows from limt→∞f6(t) = 0 andf6(t)>0,

∀t >1.

Theorem 9. The double inequality

αA(t) + (1−α)S(t)< Q(t)< βA(t) + (1−β)S(t), ∀t >1 holds if and only if α≥2−√

2 and β ≤0.

Proof. We shall prove that the first inequality holds forα= 2−√

2 (hence a fortiori forα ≥2−√

2).

Let us denote (19)

H(t, α) =Q(t)−αA(t)−(1−α)S(t) = 12p

2 + 2t212α(1 +t)−(1−α)t

t 1+t. and

h1(t) = (√

2 + 1)H(t,2−√ 2),

whereHis given in (19). We have to prove that h1(t)>0 fort >1. It follows that

h1(t) = (

2+1)

2(t2+1)

2

2(t+1)

2 −t

t t+1.

We put in the inequality (1 +x)q<1 +qx,which holds for x >0, 0< q <1, x=t−1 and q=t/(t+ 1). It follows that

t

t

t+1 < tt+12+1,

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and

h1(t)> (1+

2) 2(t+1)

(t+ 1)p

2 + 2t2−√

2(t2+ 2(√

2−1)t+ 1) .

Let us denote the positive expressions h2(t) = (t+ 1)p

2 + 2t2, h3(t) =√

2(t2+ 2(√

2−1)t+ 1);

it follows easily that h22(t)−h23(t) = 4t(t−1)2, therefore h1(t)>0.

The second part of the theorem is obvious, since f7(t) = S(t)−Q(t)S(t)−A(t)

satisfiesf7(t)>0,∀t >1 and limt→1f7(t) = 0.

Theorem 10. The double inequality

αL(t) + (1−α)C(t)< A(t)< βL(t) + (1−β)C(t), ∀t >1, holds if and only if α≥3/4 and β≤1/2.

Proof. We have to find the extreme values of f8(t) = C(t)−A(t)C(t)−L(t) fort >1, wheref8 is given by

f8(t) = 12 ·lnt+t(t−1)2lnt−t2lnt2+1. We obtain

f80(t) =−2t(lnt+t(t−1)h2lnt−t3(t)2+1)2, where

h4(t) =t3−2 t2lnt2

+ 2t2lnt−t2−2tlnt−2t(lnt)2−t+ 1.

Now, h4(1) =h04(1) =h004(1) =h0004(1) = 0 and

h(4)4 (t) = 8(t−1) lnt3 t >0 for t >1.

Thereforeh4>0 in (1,∞) andf80 <0 in (1,∞). The functionf8being strictly decreasing on (1,∞), inff8 = limt→∞f8(t) = 1/2 and supf8 = limt→1f8(t) =

3/4.

3. FINAL REMARKS

From the eight means considered in this paper, two enter the class of Gini means [6] defined fora, b >0,u, v∈R,

Gu,v(a, b) =



 au+bu

av+bv

u−v1

, u6=v

exp

auloga+bulogb au+bu

, u=v

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namely S = G1,1, C = G2,1; two belong to the class of Stolarsky means [8]

defined fora, b >0,a6=b, u, v∈R,

Er,s(a, b) =















 s

r ar−br as−bs

r−s1

, rs(r−s)6= 0

exp

1r +arlogaa−br−brrlogb

, r=s6= 0 1

s as−bs loga−logb

1s

, r= 0, s6= 0

ab, r=s6= 0,

namely L = E1,0, I = E1,1. The other four are in both classes, namely H =G−1,0 =E−2,−1,G=G0,0 =E0,0,A=G1,0=E2,1 andQ=G2,0 =E4,2. As it was shown in [2], the families of Gini means Gu,v and Stolarsky means Er,s have in common only the power means. So even if general results will be proved for these two classes of means, not all the inequalities from this paper will be consequences; for example, in the last theorem Lis a Stolarsky mean, while C is a Gini one.

REFERENCES

[1] H. AlzerandS. L. Qiu,Inequalities for means in two variables, Arch. Math. (Basel), 80(2003), pp. 201–215.

[2] H. AlzerandS. Ruscheweyh,On the intersection of two-parameter mean value fam- ilies, Proc. A. M. S., 129(9) (2001), pp. 2655–2662.

[3] M. C. Anisiuand V. Anisiu,Refinement of some inequalities for means, Rev. Anal.

Num´er. Th´eor. Approx.,35(2006) no. 1, pp. 5–10.

[4] M. C. Anisiuand V. Anisiu,Logarithmic mean and weighted sum of geometric and anti-harmonic means, Rev. Anal. Num´er. Th´eor. Approx.,41(2012) no. 2, pp. 95–98.

[5] P. S. Bullen,Handbook of Means and Their Inequalities, Series: Mathematics and Its Applications, vol. 560, 2nd ed., Kluwer Academic Publishers Group, Dordrecht, 2003.

[6] C. Gini,Di una formula comprensiva delle medie, Metron,13(1938), pp. 3–22.

[7] M. IvanandI. Ras¸a,Some inequalities for means, Tiberiu Popoviciu Itinerant Seminar of Functional Equations, Approximation and Convexity, Cluj-Napoca, May 23-29, 2000, pp. 99–102.

[8] K. B. Stolarsky, Generalizations of the logarithmic mean, Math. Mag., 48 (1975), pp. 87–92.

[9] W. F. Xiaand Y. M. Chu,Optimal inequalities related to the logarithmic, identric, arithmetic and harmonic means, Rev. Anal. Num´er. Th´eor. Approx.,39(2010) no. 2, pp. 176–183.

Received by the editors: October 24, 2013.

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