• 検索結果がありません。

Power Type α-Centroidal Mean and Its Dual

N/A
N/A
Protected

Academic year: 2022

シェア "Power Type α-Centroidal Mean and Its Dual"

Copied!
10
0
0

読み込み中.... (全文を見る)

全文

(1)

ISSN 2219-7184; Copyright ICSRS Publication, 2014c www.i-csrs.org

Available free online at http://www.geman.in

Power Type α-Centroidal Mean and Its Dual

Sandeep Kumar1, V. Lokesha2, U.K. Misra3 and K.M. Nagaraja4

1Department of Mathematics Ac. I.T Bangalore-560 107, India E-mail: [email protected]

2Department of Mathematics V.S.K. University, Bellary-583 104, India

E-mail: [email protected]

3DOS in Mathematics

Berhampur University, Berhampur, Odissa E-mail: [email protected]

4Department of Mathematics

JSS Academy of Technical Education, Bangalore-560 060, India E-mail: [email protected]

(Received: 12-6-14 / Accepted: 21-8-14) Abstract

The paper defines the power type α-centroidal mean and its dual form in two variables. Some interesting results related to monotonicities as well have been obtained.

Keywords: Monotonicity, inequality, contra harmonic mean, centroidal mean.

1 Introduction

Mathematical means defined by pythagorean school are considered as the fore- most contribution from ancient Greeks ([1], [11]). On the basis of propositions, four fundamental named means are specified as arithmetic mean, geometric mean, harmonic mean and contra harmonic mean.

Among the new means, an important mean which has engrossed the atten- tion to explore, is the power mean.

Leta, b >0 be positive real numbers. The power mean of orderr ∈ <of a and b is defined by

(2)

Mr =Mr(a, b) = (ar+b2 r)1/r

for some particular value of r, we can get primary means as given below.

• A =M1(a, b) = a+b2 ,

• G=G(a, b) = M0(a, b) = k→0LimMr(a, b) = √ ab

• H =H(a, b) = M−1(a, b) = 12 a+1b

which are named as arithmetic, geometric and harmonic mean of a and b re- spectively.

Fora, b >0

L(a, b) =

a−b

lna−lnb a6=b

a a=b (1.1)

I(a, b) = (

e(alna−ba−blnb−1) a6=b

a a=b (1.2)

He(a, b) = a+√ ab+b

3 (1.3)

Hp(a, b) =

ap+√

apbp+bp 3

1p

(1.4) are respectively called logarithmic mean, identric mean, heron mean and power

−type generalized heron mean.

In [11], the definition of contra-harmonic mean on the basis of proportions is given by;

C(a, b) = a2+b2

a+b . (1.5)

Many researchers have explored various means and their properties through the above said fundamental means(refer [3] - [9]), obtained some remarkable inequalities and identities. The mean inequalities collections are mentioned in [2]. In ([4], [6], [10]), the authors has defined oscillatory mean, rth oscillatory mean and obtained some new inequalities. Further, obtained the best possible values of these means with logarithmic mean, identric mean and power mean.

Definition 1.1. [10] For a, b >0 and α ∈(0,1), the oscillatory mean and its dual form are as follows;

O(a, b;α) = αG(a, b) + (1−α)A(a, b) (1.6) and

O(d)(a, b;α) =Gα(a, b)A1−α(a, b). (1.7)

(3)

Definition 1.2. [1] For a, b > 0, the extended mean is defined as

Es,t(a, b) =

































t(as−bs) s(at−bt)

s−t1

, if (s−t)st6= 0, a6=b exp −1s +asloga−bas−bsslogb

, if s=t6= 0, a 6=b exp

as−bs s(asloga−bslogb)

1s

, if s 6= 0, t= 0, a6=b

√ab, if s=t= 0

a, if a=b.

(1.8)

Definition 1.3. For a > b >0 centroidal means is defined as E2,3(a, b) = 2

3

a2+ab+b2 a+b

(1.9) In [8] K.M. Nagaraja et. al. have introduced the α-centroidal mean and its dual as follows.

Definition 1.4. For a, b > 0 andα ∈(0,1), α-centroidal mean and its dual form are respectively defined as follows:

CT(a, b;α) = αH(a, b) + (1−α)C(a, b) (1.10) and

CT(d)(a, b;α) =Hα(a, b)C1−α(a, b). (1.11) This motivates us to study power typeα-centroidal mean and its dual. Also we have established some fascinating results and inter-related inequalities.

2 Power Type α-Centroidal Mean and its Dual

In this section, the power typeα-centroidal mean and its dual are introduced as follows.

Definition 2.1. For a, b > 0 and α∈(0,1), power type α-centroidal mean and its dual form are respectively defined as follows:

CT(a, b;α, k) =









αH(ak, bk) + (1−α)C(ak, bk) k1

, for k6= 0

ab, for k= 0

(2.1)

(4)

and

CT(d)(a, b;α, k) =









Hα(ak, bk)C1−α(ak, bk) 1k

, for k 6= 0

√ab, for k = 0

(2.2)

Note : For α = 13 and k = 1, the CT(a, b;α, k) = E2,3(a, b) is called as centroidal mean.

Forα∈(0,1) the power typeα - centroidal mean and its dual satisfies the following properties.

Property 2.1. Power type α - centroidal mean and its dual are means.

That is

M in{a, b} ≤ {CT(a, b;α, k), CTd(a, b;α, k)} ≤M ax{a, b}

Property 2.2. The means CT(a, b;α, k) and CT(d)(a, b;α, k) are symmet- ric and homogeneous;

1. Symmetric :

CT(a, b;α, k) = CT(b, a;α, k) and CT(d)(a, b;α, k) = CT(d)(b, a;α, k).

2. Homogeneous:

CT(at, bt;α, k) =tCT(a, b;α, k)andCT(d)(at, bt;α, k) = tCT(d)(a, b;α, k).

Proposition 2.1. According to definition 2.1, the following characteristic properties for CT(a, b;α, k) and CT(d)(a, b;α, k) are straightforward.

For a real number α∈(0,1),

1. min(a, b)≤CT(d)(a, b;α, k)≤CT(a, b;α, k)≤M ax(a, b).

2. H(a, b)≤CT(d)(a, b;α, k)≤CT(a, b;α, k)≤C(a, b).

3. CT(a, b;α,1) = CT(a, b;α).

4. CT(a, b;α,0) = G(a, b).

5. CT(a, b;12, r) = Mr(a, b).

6. CT(a, b;12, k) = A(a,b)G(a,b) = H(a,b)1 . 7. CT(a, b;12,1) =A(a, b).

8. CT(a, b;13,1) = 13(4A(a, b)−H(a, b)).

9. CT(a, b;23,1) = 23(C(a, b) +H(a, b)).

(5)

10. CT(d)(a, b;α,1) =CT(d)(a, b;α).

11. CT(d)(a, b;12,1) = G(a,b)A(a,b)p

A(a2, b2).

12. CT(d)(a, b;12,12) = 2G(a,b)A(a,b) A(

a, b) .

13. CT(d)(a, b;13,1) = (H(a, b)C2(a, b))13. 14. CT(d)(a, b;23,−1) = 1

(H(a,b)C2(a,b))13.

3 Monotonic Results

In this section, the monotonic results of the power typeα-centroidal mean and its dual are studied.

Theorem 3.1. For α∈(0,1) a real number and for a, b >0 ,

CT(d)(a, b;α, k)≤CT(a, b;α, k).

Proof. The proof of theorem 3.1 follows from well known power mean inequal- ity:

Mr(a, b) =





ar+br 2

1r

, r6= 0;

ab, r= 0.

(3.1)

Theorem 3.2. For a, b > 0 and α ∈ (0,1), the power type α-centroidal mean CT(a, b;α, k) is an decreasing function with respect to α.

CT(a, b;α+ 1, k)6CT(a, b;α, k) (3.2)

(6)

Proof. From definition 2.1,

CT(a, b;α+ 1, k) =

(α+ 1)H(ak, bk) + [1−(1 +α)]C(ak, bk) k1

=

(α+ 1)H(ak, bk) + (−α)C(ak, bk) k1

=

(α)H(a, b) +H(ak, bk) + (−α)C(ak, bk) 1k

6

αH(ak, bk) +C(ak, bk) + (−α)C(ak, bk) k1

=

αH(ak, bk) + (1−α)C(ak, bk) 1k

=CT(a, b;α, k).

Theorem 3.3. For a, b > 0 and α ∈ (0,1), the power type α-centroidal dual mean CT(d)(a, b;α, k) is an decreasing function with respect to α.

CT(d)(a, b;α+ 1, k)6CT(d)(a, b;α, k) (3.3) Proof. From definition 2.1,

CT(d)(a, b;α+ 1, k) =

H(α+1)(ak, bk)C[1−(1+α)](ak, bk) k1

=

H(α+1)(ak, bk)C(−α)(ak, bk) 1k

=

H(ak, bk)H(α)(ak, bk)C(−α)(ak, bk) 1k

6

C(ak, bk)H(α)(ak, bk)C(−α)(ak, bk) 1k

=

H(α)(ak, bk)C(1−α)(ak, bk) 1k

=CT(d)(a, b;α, k).

(7)

4 Some Inequalities

In this section, we obtain the Taylor’s series expansions of various means by replacing a = t and b = 1 and inter-relate with known means with the best possible value for each relation.

A(a, b) = A(t,1) = 1 + t

2 (4.1)

H(a, b) =H(t,1) = 1 + t 2− 1

4t2+..., (4.2) G(a, b) =G(t,1) = 1 + t

2 − 1

8t2+..., (4.3) C(a, b) =C(t,1) = 1 + t

2+ 1

4t2 +..., (4.4) O(t,1;α) = 1 +1

2t+ −α

8 t2+... (4.5)

O(d)(t,1;α) = 1 + 1

2t+−α

8 t2+... (4.6)

L(a, b) = L(t,1) = 1 + t 2 − 1

12t2+..., (4.7) I(a, b) = I(t,1) = 1 + t

2 − 1

24t2+..., (4.8) Hp(a, b) = H(tp,1) = 1 + t

2 +2p−3

24 t2+..., (4.9) He(a, b) = He(t,1) = 1 + t

2 − 1

24t2+..., (4.10) Mr(a, b) =Mr(t,1) = 1 + t

2 +r−1

8 t2+..., (4.11) CT(t,1;α) = 1 + 1

2t− (1−2α)

4 t2+..., (4.12)

CT(d)(t,1;α) = 1 + 1

2t− (1−2α)

4 t2+..., (4.13) CT(t,1;α, k) = 1 + 1

2t− (3−4α)k−1

8 t2+..., (4.14) CT(d)(t,1;α, k) = 1 + 1

2t−(3−4α)k−1

8 t2+..., (4.15) From Theorem 3.1 and Taylor’s series expansion of various means from 4.2 to 4.15, the following inequalities fora, b > 0 andα ∈(0,1) is computed.

(8)

Proposition 4.1. For k13(3−4α)1 ≤ k2, the following double inequality holds

CT(d)(a, b;α, k1)≤L(a, b)≤CT(a, b;α, k2). (4.16) Further,k1 =k2 = 3(3−4α)1 is the best possible for (4.16).

Proof. From equations 4.2 to 4.15, we have

CT(d)(a, b;α, k1)≤L(a, b)≤CT(a, b;α, k2) holds whenever, (3−4α)k8 1−1−112(3−4α)k8 2−1

on rearrangement leads tok13(3−4α)1 ≤k2.

Proposition 4.2. For k13(3−4α)2 ≤ k2, the following double inequality holds

CT(d)(a, b;α, k1)≤I(a, b)≤CT(a, b;α, k2). (4.17) Further,k1 =k2 = 3(3−4α)2 is the best possible for (4.17).

Proof. From equations 4.2 to 4.15, we have

CT(d)(a, b;α, k1)≤I(a, b)≤CT(a, b;α, k2) holds whenever, (3−4α)k8 1−1−124(3−4α)k8 2−1

on rearrangement leads tok13(3−4α)2 ≤k2.

Proposition 4.3. For k1(3−4α)3 ≤ k2, the following double inequality holds

CT(d)(a, b;α, k1)≤C(a, b)≤CT(a, b;α, k2). (4.18) Further,k1 =k2 = 3−4α3 is the best possible for (4.18).

Proof. From equations 4.2 to 4.15, we have

CT(d)(a, b;α, k1)≤C(a, b)≤CT(a, b;α, k2) holds whenever, (3−4α)k8 1−114(3−4α)k8 2−1

on rearrangement leads tok13−4α3 ≤k2.

(9)

Proposition 4.4. For k13(3−4α)2p ≤ k2, the following double inequality holds

CT(d)(a, b;α, k1)≤Hp(a, b)≤CT(a, b;α, k2). (4.19) Further,k1 =k2 = 3(3−4α)2p is the best possible for (4.19).

Proposition 4.5. Fork13−4α1−α ≤k2, the following double inequality holds CT(d)(a, b;α, k1)≤O(a, b, α)≤CT(a, b;α, k2). (4.20) Further,k1 =k2 = 3−4α1−α is the best possible for (4.20).

Proposition 4.6. Fork13−4αr ≤k2, the following double inequality holds CT(d)(a, b;α, k1)≤Mr(a, b)≤CT(a, b;α, k2). (4.21) Further,k1 =k2 = 3−4αr is the best possible for (4.21).

Proposition 4.7. Fork14α−13−4α ≤k2, the following double inequality holds CT(d)(a, b;α, k1)≤CT(a, b, α)≤CT(a, b;α, k2). (4.22) Further,k1 =k2 = 4α−13−4α is the best possible for (4.22).

References

[1] P.S. Bullen,Handbook of Means and their Inequalities, Kluwer Acad. Publ., Dordrecht, (2003).

[2] F. Holland, Some mean inequalities, Irish Math. Soc. Bulletin, 57(2006), 69-79.

[3] G.H. Hardy, J.E. Littlewood and G. P`olya,Inequalities (2nd edition), Cam- bridge University Press, Cambridge, (1959).

[4] V. Lokesha, K.M. Nagaraja, B.N. Kumar and S. Padmanabhan, Oscillatory type mean in Greek means, Int. e-Journal of Engg. Maths Theory and Applications, 9(3) (2010), 18-26.

[5] V. Lokesha, S. Padmanabhan, K.M. Nagaraja and Y. Simsek, Relation be- tween Greek means and various other means, General Mathematics, 17(3) (2009), 3-13.

[6] V. Lokesha, Z.H. Zhang and K.M. Nagaraja, rth Oscillatory mean for sev- eral positive arguments,Ultra Scientist, 18(3) (2006), 519-522.

(10)

[7] K.M. Nagaraja, V. Lokesha and S. Padmanabhan, A simple proof on strengthening and extension of inequalities, Advn. Stud. Contemp. Math., 17(1) (2008), 97-103.

[8] K.M. Nagaraja and P.S.K. Reddy, α-centroidal mean and its dual, Pro- ceedings of Jangjeon Math. Soc., 14(3) (2012), 163-170.

[9] B.N. Kumar, K.M. Nagaraja, A. Bayad and M. Saraj, New means and its properties,Proceedings of the Jangjeon Math. Soc., 14(3) (2010), 243-254.

[10] S. Padmanabhan, V. Lokesha, M. Saraj and K.M. Nagaraja, Oscillatory mean for several positive arguments, Journal of Intelligent System Re- search, 2(2) (2008), 137-139.

[11] G. Toader and S. Toader, Greek Means and the Arithmetic-Geometric Mean, RGMIA Monograph, Australia, (2005).

参照

関連したドキュメント

The existence of the dual synchronization behavior between a pair of chaotic and hyperchaotic systems is investigated via a nonlinear controller, in which the nonlinear functions of

The trivial double coset Γ becomes the unit of the Hecke algebra C [Γ\G/Γ].. The proof of the last equality is easy when the vN(H)-separating vector δ Γ is tracial (see [BC] for

To this aim, we propose to use categories of fractions of a fundamental category with respect to suitably chosen sytems of morphisms and to investigate quotient categories of those

Standard domino tableaux have already been considered by many authors [33], [6], [34], [8], [1], but, to the best of our knowledge, the expression of the

as an application, we propose and study a fractional Brownian Scholes stochastic model which includes the standard Black-Scholes model as a special case and is able to account for

In this paper, we define a generalized version of mean porosity and, by applying this concept, we will prove an essentially sharp dimension estimate for the boundary of a domain

For functions belonging to each of the subclasses M ∗ n (α) and N n ∗ (α) of nor- malized analytic functions in open unit disk U, which are introduced and in- vestigated in this

Qi, Logarithmic convexities of the extended mean values, RGMIA Resarch Re- port Collection 5(2)(1999), Article5..