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volume 7, issue 2, article 45, 2006.

Received 28 October, 2005;

accepted 27 November, 2005.

Communicated by:F. Qi

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Journal of Inequalities in Pure and Applied Mathematics

MONOTONICITY AND CONCAVITY PROPERTIES OF SOME FUNCTIONS INVOLVING THE GAMMA FUNCTION

WITH APPLICATIONS

SENLIN GUO

Department of Mathematics University of Manitoba Winnipeg, MB, R3T 2N2 Canada.

EMail:umguos@cc.umanitoba.ca

c

2000Victoria University ISSN (electronic): 1443-5756 322-05

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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J. Ineq. Pure and Appl. Math. 7(2) Art. 45, 2006

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Abstract

In this article, we give the monotonicity and concavity properties of some func- tions involving the gamma function and some equivalence sequences to the sequencen!with exact equivalence constants.

2000 Mathematics Subject Classification: Primary 33B15; Secondary 26D07, 26D20.

Key words: Gamma function, Monotonicity, Concavity, Equivalence

Contents

1 Introduction and Main Results. . . 3 2 Lemmas . . . 8 3 Proof of Main Results. . . 9

References

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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1. Introduction and Main Results

Throughout the paper, let N denote the set of all positive integers and N0 = N∪ {0}.

We say an ' bn (n ≥ n0) if there exist two constantsc1 > 0and c2 > 0 such that

(1.1) c1bn≤an ≤c2bn

hold for alln ≥n0. The fixed numbersc1andc2in (1.1) are called equivalence constants.

The incomplete gamma function is defined forRez >0by Γ(z, x) =

Z

x

tz−1e−tdt, γ(z, x) = Z x

0

tz−1e−tdt, (1.2)

and Γ(z,0) = Γ(z) is called the gamma function. The logarithmic derivative ofΓ(z), denoted byψ(z) = Γ0(z)/Γ(z), is called the psi or digamma function, andψ(k)fork ∈Nare called the polygamma functions. One of the elementary properties of the gamma function isΓ(x+1) =xΓ(x). In particular,Γ(n+1) = n!.

In [13], it was proved by F. Qi that the functions f(s, r) =

Γ(s) Γ(r)

s−r1 , (1.3)

f(s, r, x) =

Γ(s, x) Γ(r, x)

s−r1 (1.4)

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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and

(1.5) g(s, r, x) =

γ(s, x) γ(r, x)

s−r1

are increasing with respect tor >0,s >0, orx >0.

E. A. Karatsuba [9] proved that the function

(1.6) f1(x) = [g(x)]6−(8x3+ 4x2 +x), where

(1.7) g(x) =e

x

x Γ(1 +x)

√π ,

is strictly increasing from[1,∞)onto[f1(1), f1(∞))with f1(1) = e6

π3 −13 and f1(∞) = 1 30. In 2003, in [1], H. Alzer proved that

α≤f1(x)< 1

30, x∈(0,∞), where

α = min

x>0 f1(x) = 0.0100450· · ·=f1(x0) for somex0 ∈[0.6,0.7]. Sincef1(x0)< f1(1)and

f1(x0)< lim

x→0+f1(x) = 1

√π ,

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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his result shows thatf1(x)is not still monotonic on(0,1].

In [3], it was shown in 1997, by G. Anderson and S. Qiu, that the function

(1.8) f2(x) = ln Γ(x+ 1)

xlnx

is strictly increasing from(1,∞)onto(1−γ,1), whereγis the Euler-Mascheroni constant. H. Alzer, in 1998 in [2], proved thatf2(x), with

(1.9) f2(1) = lim

x→1f2(x) = 1−γ,

is strictly increasing on(0,∞). Also note that the functionf2(x)was proved to be concave on(1,∞)in [6] in 2000 by A. Elbert and A. Laforgia.

In [5, 8, 10, 12, 14, 17], monotonicity properties of other functions related to the (di)gamma function were obtained.

In this article, we shall give some monotonicity and concavity properties of several functions involving the gamma function and, as applications, deduce some equivalence sequences to the sequencen!with best equivalence constants.

Our main results are as follows.

Theorem 1.1. The functions

(1.10) f(x) = xx+12

exΓ(x+ 1) and

(1.11) F(x) = exΓ(x+ 1)

xx

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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are strictly logarithmically concave and strictly increasing from(0,∞), respec- tively, onto 0,1/√

and onto(1,∞).

Theorem 1.2. The function

(1.12) g(x) = exΓ(x+ 1)

x+12x+12

is strictly logarithmically concave and strictly increasing from12,∞ onto p

π/e,p 2π/e

.

Theorem 1.3. The function

(1.13) h(x) = exΓ(x+ 1)√

x−1 xx+1

is strictly logarithmically concave and strictly increasing from(1,∞)onto 0,√ 2π

. As applications of these theorems, we have the following corollaries.

Corollary 1.4. Forn ∈N,

(1.14) n!'e−nnn+1/2.

Moreover, for alln ∈N,

(1.15) √

2π ·e−nnn+1/2 < n!≤e·e−nnn+1/2. The equivalence constants

andein (1.15) are best possible.

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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Corollary 1.5. Forn ∈N0,

(1.16) n!'e−n

n+1

2 n+12

.

Moreover, for alln ∈N0,

(1.17) √

2e−n

n+1 2

n+12

≤n!<

r2π e e−n

n+1

2 n+12

. The equivalence constants

2 andp

2π/e in (1.17) are best possible.

Corollary 1.6. Forn ≥2,

(1.18) n!'

r n

n−1e−nnn+1/2. Furthermore, for alln≥2,

(1.19) e

2 2r

n

n−1e−nnn+1/2 ≤n!<√ 2π

r n

n−1e−nnn+1/2. The equivalence constants(e/2)2 and

in (1.19) are best possible.

Remark 1. In [16, Theorem 5], it was proved that forn ≥2,

(1.20) √

2π e−nnn+1/2 < n!<

n n−1

12

2π e−nnn+1/2, which can be directly deduced from (1.15) and (1.19).

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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2. Lemmas

We need the following lemmas to prove our results.

Lemma 2.1 ([4, p. 20]). Asx→ ∞, (2.1) ln Γ(x) =

x− 1

2

lnx−x+ ln√

2π +O 1

x

. Lemma 2.2 ([7, p. 892] and [11, p. 17]). Forx >0,

ψ(x) = lnx− 1 2x −2

Z

0

tdt

(t2+x2)(e2πt−1), (2.2)

ψ

x+1 2

= lnx+ 2 Z

0

tdt

(t2+ 4x2)(eπt+ 1). (2.3)

Lemma 2.3. The function

(2.4) ϕ(x) = ln x+ 1

x+ 12 − 1 2x is strictly increasing from(0,∞)onto(−∞,0).

Proof. We omit the proof of this lemma due to its simplicity.

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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3. Proof of Main Results

Proof of Theorem1.1. Taking the logarithm of f(x)defined by (1.10) and dif- ferentiating directly yields

lnf(x) =

x−1 2

lnx−x−ln Γ(x), (3.1)

[lnf(x)]0 = lnx− 1

2x−ψ(x).

(3.2)

Then by formula (2.2) of Lemma2.2, (3.3) [lnf(x)]0 = 2

Z

0

tdt

(t2 +x2)(e2πt−1), x >0.

Hence,[lnf(x)]0 >0forx∈(0,∞), which means thatlnf(x), and thenf(x), is strictly increasing on(0,∞).

It is easy to see thatlimx→0+f(x) = 0. By (3.1) and Lemma2.1, we have (3.4) lnf(x) =−ln√

2π+O 1

x

→ln 1

√2π, x→ ∞, which implieslimx→∞f(x) = 1/√

2π.

Taking the logarithm of F(x) defined by (1.11) and differentiating easily gives

lnF(x) =x+ ln Γ(x+ 1)−xlnx, (3.5)

[lnF(x)]0 =ψ(x+ 1)−lnx.

(3.6)

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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Then by (2.3) of Lemma2.2, for allx >0, (3.7) [lnF(x)]0 = ln

1 + 1

2x

+ 2 Z

0

tdt h

t2+ 4 x+122i

(eπt+ 1)

>0.

Hence,lnF(x), and thenF(x), is strictly increasing on(0,∞).

It is easy to see thatlimx→0+F(x) = 1. By using Lemma2.1, from (3.5), (3.8) lnF(x) = 1

2lnx+ ln√

2π+O 1

x

, x→ ∞.

Therefore,lnF(x), and thenF(x)tends to∞asx→ ∞.

Formulas (3.3) and (3.7) tell us that[lnf(x)]0and[lnF(x)]0 are both strictly decreasing. Therefore, lnf(x) and lnF(x) are strictly concave, that is, the functionf(x)andF(x)are both logarithmically concave.

Proof of Theorem1.2. Taking the logarithm ofg(x)defined by (1.12) and dif- ferentiating shows

lng(x) =x+ ln Γ(x+ 1)−

x+ 1 2

ln

x+ 1

2

, (3.9)

[lng(x)]0 =ψ(x+ 1)−ln

x+1 2

. (3.10)

Then, by formula (2.3) of Lemma2.2, we have (3.11) [lng(x)]0 = 2

Z

0

tdt

[t2 + (2x+ 1)2](eπt+ 1), x >−1 2.

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So

(3.12) [lng(x)]0 >0, x∈

−1 2,∞

,

which means thatlng(x), theng(x), is strictly increasing on −12,∞ . SinceΓ(1/2) =√

π, it is easy to verify that lim

x→−1/2g(x) =p π/e. From (3.9) and Lemma2.1, it is obtained that

(3.13) lng(x) =

x+1 2

lnx+ 1

x+12 + ln√

2π −1 +O 1

x

, x→ ∞.

Hencelng(x)→lnp

2π/e asx→ ∞, and then lim

x→∞g(x) =p 2π/e.

Formula (3.11) shows that[lng(x)]0is strictly decreasing. Therefore,lng(x) is strictly concave, that is, the functiong(x)is logarithmically concave.

Proof of Theorem1.3. Taking the logarithm of h(x)defined by (1.13) and dif- ferentiating straightforwardly reveals

lnh(x) = ln Γ(x) +x+1

2ln(x−1)−xlnx, (3.14)

[lnh(x)]0 =ψ(x) + 1

2(x−1) −lnx.

(3.15)

By settingx=u+ 1withu >0, we have (3.16) [lnh(x)]0 =ψ(u+ 1) + 1

2u −ln(u+ 1) = [lng(u)]0−ϕ(u),

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whereg(u)andϕ(u)are respectively defined by (1.12) and (2.4). From (3.12) and Lemma2.3, it is deduced that[lnh(x)]0 >0forx >1. Therefore,lnh(x), and thenh(x), is strictly increasing on(1,∞).

It is obvious that lim

x→1+h(x) = 0. From (3.14) and Lemma2.1, we see (3.17) lnh(x) = 1

2lnx−1

x + ln√

2π+O 1

x

→ln√

2π, x→ ∞.

So lim

x→∞h(x) = √ 2π.

Considering the logarithmic concavity ofg(x)and the increasing monotonic- ity of ϕ(x) in (3.16) reveals that [lnh(x)]0 is strictly decreasing. Therefore, lnh(x) is strictly concave, that is, the function h(x) is logarithmically con- cave.

Proof of Corollary1.4. By Theorem 1.1, we know that the function f(x) is strictly increasing from(0,∞)onto

0,1

, hence

(3.18) 1

e =f(1) ≤f(n) = nn+1/2 enn! < 1

√2π

forn∈N, and

(3.19) lim

n→∞

nn+1/2 enn! = 1

√2π. From (3.18) and (3.19), we see that Corollary1.4is true.

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Proof of Corollary1.5. By Theorem1.2, we see that the functiong(x)is strictly increasing from −12,∞

onto p

π/e,p 2π/e

. So

(3.20) √

2 = g(0)≤g(n) = enn!

n+ 12n+1/2 <

r2π

e , n∈N0

and

(3.21) lim

n→∞

enn!

n+12n+1/2 = r2π

e .

Inequality (3.20) is equivalent to (1.17). Since the constants√

2 andp 2π/e are best possible in (3.20), they are also best possible in (1.17).

Proof of Corollary1.6. The monotonicity ofh(x)by Theorem1.3implies

(3.22) e

2 2

=h(2) ≤h(n) = enn!√ n−1 nn+1 <√

2π, n ≥2

and

(3.23) lim

n→∞

enn!√ n−1 nn+1 =√

2π.

From (3.22) and (3.23), we see that Corollary1.6is valid.

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References

[1] H. ALZER, On Ramanujan’s double inequality for the gamma function, Bull. London Math. Soc., 35 (2003), 601–607.

[2] H. ALZER, Inequalities for gamma and polygamma functions, Abh. Math.

Sem. Hamburg, 68 (1998), 363–372.

[3] G.D. ANDERSON AND S.-L. QIU, A monotonicity property of the gamma function, Proc. Amer. Math. Soc., 125 (1997), 3355–3362.

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

[5] Ch.-P. CHEN AND F. QI, Monotonicity results for the gamma function, J. Inequal. Pure Appl. Math., 4(2) (2003), Art. 44. [ONLINE:http://

jipam.vu.edu.au/article.php?sid=282].

[6] A. ELBERTANDA. LAFORGIA, On some properties of the gamma func- tion, Proc. Amer. Math. Soc., 128 (2000), 2667–2673.

[7] I.S. GRADSHTEYN AND I.M. RYZHIK, Table of Integrals, Series, and Products, Sixth Edition, Academic Press, New York, 2000.

[8] B.-N. GUO AND F. QI, Inequalities and monotonicity for the ratio of gamma functions, Taiwanese J. Math., 7 (2003), 239–247.

[9] E.A. KARATSUBA, On asymptotic representation of the Euler gamma function by Ramanujan, J. Comp. Appl. Math., 135 (2001), 225–240.

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Monotonicity and Concavity Properties of Some Functions Involving the Gamma Function

with Applications Senlin Guo

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[10] D. KERSHAWANDA. LAFORGIA, Monotonicity results for the gamma function, Atti. Accad. Sci. Torino Cl. Sci. Fis. Mat. Natur., 119 (1985), 127–133.

[11] W. MAGNUS, F. OBERHETTINGER AND R.P. SONI, Formulas and Theorems for the Special Functions of Mathematical Physics, Springer, Berlin-New York, 1966.

[12] M.E. MULDOON, Some monotonicity properties and characterization of the gamma fuction, Aequat. Math., 18 (1978), 54–63.

[13] F. QI, Monotonicity results and inequalities for the gamma and incomplete gamma functions, Math. Inequal. Appl., 5(1) (2002), 61–67.

[14] S.L. QIU AND M. VUORINEN, Some properties of the gamma and psi functions, with applications, Math. Comp., 74 (2005), 723–742.

[15] A.W. ROBERTS AND D.E. VARBERG, Convex Functions, Academic Press, New York, 1973.

[16] J. SÁNDOR AND L. DEBNATH, On certain inequalities involving the constant e and their applications, J Math. Anal. Appl., 249 (2000) 569–

592.

[17] H. VOGT ANDJ. VOIGT, A monotonicity property of theΓ-function, J.

Inequal. Pure Appl. Math., 3(5) (2002), Art. 73. [ONLINE: http://

jipam.vu.edu.au/article.php?sid=225].

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