• No results found

On approximating the modified Bessel function of the first kind and Toader Qi mean

N/A
N/A
Protected

Academic year: 2020

Share "On approximating the modified Bessel function of the first kind and Toader Qi mean"

Copied!
21
0
0

Loading.... (view fulltext now)

Full text

(1)

R E S E A R C H

Open Access

On approximating the modified Bessel

function of the first kind and Toader-Qi mean

Zhen-Hang Yang and Yu-Ming Chu

*

*Correspondence:

chuyuming2005@126.com School of Mathematics and Computation Sciences, Hunan City University, Yiyang, 413000, China

Abstract

In the article, we present several sharp bounds for the modified Bessel function of the first kindI0(t) =

n=0

t2n

22n(n!)2 and the Toader-Qi meanTQ(a,b) = 2

π

π/2

0 a

cos2θbsin2θd

θ

for allt> 0 anda,b> 0 witha=b.

MSC: 33C10; 26E60

Keywords: modified Bessel function; Toader-Qi mean; logarithmic mean; identric mean

1 Introduction

Leta,b> ,p: (,∞)→R+be a strictly monotone real function,θ(, π) and

rn(θ) =

(ancosθ+bnsinθ)/n, n= ,

acosθbsinθ, n= . (.)

Then the meanMp,n(a,b) was first introduced by Toader in [] as follows:

Mp,n(a,b) =p–

 π

π

prn(θ)

=p–

π

π/

prn(θ)

, (.)

wherep–is the inverse function ofp.

From (.) and (.) we clearly see that

M/x,(a,b) =

π

π/√

acosθ+bsinθ

=AGM(a,b)

is the classical arithmetic-geometric mean, which is related to the complete elliptic integral of the first kindK(r) =π/( –rsinθ)–/dθ. The Toader mean

Mx,(a,b) =

π

π/

acosθ+bsinθdθ=T(a,b)

is related to the complete elliptic integral of the second kindE(r) =π/( –rsinθ)/dθ.

We have

Mxq,(a,b) =

π

π/

aqcosθbqsinθdθ

/q

(q= ).

(2)

In particular,

Mx,(a,b) =

π

π/

acosθbsinθdθ=TQ(a,b) (.)

is the Toader-Qi mean.

Recently, the arithmetic-geometric meanAGM(a,b) and the Toader meanT(a,b) have attracted the attention of many researchers. In particular, many remarkable inequalities forAGM(a,b) andT(a,b) can be found in the literature [–].

Forq= , the meanMxq,(a,b) seems to be mysterious, Toader [] said that he did not know how to determine any sense for this mean.

Letz∈C,ν∈R\{–, –, –, . . .} and(z) =limn→∞n!nz/[

k=(z+k)] be the classical

gamma function. Then the modified Bessel function of the first kind(z) [] is given by

(z) =

n=

zn+ν

n!n+ν(ν+n+ ). (.)

Very recently, Qiet al.[] proved the identity

Mxq,(a,b) =

π

π/

aqcosθbqsinθdθ

/q

=√abI/q

q

log

a

b (.)

and inequalities

L(a,b) <TQ(a,b) <A(a,b) +G(a,b)

 <

A(a,b) +G(a,b)

 <I(a,b) (.)

for allq=  anda,b>  witha=b, whereL(a,b) = (ba)/(logb–loga),A(a,b) = (a+b)/,

G(a,b) =√ab, andI(a,b) = (bb/aa)/(ba)/eare, respectively, the logarithmic, arithmetic, geometric, and identric means ofaandb.

Letb>a> ,p∈R,t= (logb–loga)/ > , and thepth power meanAp(a,b) be defined

by

Ap(a,b) =

ap+bp

/p

(p= ), A(a,b) =

ab=G(a,b).

Then the logarithmic meanL(a,b), the identric meanI(a,b), and the pth power mean

Ap(a,b) can be expressed as

L(a,b) =√absinht

t , I(a,b) =

abet/tanht–,

Ap(a,b) =

abcosh/p(pt) (p= )

(.)

and (.)-(.) lead to

TQ(a,b) √

ab =

Mx,(a,b) ab =

π

π/

etcos(θ)=I(t)

= 

π

π/

cosh(tcosθ)= 

π

π/

(3)

The main purpose of this paper is to present several sharp bounds for the modified Bessel function of the first kindI(t) and the Toader-Qi meanTQ(a,b).

2 Lemmas

In order to establish our main results we need several lemmas, which we present in this section.

Lemma .(See []) Letnkbe the number of combinations of n objects taken k at a time,

that is,

n k =

n!

k!(nk)!.

Then

k=

n k

=

n n .

Lemma .(See []) Let{an}∞n= and{bn}∞n= be two real sequences with bn> and limn→∞an/bn=s.Then the power seriesn=antnis convergent for all t∈Rand

lim t→∞

n=antn

n=bntn

=s

if the power seriesn=bntnis convergent for all t∈R.

Lemma . The Wallis ratio

Wn=

(n+)

()(n+ ) (.)

is strictly decreasing with respect to all integers n≥and strictly log-convex with respect to all real numbers n≥.

Proof It follows from (.) that

Wn+ Wn

=  – 

(n+ )<  (.)

for all integersn≥.

Therefore,Wnis strictly decreasing with respect to all integersn≥ follows from (.).

Letf(x) =(x+ /)/(x+ ) andψ(x) =(x)/(x) be the psi function. Then it follows from the monotonicity ofψ(x) that

logf(x)=ψ

x+

 –ψ

(x+ ) >  (.)

for allx≥.

Therefore,Wnis strictly log-convex with respect to all real numbersn≥ follows from

(4)

Lemma .(See []) The double inequality

 (x+a)–a <

(x+a)

(x+ ) < 

x–a

holds for all x> and a∈(, ).

Lemma . Let sn= (n)!(n+)!/[n(n!)].Then the sequence{sn}∞n=is strictly decreasing and

lim n→∞sn=

π. (.)

Proof The monotonicity of the sequence{sn}∞n=follows from

sn+ sn

=(n+ )(n+ ) (n+ ) < .

To prove (.), we rewritesnas

sn= (n+ )

(n– )!! nn!

=n+ 

( )

(n+)

(n+ )

=(n+

 )

π

(n+)

(n+ )

. (.)

It follows from Lemma . and (.) that

π =

π

n+

n+ <sn< 

π

n+

n . (.)

Therefore, equation (.) follows from (.).

Lemma .(See []) Let A(t) =∞k=aktkand B(t) =

k=bktkbe two real power series converging on(–r,r) (r> )with bk> for all k.If the non-constant sequence{ak/bk}is in-creasing(decreasing)for all k,then the function A(t)/B(t)is strictly increasing(decreasing)

on(,r).

Lemma .(See []) Let A(t) =∞k=aktkand B(t) =

k=bktkbe two real power series converging on Rwith bk > for all k.If there exists m∈Nsuch that the non-constant sequence{ak/bk}is increasing(decreasing)for≤km and decreasing(increasing)for km,then there exists t∈(,∞)such that the function A(t)/B(t)is strictly increasing

(decreasing)on(,t)and strictly decreasing(increasing)on(t,∞).

Lemma . The identity

I(t) =

n=

(n)! n(n!)t

n

(5)

Proof From (.) and Lemma . together with the Cauchy product we have

I(t) =

n=

n

k=

 k(k!)

 (nk)[(nk)!]

tn

=

n=

 n(n!)

n

k=

(n!)

(k!)[(nk)!]

tn=

n=

(n)! n(n!)t

n.

Lemma .(See []) Let–∞<a<b<∞and f,g: [a,b]→R.Then

b

a

f(x)g(x)dx≥  ba

b

a

f(x)dx b

a g(x)dx

if both f and g are increasing or decreasing on(a,b).

Lemma .(See []) Let–∞<a<b<∞and f,g: (a,b)→R.Then

b

a

f(x)g(x)dx– 

ba b

a f(x)dx

b

a

g(x)dx

≥ 

(ba) b

a

xa+b

f(x)dx

b

a

xa+b

g(x)dx (.)

if both f and g are convex on the interval(a,b),and inequality(.)becomes an equality if and only if f or g is a linear function on(a,b).

3 Main results

Theorem . The double inequalities

et

 + t<I(t) < et

 + t (.)

and

b

 +log(b/a)<TQ(a,b) <

b

 +log(b/a) (.)

hold for all t> and b>a> .

Proof From (.) we have

I(t) =

π

π/

cosh(tsinθ)= 

π

cosh(tx) √

 –xdx (.)

and

etI(t) =

π

π/

et[cos(θ)–]= 

π

π/

etsinθ

< 

π

π/

 + tsinθ =

 √

(6)

We clearly see that bothcosh(tx) and /√ –xare increasing with respect toxon (, ).

Then Lemma . and (.) lead to

I(t)≥

π

dx

√  –x

cosh(tx)dx=sinht

t

= e

t

t

 – 

et > et

t

 –   + t =

et

 + t. (.)

Therefore, inequality (.) follows from (.) and (.). Lett=log(b/a)/. Then it follows from (.) and (.) that

b/a

 +log(b/a)<

TQ(a,b) √

ab <

b/a

 +log(b/a). (.)

Therefore, inequality (.) follows from (.).

Remark . From Theorem . we clearly see that

lim t→∞e

tI

(t) = lim

x→+TQ(x, ) = .

Theorem . The double inequalities

α

sinh(t)

t <I(t) <β

sinh(t)

t (.)

and

α

L(a,b)A(a,b) <TQ(a,b) <β

L(a,b)A(a,b) (.)

hold for all t> and a,b> with a=b if and only ifα≤/√π,β≥

/,α≤

√ /π

andβ≥.

Proof Let

R(t) = I

(t)

sinh(t)/(t), (.)

an=

(n)!

n(n!), bn=

n

(n+ )!. (.)

Then simple computation leads to

an bn

=(n)!(n+ )!

n(n!) . (.)

It follows from Lemma . and (.) that the sequence{an/bn}∞n=is strictly decreasing

and

lim n→∞

an bn

= 

(7)

From Lemma . we have

R(t) =

n=antn

n=bntn

. (.)

Lemma . and (.) together with the monotonicity of the sequence{an/bn}∞n=lead to

the conclusion thatR(t) is strictly decreasing on the interval (,∞). Therefore, we have

lim

t→∞R(t) <R(t) <t→lim+R(t) =

ab

= . (.)

From Lemma ., (.), and (.) we know that

lim t→∞R(t) =

π. (.)

Therefore, inequality (.) holds for allt>  if and only ifα≤/

π andβ≥

√ / follows easily from (.), (.), and (.) together with the monotonicity ofR(t).

Letb>a>  andt=log(b/a)/. Then inequality (.) holds fora,b>  witha=bif and only ifα≤

/π, andβ≥ follows from (.) and (.) together with inequality (.)

for allt>  if and only ifα≤/√πandβ≥

/.

Remark . Equations (.) and (.) imply that

lim t→∞e

ttI (t) =

 √

π

or we have the asymptotic formula

I(t)∼ et

πt (t→ ∞).

Theorem . Letλ,λ> ,t= . . . .be the unique solution of the equation

d dt

tI(t) –sinht

(cosht– )sinht

=  (.)

on(,∞)and

λ=

tI(t) –sinht

(cosht– )sinht

= . . . . . (.)

Then the double inequality

(λcosht+  –λ) sinht

t <I(t) <

(λcosht+  –λ) sinht

t (.)

or

λA(a,b) + ( –λ)G(a,b)

L(a,b) <TQ(a,b) <λA(a,b) + ( –λ)G(a,b)

L(a,b)

(8)

Proof Let

R(t) =

I(t) –sinht t

(cosht–)sinht t

, (.)

cn=

(n)! n(n!)–

(n+ )!, dn= n– 

(n+ )!, sn=

(n)!(n+ )!

n(n!) , (.)

and

sn=n+ n+ n+ sn

n+ n+ . (.)

Then it follows from Lemma ., Lemma ., Lemma ., and (.)-(.) that

R(t) =

n=cntn

n=dntn

, (.)

lim

t→∞R(t) =n→∞lim cn dn

= lim n→∞

ns n– 

n–  =

π, (.)

cd

=  <

cd

=  >

cd

=

, (.)

cn+ dn+

cn

dn

= – 

ns n

(n+ )(n+– )(n– ), (.)

and we have the inequality

sn> 

π

n+ n+ n+ –n+ n+ 

>  

n+ n+ n+ –n+ n+ = 

n–n+ n+ >  (.)

for alln≥.

From (.)-(.) we know that the sequence{cn/dn}∞n= is strictly increasing for ≤ n≤ and strictly decreasing forn≥. Then Lemma . and (.) lead to the conclusion that there existst∈(,∞) such thatR(t) is strictly increasing on (,t) and decreasing

on (t,∞). Therefore, we have

min

R

+,lim t→∞R(t)

<R(t)≤R(t) (.)

for allt> , andtis the unique solution of equation (.) on (,∞).

Note that

R

+=c

d

=

. (.)

From (.), (.), (.), (.), and (.) we get

π <R(t)≤R(t) =λ. (.)

Therefore, inequality (.) holds for allt>  if and only ifλ≤/π,λ≥λfollows from

(.) and (.) together with the piecewise monotonicity ofR(t) on (,∞). Numerical

(9)

Theorem . Let p,q∈R.Then the double inequality

cosh–pt

sinht t

p

<I(t) <q sinht

t + ( –q)cosht (.)

or

Lp(a,b)A–p(a,b) <TQ(a,b) <qL(a,b) + ( –q)A(a,b)

holds for all t> or a,b> with a=b if and only if p≥/and q≤/.

Proof If the first inequality of (.) holds for allt> , then

lim t→+

I(t) –cosh–pt(sinhtt )p

t =

 

p–

 ≥,

which implies thatp≥/.

It is not difficult to verify that the functioncosh–pt(sinht/t)pis strictly decreasing with

respect to p∈Rfor any fixedt> , hence we only need to prove the first inequality of (.) for allt>  andp= /, that is,

I(t) >

sinht

t

cosht. (.)

Making use of the power series and Cauchy product formulas together with Lemma . we have

I(t) –

sinht

t

cosht

=

n= n

k=

(k)! k(k!)

((nk))! (nk)((nk)!) –

n+– n+

(n+ )!

tn. (.)

LetWnandsnbe, respectively, defined by Lemma . and Lemma ., and

un= n

k=

(k)! k(k!)

((nk))! (nk)((nk)!) –

n+– n+

(n+ )! . (.)

Then simple computations lead to

u=u= , u=

, u= 

. (.)

It follows from Lemma . and Lemmas .-. together with (.) that

un= n

k=

 (k!)((nk)!)

(k)! k(k!)

((nk))! (nk)((nk)!) –

n+– n+

(n+ )!

=

n

k=

(k!)((nk)!)WkWnk

n+– n+

(10)

> n k= 

(k!)((nk)!)Wn/ –

n+– n+ (n+ )!

= n k=  (k!)((nk)!)

(n/ + /)

(/)(n/ + )

–

n+– n+

(n+ )!

> n k= 

π(n/ + /)(k!)((nk)!) –

n+– n+

(n+ )!

= 

π(n+ )(n!) n

k=

(n!)

(k!)((nk)!) –

n+– n+

(n+ )!

= 

π(n+ )(n!)

(n)! (n!) –

n+– n+ (n+ )!

=

n+(n+– )

π(n+ )!

n+

n+– 

n+  snπ

>

n+(n+– )

π(n+ )!

 + 

ππ

>  (.)

for alln≥.

Therefore, inequality (.) follows from (.)-(.).

If the second inequality of (.) holds for allt> , then we have

lim t→+

I(t) –qsinhtt – ( –q)cosht

t =

 

q–

 ≤,

which implies thatq≤/.

Sincecosht>sinht/t, we only need to prove that the second inequality of (.) holds for allt>  andq= /, that is,

coshtI(t) cosht–sinht/t>

. (.)

Let

αn=

nn! – (n– )!!

nn!(n)! , βn=

n

(n+ )!, γn=

(n+ )(n+ ) (n+ ) Wn,

andWnbe defined by (.).

Then simple computations lead to

coshtI(t) cosht–sinht/t=

n=αntn

n=βntn

, (.)

αn+

βn+

αn

βn

=n+ 

n+ ( –Wn+) – n+ 

n ( –Wn) =

γn– 

n(n+ ), (.)

γn+

γn

=  + n+ 

(n+ ) > , γ=

> . (.)

From (.) and (.) we clearly see that the sequence{αn/βn}∞n=is strictly increasing,

(11)

sinht/t] is strictly increasing on the interval (,∞). Therefore, inequality (.) follows from the monotonicity of (coshtI(t))/[cosht–sinht/t] and the fact that

lim t→+

coshtI(t) cosht–sinht/t=

α

β

=

.

Theorem . Let p,q> ,tbe the unique solution of the equation

d[p(I(t)–)

cosh(pt)–]

dt =  (.)

and

μ= p(I

(t) – ) cosh(pt) – 

. (.)

Then the following statements are true:

(i) The double inequality

 –  p +

pcosh(pt) <I(t) <  –

 q +

qcosh(qt) (.)

or

 – 

pG(a,b) +

 pA

p

p(a,b)G–p(a,b)

<TQ(a,b) <

 – 

qG(a,b) +

 qA

q

q(a,b)G–q(a,b)

holds for allt> ora,b> witha= bif and only ifp≤√/andq≥. (ii) The inequality

I(t)≥ –

μp +

μ

p cosh(pt) (.)

or

TQ(a,b)≥

 –μ

pG(a,b) +

μpA

p

p(a,b)G–p(a,b)

holds for allt> ora,b> witha=bifp∈(√/, ).

Proof (i) Let

R(t) =

p(I(t) – )

cosh(pt) – , (.)

un=

n(n!), vn= pn–

(n)!.

Then simple computations lead to

R(t) =

n=untn

n=vntn

(12)

un+ vn+

un

vn

= – (n)! (p)n(n!)

p– n+ 

n+  . (.)

From (.) we clearly see that the sequence{un/vn}∞n=is strictly decreasing ifp≥ and

strictly increasing ifp≤√/. Then Lemma . and (.) lead to the conclusion that the functionR(t) is strictly decreasing ifp≥ and strictly increasing ifp

/. Hence, we have

R(t) < lim t→+R(t) =

uv

=

 (.)

for allt>  ifp≥ and

R(t) > lim t→+R(t) =

uv

=

 (.)

for allt>  ifp≤√/.

Therefore, inequality (.) holds for allt>  ifp≤√/ andq≥ follows easily from (.) and (.) together with (.).

If the first inequality (.) holds for allt> , then we have

lim t→+

I(t) – ( –p +pcosh(pt))

t =

 

 –p

,

which implies thatp≤√/. If there existsq∈(

/, ) such that the second inequality of (.) holds for allt> , then we have

lim t→∞

I(t) – ( –q 

+ 

qcosh(qt))

eqt ≤. (.)

But the first inequality of (.) leads to

I(t) – ( –q  +

 q

cosh(qt))

eqt

>e

(–q)t

 + t

 –  q e

qt +e

–qt

q → ∞ (t→ ∞),

which contradicts inequality (.).

(ii) Ifp∈(√/, ), then from (.) we know that there exists n∈Nsuch that the

sequence {un/vn}∞n= is strictly decreasing fornnand strictly increasing for nn.

Then (.) and Lemma . lead to the conclusion that there existst∈(,∞) such that

the function R(t) is strictly decreasing on (,t] and strictly increasing on [t,∞). We

clearly see thattsatisfies equation (.). It follows from (.) and (.) together with

the piecewise monotonicity ofR(t) that

R(t)≥R(t) =μ. (.)

(13)

It is not difficult to verify that the function

 –  p +

pcosh(pt)

is strictly increasing with respect topon the interval (,∞) and

cosh

t

 –  >cosh

/t

fort> .

Lettingp=√/, /,√/, /, / andq=  in Theorem .(i), then we get Corol-lary . immediately.

Corollary . The inequalities

cosh/(t) < cosh

t

 –  <  cosh

t

 –

 <cosh

t

< cosh

t

 +

 <

 cosh

t

 +

<I(t) <

 +cosht

or

G/(a,b)A/(a,b) < A//(a,b)G/(a,b) –G(a,b)

< A

/

/(a,b)G/(a,b) –

 G(a,b)

<A

/ √

/(a,b)G

–√/(a,b)

<  A

/

/(a,b)G/(a,b) +

 G(a,b)

< A

√ / √

/(a,b)G

–√/(a,b) +

G(a,b)

<TQ(a,b) <A(a,b) +G(a,b) 

hold for all t> or all a,b> with a=b.

Theorem . Let p> .Then the following statements are true:

(i) The inequality

I(t) >

cosh(pt) 

p(.)

or

TQ(a,b) >G–p(a,b)A  p

p (a,b) (.)

(14)

(iii) The inequalities

cosh/t<cosh √

t

 <

cosh

t

/

<I(t) <cosh

t

 <e

t/

(.)

or

G/(a,b)A/(a,b) <A

/ √

/(a,b)G

–√/(a,b)

<A

/ √

/(a,b)G

–√/(a,b)

<TQ(a,b) <A(a,b) +G(a,b) 

<G(a,b)e(A(a,b)–G(a,b))/(L(a,b))

hold for allt> or alla,b> witha=b.

Proof (i) If inequality (.) holds for allt> , then we have

lim t→+

I(t) – [cosh(pt)]

 p

t =

 

p–

 ≥,

which implies thatp≥√/.

It follows from Lemma  of [] that the function [cosh(pt)]/(p)is strictly decreasing with respect top∈(,∞) for any fixedt> , hence we only need to prove that inequality (.) holds for allt>  andp=√/. From the sixth inequality of Corollary . we clearly see that it suffices to prove that

 cosh

t

 +

 >

cosh

t

/

for allt> , which is equivalent to

log

 cosh(

√ x) +

>

log(coshx) (.)

for allx> , wherex=√t/. Let

f(x) =log

 cosh(

√ x) + 

–

log(coshx), (.)

f(x) = 

sinh(√x)coshx– cosh(√x)sinhx– sinhx,

ξn= (

 – )(√ + )n–+ (√ + )(√ – )n–– ,

ηn= (

 + )n–.

Then simple computations lead to

(15)

f(x) = f(x)

coshx[cosh(√x) + ], (.)

f(x) = ∞

n=

ξn

(n– )!x

n–, (.)

ξ=ξ= , (.)

ηnξn= (

 – )(ηnη)(ηnη). (.)

From (.)-(.) andηn>η>η>  forn≥ we know that

f(x) >  (.)

for allx> .

Therefore, inequality (.) follows easily from (.)-(.) and (.).

(ii) The sufficiency follows easily from the monotonicity of the function p

[cosh(pt)]/(p) and the last inequality in Corollary . together with the identity ( + cosht)/ =cosh(t/).

Next, we prove the necessity. If there exists p ∈ (/,

/) such that I(t) <

[cosh(pt)]/(p

)for allt> , then we have

lim t→∞

I(t) – [cosh(pt)]/(p

 )

et/(p) ≤. (.)

But the first inequality of (.) leads to

I(t) – [cosh(pt)]/(p

 )

et/(p) >   + t

et et/(p)–

 +e–pt

/(p)

→ ∞ (t→ ∞),

which contradicts (.).

(iii) Letp= ,√/,√/, /, +. Then parts (i) and (ii) together with the monotonicity

of the functionp→[cosh(pt)]/(p)lead to (.).

Theorem . Letθ∈[,π/].Then the inequality

I(t) >

cosh(tcosθ) +cosh(tsinθ)

 (.)

or

TQ(a,b) >A

cosθ

cosθ(a,b)G–

cosθ(a,b) +Asinθ

sinθ(a,b)G–

sinθ(a,b)

holds for all t> or all a,b> with a=b if and only ifθ∈[π/, π/].In particular,the inequalities

I(t) >

 

cosh

 –√

t +cosh

 +√

t

>  

cosh

t +cosh

t >cosh

(16)

or

TQ(a,b) >

A

–√/

–√/(a,b)G

–√–√/(a,b) +A

+√/

+√/(a,b)G

–√+√/(a,b)

> A

√ / √

/(a,b)G

–√/+A/

/(a,b)G/(a,b)

 >A

√ / √

/(a,b)G

–√/(a,b)

hold for all t> or all a,b> with a=b.

Proof If inequality (.) holds for allt> , then we have

lim t→+

I(t) –cosh(tcosθ)+cosh(tsinθ)

t = –

cos(θ)≥,

which implies thatθ∈[π/, π/].

Next, we prove the sufficiency of inequality (.). Simple computations lead to

[cosh(tcosθ) +cosh(tsinθ)]

∂θ =

tsin(θ)

sinh(tsinθ)

tsinθ

sinh(tcosθ)

tcosθ

, (.)

sinhx

x

=

x

coshx–sinhx

x >  (.)

forx> .

Equation (.) and inequality (.) imply that the function θ →[cosh(tcosθ) +

cosh(tsinθ)] is decreasing on [,π/] and increasing on [π/,π/] for any fixedt> . Hence, it suffices to prove that inequality (.) holds for allt>  andθ=θ=π/.

Let

ρn=

(–

√   )

n+ (+√  )

n

(n)! , σn=  n(n!),

R(t) =

cosh(tcosθ) +cosh(tsinθ)

I(t)

. (.)

Then simple computations lead to

R(t) =

n=ρntn

n=σntn

, (.)

ρ

σ

=ρ

σ

=ρ

σ

=ρ

σ

= , (.)

ρn+ σn+ ρn σn

–  = – √

[(n+√ – )(√ – )n–+ (n–√ – )(√ + )n–]

(n+ )[(√ – )n+ ( + )n] <  (.)

forn≥.

It follows from Lemma . and (.)-(.) thatR(t) is strictly decreasing on (,∞).

Therefore,

I(t) >

cosh(tcosθ) +cosh(tsinθ)

 (.)

(17)

Letθ =π/,π/,π/. Then inequality (.) follows easily from (.) and the mono-tonicity of the functionθ→[cosh(tcosθ) +cosh(tsinθ)].

Theorem . The inequality

I(t) > sinht

t +

( –π)(tsinht– cosht+ )

πt (.)

holds for all t> .

Proof It is easy to verify that

ddx

 √

 –x =

 + x

( –x)/ > ,

cosh(tx)

∂x =t

cosh(tx) > 

for allt>  andx∈(, ), which implies that the two functions /√ –xandcosh(tx) are

convex with respect toxon the interval (, ). Then from Lemma . and (.) we have

π

I(t) –

π

sinht t

=

cosh(tx) √

 –xdx– 

dx

√  –x

cosh(tx)dx

> 

x √

 –xdx

x–

 cosh(tx)dx

=( –π)(tsinht– cosht+ )

t . (.)

Therefore, inequality (.) follows from (.).

Remark . The inequalityI(t) >sinh(t)/tin (.) is equivalent to the first inequality TQ(a,b) >L(a,b) in (.). Therefore, Theorem . is an improvement of the first inequality in (.).

Letp∈RandM(a,b) be a bivariate mean of two positiveaandb. Then thepth power-type meanMp(a,b) is defined by

Mp(a,b) =M/p

ap,bp (p= ), M(a,b) =

ab.

We clearly see that

Mλp(a,b) =M/

,

for allλ,p∈Randa,b>  ifMis a bivariate mean.

Theorem . The inequality

TQ(a,b) <Ip(a,b)

(18)

Proof The second inequality (.) can be rewritten as

TQ(a,b) <A/(a,b). (.)

In [, ], the authors proved that the inequality

I(a,b) >A/(a,b) (.)

holds for all distinct positive real numbersaandbwith the best possible constant /. Inequalities (.) and (.) lead to

TQ(a,b) <A/(a,b) =A//

a/,b/<I/a/,b/=I/(a,b) (.)

for alla,b>  witha=b.

Ifp≥/, thenTQ(a,b) <I/(a,b)≤Ip(a,b) follows from (.) and the functionpIp(a,b) is strictly increasing [].

IfTQ(a,b) <Ip(a,b) for alla,b>  witha=b. Then

I(t) –et/tanh(pt)–/p<  (.)

for allt> .

Inequality (.) leads to

lim t→+

I(t) –et/tanh(pt)–/p

t =

 

–p ≤,

which implies thatp≥/.

Remark . For alla,b>  witha= b, the Toader meanT(a,b) satisfies the double in-equality [, ]

A/(a,b) <T(a,b) <Alog/(logπ–log)(a,b) (.)

with the best possible constants / andlog/(logπ–log), and the one-sided inequal-ity []

T(a,b) <I/(a,b). (.)

It follows from (.) and (.) that

A//(a,b) =A/

a/,b/<Ta/,b/

=T//(a,b) <I/

a/,b/=I//(a,b),

which can be rewritten as

(19)

Inequalities (.) and (.) lead to the inequalities

TQ(a,b) <A/(a,b) <T/(a,b) <I/(a,b) (.)

for alla,b>  witha=b.

Remark . For alla,b>  witha=b, Theorem . shows that

L/(a,b)A/(a,b) <TQ(a,b) <L(a,b) +A(a,b)

 . (.)

It follows fromL(a,b) <A(a,b)/ + G(a,b)/, given by Carlson in [], andA(a,b) >

L(a,b) that

L(a,b) <L/(a,b)A/(a,b), A(a,b) +G(a,b)

 >

L(a,b) +A(a,b)

 .

Therefore, inequality (.) is an improvement of the first and second inequalities of (.).

Remark . In [, , ], the authors proved that the inequalities

L(a,b) <AGM(a,b) <L/(a,b)A/(a,b) <L/(a,b) (.)

hold for alla,b>  witha=b.

Inequalities (.)-(.) lead to the chain of inequalities

L(a,b) <AGM(a,b) <L/(a,b)A/(a,b)

<TQ(a,b) <A/(a,b) <T/(a,b) <I/(a,b) (.)

for alla,b>  witha=b.

Motivated by the first inequality in (.) and the third inequality in (.), we propose Conjecture ..

Conjecture . The inequality

TQ(a,b) >L/(a,b)

holds for all a,b> with a=b.

For alla,b>  witha=b, inspired by the double inequality

A(a,b)G(a,b) <TQ(a,b) <A(a,b) +G(a,b) 

given in Corollary . and the inequalities

A(a,b)G(a,b) <I(a,b)L(a,b) <I(a,b) +L(a,b)

 <

A(a,b) +G(a,b) 

(20)

Conjecture . The inequality

TQ(a,b) <I(a,b)L(a,b)

holds for all a,b> with a=b.

Remark . LetWnbe the Wallis ratio defined by (.), andcn,dn, andsnbe defined by

(.). Then it follows from Lemma . and the proof of Theorem . that the sequence {sn}∞n= is strictly decreasing andlimn→∞sn= /π, and the sequence{cn/dn}∞n= is strictly

increasing forn= ,  and strictly decreasing forn≥. Hence, we have

π <sn= (n+ )W

ns=

 (.)

and

π =min

cd

, lim n→∞

cn dn

< cn

dn

=

ns n– 

n– cd

=

 (.)

for alln∈N.

Inequalities (.) and (.) lead to the Wallis ratio inequalities

π(n+) <Wn

√ 

n+

and

–n(π– ) + 

π(n+ ) <Wn

 + ×–n

(n+ )

for alln∈N.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Acknowledgements

The authors would like to thank the anonymous referee for his/her valuable comments and suggestions. The research was supported by the Natural Science Foundation of China under Grants 11371125, 11401191, and 61374086.

Received: 14 October 2015 Accepted: 21 January 2016 References

1. Toader, G: Some mean values related to the arithmetic-geometric mean. J. Math. Anal. Appl.218(2), 358-368 (1998) 2. Borwein, JM, Borwein, PB: Inequalities for compound mean iterations with logarithmic asymptotes. J. Math. Anal.

Appl.177(2), 572-582 (1993)

3. Vamanamurthy, MK, Vuorinen, M: Inequalities for means. J. Math. Anal. Appl.183(1), 155-166 (1994)

4. Alzer, H: Sharp inequalities for the complete elliptic integral of the first kind. Math. Proc. Camb. Philos. Soc.124(2), 309-314 (1998)

5. Barnard, RW, Pearce, K, Richards, KC: An inequality involving the generalized hypergeometric function and the arc length of an ellipse. SIAM J. Math. Anal.31(3), 693-699 (2000)

6. Bracken, P: An arithmetic-geometric mean inequality. Expo. Math.19(3), 273-279 (2001)

7. Alzer, H, Qiu, S-L: Monotonicity theorems and inequalities for the complete elliptic integrals. J. Comput. Appl. Math.

(21)

8. András, S, Baricz, Á: Bounds for complete elliptic integrals of the first kind. Expo. Math.28(4), 357-364 (2010) 9. Chu, Y-M, Wang, M-K, Qiu, S-L, Qiu, Y-F: Sharp generalized Seiffert mean bounds for Toader mean. Abstr. Appl. Anal.

2011, Article ID 605259 (2011)

10. Chu, Y-M, Wang, M-K: Inequalities between arithmetic-geometric, Gini, and Toader means. Abstr. Appl. Anal.2012, Article ID 830585 (2012)

11. Chu, Y-M, Wang, M-K, Qiu, S-L: Optimal combinations bounds of root-square and arithmetic means for Toader mean. Proc. Indian Acad. Sci. Math. Sci.122(1), 41-51 (2012)

12. Chu, Y-M, Wang, M-K: Optimal Lehmer mean bounds for the Toader mean. Results Math.61(3-4), 223-229 (2012) 13. Chu, Y-M, Wang, M-K, Ma, X-Y: Sharp bounds for Toader mean in terms of contraharmonic mean with applications.

J. Math. Inequal.7(2), 161-166 (2013)

14. Chu, Y-M, Wang, M-K, Qiu, Y-F, Ma, X-Y: Sharp two parameter bounds for the logarithmic mean and the arithmetic-geometric mean of Gauss. J. Math. Inequal.7(3), 349-355 (2013)

15. Song, Y-Q, Jiang, W-D, Chu, Y-M, Yan, D-D: Optimal bounds for Toader mean in terms of arithmetic and contraharmonic means. J. Math. Inequal.7(4), 751-757 (2013)

16. Li, W-H, Zheng, M-M: Some inequalities for bounding Toader mean. J. Funct. Spaces Appl.2013, Article ID 394194 (2013)

17. Chu, Y-M, Qiu, S-L, Wang, M-K: Sharp inequalities involving the power mean and complete elliptic integral of the first kind. Rocky Mt. J. Math.43(5), 1489-1496 (2013)

18. Hua, Y, Qi, F: The best possible bounds for Toader mean in terms of the centroidal and arithmetic means. Filomat

28(4), 775-780 (2014)

19. Hua, Y, Qi, F: A double inequality for bounding Toader mean by the centroidal mean. Proc. Indian Acad. Sci. Math. Sci.

124(4), 527-531 (2014)

20. Yang, Z-H, Song, Y-Q, Chu, Y-M: Sharp bounds for the arithmetic-geometric mean. J. Inequal. Appl.2014, Article ID 192 (2014)

21. Abramowitz, M, Stegun, IA: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. U.S. Government Printing Office, Washington (1964)

22. Qi, F, Shi, X-T, Liu, F-F, Yang, Z-H: A double inequality for an integral mean in terms of the exponential and logarithmic means. ResearchGate research. http://www.researchgate.net/publication/278968439. doi:10.13140/RG.2.1.2353.6800 23. Pólya, G, Szeg ˝o, G: Problems and Theorems in Analysis I. Springer, Berlin (1998)

24. Qi, F: Bounds for the ratio of two gamma functions. J. Inequal. Appl.2010, Article ID 493058 (2010)

25. Biernacki, M, Krzy˙z, J: On the monotonity of certain functionals in the theory of analytic functions. Ann. Univ. Mariae Curie-Skłodowska, Sect. A9, 135-147 (1955)

26. Yang, Z-H, Chu, Y-M, Wang, M-K: Monotonicity criterion for the quotient of power series with applications. J. Math. Anal. Appl.428(1), 587-604 (2015)

27. Mitrinovi´c, DS, Peˇcari´c, JE, Fink, AM: Classical and New Inequalities in Analysis. Kluwer Academic, Dordrecht (1993) 28. Lupa¸s, A: An integral inequality for convex functions. Publ. Elektroteh. Fak. Univ. Beogr., Ser. Mat. Fiz.381-409, 17-19

(1972)

29. Yang, Z-H: New sharp bounds for logarithmic mean and identric mean. J. Inequal. Appl.2013, Article ID 116 (2013) 30. Pittenger, AO: Inequalities between arithmetic and logarithmic means. Publ. Elektroteh. Fak. Univ. Beogr., Ser. Mat. Fiz.

678-715, 15-18 (1980)

31. Stolarsky, KB: The power and generalized logarithmic means. Am. Math. Mon.87(7), 545-548 (1980) 32. Yang, Z-H, Chu, Y-M: An optimal inequalities chain for bivariate means. J. Math. Inequal.9(2), 331-343 (2015) 33. Yang, Z-H: Very accurate approximations for the elliptic integrals of the second kind in terms of Stolarsky mean

(2015). arXiv:1508.05513 [math.CA]

34. Carlson, BC: The logarithmic mean. Am. Math. Mon.79, 615-618 (1972)

References

Related documents

In this study, the rate of late-onset sepsis, risk factors for infection and isolated pathogenic microorganisms in one neonatal intensive care unit have been compared

The main effect of spatial arrangement and intra row spacing were significantly affected the partial LER of sesame despite their interaction were non- significant

Aims of study: To assess the short term results of usefulness of open reduction and k –wire fixation of displaced, unstable with or with rotation of lateral

The research was developed in the laboratory of Biomedical Engineering and Assistive Technology (ENGEBIO) of the Federal University of Mato Grosso do Sul - UFMS

Specific biological effects under the division of fertility regulating category are non- specific contraceptive or antifertility effects, abortifacient, uterine stimulant and

ABSTRACT: In the present study, novel derivatives of substituted cis- stilbene were prepared from benzyl (chloro) triphenyl phosphorane, substituted phenyl acetic acid and

Hence, Volume 2 (Molecular Embryo Analysis, Live Imaging, Transgenesis, and Cloning) contains detailed descriptions of how to ascertain and study early germ cell development that

Table 11 shows that the lower the number of inhabitants per municipality, the higher will be the illiteracy rate and it is also possible to visualize that over the years,