Ahmed SALEM
Department of Basic Science,F(xiàn)aculty of Information Systems&Computer Science,October 6 University,Sixth of October City,Egypt
Eid S.KAMEL
Department of Mathematics,F(xiàn)aculty Science,Al Jouf University,Sakaka,Al Jouf,Kingdom of Saudi Arabia
SOME COMPLETELY MONOTONIC FUNCTIONS ASSOCIATED WITH THE q-GAMMA AND THE q-POLYGAMMA FUNCTIONS?
Ahmed SALEM
Department of Basic Science,F(xiàn)aculty of Information Systems&Computer Science,October 6 University,Sixth of October City,Egypt
E-mail:ahmedsalem74@hotmail.com
Eid S.KAMEL
Department of Mathematics,F(xiàn)aculty Science,Al Jouf University,Sakaka,Al Jouf,Kingdom of Saudi Arabia
E-mail:Kamel-email:es kamel@yahoo.com
In this paper,the q-analogue of the Stirling formula for the q-gamma function(Moak formula)is exploited to prove the complete monotonicity properties of some functions involving the q-gamma and the q-polygamma functions for all real number q> 0.The monotonicity of these functions is used to establish sharp inequalities for the q-gamma and the q-polygamma functions and the q-Harmonic number.Our results are shown to be a generalization of results which were obtained by Selvi and Batir[23].
completely monotonic functions;inequalities;q-gamma function;q-polygamma function
2010 MR Subject Classification 33D05;26D15;26A48
In the recent past a lot of papers appeared providing inequalities and complete monotonicity properties for the gamma function,q-gamma function and related functions;see[2-4,6-10,14,15,17,20-23]and the references given therein.Sevli and Batir[23]concerned the function
and some other functions related toμ(x),whereμ(x)is the classical remainder in the Stirling formula for gamma function given as
It is well known thatμ(x)is completely monotonic on(0,∞).They obtained some complete monotonicity results and as applications of these they offer upper and lower bounds for thegamma function and harmonic numbers.Many of the classical facts about the ordinary gamma function were extended to the q-gamma function(see[5,12,13,16,19]and the references given therein).The q-gamma function is defined for positive real numbers x and q/=1 as
and
From the definitions,for a positive x and q≥1,we get
An important fact for gamma function in applied mathematics as well as in probability is the Stirling formula that gives a pretty accurate idea about the size of gamma function.With the Euler-Maclaurin formula,Moak[12]obtained the following q-analogue of Stirling formula(see also[17])
where H(·)denotes the Heaviside step function,Bkare the Bernoulli numbers,?q=q if 0<q≤1 and?q=q-1if q≥1[x]q=(1-qx)/(1-q),Li2(z)is the dilogarithm function defined for complex argument z as[1]
Pkis a polynomial of degree k satisfying
and
where r=exp(4π2/logq).It is easy to see that
and so(1.6)when letting q→1,tends to the ordinary Stirling formula[1]
An important related function to q-gamma function is the q-digamma function(q-Psi function ψq)defined as the logarithmic derivative of the q-gamma function
From(1.3),we get for all real variable x>0,
Krattenthaler and Srivastava[11]proved that ψq(x)tends to ψ(x)when letting q→1 where ψ(x)is the ordinary Psi(digamma)function.For more details on q-digamma function see[18].
A real-valued function f,defined on an interval I,is called completely monotonic,if f has derivatives of all orders and satisfies
These functions have numerous applications in various branches,like,for instance,numerical analysis and probability theory.From(1.13)and(1.14),Alzer and Grinshpan[3]concluded that ψ′q(x)is strictly completely monotonic on(0,∞)for any q>0,that is,
Selvi and Batir[20]proved the complete monotonicity properties of some functions involving the gamma and polygamma functions.As consequences of them they established various inequalities for the gamma function and the harmonic numbers.The main purpose of this paper is to generalizing of their results for q>0 after replacing the ordinary concepts by its q-analogues in q-calculus.Further results are also derived.
According to Moak formula for q-gamma function(1.6),the q-analogue ofμ(x)defined in(1.2)can be denoted and defined as
It is useful to prove thatμq(x)is completely monotonic on(0,∞)for q>0;this follows from the theorem.
Theorem 2.1 The functionμq(x)as defined in(2.1)is completely monotonic on(0,∞)for all real q>0.
Proof Differentiation yields
When 0<q<1,(1.13)gives
where
From the previous relations,we can conclude that
which reveals that-μ′q(x)is completely monotonic on(0,∞). When q≥1,(1.5)and(2.2)give
As a consequence of the previous theorem and the fact that
we obtain the following bounds for the q-gamma function.
Corollary 2.2 Let x and q be positive real numbers.Then we have
and
where
A q-analogue of Harmonic number defined by[24]as
which can be related to ψq(n+1)for a positive integer n by
we can deduce the following.
Corollary 2.3 Let x and q be positive real numbers.Then we have
and for a positive integer n,we have
Lemma 2.4 The function
Proof Differentiaition gives y log2yg′(y)=h(y)where
Differentiation again gives y logy(2(1-y)+logy+y logy)2h′(y)=f(y),where
Using the same technique used to prove Lemma 1.1 in[17],we can write f(y)as
where
Theorem 2.5 Let x,q>0 and a≥0.The function
is completely monotonic if and only if a≥g(?q)where g(q)as defined in(2.11).Also,the function-Fb(x;q)is completely monotonic if and only if b=0.
Proof Differentiation yields for q>0
When 0<q<1 and x>0,we conclude that
where
It is obvious that the function a→f(a,y),0<y<1 is decreasing and it has just one zero function depending on y at a=g(y),0<y<1 where the function g defined as in(2.11).The function f(0,y)can be computed after short calculations as
When q≥1 and x>0,(1.5)and(2.14)give
These conclude that-F′a(x;q);a≥g(?q)and F′0(x;q)are completely monotonic on(0,∞)for q>0.This means that Fa(x;q);a>g(?q)is decreasing on(0,∞)for q>0 and F0(x;q)is increasing on(0,∞)for q>0.From(1.13)and(1.5)we get
Conversely,let Fa(x;q)is completely monotonic on(0,∞)for q>0,then?q-xFa(x;q)≥0. Salem[17]proved that
and from(1.13)we get
These conclude that
or equivalently
From the above theorem,we can obtain F0(x;q)<0<Fg(?q)(x;q),x>0 from which we provide the following.
Corollary 2.6 Let x and q be positive real numbers.Then we have
with the best possible constants α=g(?q)and β=0 for q>0.
Theorem 2.7 Let x and q be positive real numbers.Then the function
is completely monotonic on(0,∞)for q>0.
Proof Differentiation yields
When 0<q<1 and x>0 we conclude that
where
which can be read as
where
and
Let?is the forward shift operator and?i=?(?i-1),i=1,2,···.It is easy to see that?3?2(n)=3?32?n-6>0 for all n≥4 and?2?2(4),??2(4)and ?2(4)are greater than zero which lead to ?2(n)>0 for all n≥4.These yield that the function ?(y)>0;y∈(0,1). Therefore the function-G′q(x)is completely monotonic on(0,∞).
When q≥1 and x>0,(1.5)and(2.17)give
which leads to-G′q(x)is completely monotonic on(0,∞).These conclude that-G′q(x)is completely monotonic on(0,∞)for q>0.This means that Gq(x)is decreasing on(0,∞).To complete the proof,it suffices to prove thatTo do this,we havefor q>0 and when 0<q<1,we get
and when q>1,we get
These end the proof.
Corollary 2.8 Let x and q be positive real numbers.Then we have
Corollary 2.9 Let x and q be positive real numbers.Then we have
and for a positive integer n,we have
where
The proofs of the previous two corollaries come from the monotonicity of Gq(x)and G′q(x)and the facts
and
Theorem 2.10 Let x and q be positive real numbers.Then the function
is strictly completely monotonic on(0,∞)for q>0.
Proof Differentiation yields
When 0<q<1 and x>0 we conclude that
where
which can be rewrite,after short calculations,as
This means that K′q(x)<0;x∈(0,∞).Thus it follows from(2.23)that-K′q(x)is strictly completely monotonic on(0,∞)for 0<q<1.
to compute that
Using the previous result to calculate the limit
Corollary 2.11 Let x and q be positive real numbers.Then we have
Corollary 2.12 Let x and q be positive real numbers.Then we have
and
Similarly,the proofs of the previous two corollaries come from the monotonicity of Kq(x)and K′q(x)and the facts
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?Received April 24,2013.
Acta Mathematica Scientia(English Series)2015年5期