A separation of some Seiffert-type means by power means
June 12, 2012
\(^\ast \)Department of Computer Science, Technical University of Cluj-Napoca, Baritiu st. no. 28, Cluj-Napoca, Romania, e-mail: Iulia.Costin@cs.utcluj.ro.
\(^\S \)Department of Mathematics, Technical University of Cluj-Napoca, Baritiu st. no. 25, Cluj-Napoca, Romania, e-mail: Gheorghe.Toader@math.utcluj.ro.
Consider the identric mean \(\mathcal{I}\), the logarithmic mean \(\mathcal{L,}\) two trigonometric means defined by H. J. Seiffert and denoted by \(\mathcal{P} \) and \(\mathcal{T,}\) and the hyperbolic mean \(\mathcal{M}\) defined by E. Neuman and J. Sándor\(.\) There are a number of known inequalities between these means and some power means \(\mathcal{A}_{p}.\) We add to these inequalities some new results obtaining the following chain of inequalities
MSC. 26E60
Keywords. Seiffert type means; power means; logarithmic mean; identric mean; inequalities of means.
1 Introduction
A mean is a function \(M:\mathbb {R}_{+}^{2}\rightarrow \mathbb {R}_{+},\) with the property
Each mean is reflexive, that is
This is also used as the definition of \(M(a,a)\).
A mean is symmetric if
it is homogeneous (of degree 1) if
We shall refer here to the following symmetric and homogeneous means:
- the power means \(\mathcal{A}_{p}\), defined by
- the geometric mean \(\mathcal{G}\), defined as \(\mathcal{G}(a,b)=\sqrt{ab},\) but verifying also the property
- the identric mean \(\mathcal{I}\) defined by
- the Gini mean \(\mathcal{S}\) defined by
- the first Seiffert mean \(\mathcal{P}\), defined in [ 9 ] by
- the second Seiffert mean \(\mathcal{T}\), defined in [ 10 ] by
- the Neuman-Sándor mean \(\mathcal{M}\), defined in [ 6 ] by
- the logarithmic mean \(\mathcal{L}\) defined by
As remarked B.C. Carlson in [ 1 ] , the logarithmic mean can be represented also by
thus the last four means are very similar.
Being rather complicated, these means were evaluated by simpler means, first of all by power means. For two means \(M\) and \(N\) we write \(M{\lt}N\) if \(M(a,b){\lt}N(a,b)\) for \(a\neq b.\) It is known that the family of power means is an increasing family of means, thus
The evaluation of a given mean \(M\) by power means assumes the determination of some real indices \(p\) and \(q\) such that \(\mathcal{A}_{p}{\lt}M{\lt}\mathcal{A}_{q}.\) The evaluation is optimal if \(p\) is the the greatest and \(q\) is the smallest index with this property. This means that \(M \) cannot be compared with \(\mathcal{A}_{r}\) if \(p{\lt}r{\lt}q.\)
Optimal evaluation were given for the logarithmic mean in [ 5 ]
for the identric mean in [ 8 ]
and for the first Seiffert mean in [ 3 ]
Following evaluations are also known:
proved in [ 4 ] ,
given in [ 10 ] ,
as it was shown in [ 6 ] and
as it is proved in [ 7 ] . In [ 2 ] it is proven that
and using some of the above results, it is obtained the following chain of inequalities
Here we retain another chain of inequalities
Our aim is to prove that \(\mathcal{A}_{4/3}\) can be put between \(\mathcal{M}\) and \(\mathcal{T}\) and \(\mathcal{A}_{2}\) can be replaced by \(\mathcal{A}_{5/3}\mathcal{.}\) We obtain so another nice separation of these means by “equidistant" power means.
2 Main results
We add to the inequalities (2) the next results.
The following inequalities
hold.
we can assume that \(a{\gt}b\) and denote \(a/b=t^{3}{\gt}1.\) The inequality becomes
or
Denoting
we have to prove that \(f(t){\gt}0\) for \(t{\gt}1.\) As \(f(1)=0,\) we want to prove that \(f^{\prime }(t){\gt}0\) for \(t{\gt}1.\) We have
and so it is positive if
is positive. Or
so that the property is certainly true. The second inequality is a simple consequence of (1) because \(\mathcal{\mathcal{A}}_{4/3}{\lt}\mathcal{\mathcal{A}}_{3/2}\mathcal{.}\) For the last inequality
we can again consider \(\tfrac {a}{b}=t^{3}{\gt}1\) and we have to prove that
This is equivalent with the condition that the function
is positive for \(t{\gt}1.\) As \(h(1)=0\) and
we have \(h(t){\gt}0\) for \(t{\gt}1\) if \(h^{\prime }(t){\gt}0\) for \(t{\gt}1,\) thus if the function
is positive for \(t{\gt}1.\) Or this is obvious because
For the factorization of the polynomials \(g\) and \(k\ \)we have used the computer algebra Maple.â–¡
It is an open problem for us to find a mean \(N\), related to the above mentioned means, with the property that
For instance, the mean \(\mathcal{S},\) which is similar to \(\mathcal{I},\) is not convenient as follows from (2).â–¡
For each \(x\in \left( 0,1\right) \) we have the following evaluations
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