Skip to main content

Inequalities for certain means in two arguments

Abstract

In this paper, we present the sharp bounds of the ratios \(U(a,b)/L_{4}(a,b)\), \(P_{2}(a,b)/U(a,b)\), \(NS(a,b)/P_{2}(a,b)\) and \(B(a,b)/NS(a,b)\) for all \(a, b>0\) with \(a\neq b\), where \(L_{4}(a,b)=[(b^{4}-a^{4})/(4(\log b-\log a))]^{1/4}\), \(U(a,b)=(b-a)/[\sqrt{2}\arctan((b-a)/\sqrt{2ab})]\), \(P_{2}(a,b)=[(b^{2}-a^{2})/(2\arcsin ((b^{2}-a^{2})/(b^{2}+a^{2})))]^{1/2}\), \(NS(a,b)=(b-a)/[2\sinh ^{-1}((b-a)/(b+a))]\), \(B(a,b)=Q(a,b)e^{A(a,b)/T(a,b)-1}\), \(A(a,b)=(a+b)/2\), \(Q(a,b)=\sqrt{(a^{2}+b^{2})/2}\), and \(T(a,b)=(a-b)/[2\arctan((a-b)/(a+b))]\).

1 Introduction

For \(r\in\mathbb{R}\), the rth power mean \(M(a,b; r)\) of two distinct positive real numbers a and b is defined by

$$ M(a,b; r)= \textstyle\begin{cases} (\frac{a^{r}+b^{r}}{2} )^{1/r},& r\neq0, \\ \sqrt{ab}, & r=0. \end{cases} $$
(1.1)

It is well known that \(M(a,b; r)\) is continuous and strictly increasing with respect to \(r\in\mathbb{R}\) for fixed \(a, b>0\) with \(a\neq b\). Many classical means are the special cases of the power mean, for example, \(M(a,b; -1)=2ab/(a+b)=H(a,b)\) is the harmonic mean, \(M(a,b; 0)=\sqrt{ab}=G(a,b)\) is the geometric mean, \(M(a,b; 1)=(a+b)/2=A(a,b)\) is the arithmetic mean, and \(M(a,b; 2)=\sqrt {(a^{2}+b^{2})/2}=Q(a,b)\) is the quadratic mean. The main properties for the power mean are given in [1].

Let

$$\begin{aligned}& L(a,b)=\frac{a-b}{\log a-\log b}, \qquad P(a,b)=\frac{a-b}{2\arcsin (\frac{a-b}{a+b} )}, \\& U(a,b)=\frac{a-b}{\sqrt{2}\arctan (\frac{a-b}{\sqrt {2ab}} )},\qquad NS(a,b)=\frac{a-b}{2\sinh^{-1} (\frac {a-b}{a+b} )}, \end{aligned}$$
(1.2)
$$\begin{aligned}& T(a,b)=\frac{a-b}{2\arctan (\frac{a-b}{a+b} )}, \qquad B(a,b)=Q(a,b)e^{A(a,b)/T(a,b)-1} \end{aligned}$$
(1.3)

be, respectively, the logarithmic mean, first Seiffert mean [2], Yang mean [3], Neuman-Sándor mean [4, 5], second Seiffert mean [6], Sándor-Yang mean [3, 7] of two distinct positive real numbers a and b.

Recently, the sharp bounds for certain bivariate means in terms of the power mean have attracted the attention of many mathematicians.

Radó [8] and Lin [9], Jagers [10] and Hästö [11, 12] proved that the double inequalities

$$\begin{aligned}& M(a,b; 0)< L(a,b)< M(a,b; 1/3), \end{aligned}$$
(1.4)
$$\begin{aligned}& M(a,b; \log2/\log\pi)< P(a,b)< M(a,b; 2/3) \end{aligned}$$
(1.5)

hold for all \(a, b>0\) and \(a\neq b\) with the best possible parameters 0, \(1/3\), \(\log2/\log\pi\), and \(2/3\).

In [1317], the authors proved that the double inequalities

$$\begin{aligned}& M(a,b; \alpha)< NS(a,b)< M(a,b; \beta), \end{aligned}$$
(1.6)
$$\begin{aligned}& M(a,b; \lambda)< U(a,b)< M(a,b; \mu) \end{aligned}$$
(1.7)

hold for all \(a, b>0\) and \(a\neq b\) if and only if \(\alpha\leq\log 2/\log[2\log(1+\sqrt{2})]\), \(\beta\geq4/3\), \(\lambda\leq2\log 2/(2\log\pi-\log2)\) and \(\mu\geq4/3\).

Very recently, Yang and Chu [18] presented that \(p=4\log2/(4+2\log 2-\pi)\) and \(q=4/3\) are the best possible parameters such that the double inequality

$$ M(a,b; p)< B(a,b)< M(a,b; q) $$
(1.8)

holds for all \(a, b>0\) and \(a\neq b\).

Let

$$ L_{4}(a,b)=L^{1/4}\bigl(a^{4}, b^{4}\bigr)= \biggl(\frac{b^{4}-a^{4}}{4(\log b-\log a)} \biggr)^{1/4} $$
(1.9)

and

$$ P_{2}(a,b)=P^{1/2}\bigl(a^{2}, b^{2}\bigr)= \biggl(\frac{b^{2}-a^{2}}{2\arcsin (\frac{b^{2}-a^{2}}{b^{2}+a^{2}} )} \biggr)^{1/2} $$
(1.10)

be, respectively, the fourth-order logarithmic and second-order first Seiffert means of a and b.

Then from (1.4)-(1.10) we clearly see that \(M(a, b; 4/3)\) is the common sharp upper power mean bound for \(L_{4}(a,b)\), \(U(a,b)\), \(P_{2}(a,b)\), \(NS(a,b)\), and \(B(a,b)\). Therefore, it is natural to ask what are the size relationships among these means? The main purpose of this paper is to answer this question.

2 Lemmas

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

Lemma 2.1

(See Lemma 7 of [19])

Let \(\{a_{k}\}_{k=0}^{\infty}\) be a nonnegative real sequence with \(a_{m}>0\) and \(\sum_{k=m+1}^{\infty }a_{k}>0\), and

$$ P(t)=-\sum_{k=0}^{m}a_{k}t^{k}+ \sum_{k=m+1}^{\infty}a_{k}t^{k} $$

be a convergent power series on the interval \((0, \infty)\). Then there exists \(t_{m+1}\in(0, \infty)\) such that \(P(t_{m+1})=0\), \(P(t)<0\) for \(t\in(0, t_{m+1})\) and \(P(t)>0\) for \(t\in(t_{m+1}, \infty)\).

Lemma 2.2

Let \(n\in\mathbb{N}\). Then

$$ 9(n-3)4^{2n}-8n(4n-11)3^{2n}+72n(n-1)2^{2n}-72n(20n-13)>0 $$

for all \(n\geq6\).

Proof

Let

$$\begin{aligned}& v_{n}=9(n-3)4^{2n}-8n(4n-11)3^{2n}+72n(n-1)2^{2n}-72n(20n-13), \\& v^{\ast}_{n}=9\times \biggl(\frac{4}{3} \biggr)^{2n}-\frac{8n(4n-11)}{n-3}. \end{aligned}$$
(2.1)

Then we clearly see that

$$\begin{aligned}& v^{\ast}_{6}=\frac{4\text{,}495\text{,}024}{59\text{,}049}>0, \end{aligned}$$
(2.2)
$$\begin{aligned}& v_{n}\geq9(n-3)4^{2n}-8n(4n-11)3^{2n}+72n(n-1)2^{12}-72n(20n-13) \\& \hphantom{v_{n}}=9(n-3)4^{2n}-8n(4n-11)3^{2n}+72n(4 \text{,}076n-4\text{,}083) \\& \hphantom{v_{n}}>9(n-3)4^{2n}-8n(4n-11)3^{2n} \\& \hphantom{v_{n}}=(n-3)3^{2n} \times v^{\ast}_{n}, \end{aligned}$$
(2.3)
$$\begin{aligned}& v^{\ast}_{n+1}- \biggl(\frac{4}{3} \biggr)^{2}v^{\ast}_{n}= \frac {8(28n^{3}-169n^{2}+334n-189)}{9(n-2)(n-3)}>0 \end{aligned}$$
(2.4)

for \(n\geq6\).

It follows from (2.2) and (2.4) that

$$ v^{\ast}_{n}>0 $$
(2.5)

for \(n\geq6\).

Therefore, Lemma 2.2 follows easily from (2.1), (2.3), and (2.5). □

Lemma 2.3

Let \(t>0\) and

$$ g_{1}(t)=\frac{\sqrt{2}}{2}\arctan \bigl(\sqrt{2} \sinh(t) \bigr)-\frac{4t\sinh^{2}(2t)}{\sinh(4t)\sinh(t)+4t\sinh(3t)}. $$
(2.6)

Then there exists a unique \(t_{0}\in(0, \infty)\) such that \(g_{1}(t)<0\) for \(t\in(0, t_{0})\), \(g_{1}(t_{0})=0\), and \(g_{1}(t)>0\) for \(t\in(t_{0}, \infty)\).

Proof

It follows from (2.6) that

$$\begin{aligned}& g_{1}\bigl(0^{+}\bigr)=0,\qquad \lim_{t\rightarrow\infty}g_{1}(t)= \frac{\sqrt {2}}{4}\pi>0, \end{aligned}$$
(2.7)
$$\begin{aligned}& g_{1}(t)=\frac{\sqrt{2}}{2}\arctan \bigl(\sqrt{2}\sinh(t) \bigr)- \frac{16t\sinh(t)\cosh^{2}(t)}{\sinh(4t)+16t\cosh^{2}(t)-4t}, \\& g^{\prime}_{1}(t)=\frac{\cosh(t)}{ (1+2\sinh^{2}(t) ) (\sinh(4t)+16t\cosh^{2}(t)-4t )^{2}}g_{2}(t), \end{aligned}$$
(2.8)

where

$$\begin{aligned} g_{2}(t) =&t^{2}\bigl[128\cosh^{2}(t) \sinh^{2}(t)-512\cosh^{4}(t)\sinh ^{2}(t)-64 \cosh^{2}(t)+256\sinh^{4}(t) \\ &{}+128\sinh^{2}(t)+16\bigr]+t\bigl[16 \sinh(4t)\cosh ^{2}(t)-32\sinh(4t)\cosh^{2}(t) \sinh^{2}(t) \\ &{}+128\cosh(4t)\cosh(t)\sinh^{3}(t)+64\cosh(4t)\cosh(t)\sinh (t) \\ &{}-64 \sinh(4t)\sinh^{4}(t)-32\sinh(4t)\sinh^{2}(t)-8\sinh(4t)\bigr] \\ &{}+\sinh^{2}(4t)-32 \cosh(t)\sinh (4t)\sinh^{3}(t)-16\cosh(t)\sinh(4t)\sinh(t) \\ =&-\frac{3}{2}\cosh(8t)+2t\sinh(8t)-16t^{2}\cosh(6t)+12t\sinh (6t)+16t^{2}\cosh(4t) \\ &{}-4t\sinh(4t)-80t^{2}\cosh(2t)+12t\sinh(2t)+32t^{2}+ \frac{3}{2}. \end{aligned}$$
(2.9)

Making use of power series formulas, (2.9) gives

$$ g_{2}(t)=\sum_{n=2}^{\infty} \frac{v_{n}}{18\times(2n)!}(2t)^{2n}, $$
(2.10)

where \(v_{n}\) is defined by (2.1).

Note that

$$ v_{2}=v_{3}=0, \qquad v_{4}=-258 \text{,}048,\qquad v_{5}=-940\text{,}032. $$
(2.11)

From Lemma 2.1, (2.8), (2.10), and (2.11) we know that there exists \(t_{1}\in(0, \infty)\) such that \(g_{1}(t)\) is strictly decreasing on \((0, t_{1}]\) and strictly increasing on \([t_{1}, \infty)\).

Therefore, Lemma 2.3 follows easily from (2.7) and the piecewise monotonicity of \(g_{1}(t)\). □

Lemma 2.4

The inequality

$$ -2x^{2}\cos x+\sin^{2}x\cos x+2x^{2} \cos^{2}x+x\sin x+x^{2}-3x\cos x\sin x>0 $$

holds for all \(x\in(0, \pi/2)\).

Proof

Simple computations lead to

$$\begin{aligned}& -2x^{2}\cos x+\sin^{2}x\cos x+2x^{2} \cos^{2}x+x\sin x+x^{2}-3x\cos x\sin x \\& \quad =x^{2}\cos(2x)-2x^{2}\cos x+\frac{1}{4}\cos x- \frac{1}{4}\cos (3x)+x\sin x-\frac{3}{2}x\sin(2x)+2x^{2} \\& \quad =\sum_{n=2}^{\infty}(-1)^{n-1} \frac {3^{2n}+4n(n-2)2^{2n}-32n^{2}+24n-1}{4\times(2n)!}x^{2n}. \end{aligned}$$
(2.12)

Let

$$\begin{aligned}& \omega_{n}=\frac{3^{2n}+4n(n-2)2^{2n}-32n^{2}+24n-1}{4\times(2n)!}x^{2n}, \end{aligned}$$
(2.13)
$$\begin{aligned}& \omega^{\ast}_{n}=3^{2n}+4n(n-2)2^{2n}-32n^{2}+24n-1. \end{aligned}$$
(2.14)

Then

$$\begin{aligned}& \omega_{2}=0, \qquad \omega_{3}=\frac{4x^{6}}{9}>0, \end{aligned}$$
(2.15)
$$\begin{aligned}& \omega^{\ast}_{n}> 4n(n-2)2^{6}-32n^{2}+24n=8n(28n-61)>0 \quad (n\geq3), \end{aligned}$$
(2.16)
$$\begin{aligned}& \omega^{\ast}_{n+1}-9\omega^{\ast }_{n}=- \bigl(5n^{2}-18n+4\bigr)4^{n+1}+256n(n-1)< 0 \quad (n \geq4), \end{aligned}$$
(2.17)
$$\begin{aligned}& \frac{\omega_{4}}{\omega_{3}}=\frac{x^{2}}{56}\frac{\omega^{\ast }_{4}}{\omega^{\ast}_{3}}=\frac{x^{2}}{56}\times \frac{14\text{,}336}{1\text{,}280} =\frac{x^{2}}{5}< \frac{\pi^{2}}{20}. \end{aligned}$$
(2.18)

It follows from (2.13), (2.14), (2.16), and (2.17) that

$$\begin{aligned}& \omega_{n}>0 \quad (n\geq3), \end{aligned}$$
(2.19)
$$\begin{aligned}& \frac{\omega_{n+1}}{\omega_{n}}=\frac{x^{2}}{(2n+1)(2n+2)}\frac {\omega^{\ast}_{n+1}}{\omega^{\ast}_{n}} < \frac{9x^{2}}{(2n+1)(2n+2)}< \frac{\pi^{2}}{40} \quad (n\geq4). \end{aligned}$$
(2.20)

Inequalities (2.18)-(2.20) imply that the sequence \(\{\omega_{n}\}\) is strictly decreasing for \(n\geq3\), \(\lim_{n\rightarrow\infty}\omega _{n}=0\) and \(\sum_{n=2}^{\infty}(-1)^{n-1}\omega_{n}\) is a Leibniz series. Therefore, Lemma 2.4 follows from (2.12), (2.13), and (2.15). □

Lemma 2.5

The inequality

$$ \frac{\sqrt{2}\sinh(2t)\cosh(t)\arcsin(\tanh(2t))}{\sinh (2t)+\cosh(2t)\arcsin(\tanh(2t))}-\arctan \bigl(\sqrt{2}\sinh (t) \bigr)>0 $$

hold for all \(t\in(0, \infty)\).

Proof

Let \(x=\arcsin(\tanh(2t))\in(0, \pi/2)\) and

$$ h_{1}(t)=\frac{\sqrt{2}\sinh(2t)\cosh(t)\arcsin(\tanh(2t))}{\sinh (2t)+\cosh(2t)\arcsin(\tanh(2t))}-\arctan \bigl(\sqrt{2}\sinh (t) \bigr). $$
(2.21)

Then

$$\begin{aligned}& \sinh(2t)=\tan x, \qquad \cosh(2t)=\frac{1}{\cos x},\qquad \tanh(t)= \frac {1-\cos x}{\sin x}, \\& h_{1}\bigl(0^{+}\bigr)=0, \end{aligned}$$
(2.22)
$$\begin{aligned}& h_{1}(t)=\frac{\sqrt{2}x\sin x}{x+\sin x}\cosh(t)-\arctan \bigl(\sqrt{2}\sinh(t) \bigr), \\& h^{\prime}_{1}(t)=\frac{d}{dx} \biggl(\frac{\sqrt{2}x\sin x}{x+\sin x} \biggr)\frac{d[\arcsin(\tanh(2t))]}{dt}\cosh(t) +\frac{\sqrt{2}x\sin x}{x+\sin x}\sinh(t)-\frac{\sqrt{2}\cosh (t)}{\cosh(2t)} \\& \hphantom{h^{\prime}_{1}(t)}=\frac{\sqrt{2}\cosh(t) [2x^{2}\cos x-2x\sin x-x^{2}+\sin ^{2}x ]}{(x+\sin x)^{2}\cosh(2t)} +\frac{\sqrt{2}x\sin x}{x+\sin x}\sinh(t) \\& \hphantom{h^{\prime}_{1}(t)}=\sqrt{2}\cosh(t) \biggl[\frac{\cos x (2x^{2}\cos x-2x\sin x-x^{2}+\sin^{2}x )}{(x+\sin x)^{2}}+\frac{x\sin x(1-\cos x)}{\sin x(x+\sin x)} \biggr] \\& \hphantom{h^{\prime}_{1}(t)}=\frac{\sqrt{2}\cosh(t)[-2x^{2}\cos x+\sin^{2}x\cos x+2x^{2}\cos ^{2}x+x\sin x+x^{2}-3x\cos x\sin x]}{(x+\sin x)^{2}}. \end{aligned}$$
(2.23)

Therefore, Lemma 2.5 follows easily from (2.21)-(2.23) and Lemma 2.4. □

3 Main results

Theorem 3.1

The double inequality

$$ \lambda_{1}L_{4}(a,b)\leq U(a,b)< \mu_{1}L_{4}(a,b) $$

holds for all \(a, b>0\) with \(a\neq b\) if and only if \(\lambda_{1}\leq c_{0}\) and \(\mu_{1}=\infty\), where

$$ c_{0}=e^{\log(\sinh(t_{0}))-\log(\arctan(\sqrt{2}\sinh (t_{0})))-\log(\sinh(4t_{0})/t_{0})/4+\log2} $$

and \(t_{0}\in(0, \infty)\) is defined by Lemma  2.3. Moreover, numerical computations show that \(t_{0}=1.1336\ldots\) and \(c_{0}=0.9991\ldots\) .

Proof

Since \(U(a,b)\) and \(L_{4}(a,b)\) are symmetric and homogeneous of degree 1, without loss of generality, we assume that \(b>a>0\). Let \(t=\log\sqrt{b/a}>0\), then (1.2) and (1.9) lead to

$$\begin{aligned}& U(a,b)=\frac{\sqrt{2ab}\sinh(t)}{\arctan (\sqrt{2}\sinh (t) )}, \qquad L_{4}(a,b)=\sqrt{ab} \biggl(\frac{\sinh (4t)}{4t} \biggr)^{1/4}, \end{aligned}$$
(3.1)
$$\begin{aligned}& \log\frac{U(a,b)}{L_{4}(a,b)}=\log\bigl(\sinh(t)\bigr)-\log \bigl(\arctan \bigl( \sqrt{2}\sinh(t) \bigr) \bigr) \\& \hphantom{\log\frac{U(a,b)}{L_{4}(a,b)}={}}{}-\frac{1}{4}\log\bigl(\sinh(4t)\bigr) + \frac{1}{4}\log t+\log2. \end{aligned}$$
(3.2)

Let

$$\begin{aligned} g(t) =&\log\bigl(\sinh(t)\bigr)-\log \bigl(\arctan \bigl(\sqrt{2} \sinh (t) \bigr) \bigr) \\ &{}-\frac{1}{4}\log\bigl(\sinh(4t)\bigr) + \frac{1}{4}\log t+\log2. \end{aligned}$$
(3.3)

Then

$$\begin{aligned}& g\bigl(0^{+}\bigr)=0, \qquad \lim_{t\rightarrow\infty}g(t)= \infty, \end{aligned}$$
(3.4)
$$\begin{aligned}& g^{\prime}(t)=\frac{\cosh(t)}{\sinh(t)}-\frac{\sqrt{2}\cosh (t)}{\arctan (\sqrt{2}\sinh(t) )\cosh(2t)}-\frac{\cosh (4t)}{\sinh(4t)}+ \frac{1}{4t} \\& \hphantom{g^{\prime}(t)}=\frac{\sinh(4t)\sinh(t)+4t\sinh(3t)}{4t\sinh(4t)\sinh(t)}-\frac {\sqrt{2}\cosh(t)}{\arctan (\sqrt{2}\sinh(t) )\cosh(2t)} \\& \hphantom{g^{\prime}(t)}=\frac{\sqrt{2}(\sinh(4t)\sinh(t)+4t\sinh(3t))}{4t\sinh(4t)\sinh (t)\arctan (\sqrt{2}\sinh(t) )}g_{1}(t), \end{aligned}$$
(3.5)

where \(g_{1}(t)\) is defined by (2.6).

It follows from Lemma 2.3 and (3.5) that there exists a unique \(t_{0}\in(0, \infty)\) such that \(g_{1}(t_{0})=0\), \(g(t)\) is strictly decreasing on \((0, t_{0}]\) and strictly increasing on \([t_{0}, \infty)\).

Therefore, Theorem 3.1 follows from (3.2)-(3.4) and the piecewise monotonicity of \(g(t)\). □

Theorem 3.2

The double inequality

$$ \lambda_{2}U(a,b)< P_{2}(a,b)< \mu_{2}U(a,b) $$

holds for all \(a, b>0\) with \(a\neq b\) if and only if \(\lambda_{2}\leq 1\) and \(\mu_{2}\geq\sqrt{\pi/2}=1.2533\ldots\) .

Proof

Since \(U(a,b)\) and \(P_{2}(a,b)\) are symmetric and homogeneous of degree 1, without loss of generality, we assume that \(b>a>0\). Let \(t=\log\sqrt{b/a}>0\), then (1.10) and (3.1) lead to

$$\begin{aligned}& P_{2}(a,b)=\sqrt{ab} \biggl(\frac{\sinh(2t)}{\arcsin(\tanh (2t))} \biggr)^{1/2}, \end{aligned}$$
(3.6)
$$\begin{aligned}& \log\frac{P_{2}(a,b)}{U(a,b)}=\log \bigl(\arctan \bigl(\sqrt {2}\sinh(t) \bigr) \bigr) \\& \hphantom{\log\frac{P_{2}(a,b)}{U(a,b)}={}}{}- \frac{1}{2}\log\bigl(\arcsin\bigl(\tanh (2t)\bigr)\bigr)-\frac{1}{2} \log\bigl(\tanh(t)\bigr). \end{aligned}$$
(3.7)

Let

$$ h(t)=\log \bigl(\arctan \bigl(\sqrt{2}\sinh(t) \bigr) \bigr)- \frac{1}{2}\log\bigl(\arcsin\bigl(\tanh(2t)\bigr)\bigr)-\frac{1}{2} \log\bigl(\tanh(t)\bigr). $$
(3.8)

Then simple computations lead to

$$\begin{aligned}& h\bigl(0^{+}\bigr)=0,\qquad \lim_{t\rightarrow\infty}h(t)= \frac{1}{2}(\log\pi -\log2), \end{aligned}$$
(3.9)
$$\begin{aligned}& h^{\prime}(t)=\frac{\sqrt{2}\cosh(t)}{\cosh(2t)\arctan (\sqrt{2}\sinh(t) )}-\frac{1}{\cosh(2t)\arcsin(\tanh (2t))}-\frac{1}{\sinh(2t)} \\& \hphantom{h^{\prime}(t)}=\frac{\sinh(2t)+\cosh(2t)\arcsin(\tanh(2t))}{\sinh(2t)\cosh (2t)\arcsin(\tanh(2t))\arctan (\sqrt{2}\sinh(t) )} \\& \hphantom{h^{\prime}(t)={}}{}\times \biggl[\frac{\sqrt{2}\sinh(2t)\cosh(t)\arcsin(\tanh (2t))}{\sinh(2t)+\cosh(2t)\arcsin(\tanh(2t))}-\arctan \bigl(\sqrt {2} \sinh(t) \bigr) \biggr]. \end{aligned}$$
(3.10)

It follows from Lemma 2.5 and (3.10) that \(h(t)\) is strictly increasing on \((0, \infty)\). Therefore, Theorem 3.2 follows easily from (3.7)-(3.9) and the monotonicity of \(h(t)\). □

Remark 3.1

Let \(b>a>0\) and \(t=\log\sqrt{b/a}>0\). Then

$$ A(a,b)=\sqrt{ab}\cosh(t), \qquad Q(a,b)=\sqrt{ab} \cosh^{1/2}(2t). $$
(3.11)

It follows from Lemma 2.5 that

$$ \frac{\sqrt{2}\sinh(t)}{\arctan (\sqrt{2}\sinh(t) )}>\frac{\frac{\sinh(2t)}{\arcsin(\tanh(2t))}+\cosh(2t)}{2\cosh^{2}(t)}. $$
(3.12)

Equations (3.1), (3.6), and (3.11) together with inequality (3.12) lead to the conclusion that the inequality

$$ U(a,b)>\frac{P^{2}_{2}(a,b)+Q^{2}(a,b)}{2A^{2}(a,b)}G(a,b) $$

holds for all \(a, b>0\) with \(a\neq b\).

Theorem 3.3

The double inequality

$$ \lambda_{3}P_{2}(a,b)< NS(a,b) (a,b)< \mu_{3}P_{2}(a,b) $$

holds for all \(a, b>0\) with \(a\neq b\) if and only if \(\lambda_{3}\leq 1\) and \(\mu_{3}\geq\sqrt{\pi}/[2\log(1+\log2)]=1.0055\ldots\) .

Proof

Since \(NS(a,b)\) and \(P_{2}(a,b)\) are symmetric and homogeneous of degree 1, without loss of generality, we assume that \(b>a>0\). Let \(t=\log\sqrt{b/a}>0\), then (1.2) and (3.6) lead to

$$\begin{aligned}& NS(a,b)=\sqrt{ab}\frac{\sinh(t)}{\sinh^{-1}(\tanh(t))}, \end{aligned}$$
(3.13)
$$\begin{aligned}& \log\frac{NS(a,b)}{P_{2}(a,b)}=\frac{1}{2}\log\bigl(\tanh(t)\bigr)-\log \bigl( \sinh^{-1}\bigl(\tanh(t)\bigr)\bigr) \\& \hphantom{\log\frac{NS(a,b)}{P_{2}(a,b)}={}}{}+\frac{1}{2}\log\bigl(\arcsin \bigl(\tanh(2t)\bigr)\bigr)-\frac {1}{2}\log2. \end{aligned}$$
(3.14)

Let

$$\begin{aligned} h_{2}(t) =&\frac{1}{2}\log\bigl(\tanh(t)\bigr)-\log \bigl(\sinh^{-1}\bigl(\tanh (t)\bigr)\bigr) \\ &{}+\frac{1}{2}\log\bigl( \arcsin\bigl(\tanh(2t)\bigr)\bigr)-\frac{1}{2}\log2. \end{aligned}$$
(3.15)

Then simple computations lead to

$$\begin{aligned}& h_{2}\bigl(0^{+}\bigr)=0, \qquad \lim _{t\rightarrow\infty}h_{2}(t)=\log \biggl(\frac{\sqrt{\pi}}{2\log(1+\sqrt{2})} \biggr), \end{aligned}$$
(3.16)
$$\begin{aligned}& h^{\prime}_{2}(t)=\frac{1}{\sinh(2t)}-\frac{1}{\cosh(t)\sqrt {\cosh(2t)}\sinh^{-1}(\tanh(t))}+ \frac{1}{\cosh(2t)\arcsin(\tanh(2t))} \\& \hphantom{h^{\prime}_{2}(t)}=\frac{\sinh(2t)\cosh(t)+\cosh(t)\cosh(2t)\arcsin(\tanh (2t))}{\sinh(2t)\cosh(2t)\cosh(t)\sinh^{-1}(\tanh(t))\arcsin (\tanh(2t))}h_{3}(t), \end{aligned}$$
(3.17)

where

$$\begin{aligned}& h_{3}(t)=\sinh^{-1}\bigl(\tanh(t)\bigr)- \frac{2\sqrt{\cosh(2t)}\sinh (t)\arcsin(\tanh(2t))}{\sinh(2t)+\cosh(2t)\arcsin(\tanh(2t))}, \end{aligned}$$
(3.18)
$$\begin{aligned}& h_{3}\bigl(0^{+}\bigr)=0, \end{aligned}$$
(3.19)
$$\begin{aligned}& h^{\prime}_{3}(t)=\frac{\sqrt{\cosh(2t)}[\arcsin(\tanh(2t))-\tanh (2t)][\sinh(2t)-\arcsin(\tanh(2t))]}{ \cosh(t)[\sinh(2t)+\cosh(2t)\arcsin(\tanh(2t))]^{2}}. \end{aligned}$$
(3.20)

Let \(x=\arcsin(\tanh(2t))\in(0, \pi/2)\). Then

$$\begin{aligned}& \arcsin\bigl(\tanh(2t)\bigr)-\tanh(2t)=x-\sin x>0, \end{aligned}$$
(3.21)
$$\begin{aligned}& \sinh(2t)-\arcsin\bigl(\tanh(2t)\bigr)=\tan x-x>0. \end{aligned}$$
(3.22)

From (3.17)-(3.22) we clearly see that \(h_{2}(t)\) is strictly increasing on \((0, \infty)\). Therefore, Theorem 3.3 follows from (3.14)-(3.16) and the monotonicity of \(h_{2}(t)\). □

Remark 3.2

From the proof of Theorem 3.2 we know that

$$ h_{3}(t)=\sinh^{-1}\bigl(\tanh(t)\bigr)- \frac{2\sqrt{\cosh(2t)}\sinh (t)\arcsin(\tanh(2t))}{\sinh(2t)+\cosh(2t)\arcsin(\tanh(2t))}>0, $$

which is equivalent to

$$ \frac{\frac{\sinh(2t)}{\arcsin(\tanh(2t))}+\cosh(2t)}{2\sqrt {\cosh(2t)}}>\frac{\sinh(t)}{\sinh^{-1}(\tanh(t))}. $$
(3.23)

Equations (3.6), (3.11), and (3.13) together with inequality (3.23) lead to the conclusion that the inequality

$$ NS(a,b)< \frac{P^{2}_{2}(a,b)+Q^{2}(a,b)}{2Q(a,b)} $$

holds for all \(a, b>0\) with \(a\neq b\).

Theorem 3.4

The double inequality

$$ \lambda_{4}NS(a,b)< B(a,b)< \mu_{4}NS(a,b) $$

holds for all \(a, b>0\) with \(a\neq b\) if and only if \(\lambda_{4}\leq 1\) and \(\mu_{4}\geq\sqrt{2}e^{\pi/4-1}\log(1+\sqrt {2})=1.0057\ldots\) .

Proof

Since \(NS(a,b)\) and \(B(a,b)\) are symmetric and homogeneous of degree 1, without loss of generality, we assume that \(b>a>0\). Let \(t=\log\sqrt{b/a}>0\), then (1.3) and (3.13) lead to

$$ \begin{aligned} &B(a,b)=\sqrt{ab}\cosh^{1/2}(2t)e^{\arctan(\tanh(t))/\tanh(t)-1}, \\ &\log\frac{B(a,b)}{NS(a,b)}=\frac{1}{2}\log\bigl(\cosh(2t)\bigr)+ \frac {\arctan(\tanh(t))}{\tanh(t)}-\log \biggl(\frac{\sinh(t)}{\sinh ^{-1}(\tanh(t))} \biggr)-1. \end{aligned} $$
(3.24)

Let

$$ f(t)=\frac{1}{2}\log\bigl(\cosh(2t)\bigr)+ \frac{\arctan(\tanh(t))}{\tanh (t)}-\log \biggl(\frac{\sinh(t)}{\sinh^{-1}(\tanh(t))} \biggr)-1. $$
(3.25)

Then simple computations lead to

$$\begin{aligned}& f\bigl(0^{+}\bigr)=0, \qquad \lim_{t\rightarrow\infty}f(t)= \frac{\pi}{4}-1+\frac {1}{2}\log2+\log\bigl[\log(1+\sqrt{2}) \bigr], \end{aligned}$$
(3.26)
$$\begin{aligned}& f^{\prime}(t)=\frac{f_{1}(t)}{\sinh^{2}(t)\sinh^{-1}(\tanh(t))}, \end{aligned}$$
(3.27)

where

$$ f_{1}(t)=\frac{\sinh^{2}(t)}{\sqrt{\cosh(2t)}\cosh(t)}-\sinh ^{-1}\bigl(\tanh(t)\bigr) \arctan\bigl(\tanh(t)\bigr). $$

Let \(x=\tanh(t)\in(0, 1)\). Then

$$\begin{aligned}& f_{1}(t)=\frac{x^{2}}{\sqrt{1+x^{2}}}-\sinh^{-1}(x) \arctan(x):=f_{2}(x), \end{aligned}$$
(3.28)
$$\begin{aligned}& f_{2}\bigl(0^{+}\bigr)=0, \end{aligned}$$
(3.29)
$$\begin{aligned}& f^{\prime}_{2}(x)=\frac{1}{\sqrt{x^{2}+1}} \biggl[x\frac {x^{2}+2}{x^{2}+1}- \frac{\sinh^{-1}(x)}{\sqrt{x^{2}+1}}-\arctan (x) \biggr] :=\frac{f_{3}(x)}{\sqrt{x^{2}+1}}, \end{aligned}$$
(3.30)
$$\begin{aligned}& f_{3}\bigl(0^{+}\bigr)=0, \end{aligned}$$
(3.31)
$$\begin{aligned}& f^{\prime}_{3}(x)=\frac{x}{(x^{2}+1)^{3/2}} \biggl[\sinh ^{-1}(x)-\frac{x-x^{3}}{\sqrt{x^{2}+1}} \biggr]:=\frac {x}{(x^{2}+1)^{3/2}}f_{4}(x), \end{aligned}$$
(3.32)
$$\begin{aligned}& f_{4}\bigl(0^{+}\bigr)=0, \end{aligned}$$
(3.33)
$$\begin{aligned}& f^{\prime}_{4}(x)=\frac{2x^{2}(x^{2}+2)}{(x^{2}+1)^{3/2}}>0 \end{aligned}$$
(3.34)

for \(x\in(0, 1)\).

It follows from (3.27)-(3.34) that \(f(t)\) is strictly increasing on \((0, \infty)\). Therefore, Theorem 3.4 follows easily from (3.24)-(3.26) and the monotonicity of \(f(t)\). □

Remark 3.3

From the proof of Theorem 3.4 we know that the inequalities

$$\begin{aligned}& \frac{x^{2}}{\sqrt{1+x^{2}}}>\sinh^{-1}(x)\arctan(x), \end{aligned}$$
(3.35)
$$\begin{aligned}& x\frac{x^{2}+2}{x^{2}+1}>\frac{\sinh^{-1}(x)}{\sqrt {x^{2}+1}}+\arctan(x), \end{aligned}$$
(3.36)
$$\begin{aligned}& \sinh^{-1}(x)>\frac{x-x^{3}}{\sqrt{x^{2}+1}} \end{aligned}$$
(3.37)

hold for all \(x\in(0, \infty)\). Inequalities (3.35)-(3.37) lead to the conclusion that the inequalities

$$\begin{aligned}& NS(a,b)T(a,b)>A(a,b)Q(a,b), \\& \frac{A^{2}(a,b)}{G^{2}(a,b)}>\frac {NS(a,b)}{Q(a,b)}, \\& \frac{A(a,b)}{Q(a,b)}+\frac{Q(a,b)}{A(a,b)}>\frac {A(a,b)}{NS(a,b)}+\frac{Q(a,b)}{T(a,b)} \end{aligned}$$

hold for all \(a, b>0\) with \(a\neq b\).

Remark 3.4

Let \(I(a,b)=(b^{b}/a^{a})^{1/(b-a)}/e\) be the identric mean of two distinct positive real numbers a and b, and \(I_{2}(a,b)=I^{1/2} (a^{2}, b^{2} )\) be the second-order identric mean. Then from Theorems 3.1-3.4 and the inequalities \(M(a,b;2/3)< I(a,b)< M(a, b; \log2)\) [20, 21] and \(P_{2}(a,b)>L_{4}(a,b)\) [22] we get two inequalities chains as follows:

$$\begin{aligned} \frac{999}{1\text{,}000}L_{4}(a,b) < &U(a,b)< P_{2}(a,b)< NS(a,b) \\ < &B(a,b)< M(a, b; 4/3)< I_{2}(a,b) \\ < &M(a, b; 2\log2) \end{aligned}$$

and

$$\begin{aligned} L_{4}(a,b) < &P_{2}(a,b)< NS(a,b)< B(a,b) \\ < &M(a, b; 4/3)< I_{2}(a,b) \\ < &M(a, b; 2\log2) \end{aligned}$$

for all \(a, b>0\) with \(a\neq b\).

References

  1. Bullen, PS, Mitrinović, DS, Vasić, PM: Means and Their Inequalities. Reidel, Dordrecht (1988)

    Book  MATH  Google Scholar 

  2. Seiffert, H-J: Problem 887. Nieuw Arch. Wiskd. (4) 11(2), 176 (1993)

    Google Scholar 

  3. Yang, Z-H: Three families of two-parameter means constructed by trigonometric functions. J. Inequal. Appl. 2013, 541 (2013)

    Article  Google Scholar 

  4. Neuman, E, Sándor, J: On the Schwab-Borchardt mean. Math. Pannon. 14(2), 253-266 (2003)

    MATH  MathSciNet  Google Scholar 

  5. Neuman, E, Sándor, J: On the Schwab-Borchardt mean II. Math. Pannon. 17(1), 49-59 (2006)

    MATH  MathSciNet  Google Scholar 

  6. Seiffert, H-J: Aufgabe β16. Wurzel 29, 221-222 (1995)

    Google Scholar 

  7. Yang, Z-H, Jiang, Y-L, Song, Y-Q, Chu, Y-M: Sharp inequalities for trigonometric functions. Abstr. Appl. Anal. 2014, Article ID 601839 (2014)

    MathSciNet  Google Scholar 

  8. Radó, T: On convex functions. Trans. Am. Math. Soc. 37(2), 266-285 (1935)

    Article  Google Scholar 

  9. Lin, TP: The power mean and the logarithmic mean. Am. Math. Mon. 81, 879-883 (1974)

    Article  MATH  Google Scholar 

  10. Jagers, AA: Solution of problem 887. Nieuw Arch. Wiskd. (4) 12(2), 230-231 (1994)

    Google Scholar 

  11. Hästö, PA: A monotonicity property of ratios of symmetric homogeneous means. JIPAM. J. Inequal. Pure Appl. Math. 3(5), Article 71 (2002)

    MathSciNet  Google Scholar 

  12. Hästö, PA: Optimal inequalities between Seiffert’s mean and power means. Math. Inequal. Appl. 7(1), 47-53 (2004)

    MATH  MathSciNet  Google Scholar 

  13. Costin, I, Toader, G: Optimal evaluations of some Seiffert-type means by power means. Appl. Math. Comput. 219(9), 4745-4754 (2013)

    Article  MathSciNet  Google Scholar 

  14. Yang, Z-H: Sharp power means bounds for Neuman-Sándor mean. arXiv:1208.0895 [math.CA]

  15. Yang, Z-H: Estimates for Neuman-Sándor mean by power means and their relative errors. J. Math. Inequal. 7(4), 711-726 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  16. Chu, Y-M, Long, B-Y: Bounds of the Neuman-Sándor mean using power and identric means. Abstr. Appl. Anal. 2013, Article ID 832591 (2013)

    MathSciNet  Google Scholar 

  17. Yang, Z-H, Wu, L-M, Chu, Y-M: Optimal power mean bounds for Yang mean. J. Inequal. Appl. 2014, 401 (2014)

    Article  MathSciNet  Google Scholar 

  18. Yang, Z-H, Chu, Y-M: Optimal evaluations for the Sándor-Yang mean by power mean. arXiv:1506.07777 [math.CA]

  19. Yang, Z-H, Chu, Y-M, Tao, X-J: A double inequality for the trigamma function and its applications. Abstr. Appl. Anal. 2014, Article ID 702718 (2014)

    MathSciNet  Google Scholar 

  20. Stolarsky, KB: The power and generalized logarithmic means. Am. Math. Mon. 87(7), 545-548 (1980)

    Article  MATH  MathSciNet  Google Scholar 

  21. Pittenger, AO: Inequalities between arithmetic and logarithmic means. Publ. Elektroteh. Fak. Univ. Beogr., Ser. Mat. Fiz. 678-715, 15-18 (1980)

    MathSciNet  Google Scholar 

  22. Yang, Z-H, Chu, Y-M: An optimal inequalities chain for bivariate means. J. Math. Inequal. 9(2), 331-343 (2015)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The research was supported by the Natural Science Foundation of China under Grants 61374086 and 11171307, and the Natural Science Foundation of Zhejiang Province under Grant LY13A010004.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Ming Chu.

Additional information

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.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, ZH., Chu, YM. Inequalities for certain means in two arguments. J Inequal Appl 2015, 299 (2015). https://doi.org/10.1186/s13660-015-0828-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13660-015-0828-8

MSC

Keywords