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\noindent\parbox{2.95cm}{\includegraphics*[keepaspectratio=true,scale=0.125]{AFA.jpg}}
\noindent\parbox{4.85in}{\hspace{0.1mm}\\[1.5cm]\noindent
\qquad Ann. Funct. Anal. 2 (2011), no. 2, 22--33\\
{\footnotesize
\qquad \textsc{\textbf{$\mathscr{A}$}nnals of \textbf{$\mathscr{F}$}unctional
\textbf{$\mathscr{A}$}nalysis}\\
\qquad ISSN: 2008-8752 (electronic)\\
\qquad URL: \textcolor[rgb]{0.00,0.00,0.99}{www.emis.de/journals/AFA/}
}\\[.5in]}

\title[Geometric constants of $\Bbb R^2$]{Some geometric constants of absolute normalized norms on $\Bbb R^2$}

\author[H. Mizuguchi, K.-S. Saito]{Hiroyasu Mizuguchi and Kichi-Suke Saito$^{*}$}

\address{Department of Mathematical Sciences, Graduate School of Science and Technology, Niigata University,
Niigata, 950-2181 Japan.}
\email{\textcolor[rgb]{0.00,0.00,0.84}{mizuguchi@m.sc.niigata-u.ac.jp}}
\email{\textcolor[rgb]{0.00,0.00,0.84}{saito@math.sc.niigata-u.ac.jp}}

\dedicatory{{\rm Communicated by J. I. Fujii}}

\subjclass[2010]{Primary 46B20; Secondary 46B25.}

\keywords{ Zb{\rm \u{a}}ganu constant, absolute norm, von
Neumann-Jordan constant.}

\date{Received: 31 March 2011; Accepted: 14 June 2011.
\newline \indent $^{*}$ Corresponding author}

\begin{abstract} We consider the Banach space $X=(\Bbb R^2, \|\cdot\|)$ with a normalized, absolute norm.
Our aim in this paper is to calculate the modified Neumann-Jordan constant $C'_{NJ}(X)$ and the Zb{\rm \u{a}}ganu constant $C_Z(X)$.
\end{abstract} \maketitle

\section{Introduction and preliminaries}

\noindent
Let $X$ be a Banach space with the unit ball $B_X=\{x\in X: \|x\|\leq 1\}$ and the unit sphere
$S_X=\{x\in X: \|x\| = 1\}$.
Many geometric constants for a Banach space $X$ have been investigated. In this paper we shall consider the following constants;
\[C_{NJ}(X)=\sup \left\{ \frac{\|  x+y\|  ^2+\|  x-y\| ^2}{2(\|  x\| ^2+\|  y\|  ^2)}~\biggl|~ (x,y)\not = (0,0)\biggr. \right\},\]
\[C'_{NJ}(X)=\sup \left\{ \frac{\|  x+y\|  ^2+\|  x-y\| ^2}{4}~\biggl|~ x,y\in S_{X}\biggr. \right\}, \]
\[ C_{Z}(X)=\sup \left\{ \frac{\|  x+y\| \|  x-y\| }{\|  x\| ^2+\|  y\|  ^2}~\biggl|~  x,y \in X,~(x,y)\not = (0,0)\biggr. \right\}. \]
The constant $C_{NJ}(X)$, called the von Neumann-Jordan constant (hereafter referred to as NJ constant) have been considered in many papers (\cite{C,V,MT,T} and so on).
 The constant $C'_{NJ}(X)$, called the modified von Neumann-Jordan constant (shortly, modified NJ constant)  was introduced by Gao in \cite{G} and does not necessarily coincide  with $C_{NJ}(X)$ (cf. \cite{A, G2, GS2}).
 The constant $C_Z(X)$ was introduced by Zb{\rm \u{a}}ganu (\cite{Z}) and was conjectured that
$C_Z(X)$ coincides with the von Neumann-Jordan constant $C_{NJ}(X)$, but Alonso and Martin \cite{J} gave an example that $C_{NJ}(X) \not= C_Z(X)$ (cf.\cite{GS, L}).

A norm $\|\cdot  \|$ on $\mathbb{R}^2$ is said to be absolute if  $\| (a,b) \|=\| (|a|,|b|) \| $ for any $(a,b) \in \mathbb{R}^2$,
and normalized if $ \|(1,0)\|=\|(0,1)\|=1$. Let $AN_2$ denote the family of all absolute normalized norm on $\mathbb{R}^2$, and $\Psi _2$ denote the family of all continuous convex function $\psi$ on $[0,1]$ such that $\psi(0)=\psi(1)=1$
 and $\max\{1-t,t\}\leq\psi(t) \leq 1$ for all $0\leq t\leq 1$. As in \cite{S}, it is well known that $AN_2$ and $\Psi _2$
 are in a one-to-one correspondence under the equation  $\psi(t)=\|(1-t,t)\|$ $(0\leq t\leq 1)$.
  Denote $\| \cdot \|_{\psi}$ be an absolute normalized norm associated with a convex function $\psi \in \Psi _2$.

For $\psi, \varphi \in \Psi _2$, we denote $\psi \leq \varphi$ if $\psi(t) \leq \varphi(t)$ for any t in $[0,1]$.
 Let
\[M_{1}=\max_{0\leq t\leq 1}\frac{\psi(t)}{\psi_{2}(t)} ~~~{\rm and} ~~~M_{2}=\max_{0\leq t\leq 1}\frac{\psi_{2}(t)}{\psi(t)},\]
where $\psi_{2}(t)=\|(1-t,t)\|_{2}=\sqrt{(1-t)^2+t^2}$ corresponds to the $l_2$-norm. In \cite{S}, Saito, Kato and Takahashi proved that, if $\psi \geq \psi_2$
 (resp. $\psi \leq \psi_2$), then $C_{NJ}\left(\mathbb{C}^2,\|\cdot\|_{\psi} \right)=M_1^2$ (resp. $M_2^2$).

We put $X = (\Bbb R^2, \|\cdot\|_{\psi})$ for $\psi \in \Psi_2$.
Our aim in this paper is to consider the conditions of $\psi$ that  $C_{NJ}(X) = C_Z(X)$ or $C_{NJ}(X) = C'_{NJ}(X)$.

 In \S 2, we consider the modified von Neumann-Jordan constant. We prove that if
 $\psi \leq \psi_2$, then
 $C'_{NJ}(X) =C_{NJ}(X) = M_2^2$. If  $\psi \geq \psi_2$, then we present the necessarily and sufficient condition that $C'_{NJ} \left( \mathbb{R}^2, \| \cdot \|_{\psi} \right) =C_{NJ} \left( \mathbb{R}^2, \| \cdot \|_{\psi}  \right) =M_1^2$. Further, we consider the conditions that  $C'_{NJ}(\Bbb R^2, \| \cdot \|_{\psi}) =C_{NJ}(\Bbb R^2, \| \cdot \|_{\psi}) =M_1^2M_2^2$.
 In \S 3, we study the Zb{\rm \u{a}}ganu constant. First, we show that, if
 $\psi \geq \psi_2$, then
 $C_Z \left( \mathbb{R}^2, \| \cdot \|_{\psi}  \right)=C_{NJ} \left( \mathbb{R}^2, \| \cdot \|_{\psi}  \right) = M_1^2$.  If $\psi \leq \psi_2$, then we give the necessarily and sufficient condition for that $C_Z \left( \mathbb{R}^2, \| \cdot \|_{\psi}  \right) =C_{NJ} \left( \mathbb{R}^2, \| \cdot \|_{\psi}  \right) = M_2^2$. Further we study the conditions that $C_Z(\Bbb R^2, \| \cdot \|_{\psi}) =C_{NJ}(\Bbb R^2, \| \cdot \|_{\psi}) =M_1^2M_2^2$.
 In \S 4, we calculate the modified NJ-constant $C'_{NJ}(X)$ and the Zb{\rm \u{a}}ganu constant $C_Z(X)$ for some normed liner spaces.

\section{The modified NJ constant of R$^2$}

In this section, we consider the Banach space $X= ( \mathbb{R}^2, \|
\cdot \|_{\psi}).$ From the definition of the modified NJ constant,
it is clear that $C'_{NJ}(X) \leq C_{NJ}(X)$. In this section, we
consider the condition that $C'_{NJ}(X)=C_{NJ}(X)$.

\begin{proposition}
Let $\psi \in \Psi_2$. If $\psi\leq \psi_{2}$, then $C'_{NJ}(X)=C_{NJ}(X)=M_{2}^2$.
\end{proposition}

\begin{proof}
For any $x,y \in S_X$, by \cite[Lemma 3]{S},
\begin{align*}
\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2
& \leq \|x+y\|_2^2+\|x-y\|_2^2\\
&=2\left( \|x\|_2^2+\|y\|_2^2\right)\\
& \leq 2M_2^2\left( \|x\|_{\psi}^2+\|y\|_{\psi}^2\right)=4M_2^2.
\end{align*}
Now let $\psi_2/\psi$ attain the maximum at $t=t_0$ ($0\leq t_0\leq 1$),
 and put
\[x=\frac{1}{\psi(t_0)}(1-t_0,~t_0),
~y=\frac{1}{\psi(t_0)}(1-t_0,~-t_0).\]
\\
Then $x,y \in S_X$ and
\begin{align*}\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2
&=\frac{4(1-t_0)^2+4t_0^2}{\psi(t_0)^2}\\
&=4\frac{\psi_2(t_0)^2}{\psi(t_0)^2}=4M_2^2,
\end{align*}
which implies that $C'_{NJ}(X)=M_{2}^2$. By \cite[Theorem 1]{S}, we have this proposition.
\end{proof}

 If $\psi\geq  \psi_{2}$, by \cite[Theorem 1]{S}, then $C_{NJ}(X)=M_1^2$. We now give the necessarily and sufficient condition of $C'_{NJ}(X)=M_1^2$.

\begin{theorem}
Let $\psi \in \Psi_2$ such that $\psi\geq \psi_2$. Then
$C'_{NJ}(X)=M_1^2$ if and only if there exist $s,t\in [0,1]~~(s < t)$  satisfying one of the following conditions:

{\rm (1)} $\psi(s)=\psi_2(s)$, $\psi(t)=\psi_2(t)$ and,  if we put $r=\frac{\psi(s)t+\psi(t)s}{\psi(s)+\psi(t)}$, then $\frac{\psi(r)}{\psi_2(r)}=\frac{\psi(1-r)}{\psi_2(1-r)}=M_1$.

{\rm (2)} $\psi(s)=\psi_2(s)$, $\psi(t)=\psi_2(t)$ and, if we put $r = \frac{\psi(t)s+\psi(s)t}{\psi(t)+\psi(s)(2t-1)}$, then $\frac{\psi(r)}{\psi_2(r)}=\frac{\psi(1-r)}{\psi_2(1-r)}=M_1$.
\end{theorem}
\begin{proof}
($\Longrightarrow$) Suppose that $C'_{NJ}(X)=M_1^2$.
First, for any $x,y \in S_X$, by \cite[Lemma 3]{S}, we have
\begin{align*}
\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2
& \leq M_1^2(\|x+y\|_2^2+\|x-y\|_2^2)\\
&=2M_1^2\left( \|x\|_2^2+\|y\|_2^2\right)\\
& \leq 2M_1^2\left( \|x\|_{\psi}^2+\|y\|_{\psi}^2\right)=4M_1^2.
\end{align*}
Since $X=\left( \mathbb{R}^2, \| \cdot \|_{\psi} \right)$ is finite dimensional,
\[C'_{NJ}(X)=\max \left\{ \frac{\|  x+y\|_{\psi}  ^2+\|  x-y\|_{\psi} ^2}{4}~\biggl|~ x,y\in S_{X}\biggr. \right\}. \]
Therefore,  $C'_{NJ}(X)=M_1^2$ if and only if there exist $x,y \in S_X~~(x \neq y)$ such that
\[\|  x+y\|_{\psi}  ^2+\|  x-y\|_{\psi} ^2= 4 M_1^2.\]
From the above inequality, the elements $x,y \in S_X~~(x \neq y)$ satisfy $\|x\|_{\psi}=\|x\|_2=1$, $\|y\|_{\psi}=\|y\|_2=1$ and
\[\frac{\|x+y\|_{\psi}}{\|x+y\|_2}=\frac{\|x-y\|_{\psi}}{\|x-y\|_2}=M_1.\]
Since $\|\cdot\|_{\psi}$ is absolute and $x,y \in S_X~~(x \neq y)$ satisfy $\|x\|_2=\|y\|_2=1$, it is sufficient to consider the following three cases:

(i) There exist $s,t\in [0,1]~~(s\neq t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(1-t,t).$

(ii) There exist $s,t\in [0,1]~~(s < t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(-1+t,t).$

(iii) There exist $s,t\in [0,1]~~(s > t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(-1+t,t).$

\noindent
Case (i). We may suppose that $s<t$. Then there exist $\alpha, \beta \in [0, \frac{\pi}{2}]~~(\alpha < \beta)$ such that
$$x = \frac{1}{\psi_2(s)}(1-s,s) = (\cos \alpha, \sin \alpha),~~~y=\frac{1}{\psi_2(t)}(1-t,t) = (\cos \beta, \sin \beta). $$
Since $\|x\|_2=\|y\|_2=1$, we have
$$x+y = (\frac{1-s}{\psi_2(s)} +\frac{1-t}{\psi_2(t)}, \frac{s}{\psi_2(s)}+\frac{t}{\psi_2(t)})=
||x+y||_2 (\cos \frac{\alpha+\beta}{2}, \sin \frac{\alpha+\beta}{2}).$$
By \cite[Propositions 2a and 2b]{TKS}, we remark that
$$\frac{1-s}{\psi_2(s)} \geq \frac{1-t}{\psi_2(t)},~~~ \frac{s}{\psi_2(s)}\leq\frac{t}{\psi_2(t)}.$$
Since $x-y$ is orthogonal to $x+y$ in the Euclidean space $(\Bbb R^2, \|\cdot\|_2)$, we have
\begin{align*}
x-y &= (\frac{1-s}{\psi_2(s)}-\frac{1-t}{\psi_2(t)}, \frac{s}{\psi_2(s)}-\frac{t}{\psi_2(t)})\\
&= ||x-y||_2 (\cos \frac{\alpha+\beta -\pi}{2}, \sin \frac{\alpha+\beta -\pi}{2}) \\
    &= ||x-y||_2 (\sin \frac{\alpha+\beta}{2}, -\cos \frac{\alpha+\beta}{2}).
\end{align*}
Thus we have
\begin{align*}
 ||x+y||_{\psi}
&=  ||x+y||_2 ||(\cos \frac{\alpha+\beta}{2}, \sin \frac{\alpha+\beta}{2})||_{\psi} \\
&= ||x+y||_2 ( \cos \frac{\alpha+\beta}{2}+ \sin \frac{\alpha+\beta}{2})\psi(\frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).
\end{align*}
Since $||x+y||_{\psi} =M_1 ||x+y||_2$, we have
$$ M_1 = (\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}) \psi(\frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).$$
Putting $r = \frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}$, then it is clear that $r= \frac{\psi(s)t+\psi(t)s}{\psi(s)+\psi(t)}$ and $M_1 = \frac{\psi(r)}{\psi_2(r)}$.
We also have
$$ ||x-y||_{\psi}
= ||x-y||_2 ( \sin \frac{\alpha+\beta}{2}+ \cos \frac{\alpha+\beta}{2})\psi(\frac{\cos \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).$$
Since $||x-y||_{\psi} =M_1 ||x-y||_2$, we similarly have
$$M_1 = (\sin \frac{\alpha+\beta}{2} +\cos \frac{\alpha+\beta}{2}) \psi(\frac{\cos \frac{\alpha+\beta}{2}}{\sin \frac{\alpha+\beta}{2} +\cos \frac{\alpha+\beta}{2}}) = \frac{\psi(1-r)}{\psi_2(1-r)}.$$

\noindent
Case (ii). Then there exist $\alpha \in [0, \frac{\pi}{2}]$ and $\beta \in [\frac{\pi}{2}, \pi]$
such that
$$x = \frac{1}{\psi_2(s)}(1-s,s) = (\cos \alpha, \sin \alpha),~~~y=\frac{1}{\psi_2(t)}(-1+t,t) = (\cos \beta, \sin \beta). $$
Since $\|x\|_2=\|y\|_2=1$, we have
$$x+y = (\frac{1-s}{\psi_2(s)} -\frac{1-t}{\psi_2(t)}, \frac{s}{\psi_2(s)}+\frac{t}{\psi_2(t)})=
||x+y||_2 (\cos \frac{\alpha+\beta}{2}, \sin \frac{\alpha+\beta}{2}).$$
By \cite[Propositions 2a and 2b]{TKS}, we remark that
$$\frac{1-s}{\psi_2(s)} \geq \frac{1-t}{\psi_2(t)},~~~ \frac{s}{\psi_2(s)}\leq\frac{t}{\psi_2(t)}.$$
Since $x-y$ is orthogonal to $x+y$ in the Euclidean space $(\Bbb R^2, \|\cdot\|_2)$, we have
\begin{align*}
x-y &= (\frac{1-s}{\psi_2(s)}+\frac{1-t}{\psi_2(t)}, \frac{s}{\psi_2(s)}-\frac{t}{\psi_2(t)})\\
&= ||x-y||_2 (\cos \frac{\alpha+\beta -\pi}{2}, \sin \frac{\alpha+\beta -\pi}{2}) \\
    &= ||x-y||_2 (\sin \frac{\alpha+\beta}{2}, -\cos \frac{\alpha+\beta}{2}).
\end{align*}
Since $\cos \frac{\alpha+\beta}{2} \geq 0$ and $\sin \frac{\alpha+\beta}{2} \geq 0$,
 we have
\begin{align*}
 ||x+y||_{\psi}
&=  ||x+y||_2 ||(\cos \frac{\alpha+\beta}{2}, \sin \frac{\alpha+\beta}{2})||_{\psi} \\
&= ||x+y||_2 ( \cos \frac{\alpha+\beta}{2}+ \sin \frac{\alpha+\beta}{2})\psi(\frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).
\end{align*}
Since $||x+y||_{\psi} =M_1 ||x+y||_2$, we have
$$ M_1 = (\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}) \psi(\frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).$$
Putting $r = \frac{\sin \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}$, then it is clear that $r= \frac{\psi(t)s+\psi(s)t}{\psi(t)+\psi(s)(2t-1)}$ and $M_1 = \frac{\psi(r)}{\psi_2(r)}$.
We also have
$$ ||x-y||_{\psi}
= ||x-y||_2 ( \sin \frac{\alpha+\beta}{2}+ \cos \frac{\alpha+\beta}{2})\psi(\frac{\cos \frac{\alpha+\beta}{2}}{\cos \frac{\alpha+\beta}{2} +\sin \frac{\alpha+\beta}{2}}).$$
Since $||x-y||_{\psi} =M_1 ||x-y||_2$, we similarly have
$$M_1 = (\sin \frac{\alpha+\beta}{2} +\cos \frac{\alpha+\beta}{2}) \psi(\frac{\cos \frac{\alpha+\beta}{2}}{\sin \frac{\alpha+\beta}{2} +\cos \frac{\alpha+\beta}{2}}) = \frac{\psi(1-r)}{\psi_2(1-r)}.$$

\noindent
Case (iii). There exist $s,t\in [0,1]~~(s > t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(-1+t,t).$
Then, we put $s_0 = t$ and $t_0 =s$. We define $x_0,~~y_0$ in $S_X$ by
$$ x_0 = \frac{1}{\psi(s_0)}(1-s_0,s_0), ~~~y_0 = \frac{1}{\psi(t_0)}(-1+t_0,t_0).  $$
Then we can reduce Case (ii).

\noindent
($\Longleftarrow$). If we suppose  (1) (resp. (2)), then we put $x=\frac{1}{\psi_2(s)}(1-s,s)$
(resp. $x=\frac{1}{\psi_2(s)}(1-s,s)$) and $y=\frac{1}{\psi_2(t)}(1-t,t)$ (resp.  $y=\frac{1}{\psi_2(t)}(-1+t,t)$).
Then we have $||x||_{\psi} = ||x||_2 =1$, $||y||_{\psi} = ||y||_2 =1$, $||x+y||_{\psi} = M_1||x+y||_2$ and $||x-y||_{\psi} = M_1||x-y||_2$.
Hence it is clear to prove that $C'_{NJ}(X) = M_1^2$.
This completes the proof.
\end{proof}

We next study the modified NJ constant in the general case. If $\psi \in \Psi$, then by
\cite[Therem 3]{S}, we have
$$\max\{M_1^2, M_2^2\} \leq C_{NJ}(X) \leq M_1^2M_2^2.$$
However, by Theorem 2.2, there exist many $\psi \in \Psi$ satisfying $\psi \geq \psi_2$ such that
$$C'_{NJ}(X) < \max\{M_1^2, M_2^2\} = C_{NJ}(X).$$
From \cite[Theorem 3]{S}, $C_{NJ}(X)=M_1^2M_2^2$ if either
$\psi/\psi_2$ or $\psi_2/\psi$ attains a maximum at $t=1/2$. Then,
we have the following

\begin{proposition}
Let $\psi \in \Psi_2$ and let $\psi(t)=\psi(1-t)$ for all $t\in[0,1]$.
If $\psi/\psi_2$ attains a maximum at  $t=1/2$,  then $C'_{NJ}(X)=C_{NJ}(X)=M_1^2M_2^2.$
\end{proposition}

\begin{proof} Suppose first $M_1 = \psi(1/2)/\psi_2(1/2)$.
Take an arbitrary $t\in[0,1]$ and put
\[x=\frac{1}{\psi(t)}(t,1-t)~,~y=\frac{1}{\psi(t)}(1-t,t).\]
Then $x,y\in S_X$ and
\[\|x+y\|_{\psi}=\frac{2}{\psi(t)}\psi(\frac{1}{2})
~,~\|x-y\|_{\psi}=\frac{2|2t-1|}{\psi(t)}\psi(\frac{1}{2}).\]
Therefore we have
\begin{align*}
\frac{\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2}{4}
&=\left\{(2t-1)^2+1\right\}\frac{\psi(1/2)^2}{\psi(t)^2}\\
&=2\psi_{2}(t)^2\frac{\psi(1/2)^2}{\psi(t)^2}\\
&=\frac{\psi_{2}(t)^2}{\psi(t)^2} \frac{\psi(1/2)^2}{\psi_{2}(1/2)^2}
=M_1^2 \frac{\psi_{2}(t)^2}{\psi(t)^2}.
\end{align*}
Since $t$ is arbitrary, we have $C'_{NJ}(X)\geq M_1^2M_2^2$
 which prove that $C'_{NJ}(X) = M_1^2M_2^2$.
\end{proof}


In the case that $M_2= \psi_2(1/2)/\psi(1/2)$, $C'_{NJ}(X)$ does not necessarily coincide with
  $M_1^2M_2^2$.
However, we have the following

\begin{theorem}
Let $\psi \in \Psi_2$ and let $\psi (t)=\psi (1-t)$ for all $t\in[0,1]$.
 Assume that $M_2= \psi_2(1/2)/\psi(1/2)$ and $M_1 >1$. Then
$C'_{NJ}(X)=M_1^2M_2^2$ if and only if
there exist $s,t\in [0,1]~~(s < t)$  satisfying one of the following conditions:

{\rm (1)} $\psi_2(s)=M_2\psi(s)$, $\psi_2(t)=M_2\psi(t)$ and,  if we put $r=\frac{\psi(s)t+\psi(t)s}{\psi(s)+\psi(t)}$, then $\psi(r)=M_1\psi_2(r)$.

{\rm (2)} $\psi_2(s)=M_2\psi(s)$, $\psi_2(t)=M_2\psi(t)$ and, if we put $r = \frac{\psi(t)s+\psi(s)t}{\psi(t)+\psi(s)(2t-1)}$, then $\psi(r)=M_1\psi_2(r)$.
\end{theorem}
\begin{proof}
($\Longrightarrow$). For all $x,y \in S_X$, we have
\begin{align*}
\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2&\leq M_1^2\left(\|x+y\|_2^2+\|x-y\|_2^2 \right)\\
&=2M_1^2\left(\|x\|_2^2+\|y\|_2^2 \right)\\
&\leq 2M_1^2M_2^2\left(\|x\|_{\psi}^2+\|y\|_{\psi}^2 \right)
=4M_1^2M_2^2. \end{align*} From this inequality,
$C'_{NJ}(X)=M_{1}^2M_2^2~$ if and only if there exist $x,y \in
S_X~~(x \neq y)$ such that
\[\|  x+y\|_{\psi}  ^2+\|  x-y\|_{\psi} ^2= 4 M_1^2M_2^2.\]
Suppose that $C'_{NJ}(X)=M_1^2M_2^2$. Then, the elements $x,y \in S_X~~(x \neq y)$ satisfy
\[ \|x\|_2=\|y\|_2=M_2,~\|x+y\|_{\psi}=M_1\|x+y\|_2,~\|x-y\|_{\psi}=M_1\|x-y\|_2 . \]
Since $\|\cdot\|_{\psi}$ is absolute, it is sufficient to consider the following three cases:

(i) There exist $s,t\in [0,1]~~(s\neq t)$ satisfying $x=\frac{1}{\psi(s)}(1-s,s)$ and $y=\frac{1}{\psi(t)}(1-t,t).$

(ii) There exist $s,t\in [0,1]~~(s < t)$ satisfying $x=\frac{1}{\psi(s)}(1-s,s)$ and $y=\frac{1}{\psi(t)}(-1+t,t).$

(iii) There exist $s,t\in [0,1]~~(s > t)$ satisfying $x=\frac{1}{\psi(s)}(1-s,s)$ and $y=\frac{1}{\psi(t)}(-1+t,t).$

As in the proof of Theorem 2.2, we can prove this theorem. This completes the proof.
\end{proof}
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\section {The Zb\u{a}ganu constant of $\Bbb R^2$ }
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
The Zb{\rm \u{a}}ganu constant $C_Z(X)$ in \cite{Z} is defined by
\[C_Z(X)=\sup \left\{ \frac{\|  x+y\| \|  x-y\| }{\|  x\| ^2+\|  y\|  ^2}~\biggl|~  x,y \in X,~(x,y)\not = (0,0)\biggr. \right\} .\]
Then it is clear that $C_Z(X) \leq C_{NJ}(X)$ for any Banach space $X$. In this section, we consider the condition that $C_Z(X)=C_{NJ}(X)$
 for $X=\left( \mathbb{R}^2, \| \cdot \|_{\psi} \right)$.
Then, we have the following

\begin{proposition}
Let $\psi \in \Psi_2$. If  $\psi\geq \psi_{2}$, then $C_Z(X)= C_{NJ}(X) = M_{1}^2$.
\end{proposition}

\begin{proof}
For any $x,y \in X$,
\begin{align*}
2\|x+y\|_{\psi}\|x-y\|_{\psi}&\leq \|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2\\
&\leq  M_1^2\left( \|x+y\|_2^2+\|x-y\|_2^2 \right)\\
&=2M_1^2\left( \|x\|_2^2+\|y\|_2^2 \right)\\
&\leq 2M_1^2\left( \|x\|_{\psi}^2+\|y\|_{\psi}^2 \right).
\end{align*}
Since $\psi/\psi_2$ attains the maximum at $t=t_0$ ($0\leq t_0\leq 1$), we
put $x=(1-t_0,0)$ and $y=(0,t_0)$, respectively. Then we have
\begin{align*}
\| x+y \|_{\psi}^2+\| x-y \|_{\psi}^2
&= 2\psi(t_0)^2\\
&= 2M_1^2\psi_2(t_0)^2\\
&= 2M_1^2 \left(\|x\|_{\psi}^2+\|y\|_{\psi}^2 \right).
\end{align*}
Since $\|x+y\|_{\psi}=\psi(t_0)=\|x-y\|_{\psi}$,
we have
\begin{align*}
2\|x+y\|_{\psi}\|x-y\|_{\psi}
&=\|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2\\
&=2M_1^2\left (\|x\|_{\psi}^2+\|y\|_{\psi}^2 \right).
\end{align*}
Therefore we have
\[\frac{\|x+y\|_{\psi}\|x-y\|_{\psi}}{\|x\|_{\psi}^2+\|y\|_{\psi}^2}=M_1^2,\]
which implies that $C_Z(X)=M_1^2$.
\end{proof}

We next consider the case that $\psi \leq \psi_2$. We remark that the Zb{\rm \u{a}}ganu constant  $C_Z(X)$ is in the following form;
\[C_{Z}(X)
=\sup \left\{ \frac{4\| x\| \| y\| }{\|x+y\| ^2+\| x-y\|  ^2}~\biggl|~  x,y \in X,~(x,y)\not = (0,0)\biggr. \right\}.\]
Then we have the following

\begin{theorem}Let $\psi \in \Psi_2$. Assume that $\psi\leq \psi_2$. Then
$C_Z(X)=M_2^2$ if and only if there exist $s,t\in [0,1]~~(s < t)$  satisfying one of the following conditions:

{\rm (1)} $\psi(s)=\psi_2(s)$, $\psi(t)=\psi_2(t)$ and,  if we put $r=\frac{\psi(s)t+\psi(t)s}{\psi(s)+\psi(t)}$, then $\frac{\psi_2(r)}{\psi(r)}=\frac{\psi(1-r)}{\psi_2(1-r)}=M_2$.

{\rm (2)} $\psi(s)=\psi_2(s)$, $\psi(t)=\psi_2(t)$ and, if we put $r = \frac{\psi(t)s+\psi(s)t}{\psi(t)+\psi(s)(2t-1)}$, then $\frac{\psi_2(r)}{\psi(r)}=\frac{\psi(1-r)}{\psi_2(1-r)}=M_2$.
\end{theorem}

\begin{proof}
For any $x,y \in X$,
\begin{align*}
4\|x\|_{\psi}\|y\|_{\psi}&\leq 2\left(\|x\|_{\psi}^2+\|y\|_{\psi}^2\right)\\
&\leq 2\left( \|x\|_2^2+\|y\|_2^2 \right)\\
&= \|x+y\|_2^2+\|x-y\|_2^2 \\
&\leq M_2^2\left( \|x+y\|_{\psi}^2+\|x-y\|_{\psi}^2 \right).
\end{align*}
Since $X=\left( \mathbb{R}^2, \| \cdot \|_{\psi} \right)$ is finite dimensional,
\[C_{Z}(X)
=\max \left\{ \frac{4\| x\|_{\psi} \| y\|_{\psi} }{\|x+y\|_{\psi} ^2+\| x-y\|_{\psi}  ^2}~\biggl|~  x,y \in X,~(x,y)\not = (0,0)\biggr. \right\}.\]
Then $C_Z(X)=M_2^2$ if and only if there exist $x,y \in S_X~~(x \neq y)$ such that
 \[\frac{4\| x\|_{\psi} \| y\|_{\psi} }{\|x+y\|_{\psi} ^2+\|x-y\|_{\psi}  ^2}=M_2^2.\]
From the above inequality,
$\|x\|_2=\|x\|_{\psi}=\|y\|_{\psi}=\|y\|_2$ and
 \[\frac{\|x+y\|_2}{\|x+y\|_{\psi}}=\frac{\|x-y\|_2}{\|x-y\|_{\psi}}=M_2^2.\]
Hence we may assume that
\[\|x\|_2=\|x\|_{\psi}=\|y\|_{\psi}=\|y\|_2=1. \]
As in the proof of Theorem 2.2, it is sufficient to consider the following three cases:

(i) There exist $s,t\in [0,1]~~(s\neq t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(1-t,t).$

(ii) There exist $s,t\in [0,1]~~(s < t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(-1+t,t).$

(iii) There exist $s,t\in [0,1]~~(s > t)$ satisfying $x=\frac{1}{\psi_2(s)}(1-s,s)$ and $y=\frac{1}{\psi_2(t)}(-1+t,t).$

As in the proof of Theorem 2.2, we can similarly prove this theorem.
\end{proof}

We next study the Zb{\rm \u{a}}ganu constant $C_Z(X)$ in general case. If $\psi \in \Psi$,  by
\cite[Theorem 3]{S}, then we have
$$\max\{M_1^2, M_2^2\} \leq C_Z(X) \leq  C_{NJ}(X) \leq   M_1^2M_2^2.$$
However, by Theorem 3.2, there exist many $\psi \in \Psi$ satisfying $\psi \geq \psi_2$ such that
$$C_{Z}(X) <  C_{NJ}(X) \leq \max\{M_1^2, M_2^2\}.$$
From \cite[Theorem 3]{S}, $C_{NJ}(X)=M_1^2M_2^2$ if either
$\psi/\psi_2$ or $\psi_2/\psi$ attains a maximum at $t=1/2$. Then,
we have the following

\begin{proposition}
Let $\psi \in \Psi_2$ and let $\psi(t)=\psi(1-t)$ for all $t\in[0,1]$.
If $M_2= \frac{\psi_2(1/2)}{\psi(1/2)}$, then $C_Z(X)=C_{NJ}(X)=M_1^2M_2^2.$
\end{proposition}

\begin{proof}
From the definition, we have $C_Z(X)\leq C_{NJ}(X) = M_1^2M_2^2$.
Take an arbitrary $t\in[0,1]$ and put $x=(t,1-t)$ and $y=(1-t,t)$.
Then
 $\|x\|_{\psi}=\|y\|_{\psi}=\psi(t)$ and
 $\|x+y\|_{\psi}=\|(1,1)\|_{\psi}=2\psi(1/2)$,
 $\|x-y\|_{\psi}=\|(2t-1,1-2t)\|_{\psi}=2|2t-1|\psi(1/2)$. Hence we have
\begin{align*}
\frac{4\| x\|_{\psi} \| y\|_{\psi} }{\|x+y\|_{\psi} ^2+\| x-y\|_{\psi}  ^2}
&=\frac{2\left(\|x\|_{\psi}^2 +\|y\|_{\psi}^2\right) }{\|x+y\|_{\psi} ^2+\| x-y\|_{\psi}  ^2}\\
&=\frac{\psi(t)^2}{\left(1+(2t-1)^2\right)\psi(1/2)^2}\\
&=\frac{\psi(t)^2}{2\psi_2(t)^2\psi(1/2)^2}\\
&=\frac{\psi(t)^2}{\psi_2(t)^2}\frac{\psi_2(1/2)^2}{\psi(1/2)^2}=M_2^2\frac{\psi(t)^2}{\psi_2(t)^2}
\end{align*}
Since $t$ is arbitrary, we have $C_Z(X)\geq M_1^2M_2^2$. Therefore we have $C_Z(X)= M_1^2M_2^2$. This completes the proof.
\end{proof}

In case that $M_1= \psi(1/2)/\psi_2(1/2)$, we have the following theorem as in the proof of Theorem 2.2 and so omit the proof.

\begin{theorem}
Let $\psi \in \Psi_2$ and let $\psi (t)=\psi (1-t)$ for all $t\in[0,1]$.
If $M_1= \frac{\psi(1/2)}{\psi_2(1/2)}$ and $M_2 > 1$, then
 $C_Z(X)=M_1^2M_2^2$ if and only if there exist $s,t\in [0,1]~~(s < t)$  satisfying one of the following conditions:

{\rm (1)} $\psi_2(s)=M_2\psi(s)$, $\psi_2(t)=M_2\psi(t)$ and,  if we put $r=\frac{\psi(s)t+\psi(t)s}{\psi(s)+\psi(t)}$, then $\psi(r)=M_1\psi_2(r)$.

{\rm (2)} $\psi_2(s)=M_2\psi(s)$, $\psi_2(t)=M_2\psi(t)$ and, if we put $r = \frac{\psi(t)s+\psi(s)t}{\psi(t)+\psi(s)(2t-1)}$, then $\psi(r)=M_1\psi_2(r)$.
\end{theorem}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section {Examples}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
In this section, we calculate $C'_{NJ}(X)$ and $C_Z(X)$ of some Banach spaces $X = (\Bbb R^2,\|\cdot\|_{\psi})$, where $\psi \in \Psi$.
First, we consider the case that $\psi = \psi_{p}$.

\begin{example} Let $1 \leq p \leq \infty$ and $1/p +1/q = 1$. We put
$t=\min (p,q)$. Then $C'_{NJ}(\Bbb R^2, \|\cdot\|_p)= C_Z(\Bbb
R^2,||\cdot||_p)= C_{NJ}(\Bbb R^2, \|\cdot\|_p)= 2^{\frac{2}{t}-1}$.

Suppose that $1 \leq p \leq 2$. Since $\psi_{p} \geq \psi_{2}$,  we have
$C_Z(\Bbb R^2,||\cdot||_p) = 2^{\frac{2}{p}-1}$ by Proposition 3.1. On the other hand, as in Theorem 2.2, we take $s=0$ and $t=1$. Since $r = \frac{\psi(0)\cdot 1+\psi(1) \cdot 0}{\psi(0)+\psi(1)}=\frac{1}{2}$ and $M_1 = \psi_p(1/2)/\psi_2(1/2) = 2^{\frac{1}{p}-\frac{1}{2}}$, by Theorem 2.2, we have $C'_{NJ}(\Bbb R^2, \|\cdot\|_p) = M_1^2 = 2^{\frac{2}{p}-1}$.

If $2\leq p \leq \infty$, then we similarly have, by Proposition 2.1 and Theorem 3.2,
$C'_{NJ}(\Bbb R^2, \|\cdot\|_p)= C_Z(\Bbb R^2,||\cdot||_p)= C_{NJ}(\Bbb R^2, \|\cdot\|_p)= 2^{\frac{2}{p}-1}$.

In \cite[Example]{YL}, C. Yang and H. Li calculated the modified NJ
constant of the following normed linear space. From our theorems, we
have \end{example}

\begin{example} Let $\lambda > 0$ and
$X_{\lambda} = \Bbb R^2$ endowed with norm
$$ ||(x,y)||_{\lambda} = (||(x,y)||_p^2 + \lambda ||(x,y)||_q^2)^{1/2}.$$
(i) If $2 \leq p \leq q \leq \infty$, then $C_{NJ}(X_{\lambda}) = C'_{NJ}(X_{\lambda}) = C_Z(X_{\lambda}) = \frac{2(\lambda +1)}{2^{2/p} + \lambda 2^{2/q}}.$

\noindent (ii) If $1 \leq p \leq q \leq 2$, then
$C_{NJ}(X_{\lambda}) = C'_{NJ}(X_{\lambda}) = C_Z(X_{\lambda}) =
\frac{2^{2/p} + \lambda 2^{2/q}}{2(\lambda +1)}.$

To see this, first, we remark that $(p,q)$ is not necessarily a
H\"{o}lder pair. We define the normalized norm
$||\cdot||_{\lambda}^0$ by
$$  ||(x,y)||_{\lambda}^0 = \frac{||(x,y)||_{\lambda}}{\sqrt{1+ \lambda}}.$$
Then $||\cdot||_{\lambda}^0$ is absolute and so put the corresponding function $\psi_{\lambda}(t) = ||(1-t,t)||_{\lambda}^0$.

\noindent
(i) Suppose that $2 \leq p \leq q \leq \infty$. Since $\psi_{\lambda} \leq \psi_2$, by Proposition 2.1, we have $C_{NJ}(X_{\lambda}) = C'_{NJ}(X_{\lambda}) = M_2^2 = \frac{2(\lambda +1)}{2^{2/p} + \lambda 2^{2/q}}.$ On the other hand,  in Theorem 3.2, we take $s=0$ and $t=1$.
Then we have $r=1/2$ and $\frac{\psi_2(1/2)}{\psi_{\lambda}(1/2)}=M_2$. Thus we have
$C_Z(X_{\lambda}) = M_2^2 = \frac{2^{2/p} + \lambda 2^{2/q}}{2(\lambda +1)}.$

\noindent
(ii) Suppose that $1 \leq p \leq q \leq 2$. Since $\psi_{\lambda} \geq \psi_2$, by Theorem 2.2 and Proposition 3.1, we similarly have (ii).
\end{example}
\begin{example}
Put
\[ \psi(t)=\left\{
\begin{array}{cc}
\psi_2(t) & (0\leq t \leq 1/2), \\[1em]
\left( 2-\sqrt{2} \right) t+ \sqrt{2}-1& (1/2\leq t\leq 1). \\
\end{array}
\right. \]
Then $C'_{NJ}(\Bbb R^2, \|\cdot\|_{\psi} )< C_Z(\Bbb R^2, \|\cdot\|_{\psi})= C_{NJ}(\Bbb R^2, \|\cdot\|_{\psi})=2\sqrt{2}(\sqrt{2}-1)$.

In fact, $\psi \in \Psi_2$ and the norm of $\|\cdot\|_{\psi}$ is
\[ \| (a,b) \|_{\psi}=\left\{
\begin{array}{cc}
\sqrt{|a|^2+|b|^2} & \left(|a|\geq |b| \right) \\[1em]
\left(\sqrt{2}-1\right)|a|+|b| & \left(|a| \leq  |b| \right). \\
\end{array}
\right. \]
Since $\psi\geq \psi_2$, by Proposition 3.1, we have
 $C_Z\left( \mathbb{R}^2, \|\cdot\|_{\psi} \right )=M_1^2=2\sqrt{2}\left(\sqrt{2}-1\right)$.

We assume that $C'_{NJ}(\Bbb R^2, \|\cdot\|_{\psi} )= M_1^2$. By Theorem 2.2, we can choose $r \in [0,1]$ such that $\frac{\psi(r)}{\psi_2(r)}=\frac{\psi(1-r)}{\psi_2(1-r)}=M_1$. This is impossible by the definition of $\psi$. Therefore we have $C'_{NJ}(\Bbb R^2, \|\cdot\|_{\psi} ) < M_1^2$.
\end{example}
\begin{example}
Let $1/2 \leq \beta \leq 1$. We define a convex function
$\psi_{\beta} \in \Psi_2$ by
$$\psi_{\beta}(t) = \max\{1-t, t, \beta \}.$$
By \cite[Example 4]{S}, we have
\begin{align*}
C_{NJ}(\Bbb R^2,\|\cdot\|_{\psi_{\beta}})
= \begin{cases}
  \dfrac{\beta^2 + (1-\beta)^2}{\beta^2} &(\beta \in [\frac 12,\frac{1}{\sqrt 2}])\\
   2(\beta^2 + (1-\beta)^2)              &(\beta \in (\frac{1}{\sqrt 2}, 1]).
  \end{cases}
\end{align*}
Indeed,
\begin{align*}
M_1
= \begin{cases}
  1       &(\beta \in [\frac 12,\frac{1}{\sqrt 2}])\\
   \frac{\psi_{\beta}(1/2)}{\psi_2(1/2)} = \frac{\beta}{1/\sqrt{2}} = \sqrt{2}\beta
       &(\beta \in (\frac{1}{\sqrt 2}, 1])
  \end{cases}
\end{align*}
and
$$ M_2 = \frac{\psi_2(\beta)}{\psi_{\beta}(\beta)} = \frac{1}{\beta}\{(1-\beta)^2+\beta^2\}^{1/2}.$$
If $1/2 \leq \beta \leq 1/\sqrt{2}$, then $\psi_{\beta} \leq \psi_2$ and so, by Proposition 2.1, we have
$$C'_{NJ} (\Bbb R^2,\|\cdot\|_{\psi_{\beta}}) = M_2^2=\dfrac{\beta^2 + (1-\beta)^2}{\beta^2}.$$
By Theorem 3.2, we have $C_Z(\Bbb R^2,\|\cdot\|_{\psi_{\beta}}) < M_2^2$.

Assume that $1/\sqrt{2} < \beta \leq 1$. Since $M_1 = \frac{\psi_{\beta}(1/2)}{\psi_2(1/2)}$, we have, by Proposition 2.3,
$$C'_{NJ} (\Bbb R^2,\|\cdot\|_{\psi_{\beta}}) = M_1^2M_2^2 = 2(\beta^2 + (1-\beta)^2).$$
On the other hand, we take $s=\beta$ and $t=1-\beta$ in Theorem 3.4. Then we have $r = \frac{\psi(\beta)(1-\beta)+\psi(1-\beta)\beta}{\psi(\beta)+\psi(1-\beta)} = 1/2$.
By Theorem 3.4, we have
$$C_Z(\Bbb R^2,\|\cdot\|_{\psi_{\beta}})=M_1^2M_2^2=2(\beta^2 + (1-\beta)^2).$$
\end{example}
\begin{example} We consider $\psi_{\beta}$ in Example 4.4 in case of $\beta = 1/\sqrt{2}$.
Then we have
$$C'_{NJ}( \mathbb{R}^2, \|\cdot\|_{\psi_{\beta}} )=C_{NJ}( \mathbb{R}^2, \|\cdot\|_{\psi_{\beta}})=M_2^2
=2\sqrt{2}(\sqrt{2}-1).$$

On the other hand, we have
$C_Z( \Bbb R^2, \|\cdot\|_{\psi_{\beta}})=M_2^2
=2\sqrt{2} (\sqrt{2}-1)$.

For this $\psi_{\beta}$, define a convex function $\varphi \in \Psi_2$  by
  \[ \varphi(t)=\left\{
\begin{array}{cc}
\psi_{\beta}(t) & (0\leq t \leq 1/2), \\[1.0em]
\psi_2(t) &(1/2 \leq t \leq 1).
\end{array}
\right. \]
As in Example 4.2, we similarly have
 $$C_Z(\Bbb R^2, \|\cdot\|_{\varphi })<C'_{NJ}(\Bbb R^2, \|\cdot\|_{\varphi}) = C_{NJ}(\Bbb R^2, \|\cdot\|_{\varphi })=M_2^2
=2\sqrt{2}\left(\sqrt{2}-1\right).$$
\end{example}

\noindent \textbf{Acknowledgement.} The second author is supported
in part by Grants-in-Aid for Scientific Research, Japan Society for
the Promotion of Science (No. 23540189). The authors would also like
to thank the referees for some helpful comments.


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\end{document}

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