Abstract
We generalize the concepts of normalized duality mapping, Jorthogonality and Birkhoff orthogonality from normed spaces to smooth countably normed spaces. We give some basic properties of Jorthogonality in smooth countably normed spaces and show a relation between Jorthogonality and metric projection on smooth uniformly convex complete countably normed spaces. Moreover, we define the Jdual cone and Jorthogonal complement on a nonempty subset S of a smooth countably normed space and prove some basic results about the Jdual cone and the Jorthogonal complement of S.
Introduction
The concept of duality mapping was introduced by Beurling and Livingston [1] in a geometric form. A slightly extended version of the concept was proposed by Asplund [2], who showed how the duality mappings can be characterized via the subdifferentials of convex functions. It is well known that the geometric properties of a Banach space E correspond to the analytic properties of the duality mapping, and it is recognized that if E is smooth, then the duality mapping is singlevalued. Park and Rhee [3] defined Jorthogonality in a smooth Banach space using the normalized duality mapping. In this paper, we define the normalized duality mapping on smooth countably normed spaces, generalize the concepts of Jorthogonality and Birkhoff orthogonality in smooth countably normed spaces, and give some basic properties of Jorthogonality in these spaces. Faried and ElSharkawy [4] defined real uniformly convex complete countably normed spaces and proved that the metric projection on a nonempty convex and closed proper subset of these spaces is well defined. In this paper, we give a relation between metric projection and Jorthogonality and show fundamental links between metric projection and normalized duality mapping in smooth uniformly convex complete countably normed spaces.
Preliminaries
Definition 2.1
A normed linear space E is said to be:

(1)
Strictly convex if \(\\frac{x+y}{2}\<1\) for all \(x ,y \in E \) with \(\x\=\y\=1\) and \(x \neq y\);

(2)
Uniformly convex if for any \(\varepsilon \in (0,2]\), there exists \(\delta =\delta (\varepsilon )> 0\) such that if \(x,y \in E\) with \(\x\=1\), \(\y\=1\), and \(\xy\ \geq \varepsilon \), then \(\\frac{x+y}{2}\ \leq 1\delta \);

(3)
Smooth if \(\lim_{t\to 0} \frac{\x+ty\\x\}{t} \) exists for all \(x,y \in S(E)\), where \(S(E)\) is the unit sphere of E;

(4)
Uniformly smooth if for every \(\varepsilon > 0\), there exists \(\delta > 0\) such that for all \(x,y\in E\) with \(\x\=1\) and \(\y\\leq \delta \), we have \(\x+y\+\xy\< 2+\varepsilon \y\\).
Definition 2.2
(Metric projection [6])
Let E be a real uniformly convex Banach space, and let K be a nonempty proper subset of E. The operator \(P_{K} : E\rightarrow K\) is called a metric projection operator if it assigns to each \(x\in E\) its nearest point \(\bar{x} \in K\), that is, the solution of the minimization problem
Definition 2.3
(The normalized duality mapping [7, 8])
Let E be a real Banach space with norm \(\ \cdot \\), and let \(E^{*}\) be the dual space of E, and let \(\langle \cdot ,\cdot \rangle \) be the duality pairing. The normalized duality mapping J from E to \(2^{E^{*}} \) is defined by
The Hahn–Banach theorem guarantees that \(Jx \neq \emptyset \) for every \(x\in E\). It is well known that if E is a smooth Banach space, then the normalized duality mapping is singlevalued. In [8], we got the following example of the normalized duality mapping J in the uniformly convex and uniformly smooth Banach space \(\ell ^{p}\) with \(p\in (1,\infty )\): \(Jx:=\x\^{2p}_{\ell ^{p}}\{x_{1}x_{1}^{p2}, x_{2}x_{2}^{p2},\ldots \} \in \ell ^{q} = {\ell ^{p}}^{*} \) for \(x=\{x_{1},x_{2},\ldots\} \in \ell ^{p}\), where \(\frac{1}{p}+\frac{1}{q}=1\).
Proposition 2.4
([9])
Let E be a smooth Banach space, let \(E^{*}\) be the dual space of E, and let J be the normalized duality mapping from E to \(2^{E^{*}}\). Then J is a continuous operator in E, and \(J(\beta x)=\beta J(x)\) for all \(\beta \in \mathbb{R}\).
Definition 2.5
Let E be a smooth Banach space, and let \(E^{*}\) be the dual space of E. The Lyapunov functional \(\varphi : E\times E \rightarrow \mathbb{R}\) is defined by
for all \(x,y\in E\), where J is the normalized duality mapping from E to \(2^{E^{*}}\).
Definition 2.6
Two norms in a linear space E are said to be compatible if every Cauchy sequence \(\{x_{n}\}\) in E with respect to both norms that converges to a limit \(x\in E\) with respect to one of them also converges to the same limit x with respect to the other norm.
Definition 2.7
(Countably normed space [10, 11])
A linear space E equipped with a countable family of pairwise compatible norms \(\{\\cdot \_{n}, n \in \mathbb{N}\}\) is said to be a countably normed space. An example of a countably normed space is the space \(\ell ^{p+0} :=\bigcap_{n} \ell ^{p_{n}}\) (\(1< p < \infty \)) for any choice of a decreasing sequence \({p_{n}}\) converging to p.
Remark 2.8
([11])
For a countably normed space \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\), let \(E_{n}\) be the completion of E with respect to the norm \(\\cdot \_{n}\). We may assume that \(\\cdot \_{1} \leq \\cdot \_{2} \leq \\cdot \_{3} \leq \cdots \) in any countably normed space; we also have \(E\subset \cdots \subset E_{n+1} \subset E_{n} \subset \cdots \subset E_{1}\).
Proposition 2.9
([10])
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a countably normed space. Then E is complete if and only if \(E=\bigcap_{n \in \mathbb{N}} E_{n}\). Each Banach space \(E_{n}\) has a dual \(E_{n}^{*}\), which is a Banach space, and the dual of the countably normed space E is given by \(E^{*}=\bigcup_{n \in \mathbb{N}} E_{n} ^{*}\). We have the following inclusions:
Moreover, for \(f\in E_{n}^{*}\), we have \(\f\_{n}\geq \f\_{n+1} \) for all \(n \in \mathbb{N}\).
Definition 2.10
(Uniformly convex countably normed space [4])
A countably normed space \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) is said to be uniformly convex if \((E_{n}, \ \cdot \_{n})\) is uniformly convex for all \(n \in \mathbb{N}\).
Theorem 2.11
([4])
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a real uniformly convex complete countably normed space, and let K be a nonempty convex proper subset of E such that K is closed in each \(E_{n}\). Then there exists a unique \(\bar{x} \in K\) such that \(\x\bar{x}\_{n} =\inf_{y \in K} \x  y\_{n}\) for all \(n \in \mathbb{N}\), and the metric projection \(P : E\rightarrow K\) is defined by \(P(x)=\bar{x}\).
Definition 2.12
(Jorthogonality [3])
Let E be a smooth Banach space. Two elements \(x,y \in E\) are said to be Jorthogonal, written “x is Jorthogonal to y” or \(x\perp ^{J} y\), if \(\langle y, Jx\rangle =0\).
Definition 2.13
(Gauge function [8])
A gauge function is a continuous strictly increasing function \(\vartheta : \mathbb{R}^{+}\rightarrow \mathbb{R}^{+}\) such that \(\vartheta (0)=0\) and \(\lim_{t\to \infty } \vartheta (t)=\infty \).
Main results
Now we introduce the concept of the normalized duality mapping in smooth countably normed (SCN) spaces.
Definition 3.1
(The normalized duality mapping in SCN spaces)
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space such that \(E_{n}\) is the completion of E in \(\\cdot \_{n}\) and \((E_{n} , \\cdot \_{n})\) is a smooth Banach space for all \(n \in \mathbb{N}\), so that there exists a singlevalued normalized duality mapping \(J_{n} : E_{n}\rightarrow E_{n}^{*}\) with respect to \(\\cdot \_{n}\) for all \(n \in \mathbb{N}\). Without being confused, we understand that \(\J_{n}x\_{n}\) is the \(E_{n}^{*}\)norm and \(\x\_{n}\) is the \(E_{n}\)norm, for all \(n \in \mathbb{N}\).
We define the following multivalued mapping \(J : E\rightarrow 2^{E^{*}}\) to be the normalized duality mapping of a smooth countably normed space: \(J(x)= \{J_{n}x\}_{n=1}^{\infty } \subseteq E^{*}=\bigcup_{n \in \mathbb{N}} E_{n} ^{*}\), \(\J_{n}x\_{n}=\x\_{n}\), \(\langle J_{n}x,x\rangle =\x \_{n}^{2}\) for \(n \in \mathbb{N}\).
Remark 3.2
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space. The sequence of norms is increasing in E, and from the definition of normalized duality mappings \(J_{n}\) for each \(E_{n}\) with respect to \(\\cdot \_{n}\) we have
and thus \(\langle J_{1}x,x\rangle \leq \langle J_{2}x,x\rangle \leq \cdots \leq \langle J_{n}x,x\rangle \leq \ldots \) , and using the properties of countably normed spaces, we have \(\J_{i}x\_{n}\geq \J_{i}x\_{n+1}\) for all i and n.
Remark 3.3
The multivalued normalized duality mapping of a smooth countably normed space cannot be a singlevalued mapping, unlike the case of a smooth Banach space. Indeed, if it were a singlevalued mapping, then it would be the same singlevalued normalized duality mapping for each \(E_{n}\) with respect to \(\\cdot \_{n}\), which would imply that \(\langle Jx,x\rangle =\x\_{n}^{2}\) for all n. Then we would get \(\x\_{1}=\x\_{2}=\cdots =\x\_{n}=\cdots \) , which would mean that we are back to a normed vector space, and this ruins the construction of the countably normed space.
Proposition 3.4
If \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) is a smooth countably normed space, then \(J_{m}_{E_{n}}\) is the singlevalued normalized duality mapping of \(E_{n}\) with respect to \(\\cdot \_{n}\) for all \(m=1,2,\ldots ,n1\) and \(n\geq 2\).
Proof
Let \(J_{n1}\) be the normalized duality mapping of \(E_{n1}\) with respect to \(\\cdot \_{n1}\). We have \(J_{n1} : E_{n1} \rightarrow E_{n}^{*} \), \(E_{n1}^{*} \subseteq E_{n}^{*}\), \(E_{n} \subseteq {E_{n1}}\), so \(J_{n1}_{E_{n}} : E_{n}\rightarrow E_{n}^{*}\) and \(\J_{n1}_{E_{n}} x\_{n}=\x\_{n1} \), \(\langle J_{n1} _{E_{n}}x,x \rangle =\x\_{n1}^{2}\) for all \(x \in E_{n}\subseteq E_{n1}\). So \(J_{n1}_{E_{n}}\) is the singlevalued normalized duality mapping of \(E_{n}\) with respect to \(\\cdot \_{n1}\). The same holds for all \(m=1,2,\ldots ,n1\), and hence \(J_{m}_{E_{n}}\) is the singlevalued normalized duality mapping of \(E_{n}\) with respect to \(\\cdot \_{n}\) for all \(n\geq 2\). □
Corollary 3.5
If \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) is a smooth countably normed space, then \(E_{n}\) is a smooth Banach space with respect to \(\\cdot \_{m}\), \(m=1,2,\ldots , n1\), \(n\geq 2\).
Proof
Since \(J_{m}_{E_{n}}\) is the singlevalued normalized duality mapping of \(E_{n}\) with respect to \(\\cdot \_{n}\) for all \(m=1,2,\ldots ,n1\), then \(E_{n}\) is a smooth Banach space with respect to \(\\cdot \_{m}\) for all \(n\geq 2\). □
Proposition 3.6
Let E be a smooth countably normed space, let \(E^{*}\) be its dual space, and let \(J_{n}\) be the normalized duality mapping of \(E_{n}\) with respect to \(\\cdot \_{n}\) relative to the gauge function \(\vartheta _{n} \), where \(\vartheta _{n} (\x\_{n})=\x\_{n} = \J_{n}x\_{n}\). Define \(\psi _{n}(r)=\int _{0}^{r} \vartheta _{n}(\sigma ) \, d \sigma \). Then \(\psi _{n}(\y\_{n})\psi _{n}(\x\_{n})\geq \langle J_{n}x,yx \rangle \) for all \(y\in E\) and \(n \in \mathbb{N}\).
Proof
We have
that is, \(\psi _{n}(\y\_{n})\psi _{n}(\x\_{n})=\vartheta _{n}(\x\_{n}) \y\_{n} \langle J_{n}x,x \rangle \geq \langle J_{n}x,yx \rangle \) for all \(y\in E\) and \(n \in \mathbb{N}\). □
Proposition 3.7
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a real smooth uniformly convex complete countably normed space, and let K be a nonempty proper convex subset of E such that K is closed in each \(E_{n}\). Then \(\bar{x}=P_{K}(x)\) is the metric projection of an arbitrary element \(x \in E\) if and only if \(\langle J(x \bar{x}), \bar{x}y \rangle \geq 0\) for all \(y \in K\), where J is the normalized duality mapping on E.
Proof
“⇒” By the definition of the metric projection and the convexity of K we have
Consider \(\psi _{n}(r)= \int _{0}^{r} \vartheta _{n}(\sigma ) \, d \sigma \). If \(J_{n}\) is the normalized duality mapping relative to the gauge function \(\vartheta _{n}\) with respect to \(\\cdot \_{n}\), then (*) is equivalent to
By Proposition 3.6 and (**) we get
As μ tends to 0, we get \(\langle J_{n}(x \bar{x}),y\bar{x} \rangle \leq 0\) for all \(y \in K\) and n, that is, \(\langle J_{n}(x \bar{x}), \bar{x}y \rangle \geq 0\) for all \(y \in K\) and n.
“⇐” If \(\langle J_{n}(x \bar{x}), \bar{x} y \rangle \geq 0\) for all \(y \in K\) and n, then using Proposition 3.6, we get
Thus \(\x \bar{x}\_{n} \leq \xy\_{n}\) for all \(y \in K\) and n, and so \(\bar{x}= P_{K}(x)\). □
Theorem 3.8
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a real smooth uniformly convex complete countably normed space, and let K be a nonempty proper convex subset of E such that K is closed in each \(E_{n}\).
Then \(\bar{x}=P_{K}(x)\) is the metric projection of an arbitrary element \(x \in E\) if and only if \(\langle J_{n}(x \bar{x}),xy\rangle \geq \x \bar{x}\_{n}^{2}\) for all \(y \in K\) and n.
Proof
“⇒” By Proposition 3.6 we have \(\langle J_{n}(x \bar{x}), \bar{x}y\rangle \geq 0\) for all \(y \in K\) and n. Besides,
and therefore \(\langle J_{n}(x\bar{x}),xy\rangle \geq \x\bar{x}\_{n}^{2}\) for all \(y \in K\) and n.
“⇐” If \(\x\bar{x}\_{n}=0\), then we are done. So, let us assume that \(\x\bar{x}\_{n} \neq 0\). Then
that is, \(\bar{x}= P_{K}(x)\). □
Definition 3.9
(Jorthogonality in smooth countably normed spaces)
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space. We say that an element \(x\in E\) is Jorthogonal to an element \(y\in E\) and write \(x \perp ^{J} y\) if \(\langle y, J_{n}x \rangle =0\) for all n, that is, \(\langle y,Jx\rangle =0\), where J is the normalized duality mapping of E.
Definition 3.10
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space, and let \(x_{1}, x_{2}, \ldots , x_{n} \in E\setminus \{0\}\). Then the set \(\{x_{1},x_{2},\ldots , x_{n}\}\) is called a Jorthogonal set if \(x_{i}\perp x_{j}\) for all \(i, j \in \{1,2,\ldots , n\}\) with \(i\neq j\).
Definition 3.11
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space. We say that an element \(x\in E\) is orthogonal to an element \(y\in E\) in the Birkhoff sense if \(\x+\alpha y\_{i}^{2} \geq \x\_{i}^{2}\) for all \(i=1,2,\ldots , n, \ldots \) and \(\alpha \in \mathbb{R}\).
Proposition 3.12
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a smooth countably normed space, and let \(x_{1}, x_{2}, \ldots , x_{n} \in E\setminus \{0\}\). Then:

(1)
If \(\{x_{1},x_{2},\ldots , x_{n}\}\) is a Jorthogonal set, then \(x_{1},x_{2},\ldots , x_{n}\) are linearly independent;

(2)
Let \(x,y \in E\). Then \(x\perp ^{J} y\) if and only if \(x\perp y\) in the Birkhoff sense.
Proof
(1) Let \(\alpha _{1} x_{1}+\alpha _{2} x_{2}+\cdots +\alpha _{n} x_{n}=0\) for some scalars \(\alpha _{1} , \alpha _{2} , \ldots , \alpha _{n} \in \mathbb{R}\).
For all \(m \in \{1, \ldots , n\}\) and i, we have:
and so \(\alpha _{m}=0\) for all m. Thus \(x_{1},x_{2},\ldots , x_{n}\) are linearly independent.
(2) If \(x\perp ^{J} y\), then \(\langle y,J_{i}x\rangle =0\) for all i. Besides, using the Lyapunov functional, we have
Thus \(\x+\alpha y\_{i}^{2} \geq \x\_{i}^{2}\) for all i and \(\alpha \in \mathbb{R}\). Hence \(x\perp y\) in the Birkhoff sense.
On the other hand, let \(x\perp y\) in the Birkhoff sense, that is, \(\x+\alpha y\_{i}^{2} \geq \x\_{i}^{2}\) for all i and \(\alpha \in \mathbb{R}\). If \(\langle y, J_{i} x\rangle \neq 0\) for some i, then by taking \(\alpha _{0} = \frac{\x+\alpha y\_{i}^{2}\x\_{i}^{2}}{\langle y, J_{i}x\rangle }\) we get that the Lyapunov functional \(\varphi _{i} (x+\alpha _{0} y,x) < 0\). This contradicts that \(\varphi _{i}(x,y) > 0\) for all i. □
Proposition 3.13
Let \(\{x_{1},x_{2},\ldots , x_{n}\}\) be a Jorthogonal set in a smooth countably normed space E with dual space \(E^{*}\). The set \(\{J_{i}x_{1}, \ldots , J_{i}x_{n}\}\) is linearly independent in the dual space \(E^{*}\) for all i.
Proof
If \(\alpha _{1} J_{i}x_{1}+ \cdots +\alpha _{n} J_{i}x_{n}=0 \) for some scalars \(\alpha _{1} , \ldots , \alpha _{n} \in \mathbb{R} \), then for each \(m \in \{1,2,\ldots ,n\}\), we get \(\langle x_{m},\alpha _{1} J_{i}x_{1}+\cdots + \alpha _{n} J_{i}x_{n} \rangle = \alpha _{m} \x\_{i}^{2} = 0\) for all i. Hence \(\alpha _{m} =0\) for all m. Thus, for all i, the set \(\{J_{i}x_{1}, \ldots , J_{i}x_{n}\}\) is linearly independent in the dual space \(E^{*}\). □
The following theorem gives a relation between metric projection and orthogonality in real uniformly convex complete countably normed spaces.
Theorem 3.14
Let \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) be a real smooth uniformly convex complete countably normed space, and let M be a nonempty proper subspace of E such that M is closed in each \(E_{i}\). Then
for all i if and only if \(x\bar{x} \bot ^{J} M\).
Proof
Assume that
If \(z\in M\), then \(\bar{x}\alpha z \in M\) for all \(\alpha \in \mathbb{R}\), and \(\x\bar{x}\_{i} \leq \x(\bar{x}\alpha z)\_{i}=\(x\bar{x})+ \alpha z\_{i}\) for all i. Therefore \(x\bar{x}\) is orthogonal to M in the Birkhoff sense. Consequently, \(x\bar{x}\perp ^{J} M\).
On the other hand, if \(x\bar{x}\perp ^{J} M\), then \(x\bar{x}\) is orthogonal to M in the Birkhoff sense, that is, \(\x\bar{x}\_{i} \leq \x\bar{x}+\alpha y\_{i}\) for all \(\alpha \in \mathbb{R}\), \(y\in M\), and i.
Since \(\bar{x}y \in M\), for all \(y\in M\) and i, we get
for all \(\alpha \in \mathbb{R}\).
Taking \(\alpha =1\), we get \(\x\bar{x}\_{i} \leq \xy\_{i}\) for all \(y\in M\) and i. Thus \(\x\bar{x}\_{i}=\inf_{y \in M} \xy\_{i}\) for all i. □
Example 3.15
\(\ell _{2+0} := \bigcap_{n \in \mathbb{N}} \ell _{2+ \frac{1}{n}}\) is a uniformly convex uniformly smooth complete countably normed space with the norms
for each \(x=\{x_{i}\}\in \ell _{2+0}\), and
Consider the closed subspace M of \(\ell _{2+0}\) generated by \(\{1,0,0,0,\ldots \}\). Using the previous theorem, we get
Definition 3.16
The Jdual cone of a nonempty subset S of a smooth countably normed space \((E, \{\\cdot \_{n}, n \in \mathbb{N}\})\) is the set
In addition, the Jorthogonal complement of S is the set
Theorem 3.17
Let S be a nonempty subset of a smooth countably normed space \((E, \{{\\cdot \}_{n}, n \in \mathbb{N}\})\). Then:

(1)
\(S_{J}^{o}\) and \(S_{J}^{\perp }\) are closed cones;

(2)
\(S_{J}^{o}=(\bar{S})_{J}^{o}\) and \(S_{J}^{\perp }= (\bar{S})_{J}^{\perp }\);

(3)
\(S_{J}^{o}=[\operatorname{conv}(S)]_{J}^{o}={\overline{[\operatorname{conv}(S)]}}_{J}^{o}\) and \(S_{J}^{\perp }=[\operatorname{span}(S)]_{J}^{\perp }=\overline{[\operatorname{span}(S)]}_{J}^{\perp }\), where \(\operatorname{conv}(S)\) is the convex hull of S, and \(\operatorname{span}(S)\) is the subspace generated by S;

(4)
\(\bar{S}\subset (S_{J}^{o})^{o}\) and \(\bar{S}\subset (S_{J}^{\perp })^{\perp }\);

(5)
If C is a cone, then \((Cy)_{J}^{o}=C_{J}^{o}\cap y_{J}^{\perp }\) for all \(y\in C\);

(6)
If M is a subspace, then \(M_{J}^{o}=M_{J}^{\perp }\).
Proof
(1) If \(x_{n}\in S_{J}^{o}\) and \(x_{n}\rightarrow x\), then for all \(y \in S\), \(\langle y,J_{i}x \rangle =\lim_{n \to \infty } \langle y,J_{i}x_{n} \rangle \leq 0\) ∀i implies that \(x \in S_{J}^{o}\), and thus \(S_{J}^{o}\) is closed. If \(x \in S_{J}^{o}\) and \(\alpha \geq 0\), then for all \(y \in S\) and i, we get
Hence \(\alpha x\in S_{J}^{o}\), and thus \(S_{J}^{o}\) is a cone. Since \(S_{J}^{\perp }= S_{J}^{o} \cap (S)_{J}^{o}\), \(S_{J}^{\perp }\) is a closed cone.
(2) Since \(S \subseteq \bar{S}\), we have \((\bar{S})_{J}^{o}\subseteq S_{J}^{o}\). If \(x\in S_{J}^{o}\) and \(y\in \bar{S}\), choose \(y_{n} \in S\) such that \(y_{n}\rightarrow y\). Then \(\langle y,J_{i}x\rangle = \lim_{n \to \infty } \langle y_{n},J_{i}x \rangle \leq 0\) for all i implies \(x \in (\bar{S})_{J}^{o}\). Thus \(S_{J}^{o} = (\bar{S})_{J}^{o}\). Moreover, \(S_{J}^{\perp }= (\bar{S})_{J}^{\perp }\).
(3) Since \(S\subseteq \operatorname{conv}(S)\), \([\operatorname{conv}(S)]_{J}^{o} \subseteq S_{J}^{o}\). Let \(x \in S_{J}^{o}\) and \(y \in \operatorname{conv}(S)\). By the definition of \(\operatorname{conv}(S)\), \(y= \sum_{m=1}^{n} \rho _{m} y_{m}\) for some \(y_{i} \in S\) and \(\rho _{i} \geq 0\) with \(\sum_{m=1}^{n} \rho _{m} =1\), \(i=1,2, \ldots ,n\).
Then \(\langle y,J_{i}x\rangle = \sum_{m=1}^{n} \rho _{m} \langle y_{m},J_{i}x\rangle \leq 0\) for all i implies \(x \in [\operatorname{conv}(S)]_{J}^{o}\), so \(S_{J}^{o} \subseteq [\operatorname{conv}(S)]_{J}^{o}\). Thus \(S_{J}^{o}=[\operatorname{conv}(S)]_{J}^{o}\). Moreover, \(S_{J}^{\perp }= [\operatorname{span}(S)]_{J}^{\perp }= \overline{[\operatorname{span}(S)]}_{J}^{\perp }\).
(4) If \(x \in S\), then for all \(y \in S_{J}^{o}\), \(\langle x,J_{i}y\rangle \leq 0\) for all i. Hence \(x\in (S_{J}^{o})^{o}\). Thus \(S\subseteq (S_{J}^{o})^{o}\). Since \((S_{J}^{o})^{o} \) is closed, \(\bar{S} \subseteq (S_{J}^{o})^{o}\).
(5) Now \(x \in (Cy)_{J}^{o}\) if and only if \(\langle cy,J_{i}x\rangle \leq 0\) for all i and \(c\in C\). Let \(x \in (Cy)_{J}^{o}\). Taking \(c=0\) and \(c=2y\), we have \(\langle y,J_{i}x\rangle =0\), and \(\langle c,J_{i}x\rangle \leq 0\) for all i and \(c\in C\). Thus \(x \in {C_{J}^{o}\cap y_{J}^{\perp }}\). Moreover, if \(x \in {C_{J}^{o}\cap y_{J}^{\perp }}\), then \(\langle c,J_{i}x\rangle \leq 0\) and \(\langle y,J_{i}x\rangle = 0\) for all i and \(c \in C\). Thus \(x\in (Cy)_{J}^{o}\). Therefore \((Cy)_{J}^{o}= C_{J}^{o} \cap y_{J}^{\perp }\) for all \(y \in C\).
(6) If M is a subspace of E, then \(M=M\) implies \(M_{J}^{\perp }= M_{J}^{o} \cap (M)_{J}^{o} =M_{J}^{o}\). □
Conclusion
In this paper, we defined Jorthogonality and Birkhoff orthogonality in smooth countably normed spaces and showed that these two types of orthogonality coincide in these spaces. Besides, we proved some basic properties of Jorthogonality in smooth countably normed spaces and gave a relation between Jorthogonality and metric projection on smooth uniformly convex complete countably normed spaces. Moreover, we gave fundamental links between Jorthogonality and metric projection in smooth uniformly convex complete countably normed spaces. In addition, we defined the Jdual cone and Jorthogonal complement on a nonempty subset S of a smooth countably normed space and proved some basic results about the Jdual cone and Jorthogonal complement of S.
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Abbreviations
 SCN:

smooth countably normed (space)
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Tawfeek, S., Faried, N. & ElSharkawy, H.A. Orthogonality in smooth countably normed spaces. J Inequal Appl 2021, 20 (2021). https://doi.org/10.1186/s13660020025315
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 46A04
Keywords
 Countably normed space
 Normalized duality mapping
 Jorthogonality
 Uniformly convex countably normed space
 Projection theorem in a countably normed space
 Metric projection
 Birkhoff orthogonality
 Jdual cone
 Jorthogonal complement