[1] E.W. Cheney and D.E. Wulbert, The Existence and Unicity of Best Approximations, Math. Scand. 24(1969), 113-140.
[2] F. Deutsch, Linear Selections for the Metric Projection, J. Funct. Anal. 49(1983), 269-292.
[3] F. Deutsch, Wu Li, Sung-Ho Park, Characterizations of Continuous and Lipschitz Continuous Metric Selections in Normed Linear Spaces, J.A.T., 58 (1989), 297-314.
[4] C. Mustata, On the Selections Associated to the Metric Projecitons, Revue d’Analyse Numerique et de Theorie l’Approximation 23 (I) (1994), 89-93.
Paper (preprint) in HTML form
1995-Mustata-Selections associated to the metric projection-Jnaat
SELECTIONS ASSOCIATED TO THE METRIC PROJECTION
S. COBZAŞ, C. MUSTĂTA
(Cluj-Napoca)
Let XX be a normed space, MM a subspace of XX and xx an element of XX. The distance from xx to MM is defined by
{:(1)d(x","M):=i n f{||x-y||:y in M}.:}\begin{equation*}
\mathrm{d}(x, M):=\inf \{\|x-y\|: y \in M\} . \tag{1}
\end{equation*}
An element y in My \in M verifying the equality ||x-y||=d(x,M)\|x-y\|=d(x, M) is called an element of best approximation for xx by elements in MM. The set of all elements of best approximation for xx is denoted by P_(M)(x)P_{M}(x), i.e.
{:(2)P_(M)(x):={y in M:||x-y||=d(x","M)}.:}\begin{equation*}
P_{M}(x):=\{y \in M:\|x-y\|=d(x, M)\} . \tag{2}
\end{equation*}
If P_(M)(x)!=O/P_{M}(x) \neq \varnothing (respectively P_(M)(x)P_{M}(x) is a singleton) for all x in Xx \in X, then MM is called a proximinal (respectively a Chebyshevian) subspace of XX.
The set-valued application P_(M):X rarr2^(M)P_{M}: X \rightarrow 2^{M} is called the metric projection of XX on MM and a function p:X rarr Mp: X \rightarrow M such that p(x)inP_(M)(x)p(x) \in P_{M}(x), for all x in Xx \in X, is called a selection for the metric projection P_(M)P_{M}. Observe that the existence of a selection for P_(M)P_{M} implies P_(M)(x)!=O/P_{M}(x) \neq \varnothing, for all x in Xx \in X, i.e. the subspace MM is necessarily proximinal.
is called the kernel of the metric projection P_(M)P_{M}.
In many situations for a given subspace MM of XX the problem of best approximation is not considered for the whole space XX but rather for a subset KK of XX. This is the case which we consider in this paper and to this end we need some definitions and notation.
If KK is a subset of the normed space X and P_(M)(x)!=O/P_{M}(x) \neq \varnothing (respectively P_(M)(x)P_{M}(x) is a singleton) for all x in Kx \in K, then the subspace MM is called KK-proximinal (respectively KK-Chebyshevian). The restriction of the metric projection P_(M)P_{M} to KK is denoted by P_(M∣K)P_{M \mid K} and its kernel by KerP_(M∣K)\operatorname{Ker} P_{M \mid K} :
KerP_(M∣K):={x in K:O inP_(M)(x)}.\operatorname{Ker} P_{M \mid K}:=\left\{x \in K: O \in P_{M}(x)\right\} .
For two nonvoid subsets U,VU, V of XX denote by U+V:={u+v:u in U,v in V}U+V:=\{u+v: u \in U, v \in V\} their algebraic sum. If every x in U+Vx \in U+V can be uniquely written in the form x=u+vx=u+v with u in Uu \in U and v in Vv \in V, then U+VU+V is called the direct algebraic sum of the sets UU and VV and is denoted by U+VU+V. If K=U+VK=U+V and the application (u,v)rarr u+v,u in U,v in V(u, v) \rightarrow u+v, u \in U, v \in V, is a topological homeomorphism between U xx VU \times V (endowed with the product topology) and KK then KK is called the direct topological sum of the sets UU and VV, denoted by K=U o+VK=U \oplus V.
F. Deutsch [2] proved that if MM is a proximinal subspace of XX then the metric projection P_(M)P_{M} admits a continuous and linear selection if and only if the subspace MM is complemented in XX by a closed subspace of KerP_(M)\operatorname{Ker} P_{M} ([2], Theorem 2.2).
In [4], one of the authors of the present paper considered a similar problem for a closed convex cone KK in XX and a KK-proximinal subspace MM of XX, asking for P_(M{K)P_{M\{K} to admit a continuous, positively homogeneous and additive selection. The following sufficient condition for the existence of such a selection was obtained:
If there exist two closed convex cones C sub KerP_(M)C \subset \operatorname{Ker} P_{M} and U sub MU \subset M, such that K=C o+UK=C \oplus U, then the metric projection P_(MJK)P_{M J K} admits a continuous, positively homogeneous and additive selection ([4], Theorem A).
This condition is not necessary for the existence of such a selection. In this paper we shall give a reformulation (called Theorem A^(')A^{\prime} ) of Theorem AA from [4] and prove that if P_(M∣K)P_{M \mid K} admits a continuous, positively homogeneous and additive selection, satisfying some suplementary conditions, then the cone KK admits a decompositions K=C o+UK=C \oplus U, with C sub KerP_(M∣K)C \subset \operatorname{Ker} P_{M \mid K} and U sub MU \subset M, closed convex cones (Theorem B). Although the conditions in theorems A' and B are very close to be necessary and sufficient for the existence of a continuous, positively homogeneous and additive selection for P_(M∣K)P_{M \mid K}, we weren't able to find such conditions. Some situations which may occur are illustrated by some examples following Theorem B.
By a convex cone in XX we understand a nonvoid subset KK of XX such that:
a) x_(1)+x_(2)in Kx_{1}+x_{2} \in K, for all x_(1),x_(2)in Kx_{1}, x_{2} \in K, and
b) lambda*x in K\lambda \cdot x \in K, for all x in Kx \in K, and lambda >= 0\lambda \geq 0.
A carefull examination of the statement and of the proof of Theorem AA in [4] yields the following more detailed reformulation:
Theorem A'. Let MM be a closed linear subspace of a normed space XX and KK a closed convex cone in XX. If there exist two closed convex cones C sub KerP_(M//K)C \subset \operatorname{Ker} P_{M / K} and U sub MU \subset M such that K=C o+UK=C \oplus U, then the application p:K rarr Mp: K \rightarrow M,
defined by p(x)=zp(x)=z, for x=y+z in K,y in C,z in Ux=y+z \in K, y \in C, z \in U, is a continuous, positively homogeneous and additive selection of the metric projection P_(M∣K)P_{M \mid K}. The subspace MM is KK-proximinal and C=p^(-1)(0),U=p(K)C=p^{-1}(0), U=p(K).
The following theorem shows that, in some cases, the existence of a continuous, positively homogeneous and additive selection for P_(M∣K)P_{M \mid K} implies the decomposability of K in the form K=C o+UK=C \oplus U, with CC and UU closed convex cones.
THEOREM B. Let XX be a normed space, MM a closed subspace of XX and KK a closed convex cone in XX. Suppose that the metric projection P_(M∣K)P_{M \mid K} admits a continuous, positively homogeneous and additive selection pp such that:
a) p(K)p(K) is closed and contained in KK, and
b) x-p(x)in Kx-p(x) \in K, for all x in Kx \in K.
Then p^(-1)(0)p^{-1}(0) and p(K)p(K) are closed convex cones contained in KerP_(M∣K)\operatorname{Ker} P_{M \mid K} and MM respectively, and K=p^(-1)(0)o+p(K)K=p^{-1}(0) \oplus p(K).
If p(K)p(K) is a closed subspace of KK or M sub KM \subset K then the conditions a) and b) are automatically fulfilled.
Proof. By the additivity, positive homogeneity of pp and the fact that KK is a convex cone, it follows immediately that p(K)p(K) is a convex cone contained in MM. By hypothesis aa ) it is also closed.
By the continuity of pp the set p^(-1)(0)sub KerP_(M∣K)p^{-1}(0) \subset \operatorname{Ker} P_{M \mid K} is closed. If y inp^(-1)(0)y \in p^{-1}(0) and lambda >= 0\lambda \geq 0 then p(lambda*y)=lambda*p(y)=0p(\lambda \cdot y)=\lambda \cdot p(y)=0, showing that lambda*y inp^(-1)(0)\lambda \cdot y \in p^{-1}(0). Similarly, y_(1),y_(2)inp^(-1)(0)y_{1}, y_{2} \in p^{-1}(0) and the additivity of pp imply p(y_(1)+y_(2))=p(y_(1))+p(y_(2))=0p\left(y_{1}+y_{2}\right)=p\left(y_{1}\right)+p\left(y_{2}\right)=0, showing that p^(-1)(0)p^{-1}(0) is a closed convex cone contained in KerP_(M∣K)\operatorname{Ker} P_{M \mid K}.
Now we prove that K=p^(-1)(0)+p(K)K=p^{-1}(0)+p(K). If x in Kx \in K then by Condition bb ), y:=x-p(x)in Ky:=x-p(x) \in K. By Condition a), p(x)in Kp(x) \in K implying x=y+p(x)x=y+p(x) with y,p(x)in Ky, p(x) \in K : Using the additivity of the function pp and the fact that p(p(x))=p(x)p(p(x))=p(x) (in fact p(m)=mp(m)=m for all m in Mm \in M ) we obtain p(x)=p(y)+p(p(x))=p(y)+p(x)p(x)=p(y)+p(p(x))=p(y)+p(x). It follows p(y)=0p(y)=0, i.e. y inp^(-1)(0)y \in p^{-1}(0) and K subp^(-1)(0)+p(K)K \subset p^{-1}(0)+p(K). Since p^(-1)(0)p^{-1}(0) and p(K)p(K) are contained in KK and KK is a convex cone, it follows that p^(-1)(0)+p(K)sub Kp^{-1}(0)+p(K) \subset K and K=p^(-1)(0)+p(K)K=p^{-1}(0)+p(K).
To show that this is a direct algebraic sum, suppose that an element x in Kx \in K admits two representations: x=y+p(x)x=y+p(x) and x=y^(')+z^(')x=y^{\prime}+z^{\prime}, with y,y^(')inp^(-1)(0)y, y^{\prime} \in p^{-1}(0) and z^(')in p(K)sub Mz^{\prime} \in p(K) \subset M. It follows p(z^('))=z^(')p\left(z^{\prime}\right)=z^{\prime} and, by the additivity of p,p(x)=p(y^('))+p(z^('))=0+z^(')=z^(')p, p(x)=p\left(y^{\prime}\right)+p\left(z^{\prime}\right)=0+z^{\prime}=z^{\prime}, implying y^(')=x-p(x)=yy^{\prime}=x-p(x)=y and z^(')=p(x)z^{\prime}=p(x).
It remains to show that the comespondence (y,z)rarr y+z,y inp^(-1)(0),z in p(K)(y, z) \rightarrow y+z, y \in p^{-1}(0), z \in p(K), is a homeomophism between p^(-1)(0)xx p(K)p^{-1}(0) \times p(K), equipped with the product topology,
and KK. To this end consider a sequence (y_(n),z_(n))inp^(-1)(0)xx p(K),n in N\left(y_{n}, z_{n}\right) \in p^{-1}(0) \times p(K), n \in N, converging to (y,z)inp^(-1)(0)xx p(K)(y, z) \in p^{-1}(0) \times p(K). It follows y_(n)rarr yy_{n} \rightarrow y and z_(n)rarr zz_{n} \rightarrow z, implying (y_(n),z_(n))rarr y+z\left(y_{n}, z_{n}\right) \rightarrow y+z, which proves the continuity of the application (y,z)rarr y+z(y, z) \rightarrow y+z.
To prove the continuity of the inverse application x|->(y,z)x \mapsto(y, z), where x=y+z,y inp^(-1)(0),z in p(K)x=y+z, y \in p^{-1}(0), z \in p(K), take again a sequence x_(n)=y_(n)+z_(n)in K,y_(n)inp^(-1)(0),z_(n)in p(K)x_{n}=y_{n}+z_{n} \in K, y_{n} \in p^{-1}(0), z_{n} \in p(K), converging to x=y+z in Kx=y+z \in K, where y inp^(-1)(0)y \in p^{-1}(0) and z in p(K)z \in p(K). It follows z_(n)=p(x_(n)),n in N,z=p(x)z_{n}=p\left(x_{n}\right), n \in N, z=p(x), and, by the continuity of the application p,z_(n)=p(x_(n))rarr p(x_(n))=zp, z_{n}=p\left(x_{n}\right) \rightarrow p\left(x_{n}\right)=z. But then y_(n)=x_(n)-z_(n)rarr x-z=yy_{n}=x_{n}-z_{n} \rightarrow x-z=y, proving that the sequence ((y_(n),z_(n)))_(n in N)\left(\left(y_{n}, z_{n}\right)\right)_{n \in N} converges to (y,z)(y, z) with respect to the product topology of p^(-1)(0)xx p(K)p^{-1}(0) \times p(K). This shows that the application x|->(y,z)x \mapsto(y, z), x=y+z inp^(-1)(0)+p(K)x=y+z \in p^{-1}(0)+p(K), is continuous too and, consequently, the application (y,z)|->y+z(y, z) \mapsto y+z is a homeomorphism between p^(-1)(0)xx p(K)p^{-1}(0) \times p(K) and KK.
If p(K)p(K) is a closed subspace of KK then Condition a) holds and, for x in K,p(x)x \in K, p(x) and -p(x)-p(x) are in p(K)sub Kp(K) \subset K so that x-p(x)in Kx-p(x) \in K, showing that Condition bb ) holds too. If M sub KM \subset K then M=p(M)sub p(K)M=p(M) \subset p(K) and, since p(K)sub Mp(K) \subset M, it follows that p(K)=Mp(K)=M is a closed subspace of KK. Theorem B is completely proved.
Remark. Conditions aa ) and bb ) are fulfilled by the selection pp given in Theorem A'. Indeed, K=p^(-1)(0)o+p(K)K=p^{-1}(0) \oplus p(K) implies that p(K)p(K) is a closed convex cone contained in K . Since every x in Kx \in K can be written in the form x=y+zx=y+z with p(y)=0p(y)=0 and z=p(x)z=p(x), it follows that x-p(x)=x-z=y in Kx-p(x)=x-z=y \in K for all x in Kx \in K.
In the following examples, there always exists a continuous, positively homogeneous and additive selection of the metric projections but, the equality K=p^(-1)(0)o+p(K)K=p^{-1}(0) \oplus p(K) is not true in all these cases.
Example 1. Take X=R^(2)X=R^{2} with the Euclidean norm and M{(x_(1),0):x_(1)in R}M\left\{\left(x_{1}, 0\right): x_{1} \in R\right\}. Then P_(M)((x_(1),x_(2)))={(x_(1),0)}P_{M}\left(\left(x_{1}, x_{2}\right)\right)=\left\{\left(x_{1}, 0\right)\right\}, for all (x_(1),x_(2))inR^(2)\left(x_{1}, x_{2}\right) \in R^{2}, i.e. MM is a Chebyshevian subspace of XX and the only selection of the metric projection is p((x_(1),x_(2)))=(x_(1),0)p\left(\left(x_{1}, x_{2}\right)\right)=\left(x_{1}, 0\right), for (x_(1),x_(2))inR^(2)\left(x_{1}, x_{2}\right) \in R^{2}. Let R_(+)^(2):={(x_(1),x_(2))inR^(2):x_(1) >= 0,x_(2) >= 0}R_{+}^{2}:=\left\{\left(x_{1}, x_{2}\right) \in R^{2}: x_{1} \geq 0, x_{2} \geq 0\right\}.
a) Take K={(x_(1),x_(2)):x_(1)=x_(2),x_(1) >= 0}K=\left\{\left(x_{1}, x_{2}\right): x_{1}=x_{2}, x_{1} \geq 0\right\}. In this case KerP_(M∣K)={(0,0)}\operatorname{Ker} P_{M \mid K}=\{(0,0)\} so that the only closed convex cone contained in KerP_(M∣K)\operatorname{Ker} P_{M \mid K} is C={(0,0)}C=\{(0,0)\}. The subspace MM contains two nontrivial closed cones U_(+)={(x_(1),0):x_(1) >= 0}U_{+}=\left\{\left(x_{1}, 0\right): x_{1} \geq 0\right\} and U_(-)={(x_(1),0):x_(1) <= 0}quad p(K)=U_(+)U_{-}=\left\{\left(x_{1}, 0\right): x_{1} \leq 0\right\} \quad p(K)=U_{+}and K!=C o+U_(+)=U_(+)K \neq C \oplus U_{+}=U_{+}.
b) Let K={(x_(1),x_(2))inR^(2):x_(2) >= x_(1),x_(1) >= 0}K=\left\{\left(x_{1}, x_{2}\right) \in R^{2}: x_{2} \geq x_{1}, x_{1} \geq 0\right\}. In this case Ker P_(M∣K)={(0,x_(2)):x_(2) >= 0}P_{M \mid K}=\left\{\left(0, x_{2}\right): x_{2} \geq 0\right\} and the only nontrivial closed convex cone contained in KerP_(M∣K)\operatorname{Ker} P_{M \mid K} is C=KerP_(M∣K)C=\operatorname{Ker} P_{M \mid K}. Again p(K)=U_(+)p(K)=U_{+}but K!=C o+p(K)=R_(+)^(2)K \neq C \oplus p(K)=R_{+}^{2}.
c) Let K={(x_(1),x_(2)):x_(2) <= x_(1),x_(1) >= 0}K=\left\{\left(x_{1}, x_{2}\right): x_{2} \leq x_{1}, x_{1} \geq 0\right\}. In this case KerP_(M∣K)={(0,0)}\operatorname{Ker} P_{M \mid K}=\{(0,0)\} implying C={(0,0)}C=\{(0,0)\}. We have p(K)=U_(+)sub K nn Mp(K)=U_{+} \subset K \cap M but K!=C o+p(K)=R_(+)^(2)K \neq C \oplus p(K)=R_{+}^{2}.
d) K={(x_(1),x_(2)):x_(1) >= 0,x_(2) >= 0}K=\left\{\left(x_{1}, x_{2}\right): x_{1} \geq 0, x_{2} \geq 0\right\}. In this case KerP_(M∣K)={(0,x_(2)):x_(2) >= 0}\operatorname{Ker} P_{M \mid K}=\left\{\left(0, x_{2}\right): x_{2} \geq 0\right\}, C=p^(-1)(0)=KerP_(M∣K),p(K)=U_(+)C=p^{-1}(0)=\operatorname{Ker} P_{M \mid K}, p(K)=U_{+}and K=p^(-1)(0)o+p(K)K=p^{-1}(0) \oplus p(K).
e) K={(x_(1),x_(2))inR^(2):x_(2) >= 0}K=\left\{\left(x_{1}, x_{2}\right) \in R^{2}: x_{2} \geq 0\right\}. In this case p(K)=M sub K,KerP_(K∣M)=={(0,x_(2)):x_(2) >= 0}p(K)=M \subset K, \operatorname{Ker} P_{K \mid M}= =\left\{\left(0, x_{2}\right): x_{2} \geq 0\right\} and K=C o+p(K)K=C \oplus p(K), where C=KerP_(M∣K)C=\operatorname{Ker} P_{M \mid K}.
Remarks. In Example 1.a) none of the Condition aa ) and bb ) from Theorem A^(')A^{\prime} is verified.
In Example 1.b) condition bb ) is fulfilled but p(K)⊄Kp(K) \not \subset K, while in Example 1.c), p(K)sub Kp(K) \subset K but x-p(x)in Kx-p(x) \in K only for x=(0,0)x=(0,0).
In Example 1.d) Conditions aa ) and bb ) are both verified but p(K)p(K) is not a subspace of KK.
In Example 1.e) p(K)=Mp(K)=M.
The following example shows that p(K)p(K) may be a closed subspace of K with p(K)!=Mp(K) \neq M.
Example 2. Let X=R^(3)X=R^{3} with the Euclidean norm, M={(x_(1),x_(2),0):x_(1),x_(2)in R}M=\left\{\left(x_{1}, x_{2}, 0\right): x_{1}, x_{2} \in R\right\} and K={(0,x_(2),x_(3)):x_(2)in R,x_(3) >= 0}K=\left\{\left(0, x_{2}, x_{3}\right): x_{2} \in R, x_{3} \geq 0\right\}. Then p(K)={(0,x_(2),0):x_(2)in R}!=Mp(K)=\left\{\left(0, x_{2}, 0\right): x_{2} \in R\right\} \neq M and KerP_(M∣K)={(0,x_(3),0):x_(3) >= 0}\operatorname{Ker} P_{M \mid K}=\left\{\left(0, x_{3}, 0\right): x_{3} \geq 0\right\}. The equality K=C o+p(K)K=C \oplus p(K) holds with C=KerP_(M∣K)C=\operatorname{Ker} P_{M \mid K}.
Example 3. Let X=C[a,b]X=C[a, b] be the Banach space of all continuous realvalued functions on the interval [a,b][a, b] with the sup-norm.
The set
M:={f in C[a,b]:f(a)=f(b)=0}M:=\{f \in C[a, b]: f(a)=f(b)=0\}
is a closed convex cone in C[a,b]C[a, b] and M sub KM \subset K.
First show that the subspace MM is KK-proximinal. For f in Kf \in K, the function gg defined by g(x):=f(x)-f(a),x in[a,b]g(x):=f(x)-f(a), x \in[a, b], is an element of best approximation for ff in KK. Indeed, we have ||f-g||=f(a)\|f-g\|=f(a) and ||f-h|| >= |f(a)-h(a)|\|f-h\| \geq|f(a)-h(a)|, for all h in Mh \in M. It follows that d(f,M)=f(a)d(f, M)=f(a) and g inP_(M∣K)(f)g \in P_{M \mid K}(f).
The kernel of the restricted metric projection is
{:[KerP_(M∣K)={f in K:0inP_(M∣K)(f)}=],[={f in K:-f(a) <= f(x) <= f(a)","" for all "x in[a","b]}]:}\begin{aligned}
\operatorname{Ker} P_{M \mid K} & =\left\{f \in K: 0 \in P_{M \mid K}(f)\right\}= \\
& =\{f \in K:-f(a) \leq f(x) \leq f(a), \text { for all } x \in[a, b]\}
\end{aligned}
It follows p(f)inP_(M∣K)(f)p(f) \in P_{M \mid K}(f) and the inequalities
for f_(1)f_(2)in Kf_{1} f_{2} \in K, imply the continuity of the application pp.
Obviously that pp is positively homogeneous and additive on KK. Since M sub KM \subset K, Theorem B can be applied to obtain the equality K^(˙)=p^(-1)(0)o+p(K)\dot{K}=p^{-1}(0) \oplus p(K). In this case p^(-1)(0)={g in K:EE c >= 0,g(x)=cp^{-1}(0)=\{g \in K: \exists c \geq 0, g(x)=c, for all x in[a,b]}x \in[a, b]\} and f(x)=f(a)+(f(x)f(x)=f(a)+(f(x) - f(a)f(a) ) is the unique decomposition of f in Kf \in K in the form f=g+hf=g+h with g inp^(-1)(0)g \in p^{-1}(0) and h in p(K)quad(g(x)=f(a)h \in p(K) \quad(g(x)=f(a) and h(x)=f(x)-f(a)h(x)=f(x)-f(a) for all x in[a,b])x \in[a, b]).
In Examples 1d) and e), the subspace MM is KK-Chebyshevian and K=KerP_(M∣K)o+p(K)K=\operatorname{Ker} P_{M \mid K} \oplus p(K). The following corollary shows that this is a general property of KK-Chebyshevian subspaces.
COROLLARY 1. Let KK be a closed convex cone in the normed space XX and MM a K-Chebyshevian subspace of XX. If there exist two closed convex cones C sub KerP_(M∣K)C \subset \operatorname{Ker} P_{M \mid K} and U sub MU \subset M such that K=C o+UK=C \oplus U, then C=KerP_(M∣K)C=\operatorname{Ker} P_{\mathrm{M} \mid \mathrm{K}} and U=p(K)U=\mathrm{p}(\mathrm{K}) where p:K rarr Mp: K \rightarrow M is the only selection associated to the metric projection P_(M∣K)P_{M \mid K}.
Proof. Since C sub KerP_(M∣K)C \subset \operatorname{Ker} P_{M \mid K} it remains to show that KerP_(M∣K)sub C\operatorname{Ker} P_{M \mid K} \subset C. Let x in KerP_(M∣K)x \in \operatorname{Ker} P_{M \mid K} and let y in C,z in Uy \in C, z \in U be such that x=y+zx=y+z. By Theorem A^(')A^{\prime} the selection pp is given by p(x)=zp(x)=z and by the additivity of pp.
0=p(x)=p(y)+p(z)=0+z=z0=p(x)=p(y)+p(z)=0+z=z
implying x=y in Cx=y \in C. The equality U=p(K)U=p(K) follows also from Theorem A^(')\mathrm{A}^{\prime}.
A partial converse of Corollary 1 is also true:
Corollary 2. Let MM be a closed subspace of the normed space XX and KK a closed convex cone in XX. If K=KerP_(M∣K)o+MK=\operatorname{Ker} P_{M \mid K} \oplus M then the subspace MM is KK Chebyshevian and the only selection associated to the metric projection is continuous, positively homogeneous and additive on KK.
Proof. First we prove that P_(M∣K)(y)={0}P_{M \mid K}(y)=\{0\} for every y in KerP_(M∣K)y \in \operatorname{Ker} P_{M \mid K}. Indeed, y in KerP_(M∣K)y \in \operatorname{Ker} P_{M \mid K} is equivalent to 0in KerP_(M∣K)(y)0 \in \operatorname{Ker} P_{M \mid K}(y). If z in KerP_(M∣K)(y)z \in \operatorname{Ker} P_{M \mid K}(y) then, taking into account the fact that MM is a subspace of XX and z in Mz \in M, we obtain
{:[||y-z||=i n f{||y-m||:m in M}=],[=i n f{||y-z-m^(')||:m^(')in M}=d(y-z","M)]:}\begin{aligned}
\|y-z\| & =\inf \{\|y-m\|: m \in M\}= \\
& =\inf \left\{\left\|y-z-m^{\prime}\right\|: m^{\prime} \in M\right\}=d(y-z, M)
\end{aligned}
showing that 0inP_(M∣K)(y-z)0 \in P_{M \mid K}(y-z) or, equivalently, y-z in KerP_(M∣K)y-z \in \operatorname{Ker} P_{M \mid K}. But then yy admits two representations y=y+0y=y+0 and y=(y-z)+zy=(y-z)+z, with y,y-z in KerP_(M∣K)y, y-z \in \operatorname{Ker} P_{M \mid K} and 0,z in M0, z \in M. The unicity of this representation implies z=0z=0.
Now, writing an arbitrary element x in Kx \in K in the form x=y+zx=y+z, with y in KerP_(M∣K)y \in \operatorname{Ker} P_{M \mid K} and z in Mz \in M, we obtain
P_(M∣K)((x_(1),x_(2)))={(m,0):x_(1)-x_(2) <= m <= x_(1)+x_(2)}," for "(x_(1),x_(2))in K.P_{M \mid K}\left(\left(x_{1}, x_{2}\right)\right)=\left\{(m, 0): x_{1}-x_{2} \leq m \leq x_{1}+x_{2}\right\}, \text { for }\left(x_{1}, x_{2}\right) \in K .
Indeed, x_(1)-x_(2) <= m <= x_(1)+x_(2)x_{1}-x_{2} \leq m \leq x_{1}+x_{2} is equivalent to |x_(1)-m| <= x_(2)\left|x_{1}-m\right| \leq x_{2}, implying
showing that d((x_(1),x_(2)),M)=x_(2)\mathrm{d}\left(\left(\mathrm{x}_{1}, x_{2}\right), M\right)=x_{2} and (m,0)inP_(M∣K)((x_(1),x_(2)))(m, 0) \in P_{M \mid K}\left(\left(x_{1}, x_{2}\right)\right) if and only if m in Rm \in R verifies the inequality |x_(1)-m| <= x_(2)\left|x_{1}-m\right| \leq x_{2}.
and K=C o+MK=C \oplus M, where C={(0,x_(2)):x_(2) >= 0}C=\left\{\left(0, x_{2}\right): x_{2} \geq 0\right\} is a closed convex cone strictly contained in KerP_(M∣K)\operatorname{Ker} P_{M \mid K}.
REFERENCES
E. W. Cheney and D. E. Wulbert, The Existence and Unicity of Best Approximations, Math. Scand. 24(1969), 113-140.
F. Deutsch, Linear Selections for the Metric Projection, J. Funct. Anal. 49(1983), 269-292.
F. Deutsch, Wu Li, Sung-Ho Park. Characterizations of Continuous and Lipschitz Contimous Metric Selections in Normed Linear Spaces, J.A.T. 58(1989), 297-314.
C. Mustăta, On the Selections Associated to the Metric Projections, Revue d'Analyse Numérique et de Theorie l'Approximation 23 (1)(1994), 89-93.
Received 3 VIII 1994
Academia Românã
Institutul de Calcul
"Tiberiu Popovicin"
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