Abstract
Extension theorems for semi-Lipschitz functions and some proper- ties of these extensions useful in approximation problems are presented. As illustration, a such problem is considered.
Authors
Costică Mustăţa
“Tiberiu Popoviciu” Institute of Numerical Analysis, Romanian Academy, Romania
Keywords
Spaces with asymmetric seminorm; semi-Lipschitz function; extension and approximation.
Paper coordinates
C. Mustăţa, On the extension of semi-Lipschitz functions on asymmetric normed spaces, Rev. Anal. Numer. Theor. Approx. 34 (2005) no. 2 , 139-150.
About this paper
Journal
Revue d’Analyse Numer. Theor. Approx.
Publisher Name
Publishing House of the Romanian Academy
Print ISSN
2501-059X
Online ISSN
2457-6794
google scholar link
[1] Mennucci, AndreaC.G.,On asymmetric distances, preprint, sept. 21, 2004(www.scirus.com).
[2] Borodin, P.A.,The Banach-Mazur theorem for spaces with an asymmetric norm andits applications in convex analysis, Mat. Zametki,69, no. 3, pp. 193–217, 2001.
[3] Cobzas, S.,Separation of convex sets and best approximation in spaces with asymmetricnorm, Quaest. Math.,27, no. 3, pp. 275–296, 2004.
[4] Cobzas, S. andMustata, C.,Extension of bouned linear functionals and best approx-imation in spaces with asymmetric norm, Rev. Anal. Numer. Theor. Approx.,33, no.1, pp. 39–50, 2004.
[5] Garcia-Raffi, L.M.,Romaguera, S. and Sanchez-Perez, E.A.,The dual space ofan asymmetric normed linear space, Quaest. Math.,26, no. 1, pp. 83–96, 2003.
[6] McShane, E.J.,Extension of range of functions, Bull. Amer. Math. Soc.,40, pp. 837–842, 1934.
[7] Mustata, C.,On a chebyshevian subspace of normed linear space of Lipschitz func-tions, Rev. Anal. Numer. Teoria Aproximat ̧iei,2, pp. 81–87, 1973 (in Romanian).
[8] Mustata, C.,Best approximation and unique extension of Lipschitz functions, J. Ap-prox. Theory,19, no. 3, pp. 222–230, 1977.
[9] Mustata, C.,Extension of Holder functions and some related problems of best ap-proximation, “Babe ̧s-Bolyai” University, Faculty of Mathematics,Research Seminar onMathematical Analysis, no. 7, pp. 71–86, 1991.
[10] Mustata, C.,Extension of semi-Lipschitz functions on quasi-metric spaces, Rev. Anal.Numer. Theor. Approx.,30, no. 1, pp. 61–67, 2001.
[11] Mustata, C.,The approximation of the global maximum of a semi-Lipschitz function(submitted).
[12] Leonardi, S., Passarelli di Napoli, A.and Carlo Sbordone,On Fichera’s ex-istence principle in functional analysis and mathematical Physiscs, Papers of the 2-ndInterantional Symposium dedicated to memory of Prof. Gaetano Fichera (1922–1996).Roma: Dipartimento di Matematica Univ. di Roma (ISBN 88-7999-264-X), pp. 221–2342000, Ricci, PaoloEmilio (Ed.)
[13] Romaguerra, S. and Sanchis, M.,Semi-Lipschitz functions and best approximationin quasi-metric spaces, J. Approx. Theory,103, pp. 292–301, 2000.
[2] Borodin, P.A.,The Banach-Mazur theorem for spaces with an asymmetric norm andits applications in convex analysis, Mat. Zametki,69, no. 3, pp. 193–217, 2001.
[3] Cobzas, S.,Separation of convex sets and best approximation in spaces with asymmetricnorm, Quaest. Math.,27, no. 3, pp. 275–296, 2004.
[4] Cobzas, S. andMustata, C.,Extension of bouned linear functionals and best approx-imation in spaces with asymmetric norm, Rev. Anal. Numer. Theor. Approx.,33, no.1, pp. 39–50, 2004.
[5] Garcia-Raffi, L.M.,Romaguera, S. and Sanchez-Perez, E.A.,The dual space ofan asymmetric normed linear space, Quaest. Math.,26, no. 1, pp. 83–96, 2003.
[6] McShane, E.J.,Extension of range of functions, Bull. Amer. Math. Soc.,40, pp. 837–842, 1934.
[7] Mustata, C.,On a chebyshevian subspace of normed linear space of Lipschitz func-tions, Rev. Anal. Numer. Teoria Aproximat ̧iei,2, pp. 81–87, 1973 (in Romanian).
[8] Mustata, C.,Best approximation and unique extension of Lipschitz functions, J. Ap-prox. Theory,19, no. 3, pp. 222–230, 1977.
[9] Mustata, C.,Extension of Holder functions and some related problems of best ap-proximation, “Babe ̧s-Bolyai” University, Faculty of Mathematics,Research Seminar onMathematical Analysis, no. 7, pp. 71–86, 1991.
[10] Mustata, C.,Extension of semi-Lipschitz functions on quasi-metric spaces, Rev. Anal.Numer. Theor. Approx.,30, no. 1, pp. 61–67, 2001.
[11] Mustata, C.,The approximation of the global maximum of a semi-Lipschitz function(submitted).
[12] Leonardi, S., Passarelli di Napoli, A.and Carlo Sbordone,On Fichera’s ex-istence principle in functional analysis and mathematical Physiscs, Papers of the 2-ndInterantional Symposium dedicated to memory of Prof. Gaetano Fichera (1922–1996).Roma: Dipartimento di Matematica Univ. di Roma (ISBN 88-7999-264-X), pp. 221–2342000, Ricci, PaoloEmilio (Ed.)
[13] Romaguerra, S. and Sanchis, M.,Semi-Lipschitz functions and best approximationin quasi-metric spaces, J. Approx. Theory,103, pp. 292–301, 2000.
Paper (preprint) in HTML form
ON THE EXTENSION OF SEMI-LIPSCHITZ FUNCTIONS
ON ASYMMETRIC NORMED SPACES
COSTIC
˘
A MUST
˘
AT¸A
*
Abstract. Extension theorems for semi-Lipschitz functions and some proper-
ties of these extensions useful in approximation problems are presented. As
illustration, a such problem is considered.
MSC 2000. 46A22, 26A16,41A50.
Keywords. Spaces with asymmetric seminorm, semi-Lipschitz function, exten-
sion and approximation.
1. PRELIMINARIES
Let X be a real linear space. A function p : X → [0, ∞) is called an
asymmetric seminorm [2] if the following conditions hold for all x, y ∈ X :
p (x) ≥ 0, (AN1)
p(tx)= tp (x) , t ≥ 0, (AN2)
p (x + y) ≤ p (x)+ p (y) . (AN3)
The function p : X → [0, ∞) defined by p (x)= p (-x) ,x ∈ X, is also an
asymmetric seminorm on X, called the conjugate seminorm to p. The func-
tional
p
s
(x) = max{p (x) ,p (-x)}, x ∈ X,
is a seminorm on X. If p
s
is a norm on X, then p is called an asymmetric
norm. The term “asymmetric” is motivated by the fact that it is possible that
p (x) = p (-x) for some x ∈ X.
A pair (X, p) where X is a real linear space and p an asymmetric seminorm
on X, is called an asymmetric seminormed space, respectively asymmetric
normed space if p is an asymmetric norm on X. Some properties of such
spaces are given in [3], [4], and the references therein.
An example is the following: let R be the set of the real numbers and u :
R → [0, ∞), u (a) = max{a, 0},a ∈ R. Then the function u is an asymmetric
norm on R. The conjugate u : R → [0, ∞), u (a)= u (-a) ,a ∈ R, is another
*
“T. Popoviciu” Institute of Numerical Analysis, P.O. Box 68-1, Cluj-Napoca, Romania,
e-mail: cmustata@ictp.acad.ro.
asymmetric norm on R, because the function u
s
(a) = max {u(a),u(-a)} = |a| ,
a ∈ R, is a norm on R (see [4], [5]).
If (X, p) is an asymmetric seminormed space, one considers the following
topologies on X :
(1) The topology τ
p
generated by the families of forward open balls
B
+
(x, ε)= {z ∈ X : p (z - x) <ε},x ∈ X, ε > 0;
(2) The topology τ
p
generated by the families of backward open balls
B
-
(x, ε)= {z ∈ X : p (x - z ) <ε},x ∈ X, ε > 0;
(3) The topology τ generated by the open balls B (x, ε)= {z ∈ X :
p
s
(x - z ) <ε} = B
+
(x, ε) ∩ B
-
(x, ε) ,x ∈ X, ε > 0.
For details on these topologies, see [1] and [3].
2. THE CONES OF SEMI-LIPSCHITZ FUNCTIONS
Let (X, p) be an asymmetric seminormed space and Y a subset of X. A
function f : Y → R is called p-semi-Lipschitz if there exists a constant K ≥ 0
such that
(1) f (u) - f (v) ≤ Kp (u - v) ,
for all u, v ∈ X, (see [13]). Observe that a p-semi-Lipschitz function is upper
semicontinuous.
The set of all p-semi-Lipschitz functions on Y is denoted by symbol p-SLipY ,
i.e.
(2) p-SLipY := {f : Y → R,f is p-semi-Lipschitz}.
If f ∈p-SLipY , then the nonnegative number
(3) ||f |
p
= sup
(f (u)-f (v))∨0
p(u-v)
: u, v ∈ Y,p (u - v) > 0
is the smallest p-semi-Lipschitz constant for F, i.e. the following inequality
holds:
f (u) - f (v) ≤ ||f |
p
p (u - v) ,
for all u, v ∈ Y (see [10]).
The set p-SLipY is closed with respect to pointwise addition of functions,
and with respect to multiplication of a function by nonnegative scalar, i.e.
p-SLipY is a cone.
The functional ||·|
p
: p-SLipY → [0, ∞) defined by (3) verifies the properties
(AN 1)–(AN 3) of an asymmetric seminorm.
Analogously, a function f : Y → R is called p-semi-Lipschitz if there exists
Q ≥ 0 such that
(4) f (u) - f (v) ≤ Q ¯ p (u - v)= Qp (v - u) ,
for all u, v ∈ Y.
The smallest constant Q in (4) is denoted by ||f |
p
and the set of all p-
semi-Lipschitz functions on Y is denoted by symbol ¯ p-SLipY . The functional
|| · |
p
:¯ p-SLipY → [0, ∞) defined by an expression analogue with (3) is an
asymmetric norm on the cone ¯ p-SLipY .
The function f : Y → R is called p
s
-Lipschitz if there exits M ≥ 0 such
that
(5) |f (u) - f (v) |≤ Mp
s
(u - v) ,
for all u, v ∈ Y.
The set of all p
s
-Lipschitz functions on Y is denoted by symbol p
s
-SLipY .
With respect to pointwise addition of functions and multiplication of functions
by real numbers, the set p
s
-SLipY is a linear space.
The functional · :p
s
-SLipY → [0, ∞),
(6) f = sup
|f (u)-f (v)|
p
s
(u-v)
: u, v ∈ Y,p
s
(u - v) > 0
is a seminorm on linear space p
s
-SLipY .
Proposition 1. Let (X, p) be an asymmetric seminormed space and Y a
subset of X . Then
a) The sets p-SLipY and ¯ p-SLipY are convex cones in the space p
s
-SLipY ;
b) The function f is in p-SLipY if and only if -f is in ¯ p-SLipY . For
every f ∈p-SLipY , the following equality holds:
||f |
p
= || - f |
p
= f .
Proof. a) Let f in p-SLipY . Then
f (u) - f (v) ≤ ||f |
p
p (u - v) ≤ ||f |
p
p
s
(u - v) ,
for all u, v ∈ Y.
Changing the place of u and v, we obtain
f (v) - f (u) ≤ ||f |
p
p (v - u)= ||f |
p
p (u - v) ≤ ||f |
p
p
s
(u - v) ,
for all u, v ∈ Y. It follows that
|f (u) - f (v)| ≤ ||f |
p
p
s
(u - v) ,
for all u, v ∈ Y. Consequently f ∈p
s
-SLipY (and f = ||f |
p
).
If f ∈ ¯ p-SLipY , one obtains
|f (u) - f (v)| ≤ ||f |
p
p
s
(u - v) ,
for all u, v ∈ Y, i.e. f ∈ ¯ p-SLipY , (it follows f = ||f |
p
).
b) Let f ∈p-SLipY . By f (u) - f (v) ≤ ||f |
p
p (u - v), for all u, v ∈ Y, it
follows
(-f )(v) - (-f )(u) ≤ ||f |
p
p (u - v)= ||f |
p
p (v - u) ,
and then -f ∈ ¯ p-SLipY . Moreover, it follows that ||- f |
p
≤ ||f |
p
. Analogously,
f ∈ ¯ p-SLipY implies
(-f )(v) - (-f )(u) ≤ ||f |
p
p (u - v)= ||f |
p
p (v - u) ,
for all u, v ∈ Y. Consequently -f ∈p-SLipY and || - f |
p
≤ ||f |
p
.
Observe that for f ∈p-SLipY ,
||f |
p
= || - (-f ) |
p
≤ || - f |
p
,
and for f ∈ ¯ p-SLipY , one obtains
||f |
p
= || - (-f ) |
p
≤ || - f |
p
.
Finally, it follows
||f |
p
= || - f |
p
, ∀f ∈ p-SLipY,
and
||f |
p
= || - f |
p
, ∀f ∈ ¯ p-SLipY.
Remarks. 1) By Proposition 1, a) it follows that for f ∈p-SLipY ,
(g ∈ ¯ p-SLipY ) one obtains ||f |
p
= f , (respectively ||g|
p
= g) and con-
sequently
f ∈ p-SLipY ∩ ¯ p-SLipY ⇒ ||f |
p
= ||f |
p
= f .
2) Let y
0
be a fixed element in Y. Denote
p
s
-SLip
0
Y := {f ∈ p
s
-LipY,f (y
0
)=0} ,
p-SLip
0
Y := {f ∈ p-SLipY,f (y
0
)=0} ,
¯ p-SLip
0
Y := {f ∈ ¯ p-SLipY,f (y
0
)=0} .
If f ∈p
s
-SLip
0
Y , then f = 0 implies f ≡ 0. It follows that f ∈ p-SLip
0
Y ∩
¯ p-SLip
0
Y implies f ≡ 0 and ||f |
p
, ||f |
p
are asymmetric norms on p-SLip
0
Y
and ¯ p-SLip
0
Y respectively.
3) Let Y be a subspace of asymmetric normed space (X, p) and ϕ : Y → R
a linear functional. If (R,u) is the asymmetric normed space with asymmetric
norm u (a) = max{a, 0},a ∈ R and τ
u
is the topology associated to u, then
the functional ϕ : Y → R is called (p, u)-continuous if it is continuous in the
topologies τ
p
and τ
u
.
The linear functional ϕ 🙁Y,p) → (R,u) is called p-bounded if there exists
L ≥ 0 such that
ϕ (y) ≤ Lp (y) ,
for every y ∈ Y.
The functional ϕ 🙁Y,p) → (R,u) is (p, u)-continuous if and only if ϕ is
p-bounded, (see [4]).
Every p-bounded linear functional on Y is p-semi-Lipschitz on Y.
Denote by Y
b
p
the set of all p-bounded functionals on Y. Then Y
b
p
⊂p-SLip
0
Y
(here y
0
= 0), and for ϕ ∈ Y
b
p
,
(7) ||ϕ|
p
= sup
y=0
ϕ (y)
p (y)
= sup {ϕ (y): y ∈ Y,p (y) ≤ 1} .
The functional || · |
p
: Y
b
p
→ [0, ∞) defined by (7) is an asymmetric norm, and
the pair
Y
b
p
, || · |
p
is called asymmetric dual cone of (Y,p) [5].
3. EXTENSION RESULTS
Let Y be a subset of asymmetric normed space (X, p) . The function f :
Y → R is called bounded on Y if there exists the numbers m, M ∈ R such that
m ≤ f (y) ≤ M,
for every y ∈ Y.
Proposition 2. Let (X, p) be an asymmetric normed space, Y a subset of
X and f : Y → R a bounded function. Let also K ≥ 0 be arbitrary, but fixed.
Then the functions F
p
(f ) ,G
p
(f ): X → R defined by the formulas
F
p
(f )(x) = inf
y∈Y
{f (y)+ Kp (x - y)} , x ∈ X,
G
p
(f )(x) = sup
y∈Y
{f (y) - Kp (y - x)} , x ∈ X,
satisfy the following relations:
F
p
(f )(y) ≤ f (y) ≤ G
p
(f )(y) , ∀y ∈ Y, (a)
F
p
(f )(x
1
) - F
p
(f )(x
2
) ≤ Kp (x
1
- x
2
) , ∀x
1
,x
2
∈ X, (b)
G
p
(f )(x
1
) - G
p
(f )(x
2
) ≤ Kp (x
1
- x
2
) , ∀x
1
,x
2
∈ X. (c)
Proof. Let f : Y → R and m, M ∈ R such that m ≤ f (y) ≤ M for every
y ∈ Y. It follows
m ≤ f (y)+ Kp (x - y) , ∀y ∈ Y, ∀x ∈ X,
and
M ≥ f (y) - Kp (y - x) , ∀y ∈ Y, ∀x ∈ X.
Consequently, the set {f (y)+ Kp (x - y) | y ∈ Y } is bounded from below for
every x ∈ X and the set {f (y) - Kp (y - x) |y ∈ Y } is bounded from above
for every x ∈ X. Then the functions F
p
(f ) and G
p
(f ) are well defined on X.
a) Let y
0
∈ Y be fixed. For every x ∈ X,
inf
y∈Y
{f (y)+ Kp (x - y)}≤ f (y
0
)+ Kp (x - y
0
) ,
and for x = y
0
it follows that
F
p
(f )(y
0
) ≤ f (y
0
) .
Analogously,
sup
y∈Y
{f (y) - Kp (y - x)}≥ f (y
0
) - Kp (y
0
- x) ,
and for x = y
0
, we obtain
f (y
0
) ≤ G
p
(f )(y
0
) .
Because y
0
is arbitrary in Y it follows that
F
p
(f )(y) ≤ f (y) ≤ G
p
(f )(y),
for every y ∈ Y.
b) Let x
1
,x
2
∈ X. Because for every y ∈ Y we have
0 ≤ p (x
1
- y)
= p (x
1
- x
2
+ x
2
- y)
≤ p (x
1
- x
2
)+ p (x
2
- y) ,
it follows the inequality
f (y)+ Kp (x
1
- y) ≤ f (y)+ Kp (x
1
- x
2
)+ Kp (x
2
- y) ,
and taking the infimum with respect to y ∈ Y one obtain
F
p
(f )(x
1
) ≤ F
p
(f )(x
2
)+ Kp (x
1
- x
2
) .
Then
F
p
(f )(x
1
) - F
p
(f )(x
2
) ≤ Kp (x
1
- x
2
) ,
for every x
1
,x
2
∈ X.
c) Using the inequalities
0 ≤ p (y - x
2
)= p (y - x
1
+ x
1
- x
2
) ≤
≤ p (y - x
1
)+ p (x
1
- x
2
) ,
one obtains
f (y) - Kp (y - x
2
) ≥ f (y) - Kp (y - x
1
) - Kp (x
1
- x
2
)
and taking the supremum with respect to y ∈ Y we obtain
G
p
(f )(x
1
) - G
p
(f )(x
2
) ≤ Kp (x
1
- x
2
) .
A subset Y of an asymmetric normed space (X, p) is called p-bounded,( p-
bounded ) if there exists M ≥ 0(Q ≥ 0) such that
p (u - v) ≤ M ( p (u - v) ≤ Q) ,
for all u, v ∈ Y.
The set Y is called (p, p)-bounded if it is both p-bounded and p-bounded.
Proposition 3. If Y is a (p, p)-bounded set of an asymmetric normed space
(X, p) and f ∈p-SLipY , then f is bounded.
Proof. Let y
0
∈ Y be fixed. For every y ∈ Y, f (y) -f (y
0
) ≤ ||f |
p
p (y - y
0
) ,
implies f (y) ≤ f (y
0
)+ ||f |
p
p (y - y
0
) .
Analogously,
f (y
0
) - f (y) ≤ ||f |
p
p (y
0
- y)= ||f |
p
¯ p (y - y
0
) ,
for every y ∈ Y. Then
f (y
0
) - ||f |
p
p (y - y
0
) ≤ f (y) ≤ f (y
0
)+ ||f |
p
p (y - y
0
) ,
and because Y is (p, p) -bounded, it follows that f is bounded.
Remark 1. By Proposition 1, it follows that every g ∈ ¯ p-SLipY is bounded,
if Y is (p, p)-bounded. For the symmetric case of Proposition 2, see [12].
Proposition 4. Let (X, p) be an asymmetric normed space, Y a (p, p)-
bounded subset of X and f ∈p-SLipY . Let ||f |
p
the smallest semi-Lipschitz
constant of f. Then the functions F
p
(f ) ,G
p
(f ): X → R defined as in Propo-
sition 2 with K = ||f |
p
satisfy the following properties:
a) G
p
(f )(x) ≤ F
p
(f )(x) ,x ∈ X,
b) G
p
(f )(y)= f (y)= F
p
(f )(y) ,y ∈ Y,
c) ||G
p
(f ) |
p
= ||f |
p
= ||G
p
(f ) |
p
,
d) If g : X → R and g ∈p-SLipX verifies g|
Y
= f and ||f |
p
= ||g|
p
,
then
G
p
(f )(x) ≤ g (x) ≤ F
p
(f )(x) ,
for every x ∈ X.
Proof. a) For Every u, v ∈ Y and x ∈ X, the following inequalities are
fulfilled:
f (u) - f (v) ≤ ||f |
p
p (u - v) ≤ ||f |
p
p (u - x)+ ||f |
p
p (x - v) .
Then
f (u) - ||f |
p
p (u - x) ≤ f (v)+ p (x - v) .
Taking the infimum with respect to v ∈ Y and then with respect to u ∈ Y, we
obtain
G
p
(f )(x) ≤ F
p
(f )(x) ,
for every x ∈ X.
b) It follows from Proposition 2 a), Proposition 3 and the previous inequality
of a).
c) The following inequalities are obvious:
||G
p
(f ) |
p
≥ ||f |
p
and ||F
p
(f ) |
p
≥ ||f |
p
.
Let now x
1
,x
2
∈ X and ε> 0. Selecting y ∈ Y such that
F
p
(f )(x
1
) ≥ f (y)+ ||f |
p
p (x
1
- y) - ε,
one obtains:
F
p
(f )(x
2
) - F
p
(f )(x
1
) ≤
≤ f (y)+ ||f |
p
p (x
2
- y) - (f (y)+ ||f |
p
p (x
1
- y) - ε)
= ||f |
p
[p (x
2
- y) - p (x
1
- y)] + ε
≤ ||f |
p
p (x
2
- x
1
)
(since p (x
2
- y) - p (x
1
- y) ≤ p (x
2
- x
1
) ⇐⇒ p (x
2
- y)= p(x
2
- x
1
+ x
1
-
y) ≤ p (x
2
- x
1
)+ p (x
1
- y)).
The number ε> 0 being arbitrarily chosen, it follows
F
p
(f )(x
2
) - F
p
(f )(x
1
) ≤ ||f |
p
p (x
2
- x
1
) ,
for all x
1
,x
2
∈ X, and then ||F
p
(f ) |
p
≤ ||f |
p
.