On the extension of semi-Lipschitz functions on asymmetric normed spaces

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.

PDF

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.

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) },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 ) },x X, ε > 0; (3) The topology τ generated by the open balls B (x, ε)= {z X : p s (x - z ) } = 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 yY {f (y)+ Kp (x - y)} , x X, G p (f )(x) = sup yY {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 yY {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 yY {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 .
Analogously, we obtain ||G p (f ) | p ≤ ||f | p , and consequently ||G p (f ) | p = ||f | p = ||F p (f ) | p . d) Let g p-SLipX such that g| Y = f , and ||g| p = ||f | p . For every y Y and x X we have f (y) - g (x)= g (y) - g (x) ≤ ||g| p p (y - x) , and then f (y) - ||g| p p (y - x) g (x) . Taking the supremum with respect to y Y we obtain G p (f )(x) g (x) , for every x X. Analogously, g (x) - f (y)= g (x) - g (y) ≤ ||g| p p (x - y)= ||f | p p (x - y) , implies g (x) f (y)+ ||f | p p (x - y) and taking the infimum with respect to y Y, it follows g (x) F p (f )(x) , for every x X. Remarks. 1) In Proposition 4 the condition “Y is a (p, p)-bounded set ” is not necessary. Indeed, for a nonvoid set Y and f p-SLipY , the functions F p (f ) and G p (f ) are well defined. For this, let y 0 Y and x X. For every y Y, f (y)+ ||f | p p (x - y)= f (y 0 )+ ||f | p p (x - y) - (f (y 0 ) - f (y)) f (y 0 )+ ||f | p [p (x - y) - p (y 0 - y)] = f (y 0 ) - ||f | p [p (y 0 - y) - p (x - y)]. But p (y 0 - y) - p (x - y) p (y 0 - x)= p (x - y 0 ) , and then the set {f (y)+ ||f | p p (x - y): y Y } is bounded below and there exists F p (f )(x) = inf yY {f (y)+ ||f | p p (x - y)}, for every x X. Analogously, the function G p (f )(x) = sup yY {f (y) - ||f | p p (y - x)} is well defined for every x X. 2) A proposition similar to Proposition 4 is valid for the functions of cone ¯ p-SLipY . 3) For f p-SLipY (f ¯ p-SLipY ) let E p (f,Y )= {g p-SLipX : g| Y = f and ||g| p = ||f | p },
and respectively E p (f,Y )= {h ¯ p-SLipX : h| Y = f and ||h| p = ||f | p }, the sets of extensions preserving the asymmetric seminorms ||f | p (respectively ||f | p ). We have the following inclusions: E p (f,Y ) S + (0, ||f | p )= {g p-SLipX : g| p = ||f | p }, E p (f,Y ) S - (0, ||f | p )= {h ¯ p-SLipX : ||h| p = ||f | p }. 4) By Theorem of McShane [6], for every f p s -SLipY there exists F p s -SLipX , such that F | Y = f and ||F || = ||f ||, where ||f || is defined by formulas (6) and ||F || analogously. Denote by E p s (f,Y )= {F p s -SLipX : F | Y = f and ||F || = ||f ||}, the set of all extensions of f p s -SLipY preserving the Lipschitz constant ||f ||. By Proposition 1, if f p-SLipY , then f p s -SLipY and because ||f | p ||f ||, it follows that F p (f )(x) F (f )(x) , x X, where F (f )(x) = inf yY {f (y)+ ||f || p s (x - y)}. If f ¯ p-SLipY , then -f p-SLipY and F p (-f )(x) F (-f )(x) ,x X. But F p (-f )(x) = inf yY {-f (y)+ || - f | p p (x - y)} = - sup yY {f (y) - || - f | p p (x - y)} = - sup yY {f (y) - || - f | p p (x - y)} = -G p (f )(x) , for every x X. Analogously, if f p-SLipY , then -f ¯ p-SLipY , and F p (-f )(x)= -G p (f )(x) , x X. If G (f )(x) = sup yY {f (y) - || - f || p s (x - y)}, then F (-f )(x)= -G (f )(x) , x X, and then -G p (f )(x) ≤-G (f )(x) , and G (f )(x) G p (f )(x) , x X.
It follows that, if f p-SLipY , then G (f ) G p (f ) F p (f ) F (f ) on X, and for f ¯ p-SLipY , G (f ) G p (f ) F p (f ) F (f ) on X. 5) Let Y be a subspace of asymmetric normed space (X, p) and let ϕ 0 a bounded linear functional ϕ 0 Y b p . By Proposition 3.1 [4] there exists ϕ X b p such that ϕ| Y = ϕ 0 and ||ϕ| p = ||ϕ 0 | p . Let E p (ϕ 0 )= {ϕ X b p : ϕ| Y = ϕ 0 and ||ϕ| p = ||ϕ 0 | p } be the set of all extensions of ϕ 0 which preserves the asymmetric norm ||ϕ 0 | p . In this case Y b p p-SLip 0 Y and for every ϕ E p (ϕ 0 ) the following inequal- ities hold: G p (ϕ)(x) ϕ (x) F p (ϕ)(x) , x X. If ϕ 0 Y b p but ϕ 0 / Y b p , then ϕ 0 B + (0,r) =(-∞,r||ϕ 0 | p ), r> 0. If ψ 0 Y b p but ψ 0 / Y b p, , then ψ 0 ( B - (0,r) ) =(-∞,r||ψ 0 | p ), r> 0. If ϕ Y b p Y b p, , then ϕ B + (0,r) =(-r||ϕ| p ,r||ϕ| p ), r> 0, ϕ ( B - (0,r) ) =(-r||ϕ| p ,r||ϕ| p ), r> 0. Example 1. [11] (see also [9]) Let (R,u) be the asymmetric normed space with u (a) = max {a, 0},a R. Then u (a) = max{-a, 0} and u s (a)= |a|,a R. Let Y =[-1, 2] and f : Y R , f (y)=4y - y 2 . Because f (y 1 ) - f (y 2 ) 6 max{y 1 - y 2 , 0} for all y 1 ,y 2 [-1, 2], it follows that f ¯ u-SLipY and ||f | u = 6. Then the functions F u (f )(x)= -5, x (-∞, -1), 4x - x 2 , x [-1, 2], 6x - 8, x (2, ) and G u (f )(x)= 6x +1, x (-∞, -1), 4x - x 2 , x [-1, 2], 4, x (2, ) are the maximal and minimal extensions of f on (R,u) with the asymmetric norms ||F u (f ) | u = ||G u (f ) | u = ||f || u =6.
If one considers the normed space (R,u s ) , then the functions F (f )(x)= inf y[-1,2] {f (y)+6|x - y|}, x R, G (f )(x)= sup y[-1,2] {f (y)+6|x - y|}, x R are Lipschtiz extensions for f and G (f )(x) G u (f )(x) F u (f )(x) F (f )(x) , x R. 4. APPLICATION Let (X, p) be an asymetric normed space, and p s -SLip 0 X the normed space of all p s -Lipschitz real functions on X, vanishing at 0 X, with the norm defined by (6). If Y is a subset of X with 0 Y let also the normed space p s -SLip 0 Y , with the norm · . By the McShane theorem [6] for every f p s -SLip 0 Y there exists at least one function F p s -SLip 0 X such that F | Y = f and F = f . Let also Y = {G p s -SLip 0 X : G| Y =0} , the annihilator of Y with respect to p s -SLip 0 X . Consider the following best approximation problem: for F p s -SLip 0 X , find an element G 0 Y such that F - G 0 = d(F,Y ) = inf F - G: G Y . An element G 0 Y such that the above infimum is attained is called best approximation element for F in Y . If every F p s -SLip 0 X has at least a best approximation element, then Y is called proximinal. The following result appears in [7] (see also [8]). Proposition 5. In the above notations, the following properties hold: (a) d(F,Y )= F | Y , F p s -SLip 0 X ; (b) the set of all best approximation elements of F in Y is F -E p s (F | Y ,Y ), where E p s (F | Y ,Y )= H p s -SLip 0 X : H | Y = F | Y and H = F | Y . Proof. (a) Let F p s -SLip 0 Y . Then for every G Y , F | Y = F | Y - G| Y ≤F - G, and taking the infimum with respect to G Y one obtains F | Y ≤ d(F,Y ). For F | Y , by the McShane theorem [6], there exists H E p s (F | Y ,Y ) such that F | Y = H | Y and H = F | Y . Then F | Y = F - (F - H )≥ d(F,Y ).
(b) Obviously, for every best approximation element G 0 of F in Y , (F - G 0 )| Y = F | Y and F - G 0 = F | Y . It follows that F - G 0 F - E p s (F | Y ,Y ), and so G 0 F - E p s (F | Y ,Y ). Let now G 0 F - E p s (F | Y ,Y ). Then there exists H E p s (F | Y ,Y ) such that G 0 = F - H. But then F - G 0 = H = F | Y = d(F,Y ). Remark 2. If F ¯ p-SLip 0 X then F = F | p and F | Y p-SLip 0 Y , F | Y = F | Y | p = - F | Y | ¯ p . It then follows d(F,Y )= d(-F,Y )= F | Y | p , F p-SLip 0 X. REFERENCES [1] Mennucci, Andrea C.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 and its 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 asymmetric norm, Quaest. Math., 27, no. 3, pp. 275–296, 2004. [4] Cobzas, S. and Must˘ at¸a, 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 of an 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] Must˘ at¸a, 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] Must˘ at¸a, C., Best approximation and unique extension of Lipschitz functions, J. Ap- prox. Theory, 19, no. 3, pp. 222–230, 1977. [9] Must˘ at¸a, C., Extension of H¨ older functions and some related problems of best ap- proximation, “Babe¸s-Bolyai” University, Faculty of Mathematics, Research Seminar on Mathematical Analysis, no. 7, pp. 71–86, 1991. [10] Must˘ at¸a, C., Extension of semi-Lipschitz functions on quasi-metric spaces, Rev. Anal. Numer. Theor. Approx., 30, no. 1, pp. 61–67, 2001. [11] Must˘ at¸a, 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-nd Interantional Symposium dedicated to memory of Prof. Gaetano Fichera (1922–1996). Roma: Dipartimento di Matematica Univ. di Roma (ISBN 88-7999-264-X), pp. 221–234 2000, Ricci, PaoloEmilio (Ed.) [13] Romaguerra, S. and Sanchis, M., Semi-Lipschitz functions and best approximation in quasi-metric spaces, J. Approx. Theory, 103, pp. 292–301, 2000. Received by the editors: March 28, 2005.
2005

Related Posts