Cab Sdctlce Bullch m N 1001-4538 Copyrl#t by S c b e In China Prem [ SICP) , No. 16 D o n p t m & ~ e ~Nmth Strwt. Bellirq 100717. Chlna Edlted by !he Editprlel Oamlnee or C m Sclwos Bulktlh . P&lishsd twlce a m l h by SICP. Distributed IChirw m e l n l d l by SICP and lOmrssss) by World Sclsntillc Pllbllshlng Co Pld Lrd. P 053520, Tal Seng [ W t r l a l Estate. Singapwe 3 3 1 1 5 a Lipsc hitz continuity of best approximations and Chebyshev centers LI chong' and WANG xinghua2 1 Ce211erlor M a t h e r t i a r t c ~ Sclcnce*, l 2he)lang Uni\ersity. Hangzhou 310027, C h l n a ; 2 . Department of Mathematics. Hs~lgzhou Ln~rer+rty.Hangzhnu 3111028. China Ahrlrad The L r p ~ c h ~CDI:IIILU~~J. tt t e s d ~ 3~ Ipm P r p , c ~ r ~ ~by e dSCPI::CICI and VjrtL IS r given r for b e ~ appr0xirnd~i0n5 t and Chebphev centers. Consequently. the open prob- w l v e d completely. h s t spprmlmation. Chcbyshev center. untlorm mnvexlty. Kryu'nrds a subset in Bannrll space X, ond -4 be a bounded subset in X . An eiement g o € G 1s called a restricted Cl~ebysl~ev center of A with respect to G ~f sup,$ II a - go II = r, ( A ), where I-(; { A ) = ~ n f , +csup, E ,4 11 a - g 11 is the restricted Cliebyshcv radius of A with respect to G . ?-he set af all such go is denoted by PG( A ) . In particular, if A is a singleton r. as is known, go is called a hest appmxinlation ro x from G . Furthermore, u-e write r G ( A )= r ( A ) and PC;(.4) = P( A ) for G = 1. The study of the Chebysher center problem, which can bc dated back to at least 1962' ' I , has been deeply investigatedF2'3' and applied in different areas of mathematics such as continuous complexity and set-maps theory. On the continuity of Chebysl~evcenters, Theorem A was prored in reference [ a ] . Theorem A . Let X be a Hilbert space. Thcn for any rompact subsets A and 8 ,there l ~ a l d ~ LET C; be - < ( r ( A )+ r ( B ) h ( A . B ) ) h ( - 4 , I o , 11 P ( A ) - P ( B ) 11 (0.1) ~2Ilereh ( A , B 1 is the Hausdorff metric of A and B . Also they presented two open problems as follows. Problem 1 k e s ( 0 . 1 ) remain valid without the compact assumprion? Problem 2 . Is there a sharp estimate of ]I P ( A ) - P ( B ) [I similar to ( 0 . 1 ) In e uniformly convex Banach space? Problem 1 hx been solved in the affirmative by one of the authors'". For Problem 2 , Wang and s'u~'' gave the following estimate. Theorem B. Let X he n p-unifomdy cnnves Bni~achspace. Then there exists a constant c >0 such . that < 11 P ( A ) - P ( B ) 11 * c ( ( a + h ( A , B ) ) ' - p, (0.2) rI-41, r ( B ) l , j3=nlin/ r ( A ) , r ( E ) 1 . L'nfortunately, rullen X is a Hilbert space ( 0 . 2 ) does riot imply (0.1) because of constant c . Thus nacurai to ask whether there existi. a betrer estlmatc such that ( 0 . 2 ) gives ( 0 . 1 ) for Hilbert space wljrre a =rnaxl lr is X. I n the prrsent narc w e Iirsf i n r r o d ~ ~ ct he e concept of p-uniformly convexity on D with respect to G and give an esrirnnre inr operator PG(x ) of besr nppnlutnatton. Semndlv, we use the estimate to solve t h e a h w e problem cunlplrt +. I Lipschitz continuit) of b s l approximation Ler D be a convex rone. and 1 8 ( ~= ) i n f ,l - Then, for p 2 2 , Chinese j: .I, X + -. il xm i .?aid ~ Science Bulletin to C; hv ; l I ~ n r t l rsuhjpacc ~n X T E D, ilrr-yil = be p- uniformly convex on D Vol .43 N3.3 . E. For O < s < 2 define .r-yf G, ~ v i t respect l ~ to February 1998 IIsIi = IIyII = I . G if there exists cp >O such 185 that d?( E ) >c$ . Obviously, when, G = D = X. it is just the p-uniform Let (1.1) It follows from ref. [ 7 1 that X is p-uniformly convex on D with respect to G if and only ii ti, >0. Now we are ready to prorre the main theorem of this section. Theorem 1 . 3 . Suppose that is a clclsed convex subset in X and X is p-uniformly convex on D wit11 respect t o spanG. Then for any 6 , _v f D there holds (1.2) Proof. By induction, it folluws from ( 1 . I ) that for a:ly I, y € D, ;t -- y E spanG and any n = 1, 2 , 3 , ..- . Hence we 11;1vc (1.3) This implies The pr09f 15 con~pletrd. Remark 1 . l . .'Utlio~g!iTheorem 1. 1 study oi UleLpllev centers (see section 2 ) . 2 Lipschitz continuity of Chehj'sbev is verv h r e c t , it xvould be very helplu1 for applicatlot~to the centers & Let X be n p-uniformly convex Bnnacll space, and he the value oI cl, in ( 1 . 1 ) by taking D = G D be the set of all bounded convex clmed s u l s e ~ sin X,endowed ivirli the I4ausdorff rnct- = X'. .Ur)w let 186 Chinese Science Bullefin Vol 43 No. 3 February 1998 ricf-" . Define operations in D as ioIlows: A + B = ! a + 6: u E A , b E B t , ;cA = ] l a : a E A1 for any A , B f D and A >0. Then by ref. [ 81 , D can be embedded in a Bnnacll space ( E , such that for any A , B E I3 h ( A , B ) = I\ A - B II , and D is a convex cone in E under the above operattons. Clearly, E is p-uniformly convex on D with respect 10 X and 11 11 E) - >dp. O k m e PG( A ) = PG( COA1, ) . Tllus, using Theorem 1.1, we immediately obtain r G ( A = rG( COA Theorenl 2 . 1 . Theorem 2.1. Assume that li is a p-uniformly convex Banach space. Let G be a dosed convex subset in X . T l ~ e nfor any b u n d e d subset A , B in X , there holds 1 The folkawing theorenl shnws that the order - of 14 Fc ( A ) - P, (B)11 is best possible. 0 Theorem 2 . 2 . 1-et p 2 2 . If there exists a constant d >0 such that for any A , B D I[ P ( A ) - P ( B ) I[ d h (co.4, mB), then .Y iis p-uniforn~lyconvex. < Froor. F o r a n r , ~ > O a n d a n y x , > l f X ' w i t h IIJII = 1 1 !I y I I T11tr1 P ! A j =I), P ( B ) = -(s- y ) and h ( A , B ) = l -7 4 - 1 4'J This irnplle~r!l*t 6 ( E ) 2-E' If X is a Hilbert space, for p<2['" s+y I1 [IZ-~II = E , let . It follows from ( 2 . 2 ) that . Tl~eproof is completed. X 1 is 2-uniformly convex an? d : = 4 ' uniformly convex for p 2 2 and #<2, dl>, I!- =1, (2.2) If X is the L,-spaces, X is p - and 2- respecti\.ely.F u r t h e m u r e . in t l l i s case, d , = . Thus using Theorem 2.1. w e have , 1 2 for >3[q1 and the follr,i-:\rlg cornllar~es. Corollary 2 . 1 . Suppose that X is a Hilbert sp3ce a n d t h a t C I F a clrhierl convex subwt it] for any bounded subsets -4, 6 in X, 11 P c ( A ) - P ( ; ( B ) 11 ( r G ( A )+ r I ; ( R )+ h(ro.4. r o B ) ) h ( c o A . cc7E). Corollary 2 . 2 . Let X be the L,-spaces, 1< p < + K ,, and L; be a clo.;rd convex subser l a for any bounded s u b s ~ t sA , E in X , < Itemark 2 . 1 . Let us recall thar in a Hilbert space t h e r e lluld=[' < x.Thcn 17.3) x . Then ' (2.3) 1-r Y I I . f c , l - a r ~ ? . > .: i b f X Note Tileoren 2 . 2 . It is interesting to compare ( 2 . 4 ) rvit 11 ( 2 . 3 ) , wlljrh sllo.xs r h o r t h e r e i~ an evenrial I P I ) - P disti~ctionIxtwcer, approxin~ntionsand Cllebysher centcrb. Chinese Science Bulletin VoI, 4 3 No. 3 February 1998 187 This work was jointly supported by China Major Key Project Ior Basic Researcher and Nationd N a l u r a l k i e n c e Foundation of China, partly supported by Zhejimg Provincial Naturd Science Foundation, and China Postdoctoral Science FoundaAcknowledgement Lion. References . The b i s t possible net and the best pos5ible cross-.wc~ionof t set in normed space. Im.M o d . Xu. 5 . Y . 1.i. T,. . C.h?raiteriwtion of best simultaneous approximation, Actu M u t h . S i l ~ i c e ,1987, 30: 5 1 8 . Pai. P. R . . luowrajt. P . T . . On restrict& centers o[ sets. I . A p p m r . Theory, 1991, 66: 170. Szeptyck~. P. . Van I ' l e z L . F. S , Centers and nearct points of sets. Pm- . 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