P(x) Z a.wk(x), k-0. lfllr, :-{foo "f(x)lr dzl APPROXIMATION BY WEIGHTED MEANS OF WALSH-FOURIER SERIES. Ilfllo,, -sup{if(x)l x

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Internat. J. Math. & Math. Sci. VOL. 19 NO. (1996) 1-8 APPROXIMATION BY WEIGHTED MEANS OF WALSH-FOURIER SERIES F. MORICZ* Bolyai Institute, University of Szeged Aradi v6rtan6k tere 1, 6720 Szeged, HUNGARY B. E. RHOADES** Department of Mathematics, Indiana University Bloomington, Indiana 47405, U S A (Received April 26, 1993 and in revised form February 20,1995) ABSTRACT. We study the rate of approximation to functions in L and, in particular, in Lip(a, p) by weighted means of their Walsh-Fourier series, where c > 0 and 1 < p _< cry. For the case p c, L is interpreted to be Cw, the collection of uniformly W continuous functions over the unit interval [0, 1). We also note that the weighted mean kernel is quasi-positive, under fairly general conditions. 1991. Mathematics Subject Classification. Primary 41A30. KEY WORDS AND PHRASES" Walsh system, Walsh-Fourier series, weighted mean, rate of convergence, Lipschitz class, Walsh-Dirichlet kernel, Walsh-Fej6r kernel, quasi-positive kernel. 1. INTRODUCTION. We consider the Walsh orthonormal system {wk(x) k _> 0} defined on the unit interval I :-- [0,1) using the Paley enumeration (see [4]). Let 79, denote the collection of Walsh polynomials of order less than n; tlat is, functions of the form P(x) Z a.wk(x), k-0 where n _> 1 and {a} is any sequence of real numbers. the approximation by Walsh polynomials in the norms of L r :- L (I), 1 _< p < oz, and Cw := Cw(I). The class Cw is the collection of all functions f I R that are uniformly continuous from the dyadic topology of I into the usual topology of R; briefly, uniformly W- continuous. The dyadic topology is generated by the collection of dyadic intervals of the form L. I, := [k2-, (k + 1)2- ), k 0, 1,...,2 m- 1; For Cw we shall write Set lfllr, :-{foo "f(x)lr dzl l<p< o, Ilfllo,, -sup{if(x)l x The best approximation of function f E L, 1 <_ p _< cx, by polynomials in Pn is defined by E,.,(f Lr ) := inf IIf-PIl. PEP,=

2 F. MORICZ AND B. E. RHOADES For f E Lp, the modulus of continuity is defined by wp(f, ) : sup{llf(.-t)- f( )ll "ltl < where $ > 0 and -i- denotes dyadic addition. For a > 0, the Lipschitz classes in L are defined by Lip(a,p) := {f e LP w(f, di) O( ) as 8 0}. Concerning further properties and explanations, we refer the reader to [3], are adopted here as well. 2. MAIN RESULTS. For f Lx, its Walsh-Fourier series is defined by Eawk(x) k=o The nth partial sum of the series in (2.1) is fo whose notations where ak f(t)wk(t)dt. (2.1) n-1 8n(f,x) := E akwk(x) k=0 n>l, which can also be written in the form s(f,z) f(z-i-t)d,(t)dt, where D,(t) := E w(t), n >_ 1, k=0 is the Walsh-Dirichlet kernel of order n. Throughout, {p k >_ 1} will denote a sequence of non.negative numbers, with Pl > O. The weighted means for series (2.1) are defined by where We shall always assume that P * E pk k -I n>l. which is the condition for regularity. The representation t,, (f x) plays a central role in the sequel, where f (x-i-t)l,, (t)dt (2.2) L,(t) := E pkdk(t), k=l n> 1, (2.3) is the weighted mean kernel.

APPROXIMATION BY WEIGHTED MEANS OF WALSH-FOURIER SERIES 3 THEOREM 1. Let f E Lp, _< p _< c, n := 2 + k, 1 _< k _< 2m, rn _> 1. (i) If {pk} is nondecreasing and satisfies the condition (2.4) then rn--1 (ii) If {pk } is nonincresing, then j=o m-1 []t,(f) flip <- E 3--0 2Jp2"WP(f 2-J) + O(Wp(f, 2- )). (2.6) THEOREM 2. Let f e Lip(a, p) for some a > 0 and 1 _< p _< c. Then for {pk} nondecreasing, O(n o) if O<a<l, IIt(f) flip O(T/, -1 logn) if a 1, (.7) O(n-) if a> 1; for {pk} nonincreasing, IIt.(f) flip 0 2(1--c)p2 q- 2 3=0 Given two sequences {p} and {q} of nonnegative numbers, we write pk two positive constants C1 and C2 such that qk if there exist Cl q. <_ pk <_ C2q. for all k large enough. We present two particular cases for nonincreasing {Pk }. Case (i): p (log k) -t for some/3 > 0. Then P,, n(log n) -t. It follows from (2.8) IIt.(f)- fll O(n-) O(n -1 log n) O(n -1 log nloglog n) O(n-l(logn)) if O<a< land/>o, if a 1 and 0 </ < 1, if a=/= 1, if a 1 and fl 1, or if a> land>o. Case (ii): pk k -t for some 0 </3 _< 1. Then P na-a if 0 </3 < 1 and P logn if/3 1. The case/3 > 1 is unimportant since P O(1). By (2.8), o(-) IIt,,(f) fll O(n -1 log n + n- ) O(na-x) O((log n) -1 if a+/3 < 1, if a+/3 1, if a+/3> land/3> 1, if /3=1, L _ where a > 0 and/3 > 0. REMARK 1. The slower P, tends to infinity, the worse is the rate of approximation. REMARK 2. Watari [6] has shown that a function f a > 0 and 1 _< p _< cx if and only if p belongs to Lip(a,p) for some E,.,(f,Lp) O(n- ).

4 F. MORICZ AND B. E. RIOADES Thus, for 0 < a < 1, the rate of approximation to functions f in the class Lip(a,p) by tn(f) is as good as the best approximation. REMARK 3. For a > 1, the rate of approximation by tn(f) in the class Lip(a, p) cannot be improved too much. THEOREM 3. If for some f lit2"(/) fl] o(pf2) as m oo, (2.9) then f is a constant. If p 1 for all k, then the t,(f,x) are the (C, 1) means (i.e., the first arithmetic means) of the series in (2.1). In this case, Theorem 2 was proved by Yano [8] for 0 < a < 1 and by Jastrebov [1] for 1; Theorem 3 also reduces to a known result (see e.g. [5, p. 191]). 3. AUXILIARY RESULTS Let K(t) := D/=($), n > 1 (3.1) k=l by the Walsh-Fejer kernel. LEMMA 1. (see [7]). Let m _> 0 and n _> 1. Then K2.(t) >_ 0 for each t E I, and LEMMA 2. Let n := 2 + _, k, 1 <_ k <_ 2", and m >_ 1. Then for L,(t) defined in (2.3), m-1 2j-1 P,L,(t) rj(t)w2j_l(t) i(p2j+l_i-p+_i_)ki(t) j=0 i=1 r(t)w2-(t)2k2(t) (3.2) --1 j=0 where the r() e the decher nctions. Proof. om (2.3) k + (P, P,--t)D2 (t)+ rm(t) +idi(t), 2"--1 i=l m--1 2-1 j=0 i=0 m-12j-1 k (3.3) j=0 /=0 We will make use of formula (3.4) of [3]"

APPROXIMATION BY WEIGHTED MEANS OF WALSH-FOURIER SERIES 5 D,/, () D=,+(),()_,()D=,_,(), 0<<2 and the formula in line 4 from below of [4, p. 46]: D2-.+, (t) D2- (t) + r,d,(t), 1<i<2m. Substituting these into (3.3) yields P,,L,(t) m--i 2 --I rj(t)w2_l(t) j=0 i=0 m--1 + (P2,+, - 0 k i=1 Hence (3.2) follows, by noting that Di(t) ik(t) (i- l)ki_l(t), _> 1, Ko(t) := 0, (see (3.1)) and accordingly 2-I 2 pj +,D, _, (t) p2+l_,d,(t),=0 i-1 2 i(p2+1-, p2,+,-i-1)ki(t)+ 2 p,k2,(t). i--1 Motivated by (3.2), we define a linear operator R by k 1 P (t) Z p2-+,d, (t), (3.4) i--1 wheae n := 2 + k, 1 k 2", and m _> 1. A Sidon type inequality of [2] implies that R as well as the weighted mean kernel L, defined in (2.3) are quasi-positive. LEMMA 3. Let {pk } be a sequence of nonnegative numbers either nondecreasing and satisfying condition (2.4) or merely nonincreasing, and let P be deiined by (3.4). Then there exists a constant C such that I, [R,(t)ldt _< C, n _> 1. (3.5) PROOF. By [2, Lemma 1 for p 2], Due to monotonicity, I, < 4k 1/2 p2. + p. i--1 In < BY (2.4), hence (3.5) follows. if {p} is nondecreasing, 4c P2m+ p _< 4 if {p} is nonincreasing.

6. MORICZ AND B. E. RHOADES LEMMA 4 (see [3]). If g E :P2-, f E L, where rn _> 0 and 1 <: p _< oo, then r,(t)g(t)[f(.4t) f(.)]dt <_ 2-1wn(f, 2- )[Ig[ll. 4. PROOFS OF THEOREMS 1-3. PROOF OF THEOREM 1. We shall present the details only for 1 _< p < oo. By (2.2), (3.2), and the usual Minkowski inequality, j=o i=0 where i=0.. =: I. + + + &. +., say, / From Lemma 1, 2J-1 i=l 2j+1-1 _< 2 Z (2j+l r)[pr -Pr-l[----: r----2/l If {p} is nondecreasing, we have 2.+I --I 2 -+I --I 2 "+I --I Aj 2 j+2 Z (Pr --Pr--1)- 2 Z (rpr (r- 1)pr-1) q- 2 Z Pr-1 r--2t / r-2i/ r----2t+ 2J+2(p2#+ -I P2#) 2[(23+1 I)p2#+I-1 2Jp2 ] "[- 2(P2J+1-2 P2,-l) < 2(P2#+I-I P2-1) < 25/1P2#+I 1" If {pk} is nonincreasing, we have 2I+I-I 2i/I-I 2/I-I A1 2i+2 Z (Pr-1 Pr) q" 2 Z (rpr (r 1)pr-1) 2 Z r---2./ r=2i/ r--2+ Pr-1 ( 2J+lp2j

APPROXIMATION BY WEIGHTED MEANS OF WALSH-FOURIER SERIES Thus, by Lemma 4, for {pk} nondecreasing, and for (pk } nonincreasing, Again, by Lemmas 1 and 4, m--1 3=0 m--i =0 (4.2) (4.3) Ihi(t)ldt < 2I K(t)dt 2p2, whence Since m-1 I2. _< 2-1 2-#p2#w(f, 2-). i=0 D2-,(t)= if te [0,2-m), 0 if te [2-",1) (e, e.g., [15, P.71), by the generalid Minkowski inequality, (4.4) m-1 =0 m--1 (4.5) and i=0 (4.6) Note that P2#+-t By Lemmas 3 and 4, f 2Jp2#+1_I P2#-i < { I, 2iP2 if if {p} is nondecreasing, {p} is nonincreasing. 15n <_ 2-1pnwp(f, 2-m) <_ 2-1(JP,w(f 2-m). IR(t)ldt Combining (4.1) (4.8) yields (2.5) and (2.6). PROOF OF THEOREM 2. For {p } nondecreasing we have, from (2.4) and (2.5), (4.8) IIt.($)- fit, o -. 2 -)# + j=0 Hence (2.7) follows easily. 0 2 E 2(1-a)i + 2- m j=o

8 F. MORICZ AND B. E. RHOADES For {pk} nonincreasing, (2.8)is immediate. PROOF OF THEOREM 3. By a theorem of Watari [6] Thus, from (2.9), Clearly, lls2"-(f) fll <_ 2Ee (f, LP). ]]s (f) fll, o(p=l) 2 (4.9) 2"--I 2"--I k=l k=l Now (2.9) and (4.9) imply 2-1 lira Z P*aiwi(x)ll -0. Since the Ln-norm dominates the Ll-norm for p > 1, it follows that for j >_ 1, i=1 2"--I P 2m--1 =1 Hence we conclude that aj 0 for all j >_ 1. Therefore, f a0, a constant. i=1 * This research was partially supported by the Hungarian National Foundation for Scientific Research under Grant#234. ** This research was completed while the author was a Fulbright scholar at the Bolyai Institute, University of Szeged, Hungary, during the fall semester in the academic year 1992/93. REFERENCES 1. JASTREBOVA, M.A., On approximation of functions satisfying the Lipschitz condition by arithmetic means of their Walsh-Fourier series, Mat. Sb. 71 (1966), 214-226. 2. MRICZ, F. and SCHIPP, F., On the integrability and Ll-convergence of Walsh series with coefficients of bounded variation, J. Math. Anal. Appl. 146 (1990), 99-109. 3. MRICZ, F. and SIDDIQI, A.H., Approximation by NSrlund means of Walsh-Fourier series, J. Approx. Theory 70 (1992), 375-389. 4. PALEY, R.E.A.C., A remarkable system of orthogonal functions, Proc. London, Math. Soc. 34 (1932), 241-279. 5. SCHIPP, F., WADE, W.R., and SIMON, P., "Walsh Series. An introduction to Dyadic Harmonic Analysis", Adad4miai Kiad5, Budapest, 1990. 6. WATARI, C., Best approximation by Walsh polynomials, TShoku Math. J. 15 (1963), 1-5. 7 YANO, SH., On Walsh series, TShoku Math. J. 3 (1951), 223-242. 8. YANO, SH., On approximation by Walsh functions, Proc. Arner. Math. Soc. 2 (1951), 962-967.

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