1 Introduction

Let L p [a,b] (1p<) be the space of all real-valued Lebesgue measurable functions, f:[a,b]R, such that

f p , [ a , b ] = ( a b | f ( t ) | p d t ) 1 / p <

and let C[0,1] be the set of all continuous functions f:[0,1]R with the sup norm f =sup{|f(t)|:x[0,1]}. We simply write f p = f p , [ 0 , 1 ] . Let R[0,1] be the set of all Riemann integrable functions on [0,1] (recall that Riemann integrable functions on [0,1] are bounded). As usual, we denote by W p 1 [0,1] the space of all absolutely continuous functions f:[0,1]R such that f L p [0,1]. We also denote by P n the family of all algebraic polynomials of degree not greater than n.

The local modulus of continuity of a function g:[0,1]R at a point x is defined by

ω(g,x,t)=sup { | g ( v ) g ( w ) | : v , w [ x t , x + t ] [ 0 , 1 ] } ,t0.

For p1, the average modulus of continuity is defined by

τ ( g , t ) p = ω ( g , , t ) p .

This modulus is well defined whenever g is a bounded measurable function.

For a bounded function f L p [0,1] and nN, the best one-sided approximation is defined by

E ˜ n ( f ) p =inf { P Q p : P , Q P n , Q ( x ) f ( x ) P ( x ) , x [ 0 , 1 ] } .
(1)

It was shown in [1], with Δ n = n 2 + n 1 1 t 2 , that there exists a constant C such that, for any bounded measurable function f:[0,1]R,

E ˜ n ( f ) p Cτ ( f , Δ n ) p .
(2)

The analogous result for a trigonometric approximation was given in [2]. It is well known that lim t 0 + τ ( g , t ) 1 =0 if and only if gR[0,1] (see [3]). That is the reason why we only consider Riemann integrable functions.

In this paper, we present some sequences of polynomial operators for one-sided L p -approximation which realize the rate of convergence given in (2). Our construction also provides a specific constant. We point out that a one-sided approximation cannot be realized with polynomial linear operators.

Let us consider the step function

G(t)= { 0 , if  1 t 0 , 1 , if  0 < t 1 ,
(3)

and fix two sequences of polynomials { P n } and { Q n } ( P n , Q n P n ) such that

P n (t)G(t) Q n (t),t[1,1]

and

Q n P n 1 , [ 1 , 1 ] 0,as n.
(4)

The existence of such sequences of polynomials P n and Q n satisfying (4) is well known (see, for example, [4]). Probably, the first construction of the optimal solution for (4) is due to Markoff or Stieltjes (cf. Szegö [[5], Section 3.411, p.50]).

Fix p[1,). In [4] we constructed a sequence of polynomial operators as follows. For nN, f W p 1 [0,1], and x[0,1], define

λ n (f,x)=f(0)+ 0 1 P n (tx) ( f ) + (t)dt 0 1 Q n (tx) ( f ) (t)dt
(5)

and

Λ n (f,x)=f(0)+ 0 1 Q n (tx) ( f ) + (t)dt 0 1 P n (tx) ( f ) (t)dt,
(6)

where, as usual,

g + (x)=max { 0 , g ( x ) } and g (x)=max { 0 , g ( x ) } .

Also in [4], it is proved that λ n (f), Λ n (f) P n ,

λ n (f,x)f(x) Λ n (f,x),x[0,1]
(7)

and

max { f λ n ( f ) p , f Λ n ( f ) p } α n f p ,
(8)

where

α n = Q n P n 1 , [ 1 , 1 ] .
(9)

For a function fR[0,1], h(0,1) and x[0,1], set

L h (f,x)= 0 1 [ f ( ( 1 h ) x + h s ) ω ( f , ( 1 h ) x + h s , h ) ] ds
(10)

and

M h (f,x)= 0 1 [ f ( ( 1 h ) x + h s ) + ω ( f , ( 1 h ) x + h s , h ) ] ds.
(11)

It turns out (see Section 2) that L h (f), M h (f) W p 1 [0,1], for p1, and therefore we can define

A n , h (f,x)= λ n ( L h ( f ) , x ) and B n , h (f,x)= Λ n ( M h ( f ) , x ) ,
(12)

where λ n and Λ n are given by (5) and (6), respectively. We will prove that

A n , h (f,x)f(x) B n , h (f,x),x[0,1],

and present upper estimates for the error f A n , h (f) and B n , h (f)f in L p [0,1] in terms of the average modulus of continuity.

In the last years, there has been interest in studying open problems related to one-sided approximations (see [4, 68] and [9]). We point out that other operators for the one-sided approximation have been constructed in [10, 11] and [12]. In particular, the operators presented in [12] yield the non-optimal rate O(τ ( f , 1 / n ) 1 ) whereas the ones considered in [10, 11] give the optimal rate, but without an explicit constant.

The paper is organized as follows. In Section 2 we present some properties of the Steklov type functions (10) and (11). Finally, in Section 3 we consider an approximation by means of the operators defined in (12).

2 Properties of Steklov type functions

We start with the following auxiliary results.

Proposition 1 If fR[0,1], h(0,1), and the functions L h (f) and M h (f) are defined by (10) and (11), respectively, then the following assertions hold.

  1. (i)

    The functions L h (f) and M h (f) are absolutely continuous. Moreover, if Ψ 1 (x):= L h (f,x) and Ψ 2 (x):= M h (f,x), then

    Ψ j ( x ) = 1 h h ( f ( ( 1 h ) x + h ) f ( ( 1 h ) x ) ) + ( 1 ) j 1 h h ( ω ( f , ( 1 h ) x + h , h ) ω ( f , ( 1 h ) x , h ) ) , j = 1 , 2 .
    (13)
  2. (ii)

    For each x[0,1],

    L h (f,x)f(x) M h (f,x).
    (14)
  3. (iii)

    For 1p< one has L h ( f ) , M h ( f ) L p [0,1]

    max { f L h ( f ) p , f M h ( f ) p } 2 ( 1 h ) 1 / p τ ( f , h ) p ,
    (15)
M h ( f ) L h ( f ) p 2 ( 1 h ) 1 / p τ ( f , h ) p
(16)

and

max { L h ( f ) p , M h ( f ) p } 3 h τ ( f , h ) p .
(17)

Proof (i) Let g L 1 [0,1]. Then the function

H(x)= 0 1 g ( ( 1 h ) x + h s ) ds,

is absolutely continuous with Radon-Nikodym derivative

H (x)= 1 h h ( g ( ( 1 h ) x + h ) g ( ( 1 h ) x ) ) .

This, together with (10) and (11), shows (13).

  1. (ii)

    Observe that

    f(x) M h (f,x)= 1 h 0 h ( f ( x ) f ( ( 1 h ) x + s ) ω ( f , ( 1 h ) x + s , h ) ) ds0,

as follows from the definition of ω. Similarly, L h (f,x)f(x).

  1. (iii)

    We present a proof for a fixed 1<p< (the case p=1 follows analogously). As usual, take q such that 1/p+1/q=1. Using (14) and Hölder inequality, we obtain

    ( h M h ( f ) f p ) p ( h M h ( f ) L h ( f ) p ) p = 2 p 0 1 ( 0 h ω ( f , ( 1 h ) x + s , h ) d s ) p d x 2 p h p / q 0 1 0 h ω p ( f , ( 1 h ) x + s , h ) d s d x = 2 p h p / q 1 h 0 h s 1 h + s ω p ( f , y , h ) d y d s 2 p h p / q 1 h 0 h 0 1 ω p ( f , y , h ) d y d s = 2 p h 1 + p / q 1 h τ p ( f , h ) p = 2 p h p 1 h τ p ( f , h ) p .

For f L h ( f ) p the proof follows analogously.

Finally, in order to estimate L h ( f ) p and M h ( f ) p , we use the representation of the derivative given in (13). Recall that the usual modulus of continuity for f L p [0,1] is defined as follows:

ω ( f , h ) p = sup 0 < t h ( 0 1 t | f ( x + t ) f ( x ) | p d x ) 1 / p .

It can be proved (see the proof of Lemma 4 in [2]) that, for any fR[0,1],

ω ( f , h ) p τ ( f , h ) p .

Therefore

( 0 1 | f ( ( 1 h ) x + h ) f ( ( 1 h ) x ) | p d x ) 1 / p = ( 1 1 h 0 1 h | f ( y + h ) f ( y ) | p d y ) 1 / p ω ( f , h ) p ( 1 h ) 1 / p τ ( f , h ) p ( 1 h ) 1 / p .
(18)

On the other hand

( 0 1 | ω ( f , ( 1 h ) x + h , h ) ω ( f , ( 1 h ) x , h ) | p d x ) 1 / p ( 0 1 ω p ( f , ( 1 h ) x + h , h ) d x ) 1 / p + ( 0 1 ω p ( f , ( 1 h ) x , h ) d x ) 1 / p 1 ( 1 h ) 1 / p [ ( h 1 ω p ( f , y , h ) d y ) 1 / p + ( 0 1 h ω p ( f , y , h ) d y ) 1 / p ] 2 ( 1 h ) 1 / p τ ( f , h ) p .
(19)

From (13), (18), and (19), we obtain (17). The proof is complete. □

3 Approximation of Riemann integrable functions

Theorem 1 Fix p[1,), nN, h(0,1), and fR[0,1]. Let A n , h (f) and B n , h (f) be as in (12) and let α n be as in (9). Then A n , h (f), B n , h (f) P n ,

A n , h ( f , x ) f ( x ) B n , h ( f , x ) , x [ 0 , 1 ] , max { f A n , h ( f ) p , f B n , h ( f ) p } ( 2 1 h + 3 α n h ) τ ( f , h ) p
(20)

and

B n , h ( f ) A n , h ( f ) p ( 4 1 h + 6 α n h ) τ ( f , h ) p .
(21)

Proof Let L h (f) and M h (f) be as in (10) and (11), respectively. We know that A n , h (f), B n , h (f) P n . Moreover, from (7) and (14) we have

A n , h (f)= λ n ( L h ( f ) ) L h (f)f M h (f) Λ n ( M h ( f ) ) = B n , h (f).

On the other hand, from (8), (15), and (17) one has

f A n , h ( f ) p f L h ( f ) p + L h ( f ) A n , h ( f ) p 2 ( 1 h ) 1 / p τ ( f , h ) p + α n ( L h f ) p ( 2 ( 1 h ) 1 / p + 3 α n h ) τ ( f , h ) p ( 2 1 h + 3 α n h ) τ ( f , h ) p .

The estimate for f B n , h ( f ) p follows analogously. Finally, (21) follows immediately from (20). □

For nN the Fejér-Korovkin kernel is defined by

K n (t)= 2 sin 2 ( π / ( n + 2 ) ) n + 2 ( cos ( ( n + 2 ) t / 2 ) cos ( π / ( n + 2 ) ) cos t ) 2

for t±π/(n+2) and K n (t)=(n+2)/2 for t=±π/(n+2).

Let F:RR be the 2π-periodic function such that

F(x)= { 1 , if  x [ π / 2 , π / 2 ] , 0 , if  x [ π , π ] [ π / 2 , π / 2 ] ,
(22)

and, for x,u,t[π,π], set

U(F,x,t,u)=ω ( F , x + t , | u | ) +ω ( F , x + u , | t | ) .

For nN define

T n (x)= 1 4 π 2 π π ( π π [ F ( x + t ) U ( F , x , t , u ) ] K n ( t ) d t ) K n (u)du

and

T n + (x)= 1 4 π 2 π π ( π π [ F ( x + t ) + U ( F , x , t , u ) ] K n ( t ) d t ) K n (u)du.

The following result was proved in [4].

Proposition 2 Let G be given by (3). For nN and x[1,1], define

P n (x)= T n (arccosx)and Q n (x)= T n + (arccosx).

Then P n , Q n P n ,

P n (x)G(x) Q n (x),x[1,1]

and

Q n P n 1 , [ 1 , 1 ] 4 π 2 n + 2 .
(23)

From Theorem 1 and Proposition 2 we can state our main results.

Theorem 2 Fix p[1,). For nN, let P n , Q n be the sequences of polynomials constructed as in Proposition  2. For fR[0,1] and n2, set

A n (f)= A n , 1 n (f), B n (f)= B n , 1 n (f),

where A n , h and B n , h are given by (12). Then

A n ( f ) , B n ( f ) P n , A n ( f , x ) f ( x ) B n ( f , x ) , x [ 0 , 1 ] , max { f A n ( f ) p , f B n ( f ) p } 2 ( 1 + 6 π 2 ) τ ( f , 1 n ) p
(24)

and

B n ( f ) A n ( f ) p 4 ( 1 + 6 π 2 ) τ ( f , 1 n ) p .

Proof The first two assertions follow from Proposition 2 with h=1/n. So, in order to prove the theorem it remains to verify (24). Taking into account (9) and (23), we have α n 4 π 2 /(n+2). Then, from (20) with h=1/n and n2, we obtain

max { f A n ( f ) p , f B n ( f ) p } ( 2 n n 1 + 12 π 2 n n + 2 ) τ ( f , 1 n ) p 2 ( 1 + 6 π 2 ) τ ( f , 1 n ) p .

This completes the proof. □

Finally, from Theorem 2 we have immediately the following.

Corollary 1 Fix p>1 and nN, n2. For any fR[0,1] we have

E ˜ n ( f ) p 4 ( 1 + 6 π 2 ) τ ( f , 1 n ) p ,

where E ˜ n ( f ) p is the best one-sided approximation defined in (1).