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R E S E A R C H

Open Access

Some approximation properties of

(

p

,

q

)-Bernstein operators

Shin Min Kang

1

, Arif Rafiq

2

, Ana-Maria Acu

3

, Faisal Ali

4

and Young Chel Kwun

5*

*Correspondence: yckwun@dau.ac.kr

5Department of Mathematics, Dong-A University, Busan, 49315, Korea

Full list of author information is available at the end of the article

Abstract

This paper is concerned with the (p,q)-analog of Bernstein operators. It is proved that, when the function is convex, the (p,q)-Bernstein operators are monotonic decreasing, as in the classical case. Also, some numerical examples based on Maple algorithms that verify these properties are considered. A global approximation theorem by means of the Ditzian-Totik modulus of smoothness and a Voronovskaja type theorem are proved.

MSC: 41A10; 41A25; 41A35

Keywords: (p,q)-Bernstein operators; (p,q)-calculus; Voronovskaja type theorem; K-functional; Ditzian-Totik first order modulus of smoothness

1 Introduction and preliminaries

During the last decade, the applications ofq-calculus in the field of approximation theory

has led to the discovery of new generalizations of classical operators. Lupaş [] was first to

observe the possibility of usingq-calculus in this context. For more comprehensive details

the reader should consult monograph of Aralet al.[] and the recent references [–].

Nowadays, the generalizations of several operators in post-quantum calculus, namely the (p,q)-calculus have been studied intensively. The (p,q)-calculus has been used in many areas of sciences, such as oscillator algebra, Lie group theory, field theory, differential

equations, hypergeometric series, physical sciences (see [, ]). Recently, Mursaleenet

al.[] defined (p,q)-analog of Bernstein operators. The approximation properties for

these operators based on Korovkin’s theorem and some direct theorems were considered. Also, many well-known approximation operators have been introduced using these tech-niques, such as Bleimann-Butzer-Hahn operators [] and Szász-Mirakyan operators [].

In the present paper, we prove new approximation properties of (p,q)-analog of

Bern-stein operators. First of all, we recall some notations and definitions from the (p,q

)-calculus. Let  <q<p≤. For each non-negative integer nk≥, the (p,q)-integer [k]p,q, (p,q)-factorial [k]p,q!, and (p,q)-binomial are defined by

[k]p,q:=

pkqk

pq ,

[k]p,q! :=

⎧ ⎨ ⎩

[k]p,q[k– ]p,q· · ·[]p,q, k≥,

, k= ,

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and

n k

p,q

:= [n]p,q! [nk]p,q![k]p,q!

.

As a special case whenp= , the above notations reduce toq-analogs.

The (p,q)-power basis is defined as

(xa)np,q= (xa)(pxqa)pxqa· · ·pn–xqn–a. The (p,q)-derivative of the functionf is defined as

Dp,qf(x) =

f(px) –f(qx)

(pq)x , x= .

Letf be an arbitrary function anda∈R. The (p,q)-integral off on [,a] is defined as

a

f(t)dp,qt= (qp)a

k=

f

pk

qk+a

pk

qk+, if

pq< ,

a

f(t)dp,qt= (pq)a

k=

f

qk pk+a

qk pk+, if

qp< .

The (p,q)-analog of Bernstein operators forx∈[, ] and  <q<p≤ are introduced as follows:

Bpn,q(f;x) =

n

k=

bpn,,qk(x)f

pnk[k]p,q

[n]p,q

,

where the (p,q)-Bernstein basis is defined as

bpn,,qk(x) =

n k

p,q

p[k(k–)–n(n–)]/xk(x)np,qk.

Lemma . For x∈[, ],  <q<p≤,we have

Bnp,q(e;x) = , Bnp,q(e;x) =x,

Bpn,q(e;x) =

pn–

[n]p,q

x+q[n– ]p,q [n]p,q

x,

where ei(x) =xiand i∈ {, , }.

Lemma . Let n be a given natural number,then

Bpn,q(tx);x= p

n–

[n]p,q

φ(x)≤  [n]p,q

φ(x),

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2 Monotonicity for convex functions

Oru and Phillips [] proved that when the functionf is convex on [, ], itsq-Bernstein

operators are monotonic decreasing. In this section we will study the monotonicity of (p,q)-Bernstein operators.

Theorem . If f is convex function on[, ],then

Bpn,q(f;x)≥f(x), ≤x≤,

for all n≥and <q<p≤.

Proof We consider the knotsxk=p

nk[k] p,q

[n]p,q ,λk=

n k

p,qp

[k(k–)–n(n–)]/xk(x)nk

p,q, ≤kn.

Using Lemma ., it follows that

λ+λ+· · ·+λn= ,

xλ+x+λ+· · ·+xnλn=x.

From the convexity of the functionf, we get

Bpn,q(f;x) =

n

k=

λkf(xk)≥f

n

k=

λkxk

=f(x).

Example . Letf :R→R,f(x) =xex+. Figure  illustrates thatBp,q

n (f;x)≥f(x) for the

convex functionf andx∈[, ].

Theorem . Let f be convex on[, ].Then Bpn,–q(f;x)≥Bnp,q(f;x)for <q<p≤, ≤

x≤,and n≥.If fC[, ]the inequality holds strictly for <x< unless f is linear in each of the intervals between consecutive knots pn[––n–]k[k]p,q

p,q , ≤kn– ,in which case we

[image:3.595.118.478.547.734.2]

have the equality.

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Proof For  <q<p≤ we begin by writing

n–

s=

psqsx–Bpn,–q(f;x) –Bpn,q(f;x)

=

n–

s=

psqsx–

n–

k=

n– 

k

p,q

p[k(k–)–(n–)(n–)]/xk(x)np,qk–f

pn––k[k]

[n– ]

n– k= n k

p,q

p[k(k–)–n(n–)]/xk(x)np,qkf

pnk[k] [n]

= n– k=

n– 

k

p,q

p[k(k–)–(n–)(n–)]/xk

n–

s=nk–

psqsx–f

pn––k[k]

[n– ]

n k= n k

p,q

p[k(k–)–n(n–)]/xk

n–

s=nk

psqsx–f

pnk[k]

[n]

.

Denote

k(x) =p

k(k–)  xk

n–

s=nk

psqsx–, (.)

and using the following relation:

pn–pk(k–)xk

n–

s=nk–

psqsx–=pkk(x) +qnk–k+(x),

we find

n–

s=

psqsx–Bpn,–q(f;x) –Bpn,q(f;x)

=

n–

k=

n– 

k

p,q

p–(n–)(n–)p–(n–)pkk(x) +qnk–k+(x)f

pn––k[k]p,q

[n– ]p,q

n k= n k

p,q

pn(n–)

k(x)f

pnk[k] p,q

[n]p,q

=pn(n–)

n–

k=

n– 

k

p,q

pkk(x)f

pn––k[k] p,q

[n– ]p,q

+ n k=

n– 

k– 

p,q

qnkk(x)f

pnk[k– ] p,q

[n– ]p,q

n k= n k k(x)f

pnk[k] p,q

[n]p,q

=pn(n–)

n–

k=

n– 

k

p,q

pkf

pn––k[k] p,q

[n– ]p,q

+

n– 

k– 

p,q

qnkf

pnk[k– ] p,q

[n– ]p,q

n k

p,q

f

pnk[k]p,q

[n]p,q

(5)

=pn(n–)

n–

k=

n k

p,q

[nk]p,q

[n]p,q

pkf

pn––k[k] p,q

[n– ]p,q

+[k]p,q [n]p,q

qnkf

pnk[k– ]p,q

[n– ]p,q

f

pnk[k]p,q

[n]p,q

k(x)

=pn(n–)

n–

k=

n k

p,q

akk(x),

where

ak=

[nk]p,q

[n]p,q

pkf

pn––k[k]p,q

[n– ]p,q

+[k]p,q [n]p,q

qnkf

pnk[k– ]p,q

[n– ]p,q

f

pnk[k]p,q

[n]p,q

.

From (.) it is clear that eachk(x) is non-negative on [, ] for  <q<p≤ and, thus, it

suffices to show that eachakis non-negative.

Sincef is convex on [, ], then for anyt,t∈[, ] andλ∈[, ], it follows that

fλt+ ( –λ)t

λf(t) + ( –λ)f(t).

If we chooset=p

nk[k–] p,q

[n–]p,q ,t=

pn––k[k]p,q

[n–]p,q , andλ=

[k]p,q

[n]p,qq

nk, thent

,t∈[, ] andλ

(, ) for ≤kn– , and we deduce that

ak=λf(t) + ( –λ)f(t) –f

λt+ ( –λ)t

≥.

ThusBpn,–q(f;x)≥B

p,q n (f;x).

We have equality forx=  andx= , since the Bernstein polynomials interpolatef on

these end-points. The inequality will be strict for  <x<  unless whenf is linear in each of the intervals between consecutive knots pn––k[k]p,q

[n–]p,q , ≤kn– , then we haveB

p,q n–(f;x) =

Bpn,q(f;x) for ≤x≤.

Example . Letf(x) =sin(πx),x∈[, ]. Figure  illustrates the monotonicity of (p,q

)-Bernstein operators forp= . andq= .. We note that iff is increasing (decreasing)

[image:5.595.118.478.547.733.2]

on [, ], then the operators is also increasing (decreasing) on [, ].

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3 A global approximation theorem

In the following we establish a global approximation theorem by means of Ditzian-Totik modulus of smoothness. In order to prove our next result, we recall the definitions of the

Ditzian-Totik first order modulus of smoothness and theK-functional []. Letφ(x) =

x( –x) andfC[, ]. The first order modulus of smoothness is given by

ωφ(f;t) = sup

<ht

f

x+(x) 

f

x(x) 

,x±(x)

 ∈[, ]

. (.)

The correspondingK-functional to (.) is defined by

(f;t) = inf g[,]

fg+tφg (t> ),

where[, ] ={g:gACloc[, ],φg<∞}andgACloc[, ] means thatgis

abso-lutely continuous on every interval [a,b]⊂[, ]. It is well known ([], p.) that there exists a constantC>  such that

(f;t)≤Cωφ(f;t). (.)

Theorem . Let fC[, ]andφ(x) =√x( –x),then for every x∈[, ],we have

Bpn,q(f;x) –f(x)≤Cωφ

f;  [n]p,q

,

where C is a constant independent of n and x.

Proof Using the representation

g(t) =g(x) +

t x

g(u)du,

we get

Bpn,q(g;x) –g(x)=Bpn,q

t x

g(u)du;x. (.)

For anyx∈(, ) andt∈[, ] we find that

xtg(u)duφg

t x

φ(u)du

. (.)

Further,

xt φ(u)du=

t x

 √

u( –u)du

t

x

 √

u+

 √

 –u

du

(7)

= |tx|

 √

t+√x+

 √

 –t+√ –x

< |tx|

 √

x+

 √

 –x

≤ √

|tx|

φ(x) . (.)

From (.)-(.) and using the Cauchy-Schwarz inequality, we obtain

Bpn,q(g;x) –g(x)< √φgφ–(x)Bnp,q|tx|;x

≤√φgφ–(x)Bnp,q(tx);x/.

Using Lemma ., we get

Bp,q

n (g;x) –g(x)≤

√

[n]p,q

φg.

Now, using the above inequality we can write

Bpn,q(f;x) –f(x)≤Bpn,q(fg;x)+f(x) –g(x)+Bpn,q(g;x) –g(x)

≤√

fg+  [n]p,q

φg

.

Taking the infimum on the right-hand side of the above inequality over allg[, ],

we get

Bpn,q(f;x) –f(x)≤CKφ

f;  [n]p,q

.

Using equation (.) this theorem is proven.

4 Voronovskaja type theorem

Using the first order Ditzian-Totik modulus of smoothness, we prove a quantitative

Voronovskaja type theorem for the (p,q)-Bernstein operators.

Theorem . For any fC[, ]the following inequalities hold:

(i) |[n]p,q[Bnp,q(f;x) –f(x)] –p

n–φ(x)

f(x)| ≤Cωφ(f,φ(x)n–/),

(ii) |[n]p,q[Bnp,q(f;x) –f(x)] –p

n–φ(x)

f(x)| ≤(x)ωφ(f,n–/),

where C is a positive constant.

Proof LetfC[, ] be given andt,x[, ]. Using Taylor’s expansion, we have

f(t) –f(x) = (tx)f(x) +

t x

(tu)f(u)du.

Therefore,

f(t) –f(x) – (tx)f(x) –  (tx)

f(x) = t

x

(tu)f(u)du

t x

(tu)f(x)du

=

t x

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In view of Lemma . and Lemma ., we get

Bpn,q(f;x) –f(x) – p

n–

[n]p,q

φ(x)f(x)≤Bpn,q

t x

|tu|f(u) –f(x)du;x

. (.)

The quantity|xt|f(u) –f(x)||tu|du|was estimated in [], p., as follows:

t

x

f(u) –f(x)|tu|dufg(tx)+ φgφ–(x)|tx|, (.)

whereg[, ]. On the other hand, for anym= , , . . . and  <q<p≤, there exists a

constantCm>  such that

Bpn,q(tx)mp,q;xCm

φ(x)

[n] m+

p,q

, (.)

wherex∈[, ] andais the integer part ofa≥.

Throughout this proof,Cdenotes a constant not necessarily the same at each

occur-rence.

Now, combining (.)-(.) and applying Lemma ., the Cauchy-Schwarz inequality, we get

Bpn,q(f;x) –f(x) –p

n–φ(x)

[n]p,q

f(x)

≤fgBnp,q(tx);x+ φgφ–(x)Bnp,q|tx|;x

≤f

(x)

[n]p,q

+ φgφ–(x)Bpn,q(tx);x/Bpn,q(tx);x/

≤f

(x)

[n]p,q

+  C

[n]p,q

φ(x)

[n]p,q

C

[n]p,q

φ(x)fg+ [n]–/p,q φ(xg.

Sinceφ(x)φ(x),x[, ], we obtain

[n]p,q

Bp,q

n (f;x) –f(x)

p

n–φ(x)

f

(x)Cfg+ [n]–/

p,q φ(x)φg.

Also, the following inequality can be obtained:

[n]p,q

Bpn,q(f;x) –f(x)–p

n–φ(x)

f

(x)Cφ(x)fg+ [n]–/

p,q φg.

Taking the infimum on the right-hand side of the above relations overg[, ], we get

[n]p,q

Bpn,q(f;x) –f(x)–p

n–φ(x)

f

(x)

CKφ(f;φ(x)[n]–/p,q ),

(x)(f; [n]–/p,q ).

(.)

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5 Better approximation

In , King [] proposed a technique to obtain a better approximation for the well-known Bernstein operators as follows:

(Bnf)◦rn

(x) =

n

k=

f

k n

n k

rn(x)

k

 –rn(x)

nk

, (.)

where rnis a sequence of continuous functions defined on [, ] with ≤rn(x)≤ for

eachx∈[, ] andn∈ {, , . . .}. The modified Bernstein operators (.) preserveeand

e and present a degree of approximation at least as good. In [], the authors consider

the sequence of linear Bernstein-type operators defined forfC[, ] byBn(fτ–)◦τ,τ

being any function that is continuously differentiable∞times on [, ], such thatτ() = ,

τ() = , andτ(x) >  forx∈[, ].

So, using the technique proposed in [], we modify the (p,q)-Bernstein operators as

follows:

Bpn,q(f;x) =

n

k=

bpn,,qk(x)fτ–p

nk[k] p,q

[n]p,q

,

where

bpn,q(x) =

n k

p,q

p[k(k–)–n(n–)]/τ(x)kτ(x)np,qk.

Then we have

Bpn,q(e;x) = , B

p,q n

τ(t);x=τ(x),

Bpn,(t);x= p

n–

[n]p,q

τ(x) +q[n– ]p,q [n]p,q

τ(x),

Bpn,(t) –τ(x);x= p

n–

[n]p,q

φτ(x),

[image:9.595.112.485.286.738.2]

whereφτ(x) :=τ(x)( –τ(x)).

Figure 3 Approximation process byBpn,q

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Example . We compare the convergence of (p,q)-analog of Bernstein operatorsBpn,qf

with the modified operators Bpn,qf. We have considered the functionf(x) =sin(x) and

τ(x) =x+x. Forx∈[, ],p= .,q= .,n= , the convergence of the operatorsBpn,q

andBpn,qto the functionf is illustrated in Figure . Note that the approximation byBpn,qf

is better than using (p,q)-Bernstein operatorsBpn,qf.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors read and approved the final manuscript.

Author details

1Department of Mathematics and RINS, Gyeongsang National University, Jinju, 52828, Korea.2Department of Mathematics and Statistics, Virtual University of Pakistan, Lahore, 54000, Pakistan.3Department of Mathematics and Informatics, Lucian Blaga University of Sibiu, Str. Dr. I. Ratiu, No. 5-7, Sibiu, 550012, Romania.4Center for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University, Multan, 60800, Pakistan. 5Department of Mathematics, Dong-A University, Busan, 49315, Korea.

Acknowledgements

The authors would like to thank the editor and the referees for useful comments and suggestions. This work was supported by the Dong-A University research fund.

Received: 26 February 2016 Accepted: 19 June 2016

References

1. Lupa¸s, A: Aq-analogue of the Bernstein operator. In: Seminar on Numerical and Statistical Calculus, vol. 9, pp. 85-92. University of Cluj-Napoca, Cluj-Napoca (1987)

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doi:10.1016/j.amc.2015.03.032

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Figure

Figure 1 Approximation process by Bp,qn x+1
Figure 2 Monotonicity of (p,q)-Bernstein
Figure 3 Approximation process by Bp,qp,qn

References

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