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Research Article

Bivariate generalization of q-Bernstein-Kantorovich type operator

ORCID Icon & ORCID Icon | (Reviewing Editor)
Article: 1160587 | Received 13 Oct 2015, Accepted 26 Feb 2016, Published online: 25 Mar 2016

Abstract

In this paper, we introduce a generalization of the Kantorovich-type Bernstein operators based on q-integers and get a Bohman–Korovkin-type approximation theorem of these operators. We also compute the rate of convergence using the first modulus of smoothness.

AMS Subject Classifications:

Public Interest Statement

The approximation of functions by positive linear operators is a significant research area in mathematical analysis with key relevance to studies of computer aided, geometric design, numerical analysis, solution of differential equations, etc. In this work, we introduce a generalization of the Kantorovich-type Bernstein operators based on q-integers and prove the basic convergence of the introduced operators and also obtain the rate of convergence in terms of modulus of continuity. Further, we study the local approximation property using the modulus of continuity.

1. Introduction

During the last two decades, the applications of q-calculus emerged as a new area in the field of approximation theory. The rapid development of q-calculus has led to the discovery of various generalizations of Bernstein polynomials involving q-integers. Lupaş (Citation1987) introduced the first q-analogue of Bernstein operators (Bernstein, Bernstein) and investigated its approximating and shape preserving properties. Another q-generalization of the classical Bernstein polynomials is due to Phillips (Citation1997). Several generalizations of well-known positive linear operators based on q-integers were introduced and their approximation properties have been studied by several authors.

For each positive integer n, Philips (Citation1997) defined q-Bernstein polynomials as(1.1) Bn(f;q,x)=k=0nf([k][n])nkqxks=0n-k-1(1-qsx)(1.1)

When q=1,Bn(f;q,x) is the classical Bernstein polynomial(1.2) Bn(f,x)=k=0nf(kn)nkxk(1-x)n-k.(1.2)

Kantorovich (Lorentz, Citation1953) modified the Bernstein operators and defined the linear positive operators Kn:L1([0,1])C([0,1]) defined for any fL1([0,1]) by(1.3) Kn(f;x)=(n+1)k=0npn,k(x)kn+1k+1n+1f(u)du,(1.3)

where pn,k(x)=nkxk(1-x)n-k. These operators are known as Kantorovich operators in literature. Radu (Citation2008) has obtained the statistical convergence of q-Bernstein–Kantorovich polynomials. Also, the Kantorovich-type generalizations of the linear positive operators based on q-integers were studied by some authors (see e.g. Mahmudov, Mahmudov2010; Mishra, Khatri, & Mishra, Citation2012; Mishra, Khatri, Mishra, & Deepmala, Citation2013; Mishra, Sharma, Kiliçman, & Jain, Citationin press; Mishra, Sharma, & Mishra, Citation2015; Mursaleen, Khan, Srivastava, & Nisar, Citation2013; Srivastava, Citation2011; Srivastava & Choi, Citation2012). Gairola, Deepmala, and Mishra (Citationin press), Wafi, Rao, and Deepmala (Citation2016) studied rate of approximation and some approximation properties of linear positive operators using quantum calculus approach. Recently, Agrawal, Finta, and Kumar (Citation2015a) introduced a new Kantorovich-type generalization of the q-Bernstein–Schurer operators,

In 2007, Dalmanoglu (Citation2007) defined Kantorovich-type q-Bernstein Operator as follows:(1.4) Bn(f;q,x)=[n+1]k=0nq-knkqxks=0n-k-1(1-qsx)[k][n+1][k+1][n+1]f(t)dqt.(1.4)

Before proceeding further, we recall certain notations of q-calculus as follows. Such notations can be found in Ernst (Citation2000), Kac and Cheung (Citation2002). We consider q as a real number satisfying 0<q<1.

For[n]q=1-qn1-q,q1,n,q=1,

and[n]q!=[n]q[n-1]q[n-2]q[1]q,n=1,2,,1,n=0.

Then for q>0 and integers n,k,kn0, we have[n+1]q=1+q[n]qand[n]q+qn[k-n]q=[k]q.

We observe that(1+x)qn=(-x;q)n=(1+x)(1+qx)(1+q2x)(1+qn-1x),n=1,2,,1,n=0.

Also, for any real number α, we have(1+x)qα=(1+x)q(1+qαx)q.

In special case, when α is a whole number, this definition coincides with the above definition.

The q-Jackson integral and q-improper integral in the interval [0, a] defined as0af(x)dqx=(1-q)an=0f(aqn)qn0<q<1.

and0/Af(x)dqx=(1-q)an=0fqnAqnA,

provided sum converges absolutely.

Let 0a<b and 0<q<1. Following Marinković, Rajković, and Stanković (Citation2008), we consider the Riemann-type q-integral defined as followsabf(t)dqRt=(1-q)(b-a)i=0f(a+(b-a)qi)qi.

This Riemann-type q-integral is appropriate to derive the q-analogues of some well-known integral inequalities. Then the Riemann-type q-integral for a bivariate function is given by(1.5) cdabf(t,s)dq1Rtdq2Rs=(1-q1)(1-q2)(b-a)(c-d)j=0i=0f(a+(b-a)q1i,c+(c-d)q2j)q1iq2j.(1.5)

where 0a<b,0c<d and 0q1<1,0q2<1. Also, f is a qR-integrable function, so the series in (1.5) converges.

The bivariate case for the operators are first introduced by Stancu (Citation1969). He studied the bivariate Bernstein polynomials and estimated the order of approximation for these operators. The aim of this paper was to construct bivariate q-Bernstein–Kantorovich operators, and investigate Korovkin-type approximation properties and estimate the order of approximation in terms of a modulus of continuity.

2. The construction of the bivariate operators of Kantorovich type

The aim of this part was to construct the bivariate extension of the operator (1.1). Let I=[0,1+p], where p{0,1,2,} and j=[0,1]. For I2=I×I, let C(I2) denote the space of all real-valued continuous functions on I2 endowed with the norm ||f||I=sup(x,y)I2|f(x,y)|. Analogously, for J2=J×J, we denote by ||f||J=sup(x,y)J2|f(x,y)| the sup-norm on J2.

If fC(I2) and 0<qn1,qn21, let us define the bivariate generalization of operator (1.4) as follows:(2.1) Ln1,n2(f;qn1,qn2,x,y)=[n1+1]qn1[n2+1]qn2×k1=0n1k2=0n2qn1-k1qn2-k2bn1,n2,k1,k2qn1,qn2(x,y)×([k2]qn2[n2+1]qn2)[k2+1]qn2[n2+1]qn2([k1]qn1[n1+1]qn1)[k1+1]qn1[n1+1]qn1f(t,s)dqn1Rtdqn2Rs,(2.1)

where (x,y)J2 and(2.2) bn1,n2,k1,k2qn1,qn2(x,y)=n1k1qn1n2k2qn2xk1yk2(1-x)qn1n1-k1(1-x)qn2n2-k2(2.2)

In 2003, Erkuş and Duman (DU) proved the statistical Korovkin-type approximation theorem for the bivariate linear positive operators to the functions in space Hω2. In 2009, Ersan and Doğru (Ersan2009) obtained the statistical Korovkin-type theorem and lemma for the bivariate linear positive operators defined in the space Hω2 as follows

Theorem 1

   (Ersan & Doğru, Ersan2009) Let Dn1,n2 be the sequence of linear positive operator acting from Hω2(R+2) into CB(R+), where R+=[0,). Then, for any fHω2,st-limn1,n2Dn1,n2(f)-f=0.

Lemma 1

The bivariate operators defined in Ersan (Ersan2007) satisfy the following :

(i)

Dn1,n2(e00;qn1,qn2,x,y)=1,

(ii)

Dn1,n2(e10;qn1,qn2,x,y)=[n1]qn1[n1+1]qn1x1+x,

(iii)

Dn1,n2(e01;qn1,qn2,x,y)=[n2]qn2[n2+1]qn2y1+y,

(iv)

Dn1,n2(e20;qn1,qn2,x,y)=[n1]qn1[n1-1]qn1[n1+1]2qn1qn12x2(1+x)(1+qn1x)+[n1]qn1[n1+1]2qn1x(1+x),

(v)

Dn1,n2(e02;qn1,qn2,x,y)=[n2]qn2[n2-1]qn2[n2+1]2qn2qn22y2(1+y)(1+qn2y)+[n2]qn2[n2+1]2qn2y1+y.

In order to obtain the convergence properties of bivariate operator (2.1), we need the following lemma.

Lemma 2

Let ei,j=xiyj,(x,y)I2, (i,j){0,1,2,}×{0,1,2,} with i+j2 be the two-dimensional test functions. Then, we have

(i)

Ln1,n2(e00;qn1,qn2,x,y)=1,

(ii)

Ln1,n2(e10;qn1,qn2,x,y)=[n1]qn12qn1[n1+1]qn1[2]qn1x+1[2]qn1[n1+1]qn1,

(iii)

Ln1,n2(e01;qn1,qn2,x,y)=[n2]qn22qn2[n2+1]qn2[2]qn2y+1[2]qn2[n2+1]qn2,

(iv)

Ln1,n2(e20;qn1,qn2,x,y)=qn12(1+qn1+4qn12)[n1][n1-1]qn1[2]qn1[3]qn1[n1+1]qn12x2+qn1(3+5qn1+4qqn12)[n1]qn1[2]qn1[3]qn1[n1+1]qn12x+1[n1+1]qn12[3]qn1,

(v)

Ln1,n2(e02;qn1,qn2,x,y)=qn22(1+qn2+4qn22)[n2][n2-1]qn2[2]qn2[3]qn2[n2+1]qn22y2+qn2(3+5qn2+4qqn22)[n2]qn2[2]qn2[3]qn2[n2+1]qn22y+1[n2+1]qn22[3]qn2.

Proof

The proof can be obtained similar to the proof of bivariate operator in Agrawal, Finta, and Kumar (Sathish2015Bivariate). So, we shall omit this proof.

Lemma 3

For the operator (2.1), we have

(i)

μn1(x)=Ln1,n2(t-x;qn1,qn2,x,y)=x([n1]qn12qn2[2]qn1[n1+1]qn1-1)+1[n1+1]qn1[2]qn1,

(ii)

μn2(y)=Ln1,n2(s-y;qn1,qn2,x,y)=y([n2]qn22qn2[2]qn2[n2+1]qn2-1)+1[n2+1]qn2[2]qn2,

(iii)

δn1(x)=Ln1,n2((t-x)2;qn1,qn2,x,y)=(qn12(1+qn1+4qn12)[n1][n1-1]qn1[2]qn1[3]qn1[n1+1]qn12-[n1][n1+1]4qn1[2]qn1+1)x2+(qn1(3+5qn1+4qqn12)[n1]qn1[2]qn1[3]qn1[n1+1]qn12-2[n1+1]qn1[2]qn1)x+1[n1+1]qn12[3]qn1,

(iv)

δn2(y)=Ln1,n2((s-y)2;qn1,qn2,x,y)=(qn22(1+qn2+4qn22)[n2][n2-1]qn2[2]qn2[3]qn2[n2+1]qn22-[n2][n2+1]4qn2[2]qn2+1)y2+(qn2(3+5qn2+4qqn22)[n2]qn2[2]qn2[3]qn2[n2+1]qn22-2[n2+1]qn2[2]qn2)y+1[n2+1]qn22[3]qn2.

3. Rates of convergence of bivariate operators

Let K=[0,)×[0,). Then the sup norm on CB(K) is given byf=sup(x,y)K|f(x,y)|,fCB(K).

We consider the modulus of continuity ω(f;δ1,δ2), where δ1,δ2>0, for bivariate case given by(3.1) ω(f;δ1,δ2)={sup|f(x,y)-f(x,y)|:(x,y),(x,y)Kand|x-x|δ1,|y-y|δ2}.(3.1)

It is clear that a necessary and sufficient condition for a function fCB(K) islimδ1,δ20ω(f;δ1,δ2)=0

and ω(f;δ1,δ2) satisfy the following condition:(3.2) |f(x,y)-f(x,y)|ω(f;δ1,δ2)1+|x-x|δ11+|y-y|δ2(3.2)

for each fCB(K). Then observe that any function in CB(K) is continuous and bounded on K. The details of the modulus of continuity for bivariate case can be found in Anastassiou and Gal (Citation2000).

Now, the rate of statistical convergence of bivariate operator (2.1) by means of modulus of continuity in fCB(K) will be given in the following theorem.

Theorem 2

Let qn1,qn2(0,1) such that qn11asn1 and qn21asn2. So, we have(3.3) |Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|4ω(f;δn1(x),δn2(y)),(3.3)

where δn1(x)andδn2(y) defined as in Lemma (3).

Proof

By using the condition in (3.2), for δn1,δn2>0 and nN, we get|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|Ln1,n2(|f(x,y)-f(x,y)|;qn1,qn2,x,y)ω(f;δn1(x),δn2(y))(Ln1,n2(1;qn1,qn2,x,y)+1δn1Ln1,n2(|x-x|;qn1,qn2,x,y))×(Ln1,n2(1;qn1,qn2,x,y)+1δn2Ln1,n2(|y-y|;qn1,qn2,x,y))

If the Cauchy–Schwarz inequality is applied, we haveLn1,n2(|x-x|;qn1,qn2,x,y)(Ln1,n2((x-x)2;qn1,qn2,x,y))1/2(Ln1,n2(1;qn1,qn2,x,y))1/2.

So, if it is substituted in the above equation, the proof is completed.

The next theorem represents the rate of statistical convergence of bivariate operator (2.1) by means of Lipschitz LipM(α1,α2) functions for the bivariate case, where fCB[0,) and M>0 and 0<α11, 0<α21, then let us define LipM(α1,α2) as|f(x,y)-f(x,y)|M|x-x|α1|y-y|α2;x,x,y,y[0,).

We have the following theorem.

Theorem 3

Let q=(qn1) and q=(qn2) be sequence satisfying qn11asn1 and qn21asn2, and let LipM(α1,α2),x0 and 0<α11,0<α21. Then(3.4) |Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|Mδn1α1/2(x)δn2α2/2(y),(3.4)

where δn1(x) and δn2(y) are defined in Theorem (2).

Proof

Since Ln1,n2(f;qn1,qn2,x,y) are linear positive operators and fLipM(α1,α2),x0 and 0<α11,0<α21, we can write|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|Ln1,n2(|f(x,y)-f(x,y)|;qn1,qn2,x,y)MLn1,n2(|x-x|α1|y-y|α2;qn1,qn2,x,y)=MLn1,n2(|x-x|α1;qn1,qn2,x,y)Ln1,n2(|y-y|α2;qn1,qn2,x,y).

If we take p1=2α1,p2=2α2,q1=22-α1,q2=22-α2, applying Hölder’s inequality, we obtain|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|(Ln1,n2((x-x)α1;qn1,qn2,x,y))α1/2(Ln1,n2(1;qn1,qn2,x,y))(2-α1)/2×(Ln1,n2((y-y)α2;qn1,qn2,x,y))α2/2(Ln1,n2(1;qn1,qn2,x,y))(2-α2)/2=Mδn1α1/2(x)δn2α2/2(y).

which is the required result.

In what follows we shall use the following notations:C1(I2)={fC(I2):fx,fyC(I2)}

andC2(I2)={fC(I2):fxx,fxy,fyx,fyyC(I2)},

respectively. We have the next result.

Theorem 4

Let fC1(I2),(x,y)J2 and qn1,qn2(0,1)such that qn11asn1 and qn21asn2. Then, we have(3.5) |Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|||fx||Iδn1(x)+||fy||Iδn2(y),(3.5)

where δn1(x) and δn2(y) are defined in Lemma 3.

Proof

Let (x,y)J2 be fixed point. Then, we can write for (t,s)I2 thatf(t,s)-f(x,y)=xtfu(u,s)du+ysfv(x,v)dv.

Now, applying the operator defined by (2.1) on both sides and Lemma 2, (i), we obtain|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|Ln1,n2(|xtfu(u,s)du|;qn1,qn2,x,y)+Ln1,n2(|ysfv(x,v)dv|;qn1,qn2,x,y)

Since |xtfu(u,s)du|||fx||I|t-x| and |ysfv(x,v)dv|||fy||I|s-y|, we have|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|||fx||ILn1,n2(|t-x|;qn1,qn2,x,y)+||fy||ILn1,n2(|s-y|;qn1,qn2,x,y)

Now, applying the Cauchy–Schwarz inequality|Ln1,n2(f;qn1,qn2,x,y)-f(x,y)|||fx||I{Ln1,n2((t-x)2;qn1,qn2,x,y)}1/2{Ln1,n2(1;qn1,qn2,x,y)}1/2+||fy||I{Ln1,n2((s-y)2;qn1,qn2,x,y)}1/2{Ln1,n2(1;qn1,qn2,x,y)}1/2||fx||Iδn1(x)+||fy||Iδn2(y).

This completes the proof of the theorem.

Acknowledgements

The authors would like to express their deep gratitude to the anonymous learned referee(s) and the editor for their valuable suggestions and constructive comments, which resulted in the subsequent improvement of this research article.

Additional information

Funding

The first author Preeti Sharma acknowledges the MHRD, New Delhi, India for supporting this research article. The second author Vishnu Narayan Mishra acknowledges that this project was supported by the Cumulative Professional Development Allowance(CPDA), SVNIT, Surat(Gujarat), India.

Notes on contributors

Preeti Sharma

Preeti Sharma is an assistant professor at Banasthali University and pursuing PhD in Mathematics from SVNIT, Surat under the supervision of Dr Vishnu Narayan Mishra. She received the MSc degree in Mathematics & Computing from Indian Institute of Technology Guwahati, in 2012. Her research interests are in the areas of Approximation Theory and Operator Theory.

Vishnu Narayan Mishra

Vishnu Narayan Mishra received the PhD in Mathematics from Indian Institute of Technology, Roorkee. His research interests are in the areas of pure and applied mathematics. He has published more than 100 research articles in reputed international journals of mathematical and engineering sciences. He is a referee and an editor of several international journals in frame of Mathematics. He guided many postgraduate and PhD students. Citations of his research contributions can be found in many books and monographs, PhD thesis and scientific journal articles.

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