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Research Article

Approximation properties of modified Szász–Mirakyan operators in polynomial weighted space

ORCID Icon, ORCID Icon & | (Reviewing Editor)
Article: 1106195 | Received 03 Aug 2015, Accepted 25 Sep 2015, Published online: 29 Oct 2015

Abstract

We introduce certain modified Szász–Mirakyan operators in polynomial weighted spaces of functions of one variable. We studied approximation properties of these operators.

2000 Mathematics subject classifications:

Public Interest Statement

In this work, we define new sequence of operators depending on a parameter. We prove that these newly defined sequence of operators are positive and linear. Using the moments of these operators, we estimate continuous signals (functions). The admissible value of the involved parameter allows us to make appropriate choice of it, in order to have better approximation. We approximate these sequence of operators in terms of the modulus of continuity and the modulus of smoothness in polynomial weighted space.

1. Introduction

Becker (Citation1978) studied approximation problems for functions fCp and Szász–Mirakyan operators(1.1) Sn(f,x)=e-nxk=0(nx)kk!fkn,(1.1) xR0=[0,), nN, where Cp with fixed pN0=N{0} is space generated by the weighted functionω0x=1,ωp(x)=1+xp-1ifp1,

for xR0, and Bp be the set of all functions f:R0R for which fωp is bounded on R0 and the norm is given by the following formula:fp=supxR0ωp(x)|f(x)|.

Moreover, Cp be the set of all fBp for which fωp is a uniformly continuous function on R0. The spaces Bp and Cp are called polynomial weighted spaces.

Becker (Citation1978) theorems on degree of approximation of fCp by the operators Sn were proved. From these theorems, it was deduced that(1.2) limnSn(f,x)=f(x),(1.2)

for every fCp, pN0 and xR0. Moreover, the convergence (1.2) is uniform on every interval [x1,x2], x1,x20.

Jain (Citation1972) introduced generalization of Szász–Mirakyan operators (1.1) with help of a Poisson type distribution, as follows:(1.3) Jn[β](f,x)=k=0ωβ(k,nx)fkn,(1.3)

where xR0:=[0,), nN, 0β<1 and(1.4) ωβ(k,α)=αk!(α+kβ)k-1e-(α+kβ)forαR0,kN0=N{0}.(1.4)

The convergence properties and degree of approximation properties of Jn[β] were examined by Jain (Citation1972) for fC(R0), the set of all real valued continuous functions f on R0. In the particular case β=0, Jn[β] turn out to well known the Szász–Mirakyan operators (Szász, Citation1950) which defined by (1.1). Kantorovich type extension of the operators (1.3) was discussed in Umar and Razi (Citation1985). Various other generalization and its approximation properties of similar type of operators are studied in Agratini (Citation2013,Citation2014), Mishra and Patel (Citation2013), Mishra, Khatri, Mishra, and Deepmala (Citation2013), Örkcü (Citation2013), Patel and Mishra (Citation2014,Citation2015), Rempulska and Tomczak (Citation2009), Tarabie (Citation2012), Bardaro and Mantellini (Citation2006,Citation2009). In this paper, we modify operators Jn[β] given by (1.3), i.e. we consider operators(1.5) Jn[β](f;an,bn;x)=k=0ωβ(k,anx)fkbn,xR0,nN(1.5)

for fC[0,), where (an)n=1 and bnn=1 are given increasing and unbounded numerical sequence such that an1, bn1 and anbn1 is non decreasing and(1.6) anbn=1+o1bn.(1.6)

If an=bn=n for all nN, then the operators (1.5) reduce to the operators (1.3).

The paper is organized as follows. In our manuscript, we shall study approximation properties of operators (1.5). In Section 2, we shall examine moments of the operators Jn[β](f;an,bn;x). We discuss approximation properties of the operators (1.5) in Section 3. We mention Kantorovich type extension of the operators Jn(f;an,bn;x) for further research.

2. Moments of Jn[β](f;an,bn;x)

In order to obtain moments of Jn[β](f;an,bn;x), we need some background results, which are as follows:

Lemma 1

(Jain, Citation1972) Let 0<α<, 0β<1 and let the generalized Poisson distribution given by (1.4). Then(2.1) k=0ωβ(α,k)=1.(2.1)

Lemma 2

(Jain, Citation1972) Let 0<α<, 0β<1. Suppose thatS(r,α,β):=k=0(α+βk)k+r-1e-(α+βk)k!,r=0,1,2,

andαS(0,α,β):=1.

Then(2.2) S(r,α,β)=αS(r-1,α,β)+βS(r,α+β,β).(2.2)

Also,(2.3) S(r,α,β)=k=0βk(α+kβ)S(r-1,α+kβ,β).(2.3)

From (2.2) and (2.3), when 0β<1, we get(2.4) S(1,α,β)=11-β;S(2,α,β)=α(1-β)2+β2(1-β)3;S(3,α,β)=α2(1-β)3+αβ2(1-β)4+β3+2β4(1-β)5;S(4,α,β)=α3(1-β)4+6α2β2(1-β)5+4αβ3+11αβ4(1-β)6+β4+8β5+6β6(1-β)7.(2.4)

In the following lemma, we have computed moments up to fourth order.

Lemma 3

Let 0β<1, then the following equalities hold:

(1)

Jn[β](1;an,bn;x)=1;

(2)

Jn[β](t;an,bn;x)=anxbn(1-β);

(3)

Jn[β](t2;an,bn;x)=x2an2(1-β)2bn2+xan(1-β)3bn2;

(4)

Jn[β](t3;an,bn;x)=x3an3(1-β)3bn3+3x2an2(1-β)4bn3+x(1+2β)an(1-β)5bn3;

(5)

Jn[β](t4;an,bn;x)=x4an4(1-β)4bn4+6x3an3(1-β)5bn4+x2(7+8β)an2(1-β)6bn4+x1+8β+6β2an(1-β)7bn4.

Proof

Using equalities (2.1), (2.4–2.7) and by simple commutation, we obtainJn[β](1;an,bn;x)=k=0ωβ(k,anx)=1;Jn[β](t;an,bn;x)=anxbnk=01k!(anx+kβ+β)ke-(anx+kβ+β)=anxbnS(1,anx+β,β)=anxbn(1-β);Jn[β](t2;an,bn;x)=k=0anxk!(anx+kβ)k-1e-(anx+kβ)k2bn2=anxbn2S(1,anx+β,β)+S(2,anx+2β,β)=anxbn211-β+anx+2β(1-β)2+β2(1-β)3=x2an2(1-β)2bn2+xan(1-β)3bn2;Jn[β](t3;an,bn;x)=k=0anxk!(anx+kβ)k-1e-(anx+kβ)k3bn3=anxbn3S(1,anx+β,β)+3S(2,anx+2β,β)+S(3,anx+3β,β)=x3an3(1-β)3bn3+3x2an2(1-β)4bn3+x(1+2β)an(1-β)5bn3;Jn[β](t4;an,bn;x)=k=0anxk!(anx+kβ)k-1e-(anx+kβ)k4bn4=anxbn4S(1,anx+β,β)+7S(2,anx+2β,β)+6S(3,anx+3β,β)+S(4,anx+4β,β)=x4an4(1-β)4bn4+6x3an3(1-β)5bn4+x2(7+8β)an2(1-β)6bn4+x1+8β+6β2an(1-β)7bn4.

Lemma 4

Let 0β<1, then the following equalities hold:

(1)

Jn[β](t-x;an,bn;x)=anbn(1-β)-1x;

(2)

Jn[β]((t-x)2;an,bn;x)=x2an(1-β)bn-12+xan(1-β)3bn2;

(3)

Jn[β]((t-x)3;an,bn;x)=x3an(1-β)bn-13+3x2anbn2(1-β)3an(1-β)bn-1+xan(1+2β)(1-β)5bn3;

(4)

Jn[β]((t-x)4;an,bn;x)=x4an(1-β)bn-14+6anx3(1-β)3bn2an(1-β)bn-12+anx2(1-β)5bn3an(7+8β)(1-β)bn-4-8β+xan(1+8β+6β2)(1-β)7bn4.

Proof of the above lemma, follows from the linearity of the operators Jn[β](f;an,bn;x).

By equality (1.6) and limnβn=0, we obtainlimnbnJn[βn](t-x;an,bn;x)=0;limnbnJn[βn]((t-x)2;an,bn;x)=x;limnbnJn[βn]((t-x)3;an,bn;x)=0;limnbn2Jn[βn]((t-x)4;an,bn;x)=3x2,

for every xR0.

3. Approximation properties

Lemma 5

Let rN be fixed number. Then there exist positive numerical coefficients λr,j,β, 1jr, depending only on r and j such thatJn[β](tr;an,bn;x)=1bnr(1-β)rj=1rλr,j,β(1-β)j-1(anx)j,

for all xR0 and nN. Moreover, we have λr,1,β=1=λr,r,β.

The proof follows by a mathematical induction argument.

Lemma 6

For given pN0 and (an)n=1 and (bn)n=1 there exists a positive constant M1(b1,p,β) such that(3.1) Jn[β]1ωp(t);an,bn;·pM1(b1,p,β),nN.(3.1)

Moreover, for every fCp, we have(3.2) Jn[β](f;an,bn;·)pM1(b1,p,β)fp,nN.(3.2)

The formula (1.4), (1.5) and the inequality (3.2), show that Jn[β], nN is a positive linear operator from the space Cp into Cp, pN0.

Proof

If p=0, then Jn[β]1ω0(t);an,bn;·0=supxR0|Jn[β](1;an,bn;x)|=1.

If p1, then by (1.5), (1.6), Lemma 3 and Lemma 5, we getωp(x)Jn[β]1ωp(t);an,bn;x=ωp(x)1+Jn[β](tp;an,bn;x)=11+xp1+1bnp(1-β)pj=1pλr,j,β(1-β)j-1(anx)j=11+xp+1(1-β)pj=1pλr,j,β(1-β)j-11bnp-janbnjxj1+xp1+1(1-β)pj=1pλr,j,β(1-β)j-11b1p-j=M1(b1,p,β),

for all xR0 and nN. From this, (3.1) follows.

By (1.5) and definition of norm, we haveJn[β](f;an,bn;·)pJn[β](1ωp(t);an,bn;·)pfp,

for every fCp, pN and nN. From (3.1), the inequalities (3.2) is achieved.

Theorem 1

For every pN0 there exists a positive constant M2(b1,p,β) such that(3.3) ωp(x)Jn[β](t-x)2ωp(t);an,bn;xM2(b1,p,β)x2an(1-β)bn-12+x(1-β)3bn,(3.3)

for all xR0 and nN.

Proof

If p=0, then (3.3) follows from values of Jn[β](t-x)2;an,bn;x.

Let Jn[β]f;x=Jn[β]f;an,bn;x. Notice that(3.4) Jn[β](t-x)2ωp(t);x=Jn[β](t-x)2;x+Jn[β]tp(t-x)2;x.(3.4)

For p=1, we getJn[β](t-x)2ω1(t);x=Jn[β](t-x)2;x+Jn[β]t(t-x)2;x=Jn[β](t-x)2;x+Jn[β](t-x)3;x+xJn[β](t-x)2;x=(1+x)Jn[β](t-x)2;x+Jn[β](t-x)3;x.

Therefore,(1+x)Jn[β](t-x)2ω1(t);x=x2an(1-β)bn-12+xan(1-β)3bn2+x31+xan(1-β)bn-13+3x2an(1+x)bn2(1-β)3an(1-β)bn-1+xan(1+2β)(1+x)(1-β)5bn3M2(b1,p,β)x2an(1-β)bn-12+x(1-β)3bn.

If p2, then by Lemma 5, we getωp(x)Jn[β]tp(t-x)2;x=ωp(x)Jn[β]tp+2;x-2xJn[β]tp+1;x+x2Jn[β]tp;x=xbn(1-β)1bnp+1(1-β)p+1j=1p+1λp+2,j,β(1-β)j-1anjxj-11+xp-2bnp(1-β)pj=1pλp+1,j,β(1-β)j-1anjxj1+xp+1bnp-1(1-β)p-1j=1p-1λp,j,β(1-β)j-1anjxj+11+xp+1(1-β)2p+3anbnp+2xp+21+xp-2(1-β)2p+1anbnp+1xp+21+xp+1(1-β)2p-1anbnpxp+21+xp=xbn(1-β)1bnp+1(1-β)p+1j=1p+1λp+2,j,β(1-β)j-1anjxj-11+xp-2bnp(1-β)pj=1pλp+1,j,β(1-β)j-1anjxj1+xp+1bnp-1(1-β)p-1j=1p-1λp,j,β(1-β)j-1anjxj+11+xp+xp+21+xpanbnp1(1-β)2p-1anbn(1-β)-12.

Since 0anbn1 for nN, (1-β)-1(1-β)-3, we have(3.5) ωp(x)Jn[β]tp(t-x)2;xxbn(1-β)3j=1p+1λp+2,j,βb1p-j+1(1-β)p+j+2j=1pλp+1,j,βb1p-j(1-β)p+j-1+j=1p-1λp,j,βb1p-j-1(1-β)p+j-2+x2(1-β)2p-1anbn(1-β)-12.M2(b1,p,β)x2anbn(1-β)-12+xbn(1-β)3.(3.5)

for xR0, nN. Using (3.5) in (3.4), we obtain (3.3) for p2.

Thus, the proof is completed.

Now, we approximate Jn[β]f;an,bn;x using the modulus of continuity ω1(f,Cp) and the modulus of smoothness ω2(f,Cp) of function fCp, pN0ω1(f,Cp,t):=sup0hthf(·)p,ω2(f,Cp,t):=sup0hth2f(·)p,

for t0, wherehf(x)=f(x+h)-f(x),h2f(x)=f(x)-2f(x+h)+f(x+2h).

Let(3.6) ξn,β(x)=x2anbn(1-β)-12+xbn(1-β)3,xR0,xN.(3.6)

Theorem 2

Suppose that fCp2 with a fixed pN0. Then there exists a positive constant M3(b1,p,β) such that(3.7) ωp(x)|Jn[β]f;an,bn;x-f(x)|fp|anbn(1-β)-1|x+fpM3(b1,p,β)ξn,β(x),(3.7)

for all xR0, nN.

Proof

Notice that Jn[β]0;an,bn;x=f(0),nN, which implies (Equation3.7) for x=0.

Let x>0 and let Jn[β](f;x)=Jn[β]f;an,bn;x. For fCp2 and tR0,(3.8) f(t)=f(x)+f(x)(t-x)+xt(t-u)f(u)du.(3.8)

Applying Jn[β](f;x) on both sides, we obtainJn[β](f(t);x)=f(x)+f(x)Jn[β]((t-x);x)+Jn[β]xt(t-u)f(u)du;x.

Notice thatxt(t-u)f(u)dufp1ωp(t)+1ωp(x)(t-x)2.

Now, using above inequality, we haveωp(x)|Jn[β](f(t);x)-f(x)|fpJn[β]((t-x);x)+fpωp(x)Jn[β]1ωp(t)+1ωp(x)(t-x)2;xfpJn[β]((t-x);x)+fpωp(x)Jn[β](t-x)2ωp(t);x+Jn[β](t-x)2;x.

Now, using (3.3) and (3.6), we getωp(x)|Jn[β](f(t);x)-f(x)|fp|anbn(1-β)-1|x+fpξn,β(x)M3(b1,n,β).

Thus, the proof is completed.

Corollary 1

Let ρ(x)=(1+x2)-1, xR0. Suppose that fCp2 with a fixed p=2. Then there exists a positive constant M4(b1,p,β) such that(3.9) [Jn[β](f;an,bn;x)-f(x)]ρ21-anbn(1-β)f2+M4(b1,p,β)f2bn-1(1-β)-3,nN(3.9)

Theorem 3

Suppose that fCp with a fixed pN0. Then there exists a positive constant M5(b1,p,β) such thatωp|Jn[β](f;an,bn;x)-f(x)||anbn(1-β)-1|xξn,β(x)-1/2ω1f;Cp;ξn,β(x)+M5(b1,p,β)ω2f;Cp;ξn,β(x),

for all x>0 and nN, where ξn,β(·) is defined in (3.6). For x=0, it follows that Jn[β](f;an,bn;0)=f(0).

Proof: We shall apply the Steklov function fh for fCp:fh(x)=4h20h/20h/2f(x+s+t)-f(x+2(s+t))dsdt,xR0, h>0, for which we havefh(x)=1h20h/28h/2f(x+s)-2hf(x+2s)ds,fh(x)=1h28h/22f(x)-h2f(x).

Hence, for h>0, we have(3.10) fh-fpω2(f,Cp;h),(3.10) (3.11) fhp5h-1ω1(f,Cp;h)ωp(x)ωp(x+h),(3.11) (3.12) fhp9h-2ω2(f,Cp;h),(3.12)

which show that fhCp2 if fCp. By denoting Jn[β](f;an,bn;x) by Jn[β](f;x) we can writeωp(x)|Jn[β](f;x)-f(x)|ωp(x)|Jn[β](f-fh;x)|+|Jn[β](fh;x)-fh(x)|+|fh(x)-f(x)|:=A1+A2+A3,

for x>0, h>0 and nN. By (3.2) and (3.9), we haveA1M1(b1,p,β)f-fhpM1(b1,p,β)ω2(f,Cp;h),A3ω2(f,Cp;h).

Applying Theorem 2, inequalities (3.10) and (3.11), we getA2fp|anbn(1-β)-1|x+fpM3(b1,p,β)ξn,β(x)ω1(f,Cp;h)ωp(x)ωp(x+h)5xh|anbn(1-β)-1|+9h2ω2(f,Cp;h)M3(b1,p,β)ξn,β(x)

Combining these and setting h=ξn,β(x), for fixed x>0 and nN, we obtain the desired result.

Theorem 4

Let fCp, pN0, and let ρ(x)=(1+x2)-1 for xR0. Then there exists a positive constant M6(b1,p,β) such thatJn[β](f;an,bn;x)-fρp1-anbn(1-β)bnω1f,Cp;1/bn(1-β)3+M6(b1,p,β)ω2f,Cp;1/bn(1-β)3,nN.

From Theorems 3 and 4, we derive the following corollary:

Corollary 2

Let fCp, pN0, βn0 as n. Then for Jn[βn] defined by (1.5), we have(3.13) limnJn[βn](f;an,bn;x)=f(x),xR0.(3.13)

Furthermore, the convergence of (3.12) is uniformly on every interval [x1,x2], where x2>x10.

Remark 1

The error of approximation of a function fCp,pN0 by Jnβf;an,bn;. where an=nr+1n and bn=nr,r>1 is smaller than by the operators ().

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Prashantkumar Patel

Prashantkumar Patel is an assistant professor at SXCA and doing the PhD in Mathematics from NIT, Surat under VNM. His area of scientific interest includes approximation theory with positive linear operators and q-calculus which is proved by his research articles.

Vishnu Narayan Mishra

Vishnu Narayan Mishra received the PhD in Mathematics from IIT, Roorkee. His research interests are in the areas of pure and applied mathematics. He has published more than 90 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.

Mediha Örkcü

Mediha Örkcü received the PhD in Mathematics from Gazi University Institute of Science Department of Mathematics during 2007–2011. Her research interest is Approximation theory. She has published many research articles in reputed international journals of Mathematics.

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