Research article

Some approximation results for the new modification of Bernstein-Beta operators

  • Received: 30 June 2021 Accepted: 27 October 2021 Published: 03 November 2021
  • MSC : 41A25, 41A36, 47A58

  • This paper deals with the newly modification of Beta-type Bernstein operators, preserving constant and Korovkin's other test functions ei=ti, i=1,2 in limit case. Then the uniform convergence of the constructed operators is given. The rate of convergence is obtained in terms of modulus of continuity, Peetre-K functionals and Lipschitz class functions. After that, the Voronovskaya-type asymptotic result for these operators is established. At last, the graphical results of the newly defined operators are discussed.

    Citation: Qing-Bo Cai, Melek Sofyalıoğlu, Kadir Kanat, Bayram Çekim. Some approximation results for the new modification of Bernstein-Beta operators[J]. AIMS Mathematics, 2022, 7(2): 1831-1844. doi: 10.3934/math.2022105

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  • This paper deals with the newly modification of Beta-type Bernstein operators, preserving constant and Korovkin's other test functions ei=ti, i=1,2 in limit case. Then the uniform convergence of the constructed operators is given. The rate of convergence is obtained in terms of modulus of continuity, Peetre-K functionals and Lipschitz class functions. After that, the Voronovskaya-type asymptotic result for these operators is established. At last, the graphical results of the newly defined operators are discussed.



    Approximation theory, an old area of mathematical research, has an extensive potential for applications to a wide variety of areas. Bernstein operators are one of the most widely-investigated linear and positive operators in the theory of approximation. Bernstein operators are defined by [2] as

    Bm(k;x)=mp=0(mp)xm(1x)mpk(pm),m1 (1.1)

    for function kC[0,1] and x[0,1]. After that, numereous variations of linear positive operators are studied by researchers such as [3,4,5,6,7,8,11,12,13,14,15,16,17].

    In 2020, Usta [18] introduced a new modification of Bernstein operators. For kC(0,1), mN and x(0,1)

    Bm(k;x)=1mmp=0(mp)(pmx)2xp1(1x)mp1k(pm). (1.2)

    In this modification, the constructed operators preserve constant test function and Korovkin's other test functions ti, i=1,2 in limit case. Usta [18] gave Bm(e0;x)=1, Bm(e1;x)=m2mx+1m, Bm(e2;x)=m27m+6m2x2+5m6m2x+1m2 and the approximation results of the Bm(k;x) operators. Motivated by this work, we develop a Beta-type modification of Bernstein operators. The newly constructed Bernstein-Beta operators are presented for kC[0,1] as follows:

    ~Bm(k;x)=1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)10up(1u)mpk(u)du, (1.3)

    where x(0,1), mN and β(p+1,mp+1) denotes the Beta function. For r,s>0 Beta function is defined by

    β(r,s)=10ur1(1u)s1du. (1.4)

    We can easily see that for a,bR and k,fC[0,1]

    ~Bm(ak+bf;x)=1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mp(ak(u)+bf(u))du=1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mp(ak(u))du+1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mp(bf(u))du=a~Bm(k;x)+b~Bm(f;x).

    Also, for k0, ~Bm(k;x)0. Thus, ~Bm(k;x) operators are linear and positive.

    Lemma 2.1. For each x(0,1), we obtain

    ~Bm(e0;x)=1,~Bm(e1;x)=m2m+2x+2m+2,~Bm(e2;x)=(m6)(m1)(m+3)(m+2)x2+8m12(m+3)(m+2)x+6(m+3)(m+2),~Bm(e3;x)=(m1)(m2)(m12)(m+4)(m+3)(m+2)x3+18(m4)(m1)(m+4)(m+3)(m+2)x2+18(3m4)(m+4)(m+3)(m+2)x+24(m+4)(m+3)(m+2),~Bm(e4;x)=(m1)(m2)(m3)(m20)(m+5)(m+4)(m+3)(m+2)x5x1(m1)(m2)(m255m+300)(m+5)(m+4)(m+3)(m+2)x4x1+8(m1)(4m265m+150)(m+5)(m+4)(m+3)(m+2)x3x124(m5)(9m10)(m+5)(m+4)(m+3)(m+2)x2x1+579363m(m+5)(m+4)(m+3)(m+2)xx1120(m+5)(m+4)(m+3)(m+2)1x1

    where ei=ti for i=0,1,2,3,4.

    Proof. By using the definition of Beta function (1.4), it is clear that

    ~Bm(e0;x)=Bm(e0;x)=1.

    For i=1, k(t)=t,

    ~Bm(e1;x)=1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)10up+1(1u)mpdu=1mmp=0(mp)(pmx)2xp1(1x)mp1β(p+2,mp+1)β(p+1,mp+1)=1mmp=0(mp)(pmx)2xp1(1x)mp1p+1m+2=mm+2Bm(e1;x)+1m+2Bm(e0;x)=mm+2(m2mx+1m)+1m+2=m2m+2x+2m+2.

    For i=2, k(t)=t2,

    ~Bm(e2;x)=1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)10up+2(1u)mpdu=1mmp=0(mp)(pmx)2xp1(1x)mp1β(p+3,mp+1)β(p+1,mp+1)=1mmp=0(mp)(pmx)2xp1(1x)mp1p2+3p+2(m+3)(m+2)=m2(m+3)(m+2)Bm(e2;x)+3m(m+3)(m+2)Bm(e1;x)+2(m+3)(m+2)Bm(e0;x)=m2(m+3)(m+2)(m27m+6m2x2+5m6m2x+1m2)+3m(m+3)(m+2)(m2mx+1m)+2(m+3)(m+2)=(m6)(m1)(m+3)(m+2)x2+8m12(m+3)(m+2)x+6(m+3)(m+2).

    The proofs of ~Bm(e3;x) and ~Bm(e4;x) can be obtained in the same manner.

    Lemma 2.2. For each x(0,1), we write

    ~Bm(tx;x)=4m+2x+2m+2,~Bm((tx)2;x)=4(m6)(m+3)(m+2)x2+4m24(m+3)(m+2)x+6(m+3)(m+2),~Bm((tx)4;x)=3(m+5)(m+4)(m+3)(m+2)1x1{4(16093m+3m2)x512(16093m+3m2)x4+4(560303m+9m2)x34(320141m+3m2)x2+(35389m)x40}. (2.1)

    Proof. By using following equalities

    ~Bm(tx;x)=~Bm(e1;x)x~Bm(1;x),~Bm((tx)2;x)=~Bm(e2;x)2x~Bm(e1;x)+x2~Bm(1;x),~Bm((tx)4;x)=~Bm(e4;x)4x~Bm(e3;x)+6x2~Bm(e2;x)4x3~Bm(e1;x)+x4~Bm(1;x),

    we finish the proof of the lemma.

    Remark 1. We have the following results

    limmm~Bm(tx;x)=4x+2, (2.2)
    limmm~Bm((tx)2;x)=4x(1x), (2.3)
    limmm2~Bm((tx)4;x)=36(x1)2x2. (2.4)

    Let the Banach space of all continuous functions k on [0,1] is denoted by C[0,1] endowed with the norm

    k=maxx(0,1)|k(x)|.

    Theorem 3.1. For every kC[0,1]

    ~Bm(k;x)k(x)0, (3.1)

    uniformly as m.

    Proof. It can be seen easily from Lemma 2.1 that

    limm~Bm(ei;x)=xi,i=0,1,2.

    Then we apply Korovkin's theorem [19], which concludes the proof.

    For kC[0,1], the modulus of continuity is given by

    ω(k,δ):=sup|tx|δsup x(0,1)|k(t)k(x)|,δ>0.

    Additionally, modulus of continuity of the function k has the following property [1]:

    |k(t)k(x)|(1+(tx)2δ2)ω(k,δ),δ>0. (4.1)

    Theorem 4.1. For each x(0,1) and kC[0,1], we have

    |~Bm(k;x)k(x)|2ω(k,δm), (4.2)

    where

    δm(x)=4(m6)x2+4(m6)x+6(m+3)(m+2). (4.3)

    Proof. By using the linearity of the ~Bm operators and Eq (4.1), we obtain

    |~Bm(k;x)k(x)|=|1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mpk(u)duk(x)|1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mp|k(u)k(x)|du1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)×10up(1u)mp(1+(ux)2δ2)ω(k,δ)du=(1+1δ24(m6)x2+4(m6)x+6(m+3)(m+2))ω(k,δ).

    If we choose

    δ=δm=4(m6)x2+4(m6)x+6(m+3)(m+2)

    then we arrive at

    |~Bm(k;x)k(x)|2ω(k,4(m6)x2+4(m6)x+6(m+3)(m+2)),

    which is the required result.

    Right now, we show the rate of convergence of ~Bm(k;x) by using the function k, which belongs to Lipschitz class. A function k is said to be in the Lipschitz class kLipK(c) if the inequality

    |k(t)k(x)|K|tx|c;t,x(0,1) (4.4)

    holds. Hölder inequality [10] is defined as for p>1 and 1p+1q=1

    mr=0|ξrηr|(mr=0(ξr)p)1p(mr=0(ηr)q)1q. (4.5)

    Theorem 4.2. Let kLipK(c) and 0<c1 then we write

    |~Bm(k;x)k(x)|Kδcm(x),

    where δm(x) is the same as (4.3).

    Proof. Let k belongs to Lipschitz class LipK(c) and 0<c1. From (4.4) and by using the linearity and monotonicity of the operators ~Bm, we get

    |~Bm(k;x)k(x)|~Bm(|k(t)k(x)|;x)K~Bm(|tx|c;x).

    By choosing p=2c, q=22c in the Hölder inequality, we get

    |~Bm(k;x)k(x)|K{~Bm((tx)2;x)}c2Kδcm(x).

    Here, δm(x) is as given in (4.3). Thus, we write

    |~Bm(k;x)k(x)|K(4(m6)x2+4(m6)x+6(m+3)(m+2))c2.

    Now, the rate of convergence of the newly constructed operators ~Bm(k;x) is investigated by using the Peetre-K functionals.

    Lemma 4.3. For x(0,1) and kC[0,1], we obtain

    |~Bm(k;x)|||k||. (4.6)

    Proof. From the definition of ~Bm(k;x) operators, we have

    |~Bm(k;x)|=|1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)10up(1u)mpk(u)du|1mmp=0(mp)(pmx)2xp1(1x)mp11β(p+1,mp+1)10up(1u)mp|k(u)|du||k||~Bm(1;x)=||k||.

    Let C2[0,1] be the space of the functions k, for which k,k and k are continuous on [0,1]. We write the norm of function k in this space as follows:

    kC2[0,1]=kC[0,1]+kC[0,1]+kC[0,1].

    The classical Peetre-K functional is defined as

    K(k,δ):=infuC2[0,1]{kuC[0,1]+δuC[0,1]}

    and second modulus of smoothness of the function is given by

    ω2(k,δ):=sup0<h<δ supx,x+h(0,1)|k(x+2h)2k(x+h)+k(x)|

    where δ>0. By DeVore and Lorentz [9], it is known that for M>0

    K(k,δ)Mω2(k,δ). (4.7)

    Theorem 4.4. Let x(0,1) and kC[0,1]. Then for each mN, there exists a positive constant M such that

    |~Bm(k;x)k(x)|Mω2(k,αm(x))+2ω(k,βm(x)).

    Here

    αm(x)=18(12x)24s2(1+x)x+8s(13x+3x2)(2+s)2(3+s)

    and

    βm(x)=|4x+2m+2|.

    Proof. We introduce the proof by defining an auxiliary operator Bm:C[0,1]C[0,1] by

    Bm(s;x)=~Bm(s;x)s((m2)x+2m+2)+s(x). (4.8)

    From Lemma 2.1, we have

    Bm(1;x)=1,Bm(tx;x)=~Bm((tx);x)((m2)x+2m+2x)+xx=4m+2x+2m+2((m2)x+2m+2x)+xx=0. (4.9)

    For sC2[0,1], we write by using the Taylor expansion that

    s(t)=s(x)+(tx)s(x)+tx(tu)s(u)du,t(0,1). (4.10)

    Applying Bm operator to both sides of the equation (4.10), we obtain

    Bm(s;x)=Bm(s(x)+(tx)s(x)+tx(tu)s(u)du)=s(x)+Bm((tx)s(x);x)+Bm(tx(tu)s(u)du).

    So,

    Bm(s;x)s(x)=s(x)Bm((tx);x)+Bm(tx(tu)s(u)du).

    By using (4.9) and (4.8), we achieve

    Bm(s;x)s(x)=Bm(tx(tu)s(u)du)=~Bm(tx(tu)s(u)du)(m2)x+2m+2x((m2)x+2m+2u)s(u)du+xx((m2)x+2m+2u)s(u)du. (4.11)

    Furthermore

    |tx(tu)s(u)du|tx|tu||s(u)|du||s||tx|tu|du(tx)2||s||, (4.12)

    and

    |(m2)x+2m+2x((m2)x+2m+2u)s(u)du|||s||(m2)x+2m+2x((m2)x+2m+2u)du=||s||2((m2)x+2m+2x)2=||s||2((m2)x+2m+2x)2. (4.13)

    When we rewrite (4.12) and (4.13) in the absolute value of (4.11). Then we get

    |Bsm(s;x)s(x)|||s||~Bm((tx)2;x)+||s||2((m2)x+2m+2x)2=||s||(~Bm((tx)2;x)+12((m2)x+2m+2x)2)=||s||α2m(x),

    where

    αm(x)=~Bm((tx)2;x)+12((m2)x+2m+2x)2=18(12x)24s2(1+x)x+8s(13x+3x2)(2+s)2(3+s).

    Right now, we will try to find a bound for the auxiliary operator Bm(s;x). In the light of the Lemma 4.3 and using Cauchy-Schwarz inequality we obtain

    |Bm(s;x)|=|~Bm(s;x)s((m2)x+2m+2)+s(x)||~Bm(s;x)|+|s((m2)x+2m+2)|+|s(x)|3||s||.

    Consequently,

    |~Bm(k;x)k(x)|=|Bm(k;x)k(x)+k((m2)x+2m+2)k(x)+s(x)s(x)+Bm(s;x)Bm(s;x)||Bm(ks;x)(ks)(x)|+|Bm(s;x)s(x)|+|k((m2)x+2m+2)k(x)|4||ks||+||s||α2m(x)+ω(k,βm(x))(|(m2)x+2m+2x|βm(x)+1)=4(||ks||+||s||α2m(x))+2ω(k,|(m2)x+2m+2x|), (4.14)

    where

    βm(x)=|(m2)x+2m+2x|=|4x+2m+2|.

    So, for all kC2[0,1] by taking the infimum of the Eq (4.14), we get

    |~Bm(k;x)k(x)|4K(s,α2m(x))+2ω(k,βm(x)). (4.15)

    As a result, using Eq (4.7), we obtain

    |~Bm(k;x)k(x)|Mω2(k,αm(x))+2ω(k,βm(x)). (4.16)

    Thusly, the proof is finished.

    In 1932, Voronovskaya [20] obtained the convergence rate of the Bernstein operators (1.1) to the function k. In this part, we derive a Voronovskaya-type asymptotic formula for ~Bm(k;x) operators.

    Theorem 5.1. Let k be integrable on the interval (0,1), also k and k exist at a fixed point x(0,1). Then we have

    limmm(~Bm(k;x)k(x))=(4x+2)k(x)2x(1x)k(x). (5.1)

    Proof. By using the well-known Taylor's formula, we write

    k(t)=k(x)+(tx)k(x)+(tx)22k(x)+R(t,x)(tx)2. (5.2)

    Here, R(t,x):=k(ξ)k(x)2 is the remainder term. ξ is situated between x and t. Also, limtxR(t,x)=0. When we apply ~Bm operators to (5.2), we obtain

    ~Bm(k;x)k(x)=k(x)~Bm((tx);x)+k(x)2~Bm((tx)2;x)+~Bm(R(t,x)(tx)2;x). (5.3)

    By multiplying (5.3) by m and take the limit as m goes to infinity, we achieve

    limmm(~Bm(k;x)k(x))=limmmk(x)~Bm((tx);x)+limmmk(x)2~Bm((tx)2;x)+limmm~Bm(R(t,x)(tx)2;x).

    By taking into consideration Eqs (2.2) and (2.3), we obtain

    limmmk(x)~Bm((tx);x)=k(x)limmm~Bm((tx);x)=k(x)(4x+2)

    and

    limmmk(x)2~Bm((tx)2;x)=k(x)2limmm~Bm((tx)2;x)=k(x)2(4x(1x)).

    Thus we have

    limmm(~Bm(k;x)k(x))=(4x+2)k(x)2x(1x)k(x)+limmm~Bm(R(t,x)(tx)2;x). (5.4)

    By using the Cauchy-Schwarz inequality for the remainder term, we write

    m~Bm(R(t,x)(tx)2;x)m2~Bm(R2(t,x);x)~Bm((tx)4;x). (5.5)

    We already know the term ~Bm((tx)4;x) from Eq (2.1). Since R2(.,x) is continuous at t(0,1) and limtxR(t,x)=0, we observe that

    limm~Bm(R2(t,x);x)=R2(x,x)=0. (5.6)

    Hence, by using (2.1), (5.5), (5.6) and positivity of the linear operators ~Bm, we have

    limmm~Bm(R(t,x)(tx)2;x)=0. (5.7)

    Finally, by substituting (5.7) in (5.4), we achieve

    limmm(~Bm(k;x)k(x))=(4x+2)k(x)2x(1x)k(x),

    which is the desired result.

    In last section, we give the convergence behaviour of the newly constructed operators ~Bm with function k.

    Example 1. Let the function k be

    k(x)=1cos(4ex).

    The convergence behaviour of the operators ~Bm(k;x) is illustrated in Figure 1, where k(x)=1cos(4ex), x(0,1) and m{100,300,500,1000}.

    Figure 1.  Convergence of ~Bm(k;x) for different values of m.

    The error estimation for operators ~Bm(k;x) to the function k(x)=1cos(4ex) is presented in Table 1 for different values of m.

    Table 1.  Error comparison table of ~Bm(k;x).
    m max|~Bm(k;x)k(x)|
    100 0.22148
    300 0.082166
    500 0.050427
    1000 0.025653

     | Show Table
    DownLoad: CSV

    Example 2. Let the function k be chosen as

    k(x)=(x14)(x12)(x34).

    We have shown the convergence behaviour of the ~Bm(k;x) Bernstein-Beta operators to the function k in Figure 2 for m{20,50,100,200}.

    Figure 2.  Convergence behaviour of ~Bm(k;x).

    The error results of the operators ~Bm(k;x) to the function k(x)=(x14)(x12)(x34) are given in Table 2 for different values of m.

    Table 2.  Error comparison table of ~Bm(k;x).
    m max|~Bm(k;x)k(x)|
    20 0.04621
    50 0.02309
    100 0.01251
    200 0.00652

     | Show Table
    DownLoad: CSV

    When we investigate these two examples, we understand that for the increasing values of m, the graph of the operators ~Bm(k;x) goes to the graph of the function k.

    This work is supported by the Natural Science Foundation of Fujian Province of China (Grant No. 2020J01783), the Project for High-level Talent. Innovation and Entrepreneurship of Quanzhou (Grant No. 2018C087R) and the Program for New Century Excellent Talents in Fujian Province University. We also thank Fujian Provincial Big Data Research Institute of Intelligent Manufacturing of China.

    The authors declared there is no conflict of interest associated with this work.



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