Volume 10 (2009), Issue 3, Article 61, 8 pp. APPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS L. REMPULSKA AND S. GRACZYK I NSTITUTE OF M ATHEMATICS P OZNAN U NIVERSITY OF T ECHNOLOGY UL . P IOTROWO 3 A , 60-965 P OZNAN P OLAND lucyna.rempulska@put.poznan.pl szymon.graczyk@pisop.org.pl Received 23 December, 2008; accepted 28 May, 2009 Communicated by I. Gavrea A BSTRACT. We introduce the modified Szász-Mirakyan operators Sn;r related to the Borel methods Br of summability of sequences. We give theorems on approximation properties of these operators in the polynomial weight spaces. Key words and phrases: Szász-Mirakyan operator, Polynomial weight space, Order of approximation, Voronovskaya type theorem. 2000 Mathematics Subject Classification. 41A36, 41A25. 1. I NTRODUCTION The approximation of functions by Szász-Mirakyan operators ∞ X (nx)k k −nx (1.1) Sn (f ; x) := e f , x ∈ R0 , n ∈ N, k! n k=0 (R0 = [0, ∞), N = {1, 2, ...}) has been examined in many papers and monographs (e.g. [11], [1], [2], [4], [5]). The above operators were modified by several authors (e.g. [3], [6], [9], [10], [12]) which showed that new operators have similar or better approximation properties than Sn . M. Becker in the paper [1] studied approximation problems for the operators Sn in the polynomial weight space Cp , p ∈ N0 = N ∪ {0}, connected with the weight function wp , (1.2) w0 (x) := 1, wp (x) := (1 + xp )−1 if p ∈ N, for x ∈ R0 . The Cp is the set of all functions f : R0 → R (R = (−∞, ∞)) for which f wp is uniformly continuous and bounded on R0 and the norm is defined by (1.3) kf kp ≡ kf (·)kp := sup wp (x)|f (x)|. x∈R0 003-09 2 L. R EMPULSKA AND S. G RACZYK The space Cpm , m ∈ N, p ∈ N0 , of m-times differentiable functions f ∈ Cp with derivatives f (k) ∈ Cp , 1 ≤ k ≤ m, and the norm (1.3) was considered also in [1]. In [1] it was proved that Sn is a positive linear operator acting from the space Cp to Cp for every p ∈ N0 . Moreover, for a fixed p ∈ N0 there exist Mk (p) = const. > 0, k = 1, 2, depending only on p such that for every f ∈ Cp there hold the inequalities: (1.4) kSn (f )kp ≤ M1 (p)kf kp n ∈ N, for and (1.5) wp (x) |Sn (f ; x) − f (x)| ≤ M2 (p)ω2 r x , x ∈ R0 , n ∈ N, f ; Cp ; n where ω2 (f ; Cp ; ·) is the second modulus of continuity of f . In this paper we introduce the following modified Szász-Mirakyan operators ∞ (1.6) X (nx)rk 1 Sn;r (f ; x) := f Ar (nx) k=0 (rk)! rk n , x ∈ R0 , n ∈ N, for f ∈ Cp and every fixed r ∈ N, where (1.7) ∞ X trk Ar (t) := (rk)! k=0 for t ∈ R0 . Clearly A1 (t) = et , A2 (t) = cosh t ≡ 12 (et + e−t ) and Sn;1 (f ; x) ≡ Sn (f ; x) for f ∈ Cp , x ∈ R0 and n ∈ N. (The operators Sn;2 were investigated in [9] for functions belonging to exponential weight spaces.) We mention that the definition of Sn;r is related to the Borel method of summability of sequences. It is well known ([7]) that a sequence (an )∞ 0 , an ∈ R, is summable to g by the Borel P∞ xrk method Br , r ∈ N, if the series k=0 (rk)! ak is convergent on R and lim re−x x→∞ ∞ X xrk ak = g. (rk)! k=0 In Section 2 we shall give some elementary properties of Sn;r . The approximation theorems will be given in Section 3. 2. AUXILIARY R ESULTS It is known ([1]) that for ek (x) = xk , k = 0, 1, 2, there holds: Sn (e0 ; x) = 1, Sn (e1 ; x) = x and Sn (e2 ; x) = x2 + nx , which imply that (2.1) x Sn (e1 (t) − e1 (x))2 ; x = n for x ∈ R0 , n ∈ N. Pq k Moreover, for every fixed q ∈ N, there exists a polynomial Pq (x) = k=0 ak x with real coefficients ak , aq 6= 0, depending only on q such that (2.2) Sn (e1 (t) − e1 (x))2q ; x ≤ Pq (x)n−q for x ∈ R0 , n ∈ N. J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/ A PPROXIMATION BY M ODIFIED S ZÁSZ -M IRAKYAN O PERATORS 3 From (1.1) – (1.4), (1.6) and (1.7) we deduce that Sn;r is a positive linear operator well defined on every space Cp , p ∈ N0 , and Sn;r (e0 ; x) = 1, (2.3) x A0r (nx) , n Ar (nx) x A0 (nx) x2 A00 (nx) (2.5) + 2 r , Sn;r (e2 ; x) = 2 r n Ar (nx) n Ar (nx) for x ∈ R0 and n, r ∈ N, and (2.4) Sn;r (e1 ; x) = (2.6) Sn;r (f ; 0) = f (0) for f ∈ Cp , n, r ∈ N. Here we derive a simpler formula for Ar . Lemma 2.1. Let r ∈ N be a fixed number. Then Ar defined by (1.7) can be rewritten in the form: A1 (t) = et , A2 (t) = cosh t, " # m−1 X 1 kπ kπ (2.7) A2m (t) = cosh t + exp t cos cos t sin , m m m k=1 for 2 ≤ m ∈ N, and (2.8) " # m X 1 2kπ 2kπ t A2m+1 (t) = e +2 exp t cos cos t sin , 2m + 1 2m + 1 2m + 1 k=1 for m ∈ N and t ∈ R0 . Proof. The formulas for A1 and A2 are obvious by (1.7). For r ≥ 3 and t ∈ R0 we have ∞ ∞ ∞ X X X trk trk+1 trk+r−1 t e = + + ··· + (rk)! k=0 (rk + 1)! (rk + r − 1)! k=0 k=0 which by (1.7) can be written in the form Z t Z t Z v1 t e = Ar (t) + Ar (u) du + Ar (u) du dv1 0 0 0 Z tZ + ··· + 0 v1 Z ... 0 vr−2 Ar (u) du dvr−2 . . . dv1 . 0 By (r − 1)-times differentiation we get the equality et = A(r−1) (t) + A(r−2) (t) + · · · + A0r (t) + Ar (t) for r r t ∈ R0 , which shows that y = Ar (t) is the solution of the differential equation (2.9) y (r−1) + y (r−2) + · · · + y 0 + y = et satisfying the initial conditions (2.10) y(0) = 1, y 0 (0) = y 00 (0) = · · · = y (r−2) (0) = 0. Using now the Laplace transformation Z L[y(t)] = Y (s) := ∞ y(t)e−st dt, s = x + iy, 0 we have by (2.10) L y (k) (t) = sk Y (s) − sk−1 J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. for k = 1, . . . , r − 1, http://jipam.vu.edu.au/ 4 L. R EMPULSKA AND S. G RACZYK and consequently we get from (2.7) sr−1 + sr−2 + · · · + s + 1 Y (s) = 1 + sr−2 + sr−3 + · · · + s + 1, s−1 and Y (s) = (2.11) sr−1 . sr − 1 By the inverse Laplace transformation we get r−1 s −1 (2.12) y(t) = L sr − 1 for t ∈ R0 , and this L−1 transform can be calculated by the residues of Y . P (s) It is known that the inverse transform of a rational function Q(s) with the simple poles sk can be written as follows X X∗∗ P (sk )esk t ∗ P (sk )esk t −1 P (s) (2.13) L = + 2re , 0 (s ) 0 (s ) Q(s) Q Q k k sk sk P∗ P∗∗ where denotes the sum for all real sk and denotes the sum for all complex sk = xk +iyk with a positive yk . √ The function Y defined by (2.11) has the simple poles sk = r 1 = e2kπi/r for k = 0, 1, . . . , r− 1. From this and (2.12) and (2.13) for r = 2m, 2 ≤ m ∈ N, we get ! X∗∗ 1 X ∗ sk t y(t) = e + 2re esk t 2m s sk k " # m−1 X 1 kπ kπ = cosht + exp t cos cos t sin . m m m k=1 This shows that the formula (2.7) is proved. Analogously by (2.12) and (2.13) we obtain (2.8). From (2.7) and (2.8) we have that A3 (t) = 1 3 et + 2e−t/2 cos √ !! 3 t , 2 1 A4 (t) = (cosht + cos t), 2 1 t A6 (t) = cosht + 2cosh cos 3 2 √ !! 3 t , 2 for t ∈ R0 . Applying the formula (1.7) and Lemma 2.1, we immediately obtain the following: Lemma 2.2. For every fixed r ∈ N there exists a positive constant M3 (r) depending only on r such that enx (2.14) 1≤ ≤ M3 (r) for x ∈ R0 , n ∈ N. Ar (nx) Lemma 2.3. Let r ∈ N. Then for e1 (x) = x there holds (2.15) lim nSn;r (e1 (t) − e1 (x); x) = 0 n→∞ J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/ A PPROXIMATION BY M ODIFIED S ZÁSZ -M IRAKYAN O PERATORS 5 and lim nSn;r (e1 (t) − e1 (x))2 ; x = x, n→∞ at every x ∈ R0 . Moreover, we have (2.16) Sn;r (e1 (t) − e1 (x))2q ; x ≤ M3 (r)Sn (e1 (t) − e1 (x))2q ; x for x ∈ R0 , n ∈ N and every fixed q ∈ N. Proof. The inequality (2.16) is obvious by (1.1), (1.6) and (2.14). We shall prove only (2.15) for r = 2m, m ∈ N. If r = 2 then A2 (t) = cosh t and by (2.4) we have sinh nx Sn;2 (e1 (t) − e1 (x); x) = x −1 cosh nx −2x = 2nx for x ∈ R0 , n ∈ N, e +1 which implies (2.15). If r = 2m with 2 ≤ m ∈ N, then by (2.4), (2.7) and (2.14) we get 1 0 x |Sn;2m (e1 (t) − e1 (x); x)| = A (nx) − A2m (nx) A2m (nx) n 2m = x mA2m (nx) sinh nx − cosh nx m−1 X kπ kπ kπ cos cos nx sin + exp nx cos m m m k=1 kπ kπ kπ − sin sin nx sin − cos nx sin m m m " # m−1 X x −2nx 2 kπ ≤ M3 (2m) e +3 exp −2nx sin m m k=1 and from this we immediately obtain (2.15). From (1.6), (1.1) – (1.4) and (2.14) the following lemma results. Lemma 2.4. The operator Sn;r , n, r ∈ N, is linear and positive, and acts from the space Cp to Cp for every p ∈ N0 . For f ∈ Cp kSn;r (f )kp ≤ kf kp kSn;r (1/wp )kp ≤ M3 (r)kf kp · kSn (1/wp )kp ≤ M4 (p, r)kf kp f or n, r, ∈ N, where M4 (p, r) = M1 (p)M3 (r) and M1 (p), M3 (r) are positive constants given in (1.4) and (2.14). 3. T HEOREMS First we shall prove two theorems on the order of approximation of f ∈ Cp by Sn;r , r ≥ 2. Theorem 3.1. Let p ∈ N0 and 2 ≤ r ∈ N be fixed numbers. Then there exists M5 (p, r) = const. > 0 (depending only on p and r) such that for every f ∈ Cp1 there holds the inequality r x 0 (3.1) wp (x) |Sn;r (f ; x) − f (x)| ≤ M5 (p, r)kf kp , n J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/ 6 L. R EMPULSKA AND S. G RACZYK for x ∈ R0 and n ∈ N. Proof. Let f ∈ Cp1 . Then by (1.6), (1.7) and (2.14) it follows that |Sn;r (f ; x) − f (x)| ≤ Sn;r (|f (t) − f (x)| ; x) ≤ M3 (r)Sn (|f (t) − f (x)|; x) for x ∈ R0 , n ∈ N, and for t, x ∈ R0 Z |f (t) − f (x)| = t 0 0 f (u) du ≤ kf kp x 1 1 + wp (t) wp (x) |t − x|. Using now the operator Sn , (1.1) – (1.4) and (2.1), we get |t − x| 0 wp (x)Sn (|f (t) − f (x)|; x) ≤ kf kp wp (x)Sn ; x + Sn (|t − x|; x) wp (t) o 1/2 n 1/2 ≤ kf 0 kp Sn (t − x)2 ; x 2kSn (1/w2p )k2p + 1 r p x 0 ≤ 2 M1 (2p) + 1 kf kp for x ∈ R0 , n ∈ N. n Combining the above, we obtain the estimation (3.1). Theorem 3.2. Let p ∈ N0 and 2 ≤ r ∈ N be fixed. Then there exists M6 (p, r) = const. > 0 (depending only on p and r) such that for every f ∈ Cp , x ∈ R0 and n ∈ N there holds r x (3.2) wp (x) |Sn;r (f ; x) − f (x)| ≤ M6 (p, r)ω1 f ; Cp ; , n where ω1 (f ; Cp ; ·) is the modulus of continuity of f ∈ Cp , i.e. (3.3) ω1 (f ; Cp ; t) := sup k∆u f (·)kp for t ≥ 0, 0≤u≤t and ∆u f (x) = f (x + u) − f (x). Proof. The inequality (3.2) for x = 0 follows by (1.2), (2.6) and (3.3). Let f ∈ Cp and x > 0. We use the Steklov function fh , Z 1 h fh (x) := f (x + t) dt for x ∈ R0 , h > 0. h 0 This fh belongs to the space Cp1 and by (3.3) it follows that (3.4) kf − fh kp ≤ ω1 (f ; Cp ; h) and (3.5) kfh0 kp ≤ h−1 ω1 (f ; Cp ; h), for h > 0. By the above properties of fh and (2.3) we can write Sn;r f (t); x − f (x) ≤ |Sn;r (f (t) − fh (t); x)| + Sn;r fh (t); x − fh (x) + |fh (x) − f (x)| , for n ∈ N and h > 0. Next, by Lemma 2.4 and (3.4) we get wp (x) Sn;r f (t) − fh (t); x ≤ M4 (p, r)kf − fh kp ≤ M4 (p, r)ω1 (f ; Cp ; h). In view of Theorem 3.1 and (3.5) we have r r x x −1 0 ≤ M5 (p, r)h ω1 (f ; Cp ; h). wp (x) Sn;r fh ; x − fh (x) ≤ M5 (p, r)kfh kp n n J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/ A PPROXIMATION BY M ODIFIED S ZÁSZ -M IRAKYAN O PERATORS 7 Consequently, (3.6) −1 wp (x) |Sn;r (f ; x) − f (x)| ≤ ω1 (f ; Cp ; h) M4 (p, r) + M5 (p, r)h for x > 0, n ∈ N and h > 0. Putting h = desired estimation (3.2). p r x +1 , n x/n in (3.6) for given x and n, we obtain the Theorem 3.2 implies the following: Corollary 3.3. If f ∈ Cp , p ∈ N0 , and 2 ≤ r ∈ N, then lim Sn;r (f ; x) = f (x) at every n→∞ x ∈ R0 . This convergence is uniform on every interval [x1 , x2 ], x1 ≥ 0. The Voronovskaya type theorem given in [1] for the operators Sn can be extended to Sn;r with r ≥ 2. Theorem 3.4. Suppose that f ∈ Cp2 , p ∈ N0 , and 2 ≤ r ∈ N. Then lim n (Sn;r (f ; x) − f (x)) = (3.7) n→∞ x 00 f (x) 2 at every x ∈ R0 . Proof. The statement (3.7) for x = 0 is obvious by (2.6). Choosing x > 0, we can write the Taylor formula for f ∈ Cp2 : 1 f (t) = f (x) + f 0 (x) + f 00 (x)(t − x)2 + ϕ(t, x)(t − x)2 2 for t ∈ R0 , where ϕ(t) ≡ ϕ(t, x) is a function belonging to Cp and lim ϕ(t) = ϕ(x) = 0. t→x Using now the operator Sn;r and (2.3), we get 1 Sn;r (f (t); x) = f (x)+f 0 (x)Sn;r (t−x; x)+ f 00 (x)Sn;r ((t−x)2 ; x)+Sn;r ϕ(t)(t − x)2 ; x , 2 for n ∈ N, which by Lemma 2.3 implies that x (3.8) lim n (Sn;r (f (t); x) − f (x)) = f 00 (x) + lim nSn;r ϕ(t)(t − x)2 ; x . n→∞ n→∞ 2 It is clear that 1/2 (3.9) Sn;r ϕ(t)(t − x)2 ; x ≤ Sn;r (ϕ2 (t); x)Sn;r ((t − x)4 ; x) , and by Corollary 3.3 (3.10) lim Sn;r (ϕ2 (t); x) = ϕ2 (x) = 0. n→∞ ∞ Moreover, by (2.16) and (2.2) we deduce that the sequence (n2 Sn;r ((t − x)4 ; x))1 is bounded at every fixed x ∈ R0 . From this and (3.9) and (3.10) we get lim nSn;r ϕ(t)(t − x)2 ; x = 0 n→∞ which with (3.8) yields the statement (3.7). J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/ 8 L. R EMPULSKA AND S. G RACZYK 4. R EMARKS Remark 1. We observe that the estimation (1.5) for the operators Sn is better than (3.2) obtained for Sn;r with r ≥ 2. It is generated by formulas (2.3) – (2.5) and Lemma 2.1 which show that the operators Sn;r , r ≥ 2, preserve only the function e0 (x) = 1. The operators Sn preserve the function ek (x) = xk , k = 0, 1. Remark 2. In the paper [2], the approximation properties of the Szász-Mirakyan operators Sn in the exponential weight spaces Cq∗ , q > 0, with the weight function vq (x) = e−qx , x ∈ R0 were examined. Obviously the operators Sn;r , r ≥ 2, can be investigated also in these spaces. Remark 3. G. Kirov in [8] defined the new Bernstein polynomials for m-times differentiable functions and showed that these operators have better approximation properties than classical Bernstein polynomials. The Kirov idea was applied to the operators Sn in [10]. We mention that the Kirov method can be extended to the operators Sn;r with r ≥ 2, i.e. for functions f ∈ Cpm , m ∈ N, p ∈ N0 , and a fixed 2 ≤ r ∈ N we can consider the operators j ∞ m X 1 rk (nx)rk X f (j) rk ∗ n Sn;r (f ; x) := −x , j! n Ar (nx) k=0 (rk)! j=0 for x ∈ R0 and n ∈ N. ∗ In [10] it was proved that the Sn;1 have better approximation properties for f ∈ Cpm , m ≥ 2, than Sn;1 . R EFERENCES [1] M. BECKER, Global approximation theorems for Szász-Mirakyan and Baskakov operators in polynomial weight spaces, Indiana Univ. Math. J., 27(1) (1978), 127–142. [2] M. BECKER, D. KUCHARSKI AND R.J. NESSEL, Global approximation theorems for the SzászMirakyan operators in exponential weight spaces, Linear Spaces and Approximation (Proc. Conf. Oberwolfach, 1977), Birkhäuser Verlag, Basel, Internat. Series of Num. Math., 40 (1978), 319–333. [3] A. CIUPA, Approximation by a generalized Szász type operator, J. Comput. Anal. and Applic., 5(4) (2003), 413–424. [4] R.A. DE VORE AND G.G. LORENTZ, Constructive Approximation, Springer-Verlag, Berlin, New York, 1993. [5] Z. DITZIAN AND V. TOTIK, Moduli of Smoothness, Springer-Verlag, New-York, 1987. [6] P. GUPTA AND V. GUPTA, Rate of convergence on Baskakov-Szász type operators, Fasc. Math., 31 (2001), 37–44. [7] G.H. HARDY, Divergent Series, Oxford Univ. Press, Oxford, 1949. [8] G.H. KIROV, A generalization of the Bernstein polynomials, Mathematica (Balcanica), 2(2) (1992), 147–153. [9] M. LEŚNIEWICZ AND L. REMPULSKA, Approximation by some operators of the SzászMirakyan type in exponential weight spaces, Glas. Mat. Ser. III, 32(52)(1) (1997), 57–69. [10] L. REMPULSKA AND Z. WALCZAK, Modified Szász-Mirakyan operators, Mathematica (Balcanica), 18 (2004), 53–63. [11] O. SZÁSZ, Generalizations of S. Bernstein’s polynomials to the infinite interval, J. Res. Nat. Bur. Standards, Sect. B, 45 (1950), 239–245. [12] Z. WALCZAK, On the convergence of the modified Szász-Mirakyan operators, Yokohama Math. J., 51(1) (2004), 11–18. J. Inequal. Pure and Appl. Math., 10(3) (2009), Art. 61, 8 pp. http://jipam.vu.edu.au/