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On the composite Bernstein type cubature formula

1

Dan B˘arbosu, Dan Micl˘au¸s

Abstract

Considering a given function f C([0,1]×[0,1]), the bivariate in- terval [0,1]×[0,1] is divided inmnequally spaced bivariate subintervals k−1

m ,mk

×j−1 n ,nj

,k= 1, m, j= 1, n. On each such type of subinter- vals the Bernstein bivariate approximation formula is applied and a cor- responding Bernstein type cubature formula is obtained. Making the sum of mentioned cubature formulas, the composite Bernstein type cubature formula is obtained. The coefficients of above formula are determined and an upper-bound for its remainder term is given.

2010 Mathematics Subject Classification: 65D32, 41A10

Key words and phrases: Bernstein bivariate operator, Bernstein bivariate approximation formula, Bernstein quadrature formula, Bernstein cubature

formula, Bivariate divided difference, Remainder term

1 Preliminaries

Let us to denote N={1,2, ...} and N0=N∪ {0}.

The Bernstein bivariate operatorBm,n :C([0,1]×[0,1])→C([0,1]×[0,1]) is defined for anyf ∈C([0,1]×[0,1]), any (x, y)∈[0,1]×[0,1] and anym, n∈N, by

(1) (Bm,nf)(x, y) =

m

X

k=0 n

X

j=0

pm,k(x)pn,j(y)f k

m,j n

,

1Received 24 April, 2009

Accepted for publication (in revised form) 18 May, 2010

73

(2)

where

(2) pm,k(x) =

m k

xk(1−x)m−k and

(3) pn,j(y) =

n j

yj(1−y)n−j

are the fundamental Bernstein’s polynomials. The polynomial (1) is called the Bernstein bivariate polynomial.

Letf ∈C([0,1]×[0,1]) be given. The following equality (4) f(x, y) = (Bm,nf) (x, y) + (Rm,nf) (x, y)

is known as the Bernstein bivariate approximation formula, where Rm,n is the remainder operator associated to the Bernstein bivariate operator Bm,n, i.e. Rm,nf is the remainder term of the bivariate approximation formula (4).

Regarding the remainder term of (4), D. B˘arbosu and O. T. Pop [7] established the following:

Theorem 1 For any f ∈C([0,1]×[0,1]) and any (x, y) ∈ [0,1]×[0,1], the remainder term of (4) can be expressed under the form

(Rm,nf)(x, y) =−x(1−x) m

m−1

X

k=0 n

X

j=0

pm1,k(x)pn,j(y)

"

x,mk,k+1m

j m

;f

# (5)

−y(1−y) n

m

X

k=0 n−1

X

j=0

pm,k(x)pn−1,j(y)

" k

m

y,nj,j+1n ;f

#

+xy(1−x)(1−y) mn

m−1

X

k=0 n−1

X

j=0

pm−1,k(x)pn−1,j(y)

"

x,mk,k+1m y,kj,j+1n ;f

# .

In (5) the brackets denote the bivariate divided differences.

Theorem 2 ([7]) Let be p, q ∈ N0, a ≤ x0 < x1 < ... < xp ≤ b, c ≤ y0 <

y1 < ... < yq ≤ d and the function f : [a, b]×[c, d] → R be given. If f ∈ C(p−1,q−1)([a, b]×[c, d])and there exists ∂xp+qp∂yfq on]a, b[×]c, d[then, there exists (ξ, η)∈]a, b[×]c, d[ such that

(6)

"

x0, x1, . . . , xp

y0, y1, . . . , yq ;f

#

= 1 p!q!

p+qf

∂xp∂yq(ξ, η).

(3)

Theorem 3 ([7]) Let f : [0,1]×[0,1]→ R be a function with the properties that f ∈ C([0,1]×[0,1]), there exists ∂x24∂yf2 on ]0,1[×]0,1[ and ∂x2f2, ∂y2f2,

4f

∂x2∂y2 are bounded on]0,1[×]0,1[. Then, the inequalities

|(Rm,nf)(x, y)| ≤ x(1−x)

2m M1[f] +y(1−y)

2n M2[f] +xy(1−x)(1−y) 4mn M3[f] (7)

≤ 1

8mM1[f] + 1

8nM2[f] + 1

64mnM3[f] hold, for any (x, y)∈[0,1]×[0,1] and any m, n∈N, where

M1[f] = sup

(x,y)]0,1[×]0,1[

2f

∂x2(x, y) ,

M2[f] = sup

(x,y)]0,1[×]0,1[

2f

∂y2(x, y) (8) ,

M3[f] = sup

(x,y)]0,1[×]0,1[

4f

∂x2∂y2(x, y) .

Integrating the Bernstein bivariate approximation formula (4) one arrives to the following Bernstein’s cubature formula [6]:

(9)

Z1

0

Z1

0

f(x, y)dxdy =

m

X

i=0 n

X

j=0

Ai,jf i

m,j n

+Rm,n[f], where

(10) Ai,j = 1

(m+ 1)(n+ 1), i= 0, m, j= 0, n and

(11) |Rm,n[f]| ≤ 1

12mM1[f] + 1

12nM2[f] + 1

144mnM3[f], whereM1[f], M2[f] and M3[f] were defined at (8).

The focus of the present paper is to construct the composite Bernstein type cubature formula. For this aim, the bivariate interval [0,1]×[0,1] will be divided in mn equally spaced bivariate subintervalsk−1

m ,mk

×h

j1 n ,nji

,k= 1, m, j = 1, n. On each such type of subintervals k−1

m ,mk

×hj−

1 n ,nji

, the Bernstein’s cubature formula (9) will be applied. Next, adding the mentioned cubature formulas, the composite Bernstein cubature formula on [0,1]×[0,1]

will be obtained.

(4)

2 Main results

We start by the simple results contained in the following two lemmas.

Lemma 1 Suppose that a, b, c, d∈R, a < b and c < d, f ∈C([a, b]×[c, d]).

Then, the bivariate Bernstein polynomial associated to the function f is defined by

(Bm,nf)(x, y) = 1

(b−a)m(d−c)n

m

X

k=0 n

X

j=0

m k

n j

(x−a)k(b−x)m−k (12)

·(y−c)j(d−y)njf

a+kb−a

m , c+jd−c n

.

Proof. The parametric extensions [5] of the Bernstein’s univariate operator [8] are defined by

(Bmxf)(x, y) = 1

(b−a)m(d−c)n

m

X

k=0 n

X

j=0

m k

n j

(x−a)k(b−x)mk (13)

·(y−c)j(d−y)n−jf

a+kb−a m , y

,

respectively

(Bnyf)(x, y) = 1

(b−a)m(d−c)n

m

X

k=0 n

X

j=0

m k

n j

(x−a)k(b−x)m−k (14)

·(y−c)j(d−y)n−jf

x, c+jd−c n

.

Their tensorial product [9] is the bivariate Bernstein operator (12).

Lemma 2 Suppose thata, b, c, d∈R,a < b,c < dand letf : [a, b]×[c, d]→R be a function with the properties thatf ∈C2,2([a, b]×[c, d]), there exists ∂x24∂yf2

on ]a, b[×]c, d[ and ∂x2f2, ∂y2f2, ∂x24∂yf2 are bounded on ]a, b[×]c, d[. Then, the remainder term of the Bernstein bivariate approximation formula on [a, b]× [c, d]verifies the following inequality

|(Rm,nf)(x, y)| ≤ (x−a)(b−x)

2m(b−a)2 M10[f] + (y−c)(d−y) 2n(d−c)2 M20[f] (15)

+(x−a)(b−x)(y−c)(d−y) 4mn(b−a)2(d−c)2 M30[f],

(5)

for any(x, y)∈]a, b[×]c, d[and any m, n∈N, where M10[f] = sup

(x,y)]a,b[×]c,d[

2f

∂x2(x, y) ,

M20[f] = sup

(x,y)]a,b[×]c,d[

2f

∂y2(x, y) (16) ,

M30[f] = sup

(x,y)]a,b[×]c,d[

4f

∂x2∂y2(x, y) .

Proof. One applies (7) and the method of parametric extensions [9].

In what follows, let us to consider the bivariate interval [0,1]×[0,1] divided in themnequally spaced bivariate subintervalsk−1

m ,mk

×h

j−1 n ,nji

,k= 1, m, j= 1, n. In each intervalk−1

m ,mk

×h

j−1 n ,nji

one considers the distinct knots xh = kp−p+hmp ,h= 0, p, respectivelyyl= jq−q+lnq ,l= 0, q.

Applying Lemma 1 yields the following Bernstein type bivariate polynomial

(Bp,k,q,jf)(x, y) =mpnq

p

X

h=0 q

X

l=0

p h

q

l x−k−1 m

hk m −x

p−h

(17)

·

y−j−1 n

l j n−y

ql

f

kp−p+h

mp ,jq−q+l nq

.

The following Bernstein type bivariate approximation formula (18) f(x, y) = (Bp,k,q,jf)(x, y) + (Rp,k,q,jf)(x, y) holds, on any intervalk−1

m ,mk

×hj−

1 n ,nji

,k= 1, m,j= 1, n.

For any f ∈C2,2([0,1]×[0,1]) the following upper-bound estimation for the bivariate remainder term

|(Rp,k,q,jf)(x, y)| ≤ m x−k−1m k

m −x

2 M100[f] + n

y−j−n1 nj −y 2 M200[f] (19)

+

mn x−k−m1 k

m−x

y− j−n1 nj −y

4 M300[f]

(6)

holds, where

M100[f] = sup

(x,y)∈]km1,mk[×]j−n1,nj[

2f

∂x2(x, y) ,

M200[f] = sup

(x,y)∈]km1,mk[×]j−n1,nj[

2f

∂y2(x, y) (20) ,

M300[f] = sup

(x,y)]km1,mk[×]jn1,nj[

4f

∂x2∂y2(x, y) .

Theorem 4 If f ∈ C([0,1]×[0,1]), the coefficients of the Bernstein type cubature formula

(21)

k m

Z

k1 m

j n

Z

j1 n

f(x, y)dxdy =

p

X

h=0 q

X

l=0

Ah,k,l,jf

kp−p+h

mp ,jq−q+l nq

+Rk,j[f]

can be expressed under the form

(22) Ah,k,l,j = 1

mn(p+ 1)(q+ 1), h= 0, p, l= 0, q.

Proof. Integrating (18) onk−1

m ,mk

×hj−

1 n ,nji

,k= 1, m,j= 1, nand taking (17) into account, yields

Ah,k,l,j =mpnq p

h q

l

k m

Z

k−1 m

j n

Z

j1 n

x−k−1 m

h k m −x

p−h

·

y−j−1 n

l j n −y

q−l

dxdy

=mpnq p

h q

l

k m

Z

k1 m

x−k−1 m

h k m −x

p−h

dx

·

j

Zn

j1 n

y−j−1 n

l j n−y

q−l

dy

(7)

=mpnq p

h q

l Z1

0

1

mp+1th(1−t)p−hdt

1

Z

0

1

nq+1ul(1−u)q−ldu

= 1 mn

p h

q l

Z1

0

th(1−t)p−hdt

1

Z

0

ul(1−u)q−ldu.

The integral R1 0

xi(1−x)nidxis the Euler function of first kindB(i+1, n−i+1).

Taking the well known properties of Euler function of first kind into account, it follows that

Ah,k,l,j = 1 mn

p h

q l

B(h+ 1, p−h+ 1)B(l+ 1, q−l+ 1)

= 1 mn

p!

h!(p−h)!

h!(p−h)!

(p+ 1)!

q!

l!(q−l)!

l!(q−l)!

(q+ 1)!

= 1

mn(p+ 1)(q+ 1).

Theorem 5 Let f ∈C2,2([0,1]×[0,1]) be given so that there exists ∂x22∂yf2 on ]0,1[×]0,1[and ∂x2f2, ∂y2f2, ∂x24∂yf2 are bounded on ]0,1[×]0,1[. Then the follow- ing upper-bound estimation for the bivariate remainder term of the Bernstein type cubature formula (21) is

(23) |Rk,j[f]| ≤ M100[f]

12m2n+ M200[f]

12mn2 + M300[f] 144m2n2, where M100[f], M200[f], M300[f]are given at (20).

Proof. The inequality (23) follows by integrating the Bernstein type bivariate approximation formula (18) and taking the inequality (19) into account.

Theorem 6 For anyf ∈C2,2([0,1]×[0,1]), the following composite Bernstein type cubature formula

Z1

0

Z1

0

f(x, y)dxdy = 1

mn(p+ 1)(q+ 1)

m

X

k=1 n

X

j=1 p

X

h=0 q

X

l=0

f

kp−p+h

mp ,jq−q+l nq

(24)

+Rm,n[f].

holds, where |Rm,n[f]| were defined at (11).

(8)

Proof. Adding the relation (21) for any k = 1, m, j = 1, n, we get the following composite Bernstein type cubature formula (24).

Remark 1 It is easily to see that we get the same result for the bivariate remainder term of the composite Bernstein type cubature formula, as the result obtained by D. B˘arbosu and O. T. Pop in [6].

Corollary 1 The following equality

m,n→∞lim

1

mn(p+ 1)(q+ 1)

m

X

k=1 n

X

j=1 p

X

h=0 q

X

l=0

f

kp−p+h

mp ,jq−q+l nq

(25)

=

1

Z

0 1

Z

0

f(x, y)dxdy holds.

Proof. Yields immediately from Theorem 6, because lim

m,n→∞|Rm,n[f]|= 0.

References

[1] O. Agratini, Approximation by linear operators (Romanian), Presa Uni- versitar˘a Clujean˘a 2000

[2] D. B˘arbosu,The approximation of multivariate functions by boolean sums of linear operators of interpolatory type (Romanian), Ed. Risoprint, Cluj Napoca 2002

[3] D. B˘arbosu,Polynomial Approximation by Means of Schurer-Stancu type operators, Ed. Universit˘at¸ii de Nord, Baia Mare 2006

[4] D. B˘arbosu, On the Schurer-Stancu approximation formula, Carpathian J. Math.21, 2005, 7-12

[5] D. B˘arbosu, O. T. Pop, A note on the GBS Bernstein’s approximation formula, Annals of the University of Craiova, Math. Comp. Sci. Ser.35, 2008, 1-6

[6] D. B˘arbosu, O. T. Pop,A note on the Bernstein’s cubature formula, Gen- eral Mathematics17 (3), 2009, 161-172

(9)

[7] D. B˘arbosu, O. T. Pop, On the Bernstein bivariate approximation for- mula, Carphatian J. Math. 24(3), 2008, 293-298

[8] D. B˘arbosu, D. Micl˘au¸s,On the composite Bernstein type quadrature for- mula, (to appear in Rev. Anal. Num. Th´eor. Approx.)

[9] F. J. Delvos, W. Schempp, Boolean methods in interpolation and approx- imation, Longmann Scientific and Technical 1989

[10] M. Ivan,Elements of Interpolation Theory, Mediamira Science Publisher, Cluj-Napoca 2004

[11] D. D. Stancu, Quadrature formulas constructed by using certain linear positive operators, Numerical Integration (Proc. Conf. Math. Res. Inst.

Oberwolffach) (Basel) (G. Hammerlin, ed.), Birkh¨auser 1982, 241-251 [12] D. D. Stancu, Gh. Coman, P. Blaga,Numerical Analysis and Approxima-

tion Theory (Romanian),II, Presa Universitar˘a Clujean˘a 2002

Dan B˘arbosu, Dan Micl˘au¸s North University of Baia Mare

Department of Mathematics and Computer Science Victoriei 76, 430122 Baia Mare, Romania

e-mail: [email protected], [email protected]

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