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Volume 3, Issue 5, May 2016, PP 9-13

ISSN 2349-4751 (Print) & ISSN 2349-476X (Online)

On the Convergence of Derivative of Hermite Interpolating Polynomial

1Swarnima Bahadur, 2Manisha Shukla Department of Mathematics and Astronomy

University of Lucknow, Lucknow, India

1[email protected], 2[email protected]

Abstract: In this paper, we consider the zeros of 1-x2 Pn 𝛼,𝛽 𝑥 , where Pn 𝛼 ,𝛽 𝑥 stands for Jacobi polynomial, which are vertically projected onto the unit circle. Here, we are interested to establish the convergence theorem for the derivative of the Hermite interpolatory polynomial on the above said nodes.

Mathematics subject classification: 41A05, 30E10.

Keywords: Jacobi polynomial, Hermite interpolation, Convergence.

1. INTRODUCTION

In a paper, J.Szabad 𝑜s [8] treated the convergence problems of the derivatives for arbitrary projection operators on C [-1,+1]. In another paper, K.Balázs and T.Kilgore [3] considered the approximation of derivatives by interpolation. Also, G. Mastroianni [5] investigated the uniform convergence of derivatives of Lagrange interpolation at the union of the zeros of Jacobi polynomials and some additional points. Also, G. Mastroianni and P. Nevai [6] established mean convergence of derivatives of Lagarange interpolation. In a paper, K. Balázs [2] proved the simultaneous convergence of the derivatives of Lagarange interpolating polynomials by giving an estimate for 𝑓(𝑖) 𝑥 − 𝐿 𝑖 𝑛 𝑓, 𝑥 𝑖 = 0,1,2, … … … by the aid of the Lebesgue constant of Lagrange interpolation. The above paper has motivated us to consider convergence of the derivative of the Hermite interpolation on the unit circle.

In this paper, we consider the derivative of the Hermite- interpolation on the vertically projected zeros of

xP

n

  x

,

1 

2 on the unit circle, where

P

n

  x

,

stands for Jacobi polynomial. In section 2, we give some preliminaries and in section 3, we describe the problem. In section 4, we give the explicit formulae of the interpolatory polynomials. In sections 5 and 6, estimation and convergence of interpolatory polynomials are considered respectively.

2. PRELIMINARIES

In this section some well-known results are given, which we shall use.

The differential equation satisfied by Pn,

 

x is

  2 . 1

1 2

,

   

2

 

,

  

   1

,

 

0

 

x Pn x

   

x Pn x n n

 

Pn x

(2.2)

 

n

 

n n n

k

k z

z P z

K z z z

W 

 

  

2

1 2

, 2

1

(2.3)

R   z z

2

1W   z

We shall require the fundamental polynomials of Lagrange interpolation based on the nodes as zeros of R(z) and W(z) are given by:

(2.4)

   

   ,  0   1 2  1

 

k n

z z z R

z z R

L

k k

k

(2)

We will also use the following results

(2.5)

 

nW

zn k

W

 

zk KnPn

 

xk

1 zk

zkn ,k 1

 

1n 2

1    1 ,   2 2

       

 

 

   

zz k   n

n

z z

x P K z

W z

W

kn

k

k k

k n

n k

k n

n

, 1 1

2 1

2

1 2 2

2 1 1

6 .

2

3

2

2

1 ,

 

 

 

 

 

 

 

 

 

(2.7) R

 

zk

zk2 1

W

 

zk

(2.8) R

 

zk W

 

zk

4zk22

 

 

zk

 

2

 

1zk2

 

2n1zk2

2

zk1

We will also use the following well known inequalities (see [9])

   

     

   

 

 

 

   

 

,

   

2

,

2 2 3 ,

2 2 1

k

1 2 ,

1 2

13 . 2

0 ,

12 . 2

~

11 . 2

~ x - 1 10 . 2

1,1 - x , 0 for x

- 1 9 . 2

 



 

n o x P

n o x P

n k x P

n k

n o x P

n n

k n

n

3. THE PROBLEM

Let

Z

n

  z

k

: k  0   1 2 n  1 

satisfying:

  1 }

1 , ,

sin cos

, 1 ,

1 {

Z

n 0 2 1

n k

z z

i z

z z

k k n k k

k n

be the vertical projections on the unit circle of the zeros of 1-x2 Pn 𝛼,𝛽 𝑥 , where Pn 𝛼,𝛽 𝑥 stands for the Jacobi polynomial having the zeros 𝑥𝑘 = cos 𝜃𝑘, k=1 (1)n such that 1 > 𝑥1> ⋯ … … … . . > 𝑥𝑛 >

−1 .In this paper, we shall use the polynomials 𝐻𝑛 𝑧 of lowest possible degree satisfying the conditions

(3.1) 𝐻𝑛 𝑧𝑘 = 𝛼𝑘, 𝑘 = 0 1 2𝑛 + 1 𝐻′𝑛 𝑧𝑘 = 𝛽𝑘, 𝑘 = 0 1 2𝑛 + 1 where𝛼𝑘𝑎𝑛𝑑𝛽𝑘 are arbitrary given complex numbers.

𝐻𝑛 𝑧 is known as Hermite interpolation on unit circle [1]. In this paper, we seek to determine the convergence of the derivative of 𝐻𝑛 𝑧 on the above said nodes.

4. EXPLICIT REPRESENTATION OF INTERPOLATORY POLYNOMIALS We shall write

H

n

  z

satisfying (3.1) as:

    z A   z B

k

  z

n

k k k

n

k

k

2 1

0 1

2

0

H

n

1 .

4  

Where

A

k

  z

and

B

k

  z

are fundamental polynomials of the first and second kind respectively, each of degree at most 4n+3 satisfying the conditions:

(3)

For j, k = 0(1)2n+1

   

  

 

 

 0 A

A 2 . 4

k k

j

jk j

z

z

   

  

 

 

jk j

j

z z

k

k

B

0 B

3 . 4

THEOREM 2 [1]: For k=0(1)2n+1, we have, (4.4) 𝐵𝑘 𝑧 =𝑹 𝒛 𝑳𝒌 𝒛

𝑹 𝒛𝒌

THEOREM 3 [1]: For k=0(1)2n+1, we have, (4.5) 𝐴𝑘 𝑧 =𝐿2𝑘 𝑧 − 2𝐿′𝑘 𝑧𝑘 𝐵𝑘 𝑧

5. ESTIMATION OF FUNDAMENTAL POLYNOMIALS LEMMA 1 [1]: Let

L

k

  z

be given by (2.4). Then

  

 

2 1

0 2

1 3

max

z

1 . 5

n

k k

k z c

L

where c is a constant independent of n and z.

LEMMA 2: Let

L

k

  z

be given by (2.4). Then

    

n

k k

k z cn L

2

0 2

1 1

z

'

max 2 .

5

Where c is a constant independent of n and z.

PROOF: Also,

(5.3)

𝑧𝑘= 𝑥𝑘+ 𝑖𝑦𝑘

𝑧2− 1 = 2 1 − 𝑥2 𝑧𝑘2− 1 = 2 1 − 𝑥𝑘2

𝑧 − 𝑧𝑘 = 2 1 − 𝑥𝑥𝑘− 1 − 𝑥2 1 − 𝑥𝑘2

Differentiating (2.4), we get

(5.4) 2𝑛𝑘=0

L

k

   z

= 𝑅 𝑧 𝑧−𝑧𝑘 −𝑅 𝑧

𝑅 𝑧𝑘 𝑧−𝑧𝑘 2 2𝑛𝑘=0

Using (2.2), (2.3), (2.5), (2.7) and (5.3) in (5.2) and further using (2.9)-(2.13), we get required equation (5.2).

LEMMA 3: Let

B

k

   z

be obtained by differentiating (4.4). Then (5.5) 𝐵𝑘 𝑧 < 𝑐𝑛 log 𝑛 , 𝛼 ≤ −1

2 2𝑛𝑘=0

where ,c is a constant independent of n and z.

PROOF: Differentiating (4.4), we get

𝐵𝑘 𝑧

2𝑛

𝑘 =0

= R z

L

k

  z

+ R 𝑧

L

k

   z

𝑅 𝑧𝑘

2𝑛

𝑘=0

(4)

Using (2.2), (2.3), (2.5) and (2.7) in (5.6), we get

𝐵𝑘 𝑧

2𝑛

𝑘=0

2𝑧KnPn,

 

x zn + 1 − 𝑥2

1 − 𝑥2 KnPn,

 

xk

2

1 +

nKnPn

 

x

,

𝑧𝑛−1

  z

L

k + KnPn,

 

x zn 1 − 𝑥2

L

k

   z

  1 - x

2k Pn,

 

xk 2𝑛

𝑘=0

Further, using (2.9), (2.10), (2.11), (2.12), (2.13), Lemma 1 and Lemma 2, we get (5.5).

LEMMA 4: Let

A

k

   z

be obtained by differentiating (4.5). Then (5.6) 𝐴𝑘 𝑧 < 𝑐𝑛2log 𝑛 , 𝛼 ≤ −1

2 2𝑛𝑘=0

where c is a constant independent of n and z.

PROOF: Differentiating (4.5), we get 𝐴𝑘 𝑧

2𝑛

𝑘=0

≤ 2𝐿𝑘 𝑧 𝐿𝑘 𝑧 + 𝑅′′ 𝑧𝑘

𝑅 𝑧𝑘 𝐵𝑘 𝑧

2𝑛

𝑘=0 2𝑛

𝑘=0

Using Lemma 1, Lemma 2 and Lemma 3, we get (5.6) 6. CONVERGENCE

Let f(z) be analytic for

z  1

and continuous for

z  1

and

2

f ,  

be the modulus of continuity of

f   e

i .

THEOREM 4: Let f (z) be continuous in

z  1

and analytic in

z  1

. Let the arbitrary numbers𝛽𝑘‘s be such that:

(6.1) 𝛽𝑘 = 𝑜 𝑛𝜔2 𝑓, 𝑛−1 Then {𝐻𝑛} be defined by:

(6.2) 𝐻′𝑛 𝑧 = 2𝑛 𝑓 𝑧𝑘

𝑘=0 𝐴′𝑘 𝑧 + 2𝑛 𝛽𝑘 𝑘=0 𝐵′𝑘 𝑧 satisfies the relation:

         

2 - 1 , log ,

' H

3 .

6 

n

zf zo n

2

2

f n

1

n  

, where

2

f , n

1

is the modulus of continuity of f(z).

REMARK 1: Let f(z) be continuous in 𝑧 ≤ 1 and 𝑓𝜖 𝐿𝑖𝑝 , then the sequence {𝐻𝑛′}

converges uniformly to f’(z) in 𝑧 ≤ 1 , follows from (6 .3) provided

1

1

2 f n, o n( )

 

To prove theorem 4, we shall need the following:

REMARK2: Let f (z) be continuous in

z  1

and analytic in

z  1

.Then there exists a polynomial

  z

F

n of degree 4n+1 satisfying Jackson’s inequality

  6.4 F

n

   zf    zc

2

f , n

1

 , z  e

i

 0    2  

(5)

And also an inequality due to O.Kiš [4]

 

6.5 F 

 

2

, 1

, for mI

m

n z cnm

f n

PROOF: Since

H

n

   z

be given by (6.2) is a uniquely determined polynomial of degree

 4 n  1

, the polynomial

F

n

   z

satisfying (6.4) and (6.5) can be expressed as :

  z F     z A z F     z B z

F

k k

n

k n k

k n

k n

n

       

2

0 2

0

Using

ze

i

 0    2  

, (5.5), (5.6), (6.1),(6.4),(6.5) and Lemma 3 and Lemma 4, we get (6.3).

Hence, the theorem follows.

REFERENCES

[1] Bahadur S. and Shukla M.; A new kind of Hermite interpolation, Adv. In equal. Appl., 2014.

[2] Balázs K (Budapest); on the convergence of the derivatives of Lagrange interpolating polynomials, Acta Math. Hung, 55(3-4) (1990), 323-325.

[3] Balázs K and Kilgore T.; Simultaneous approximation of derivatives by interpolation, in C.K.Chui, L.L Schumaker and J.D.Ward, Eds.; Approximation Theory VI (Academic Press, New York, 1989) 25-27.

[4] Kiš O., Remarks on interpolation (Russian); Acta Math .Acad. Sci.Hungar; 11(1960)49-64.

[5] Mastroianni G.; Uniform convergence of derivatives Lagrange interpolation, J.Comput. and Applied Mathematics 439 (1992) 37-51.

[6] Mastroianni G and Nevai P.; Mean convergence of derivatives of Lagrange interpolation, J.Comput. Appl. Math. 34(3) (1991)385-396.

[7] Szegö G.; Orthogonal Polynomials; Amer. Math. Soc. Coll. Publ.(New York, 1959).

[8] Szabodos J.; On the convergence of the derivatives of projection operators, Analysis 7 (1987), 349-357.

References

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