An upper bound for the Laguerre polynomials

An upper bound for the Laguerre polynomials

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS ELSEVIER Journal of Computational and Applied Mathematics 99 (1998) 529-533 An upper bound for the...

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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

ELSEVIER

Journal of Computational and Applied Mathematics 99 (1998) 529-533

An upper bound for the Laguerre polynomials Z d z i s ~ a w L e w a n d o w s k i , Jan Szynal * Department of Mathematics, M. Curie-Sklodowska University, 20-031 Lublin, Poland

Received 8 January 1998

Abstract

A simple new uniform estimate for the Laguerre polynomials of order ~, Ll,~)(x), ~ C ~ is given. (~) 1998 Elsevier Science B.V. All rights reserved. A M S classification." 33C45; 30C50 Keywords: Laguerre polynomials; Laplace integral

The Laguerre polynomials Ll,,~)(x) of order ~ can be defined in many ways [5, 7]. Assuming E N, x/> 0 and n = 0, 1,2,... they are defined, for instance, by the generating function

xz 1---z

(1 - z ) ..... lexp

= ~,,=0 Ll/~(x)z ",

Izl<

1,

(1)

or by explicit formula

Two classical global uniform (w.r.t. n , x and ~) estimates given by Szeg6 are known (e.g. [1]):

ILl/'(x)l~< (~ +n ~1), e~-..~ ~ ' ILl'~'(x)'~< ( 2

7~>0, x~>0, n = 0 , 1 , 2 . . . . .

( ° ~e+~1;)2"')n ,

-1<0~<0,

x~>0, n - - 0 , 1 , 2 . . . . .

* Corresponding author, [email protected]. 0377-0427/98/S-see front matter (~) 1998 Elsevier Science B.V. All rights reserved. PII: S0377-0427(98)00 1 81-2

(S,) (S:)

Z. LewandowskL J. Szynal/Journal of Computational and Applied Mathematics 99 (1998) 529 533

530

The estimate ($2) has been improved in 1985 by Rooney [6], who proved with the aid of Askey formula that

[L~)(x)[<~2-~q, eX;2'

~<<_l,

x>>-O, n - - 0 , 1 , 2 , . . .

(R~)

and

IL )(x)l ~ x/2 q"(~ + 1), eX/2' (1/2),

~>-½,

x~>0, n = 0 , 1 , 2 . . . . .

where q, = ~ / 2 n + J / 2 n ! , q,, ~ 1/ ~ 4x~, n --* oo. However, by his method Rooney could not improve the estimate (S~). Using the less known representation formula given by Koornwinder [2] ( ~ > - ½ , n = 0 , 1,2,...),

L(~)(x) =

2(-1)"

(x - r 2 + i2v/xr cos ~)"e

1 v~r(~ + ~)n!

r2r2~+! sin 2~ 4~d~dr,

(R2)

x~>0,

(K)

we find the simple estimate for [L~)(x)l which improves ($1) for some values of x and covers wider range of parameter ~. More important than the result is the motivation, which comes out from pretty attractive and difficult Krzy2 conjecture (for the references see, e.g., [3]) in the geometric function theory which says that for any bounded and nonvanishing holomorphic function in the unit disk [z[ < 1, which has the form

f(z)=e-t+alz+a2z2+

...,

t>O,

[z[
(3)

we have sup lan [ = _2 = 0.735 .... n = 1,2,... e with the equality for the function

F,(z)=F(1,z")=exp

1-

,

(4)

n=l,2,...,

(5)

where OG

F ( t , z ) = e x p ~/ - t ] -1- +z'x ~_zJ=e

' + ~-~A,(t)z",

t > O, [z[< I.

(6)

n=0

So far Krzy2 conjecture is proved only for n = 1,2,3,4 and in general it is known only that la, I <0.99918 . . . . From (1) and (6) we easily see that

A,(t)=e-'L~-l)(2t),

n = 1,2 . . . . .

(7)

Therefore, the properties of the Laguerre polynomials are strongly involved in Krzy2 conjecture [3]. There are many formulae for Laguerre polynomials [5, 7]; however, the direct estimate for IL~)(x)] is not easy to obtain. We are going to apply formula (K) and the estimates for the Gegenbauer polynomials.

Z. Lewandowski, J. Szynal/Journal of Computational and Applied Mathematics 99 (1998) 529 533

531

We start with the following simple: 1 Lemma. For ~ > - ~., x >t 0 and n = O, 1,2,..., we have

L}y(x)= ( 2 ~ +

(-1) n 1 ) , r ( ~ + 1)

/o

C~+l,2) _,

x-t ~

()

e-'t~(t+

x) n

dt,

(8)

where C~"~(y), v > 0 , y E [ - 1 , 1] denotes the Gegenbauer polynomial of degree n and order v. Proof. Using the Laplace's integral [5] for the Gegenbauer polynomials C,~,''), 1

v/~F(v) n!

C},'~(y)=

(y+

y 2 _ lcos4~),,sin 2,' 14~d45'

(L)

and Koornwinder formula (K) we can write the following chain of equalities: 2 ( - 1 )n

[~

~ (x - r2

2rv/x

× (x + r2)nr2~+le-"-~ dr =

(~ + V ~ - 1 cos 4)" sin 2~ @ dcb ,

\ l+rJ =(2~+ _ -

2(-1)" 1),F(~+I)

(l+r) 2

.f_' . (xl-Z'~( 2x "~" xdz __1Q~+ll21(v)e-X/~-°/l~+'~ \ ~+--~r/ \ l - - - ~ r / ( 1 + ~ ) 2

(-1)" f~ (2a + 1),F(~ + 1)

which ends the proof.

~

~+,/2)(x-t) C~ ~

(x + t)nt~e -' dt,

[]

Remark. We do not claim the representation (8) is new, however we have difficulty to find references for the proof. Compare formula (8) with the definition of the Gamma function e - ' t ~-I dt,

F(e)=

~>0.

In order to state our result we need the following definition. For the formal series ~n~__0a, and ~ > - 1 we define the Ces/iro mean a~) by the formula c~) a,

n! an -- (a + 1 ), \ n= I

/

(~ + 1)n_k (-n -- ~.i ak. k=0

(9)

532

Z. L e w a n d o w s k i , J. S z y n a l / J o u r n a l o f C o m p u t a t i o n a l a n d A p p l i e d M a t h e m a t i c s 99 (1998) 5 2 9 - 5 3 3

Theorem. For ~ ~> - 5,1 x ~ 0 and n = 0, 1,2,... we have ILL~)(x)I ~< (~ + 1)n a},~)(expx).

(lO)

n!

Proof. From the Laplace integral (L) it follows directly that (2v),

IC~V)(Y)l~ n-~-'

yE[-1,1],

(11)

v>O, n = 0 , 1 , 2 . . . .

Putting (11) into (8) we find, for ~ > (2~ + 1 )n [LT)(x)[ ~< (2~ + 1 ).F(~ + 1 )n!

' 2' e-'t~(t + x ) ~ dt =

1 F(~ + 1)ni 7(n'~'x)"

(12)

Moreover, we have 7(n,~,x) =

e tt~(t + x)" d t =

e-~t~+"-k dt

xk k=O

= }--~r(~ + 1 + n - k)

xk

k=0

n! (-~ +- l ) n F ( ~ + l + n ) n!

=r(~+l+n)(~l)

@F(~+l+n-k)

2-" k=0 ~

xk

r(~+~

(n - k ) ! k !

(~ + 1 )n-~ x k

o ~,:0 ( ~ - '

1,!

= F(~ + 1 + n ) a ~ ) ( e x p x ) .

The definition (9) of a~,~) and the well-known formula for Pochhammer symbol: (~ + 1 )n = F(~ + []

1 + n ) / F ( ~ + 1), which was also used above, together with (12) complete the proof of (10).

Corollary 1. For ~ = 0 we have X

X2

Xn

IL~°)(x)[ ~
x~O, n = 0 , 1 , 2 . . . . .

(13)

Corollary 2. Estimate (10) gives by the continuity: ~ )n O"n(_ l / 2 ),( e x nv x'~,, ],Ln-l/2)(X),'-~( ] .< -( -n!

x~O,

n----O, 1,2,.. .

,

(14)

which f o r large x is better than (R~) and moreover with better constant.

Remark 1. Estimate (10) is better than Szeg6 (S~) for large x, because a(,~) (expx) is the polynomial. Moreover, it covers for ~ the range ~ >~- 5"

Z. Lewandowski, J. Szynal/Journal of Computational and Applied Mathematics 99 (1998) 529 533

533

The easily checked monotonicity of o-~)(expx) (trY.~' )(exp x) > o-~.~2~(expx) for ~ < ,~_~) shows that the estimate (10) is better than (S1) for all x>~0 if 7~>n.

Remark 2. The Askey formula [6] e -~ L.~,_~,)

1

(t_

x)~,_,e_,L},,)(t)dt '

can be applied to extend estimate (10) for ~ <

/~>0,

ve~,

x~>0, n = 0 , 1 .... ,

(A)

-),

Remark 3. The more precise bounds for the Gegenbauer polynomials (see for instance [4]) can be applied to obtain a better estimate than (10). However, they are too complicated to quote them here. References [1] M. Abramowitz, 1.A. Stegun, Handbook of Mathematical Functions, Dover, New York, 1964. [2] T. Koornwinder, Jacobi polynomials II. An analytic proof of the product formula, SIAM J. Math. Anal. 5 (1974) 125-137. [3] Z. Lewandowski, J. Szynal, On the Krzy2 conjecture and related problems, in: Laine, Martio (Eds.), XVIth Rolf Nevanlinna Colloquium, Walter de Gruyter, Berlin, 1996, pp. 257-268. [4] G. Loh6fer, Inequalities for Legendre and Gegenbauer functions, J. Approx. Theory 64 (1991) 226 234. [5] E.D. Rainville, Special Functions, Macmillan, New York, 1960. [6] P.G. Rooney, Further inequalities for generalized Laguerre polynomials, C.R. Math. Rep. Acad. Sci. Canada 7 (1985) 273 -275. [7] G. Szeg6, Orthogonal Polynomials, Amer. Math. Soc. Coll. Publ., vol. 23, American Mathematical Society, New York, 1939.