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JOURNAL OF RESEARCH of the National Bureau of Standards-B. Mathematical Science, Vol. 74B, No.3, July- September 1970 Selecting Nonlinear Transformations for the Evaluation of Improper integrals* T. l4.. Atchison** (May 25, 1970) Recent lit erat ure conce rnin g the us e of nonlin ear transformations to e valuat e numeri ca lly certain improper int eg ral s of the fir st kind involves the determination of a transformation function g to im· prove the app roximation. By approximating a given integrandIby an int egrab le function II and then determining an as soci ated g function for II , a nonlin ear tran s formation may be construct ed whic h will yi e ld an improved a pproximation of the improper int egral of;: Key words: Im prope r inte gral, nonlinear tran sformation. 1. Introduction H. L. Gray and T. A. Atchison I introduced a class of nonlinear transformations to assist In the numerical evaluation of improp er int egrals of the first kind. A transformation from this c lass is co mpl ete ly determined by specifying the integrand of th e improper integral and a transformation funct ion g satisfy in g certain mild restrictions. The purpose of this paper is to exhibit a scheme for the selection of g which will yield a good approximat ion to the improper integraL 2. Selecting the Transformation The Genera liz ed G·transform of Atchison and Gray is as follows: Iffis cont inu ous on [a , (0 ) a nd a (2.1) th en G[F' . J=F(t) - R(t)F(g(t)) ,g,t 1-R(t) (2.2) where gEe l and g(t) a on [a, 00), lim g(t) = 00, and ' ..... 00 R t - f(t) ( ) - f(g(t) )g' (t) (2.3) One of the basic theorems proved (see footnote 1) co nc erns the determination of a differenti· able function g such that G[F; g; tJ == S for alIt to a for some class offunctionsf: THEOREM: A necessary and sufficient condition that G[F; g; tJ == S for all t to a is that R(t) is constant for t to. In general, for a given integrandf , the determination of a function g for which R (t) is c onstant is difficult. However, suppose fl is an integrabl e function which approximat es f Re quirin g the * An in vit.ed pape r. ** Present Address: Texas T ec h. Univers it y, De partment of Mathemati cs, Lubboc k, Texas 79409. 1 H. L. Gra y and T . A. Al c hi so n,Th e Ge neralized C-tran sforrnalion, Math. Co mpo 22, No. 103, 59s--. 606(l%8). 183

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Page 1: Selecting nonlinear transformations for the evaluation of … · 2011-05-18 · Selecting Nonlinear Transformations for the Evaluation of Improper integrals* T. l4.. Atchison** (May

JOURNAL OF RESEARCH of the National Bureau of Standards-B. Mathematical Science, Vol. 74B, No.3, July- September 1970

Selecting Nonlinear Transformations for the Evaluation of Improper integrals*

T. l4.. Atchison**

(May 25, 1970)

Recent lit erature concerning the use of nonlinear transformations to evaluate numeri ca lly certain improper integral s of the first kind involves the determination of a transformation function g to im· prove the approxim ation. By approximating a given integrandIby an integrab le fun c tion II and then determining an associated g function for II , a nonlinear transformation may be constructe d which will yie ld an improved a pproximation of the improper integral of;:

Key words: Im prope r integral, nonlinear transformation.

1. Introduction

H. L. Gray and T. A. Atchison I introduced a class of nonlinear transformations to assist In

the numerical e valuation of improper integrals of the first kind. A transformation from this c lass is completely determined by specifying the integrand of the improper integral and a transformation function g satisfy ing certain mild restrictions. The purpose of this paper is to exhibit a sche me for the selection of g which will yield a good approximation to the improper integraL

2. Selecting the Transformation

The Generalized G·transform of Atchison and Gray is as follows: Iffis continuous on [a, (0 ) a nd

F(t) = J tf(x)dx~Sas t~oo, a

(2.1)

then

G[F' . J=F(t) - R(t)F(g(t)) ,g, t 1-R(t) (2.2)

where gEel and g(t) ~ a on [a, 00), lim g(t) = 00, and ' ..... 00

R t - f(t) ( ) - f(g(t) )g' (t) (2.3)

One of the basic theorems proved (see footnote 1) concerns the determination of a differenti· able function g such that G[F; g; tJ == S for alIt ~ to ~ a for some class offunctionsf: THEOREM: A necessary and sufficient condition that G[F; g; tJ == S for all t ~ to ~ a is that R(t) is constant for t ~ to.

In general, for a given integrandf, the determination of a function g for which R (t) is constant is difficult. However, suppose fl is an integrable fun c tion whic h approximates f Requirin g the

* An invit.ed pape r.

** Present Address: Texas T ech. Universit y, Department of Mathe matics, Lubbock, Texas 79409 .

1 H. L. Gra y and T . A. Al chi son,The Gene ralized C -transforrnalion, Math. Compo 22, No. 103, 59s--.606(l%8).

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corresponding R (t) to be constant we get

j; (g(t) )g' (t) = cd! (t) for t ~ to. (2.4)

If y=g(t), then (2.4) becomes

/1 (y)dy= CJI (t)dt (2.5)

and integration yields

(2.6)

where CI and C2 are constants. Thus, if

H(y)= f j;(y)dy, (2.7)

then any differentiable function g which satisfies the functional equation

for t ~ to. (2.8)

will result in

for t ~ to. (2.9)

where

(2.10)

Since/I approximates/, then C[F, ,; g; tJ will be an approximation ofS. To illustrate this procedure, consider

2 It F(t) = V7T a e- x2 dx~ erfc (a) as t~ 00, (2.11)

where 0 < a < 00. For y ~ 1, the integrand of (2.11) may be approximated by

j;(y) =ye- y2 (2.12)

and /1 possesses an integral

(2.13)

One may determine a function y= g(t) which satisfies (2.8) by choosing CI = e- k2 and Cz = o. Such a function is

get) =Vt2+k2. (2.14)

Applying (2.2) to (2.11) and utilizing (2.14) we get

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F(t) -ek 2 ~ F(-Vt 2 +k2 )

C[F; g; t] = _____ t-===-__ l-ek 2~

(2. 15)

t

Theore m 1 (see footnote 1) may be applied to (2.15) to show that it converges to erfc (a) more rapidly than either F(t) on F( Vt 2 +k2 ). This is illustrated by the following numerical valu es in the case a = 1, k = 1:

t F(t) Error G[F; g ; tJ Error

1.0 0.0 0.15729921 0 .15023133 0.00706788 1.5 .12340436 .03389485 .15655151 .00074770 2.0 .15262147 .0046777 .15745495 .00015574

If we a pply Aitken's ~2·process to the F(t) column 2 the res ulting ap proximation is 0.16168462 which is in error by 0.00438541.

A general procedure for solving the functional equ ation (2.8) is not available. Also, for differe nt choices of C I and C2, other solutions of the func tional equation may be determined.

(Paper 74B3-329)

2 M. Abramowitz and I. A. S tegun, Ha ndbook of Mathe ma ti ca l Func tions. NBS Applied Mathematics S eries 55, U.S. Covernme nt Printing Office.

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