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My PhD Thesis, PDF 3MB - Stanford University

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normalized Hankel functions of n th order, respectively. It should be emphasized that the<br />

normalized Hankel functions are used instead of the ordinary Hankel functions ( H n<br />

( 2 )<br />

and H ( x ) ). For a large argument x, the ordinary Hankel functions are approximated as<br />

n<br />

( 1)<br />

H ( x ) <br />

n<br />

( 2 )<br />

H ( x ) <br />

n<br />

2<br />

e<br />

x<br />

2<br />

e<br />

x<br />

n <br />

i( x <br />

2 4 )<br />

,<br />

n <br />

i( x <br />

2 4 )<br />

.<br />

When the argument x is complex, the imaginary part of x causes the exponential to<br />

increase or decay, making the numerical procedure unstable (computer may overflow or<br />

ix<br />

underflow). If we normalize them by multiplying factors e<br />

- 30 -<br />

( 1 )<br />

( x )<br />

ix<br />

and e , respectively, their<br />

asymptotic behavior will be much improved. I will use the normalized Hankel functions<br />

( 1 )<br />

( 2 )<br />

( H ( x ) n and H ( x ) n ) to express the solutions. Therefore, the algorithm is numerically<br />

stable even for large argument (the high frequency problem). Section 2.5.1 gives an<br />

example to show this.<br />

where<br />

In the fluid-filled borehole (j = 1), the solution is<br />

? (1 )<br />

(1 )<br />

( 1) (1 )<br />

( r , k , ) cJ ( r ) s H ( r )<br />

o <br />

o <br />

and (see Appendix A-3)<br />

( 1)<br />

c e p <br />

i ( 1 ) ( 1 )<br />

( r r ) ( 2 ) ( 1)<br />

(1 )<br />

<br />

H ( r ) (c s )e o <br />

p i ( 1 )<br />

r ( 1) (1 )<br />

<br />

H ( r ) (2.7a)<br />

o <br />

(1 )<br />

c p <br />

s <br />

(1 )<br />

c e p <br />

i ( 1 ) ( 1 )<br />

r<br />

<br />

4 ( (1)<br />

i<br />

c<br />

2<br />

(1 )<br />

2 )<br />

, (2.7b)<br />

F ( ) ;

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