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B–8 Functional Transformations of Random Variables 705<br />

y= h(x) y= A sin x<br />

A<br />

y 0<br />

y<br />

A<br />

y 0<br />

∏<br />

∏<br />

2<br />

∏<br />

2<br />

∏<br />

x<br />

x 1 x 2<br />

A A<br />

f y (y)<br />

–A<br />

A<br />

f x (x)<br />

1<br />

2∏<br />

∏<br />

x 1 x 2 ∏<br />

x<br />

y 0 y 0<br />

x 2 x 1<br />

<br />

A 2 2<br />

y 0<br />

A 2 2<br />

y 0<br />

Figure B–9<br />

Evaluation of the PDF of a sinusoid (Ex. B–5).<br />

namely, x 1 and x 2 , as shown in the figure. Thus, M = 2, provided that ƒyƒ 6 A. Otherwise, M = 0.<br />

Evaluating the derivative of Eq. (B–69), we obtain<br />

and for 0 … y … A, we get<br />

and<br />

dy<br />

dx = A cos x<br />

x 1 = Sin -1 a y A b<br />

x 2 = p - x 1<br />

where the uppercase S in Sin -1 (·) denotes the principal angle. A similar result is obtained for<br />

-A … y … 0. Using Eq. (B–68), we find that the PDF for y is<br />

f x (x 1 ) f x (x 2 )<br />

+<br />

, ƒ y ƒ … A<br />

ƒ A cos x<br />

f y (y) = µ 1 ƒ ƒ -A cos x 2 ƒ<br />

0, y elsewhere<br />

(B–70)<br />

The denominators of these two terms are evaluated with the aid of the triangles shown in the insert<br />

of Fig. B–9. By using this result and substituting the uniform PDF for f x (x), (B–70) becomes

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