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James Stewart-Calculus_ Early Transcendentals-Cengage Learning (2015)

A five star textbook for college calculus

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Section 7.7 Approximate Integration 521

y 2

1

Example 4 Use Simpson’s Rule with n − 10 to approximate y 2 s1yxd dx.

1

SOLUtion Putting f sxd − 1yx, n − 10, and Dx − 0.1 in Simpson’s Rule, we obtain

1

x dx < S 10

− Dx

3

f f s1d 1 4 f s1.1d 1 2 f s1.2d 1 4 f s1.3d 1 ∙ ∙ ∙ 1 2 f s1.8d 1 4 f s1.9d 1 f s2dg

− S 0.1 1 3 1 1 4

1.1 1 2

1.2 1 4

1.3 1 2

1.4 1 4

1.5 1 2

1.6 1 4

1.7 1 2

1.8 1 4

1.9 2D 1 1

< 0.693150 n

Notice that, in Example 4, Simpson’s Rule gives us a much better approximation

sS 10 < 0.693150d to the true value of the integral sln 2 < 0.693147. . .d than does the

Trapezoidal Rule sT 10 < 0.693771d or the Midpoint Rule sM 10 < 0.692835d. It turns out

(see Exercise 50) that the approximations in Simpson’s Rule are weighted averages of

those in the Trapezoidal and Midpoint Rules:

S 2n − 1 3 T n 1 2 3 M n

(Recall that E T and E M usually have opposite signs and | E M | is about half the size of

| E T | .)

In many applications of calculus we need to evaluate an integral even if no explicit

formula is known for y as a function of x. A function may be given graphically or as a

table of values of collected data. If there is evidence that the values are not changing

rapidly, then the Trapezoidal Rule or Simpson’s Rule can still be used to find an approximate

value for y b y dx, the integral of y with respect to x.

a

Example 5 Figure 9 shows data traffic on the link from the United States to

SWITCH, the Swiss academic and research network, on February 10, 1998. Dstd is the

data throughput, measured in megabits per second sMbysd. Use Simpson’s Rule to estimate

the total amount of data transmitted on the link from midnight to noon on that day.

D

8

6

4

2

FIGURE 9

0

3 6 9 12 15 18 21 24 t (hours)

SOLUtion Because we want the units to be consistent and Dstd is measured in megabits

per second, we convert the units for t from hours to seconds. If we let Astd be the

amount of data (in megabits) transmitted by time t, where t is measured in seconds,

then A9std − Dstd. So, by the Net Change Theorem (see Section 5.4), the total amount

Copyright 2016 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).

Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

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