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5128_Ch07_pp378-433

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Chapter 7 Overview<br />

Section 7.1 Integral as Net Change 379<br />

By this point it should be apparent that finding the limits of Riemann sums is not just an<br />

intellectual exercise; it is a natural way to calculate mathematical or physical quantities<br />

that appear to be irregular when viewed as a whole, but which can be fragmented into regular<br />

pieces. We calculate values for the regular pieces using known formulas, then sum<br />

them to find a value for the irregular whole. This approach to problem solving was around<br />

for thousands of years before calculus came along, but it was tedious work and the more<br />

accurate you wanted to be the more tedious it became.<br />

With calculus it became possible to get exact answers for these problems with almost<br />

no effort, because in the limit these sums became definite integrals and definite integrals<br />

could be evaluated with antiderivatives. With calculus, the challenge became one of fitting<br />

an integrable function to the situation at hand (the “modeling” step) and then finding an<br />

antiderivative for it.<br />

Today we can finesse the antidifferentiation step (occasionally an insurmountable hurdle<br />

for our predecessors) with programs like NINT, but the modeling step is no less crucial.<br />

Ironically, it is the modeling step that is thousands of years old. Before either calculus<br />

or technology can be of assistance, we must still break down the irregular whole into regular<br />

parts and set up a function to be integrated. We have already seen how the process<br />

works with area, volume, and average value, for example. Now we will focus more closely<br />

on the underlying modeling step: how to set up the function to be integrated.<br />

7.1<br />

What you’ll learn about<br />

• Linear Motion Revisited<br />

• General Strategy<br />

• Consumption Over Time<br />

• Net Change from Data<br />

• Work<br />

. . . and why<br />

The integral is a tool that can be<br />

used to calculate net change and<br />

total accumulation.<br />

Integral As Net Change<br />

Linear Motion Revisited<br />

In many applications, the integral is viewed as net change over time. The classic example<br />

of this kind is distance traveled, a problem we discussed in Chapter 5.<br />

EXAMPLE 1<br />

Interpreting a Velocity Function<br />

Figure 7.1 shows the velocity<br />

d s<br />

v(t) t<br />

dt<br />

2 c<br />

<br />

t <br />

81 2 m s ec<br />

of a particle moving along a horizontal s-axis for 0 t 5. Describe the motion.<br />

SOLUTION<br />

Solve Graphically The graph of v (Figure 7.1) starts with v0 8, which we interpret<br />

as saying that the particle has an initial velocity of 8 cmsec to the left. It slows to a<br />

halt at about t 1.25 sec, after which it moves to the right v 0 with increasing speed,<br />

reaching a velocity of v524.8 cmsec at the end.<br />

Now try Exercise 1(a).<br />

[0, 5] by [–10, 30]<br />

Figure 7.1 The velocity function in<br />

Example 1.<br />

EXAMPLE 2<br />

Finding Position from Displacement<br />

Suppose the initial position of the particle in Example 1 is s0 9. What is the particle’s<br />

position at (a) t 1 sec? (b) t 5 sec?<br />

SOLUTION<br />

Solve Analytically<br />

(a) The position at t 1 is the initial position s0 plus the displacement (the<br />

amount, Δs, that the position changed from t 0 to t 1). When velocity is<br />

continued

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