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Calculus 2nd Edition Rogawski

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SECTION 6.2 Setting Up Integrals: Volume, Density, Average Value 307<br />

In general, density is a function ρ(x, y)<br />

that depends not just on the distance to<br />

the origin but also on the coordinates<br />

(x, y). Total mass or population is then<br />

computed using double integration, a topic<br />

in multivariable calculus.<br />

Ring of<br />

width r,<br />

Area ≈ 2πr i r<br />

r 1 r 2 r i R<br />

FIGURE 8 Dividing the circle of radius R<br />

into N thin rings of width r = R/N.<br />

Remember that for a radial density<br />

function, the total population is obtained<br />

by integrating 2πrρ(r) rather than ρ(r).<br />

In some situations, density is a function of distance to the origin. For example, in<br />

the study of urban populations, it might be assumed that the population density ρ(r) (in<br />

people per square kilometer) depends only on the distance r from the center of a city. Such<br />

a density function is called a radial density function.<br />

We now derive a formula for the total population P within a radius R of the city<br />

center assuming a radial density ρ(r). First, divide the circle of radius R into N thin rings<br />

of equal width r = R/N as in Figure 8.<br />

N∑<br />

Let P i be the population within the ith ring, so that P = P i . If the outer radius of<br />

the ith ring is r i , then the circumference is 2πr i , and if r is small, the area of this ring<br />

is approximately 2πr i r (outer circumference times width). Furthermore, the population<br />

density within the thin ring is nearly constant with value ρ(r i ). With these approximations,<br />

i=1<br />

P i ≈ 2πr i r ×<br />

} {{ }<br />

ρ(r i )<br />

} {{ }<br />

= 2πr i ρ(r i )r<br />

Area of ring Population<br />

density<br />

P =<br />

N∑<br />

N∑<br />

P i ≈ 2π r i ρ(r i )r<br />

This last sum is a right-endpoint approximation to the integral 2π<br />

i=1<br />

i=1<br />

∫ R<br />

0<br />

rρ(r) dr.As N tends<br />

to ∞, the approximation improves in accuracy and the sum converges to the integral. Thus,<br />

for a population with a radial density function ρ(r),<br />

Population P within a radius R = 2π<br />

∫ R<br />

0<br />

rρ(r) dr 4<br />

EXAMPLE 5 Computing Total Population The population in a certain city has radial<br />

density function ρ(r) = 15(1 + r 2 ) −1/2 , where r is the distance from the city center in<br />

kilometers and ρ has units of thousands per square kilometer. How many people live in<br />

the ring between 10 and 30 km from the city center?<br />

Solution The population P (in thousands) within the ring is<br />

P = 2π<br />

∫ 30<br />

10<br />

r ( 15(1 + r 2 ) −1/2) dr = 2π(15)<br />

∫ 30<br />

10<br />

r<br />

(1 + r 2 dr<br />

) 1/2<br />

Now use the substitution u = 1 + r 2 , du = 2rdr. The limits of integration become<br />

u(10) = 101 and u(30) = 901:<br />

∫ 901<br />

( ) 1<br />

P = 30π u −1/2 du = 30πu 1/2∣ ∣901<br />

≈ 1881 thousand<br />

2<br />

101<br />

101<br />

In other words, the population is approximately 1.9 million people.<br />

Flow Rate<br />

When fluid flows through a tube, the flow rate Q is the volume per unit time of fluid<br />

passing through the tube (Figure 9). The flow rate depends on the velocity of the fluid particles.<br />

If all particles of the fluid travel with the same velocity v (say, in units of cm 3 /min),<br />

and the tube has radius R, then<br />

Flow rate Q = cross-sectional area × velocity = πR<br />

} {{ }<br />

2 v cm 3 /min<br />

Volume per unit time

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