
194 • Exponentials and Logarithms
This means that the rate of change of y is equal to ky. Interesting! The rate
that the quantity is changing depends on how much of the quantity you have.
If you have more of the quantity, then it grows faster (assuming k > 0). This
makes sense in the case of population growth: the more rabbits you have, the
more they can breed. If you have twice as many rabbits, they also produce
twice as many rabbits in any given time period. The number k, which is
called the growth constant, controls how fast the rabbits are breeding in the
first place. The hornier they are, the higher k is!
9.6.1 Exponential growth
So, suppose we have a population which grows exponentially. In symbols, let
P (or P (t), if you prefer) be the population at time t, and let k be the growth
constant. The differential equation for P is
dP
dt
= kP.
This is the same as the differential equation in the box above, except that
some symbols have changed. Instead of y, we have P ; and instead of x, we
have t. Never mind, we’re good at adapting to these situations; we’ll just
make the same changes in the solution y = Ae
kx
. We end up with P = Ae
kt
for some constant A. Now, when t = 0, we have P = Ae
k(0)
= Ae
0
= A, since
e
0
= 1. This means that A is the initial population, that is, the population
at time 0. It’s customary to relabel this variable as well. Instead of A, we’ll
write P
0
to indicate that it represents the population at time 0. Altogether,
we have found the
exponential growth equation: P (t) = P
0
e
kt
.
Remember, P
0
is the initial population and k is the growth constant.
This formula is easy to apply in practice, provided that you know your
exponential and log rules (see Sections 9.1.1 and 9.1.4 above). For example,
if you know that a population of rabbits started 3 years ago at 1000, but now
PSfrag replacements
(
a, b)
[
a, b]
(
a, b]
[
a, b)
(
a, ∞)
[
a, ∞)
(
−∞, b)
(
−∞, b]
(
−∞, ∞)
{
x : a < x < b}
{
x : a ≤ x ≤ b}
{
x : a < x ≤ b}
{
x : a ≤ x < b}
{
x : x ≥ a}
{
x : x > a}
{
x : x ≤ b}
{
x : x < b}
R
a
b
shadow
0
1
4
−
2
3
−
3
g(
x) = x
2
f(
x) = x
3
g(
x) = x
2
f(
x) = x
3
mirror (
y = x)
f
−
1
(x) =
3
√
x
y = h
(x)
y = h
−
1
(x)
y = (
x − 1)
2
−
1
x
Same height
−
x
Same length,
opposite signs
y = −
2x
−
2
1
y =
1
2
x − 1
2
−
1
y = 2
x
y = 10
x
y = 2
−
x
y = log
2
(
x)
4
3 units
mirror (
x-axis)
y = |
x|
y = |
log
2
(x)|
θ radians
θ units
30
◦
=
π
6
45
◦
=
π
4
60
◦
=
π
3
120
◦
=
2
π
3
135
◦
=
3
π
4
150
◦
=
5
π
6
90
◦
=
π
2
180
◦
= π
210
◦
=
7
π
6
225
◦
=
5
π
4
240
◦
=
4
π
3
270
◦
=
3
π
2
300
◦
=
5
π
3
315
◦
=
7
π
4
330
◦
=
11
π
6
0
◦
= 0 radians
θ
hypotenuse
opposite
adjacent
0 (
≡ 2π)
π
2
π
3
π
2
I
II
III
IV
θ
(
x, y)
x
y
r
7
π
6
reference angle
reference angle =
π
6
sin +
sin −
cos +
cos −
tan +
tan −
A
S
T
C
7
π
4
9
π
13
5
π
6
(this angle is
5
π
6
clockwise)
1
2
1
2
3
4
5
6
0
−
1
−
2
−
3
−
4
−
5
−
6
−
3π
−
5
π
2
−
2π
−
3
π
2
−
π
−
π
2
3
π
3
π
5
π
2
2
π
3
π
2
π
π
2
y = sin(
x)
1
0
−
1
−
3π
−
5
π
2
−
2π
−
3
π
2
−
π
−
π
2
3
π
5
π
2
2
π
2
π
3
π
2
π
π
2
y = sin(
x)
y = cos(
x)
−
π
2
π
2
y = tan(
x), −
π
2
< x <
π
2
0
−
π
2
π
2
y = tan(
x)
−
2π
−
3π
−
5
π
2
−
3
π
2
−
π
−
π
2
π
2
3
π
3
π
5
π
2
2
π
3
π
2
π
y = sec(
x)
y = csc(
x)
y = cot(
x)
y = f(
x)
−
1
1
2
y = g(
x)
3
y = h
(x)
4
5
−
2
f(
x) =
1
x
g(
x) =
1
x
2
etc.
0
1
π
1
2
π
1
3
π
1
4
π
1
5
π
1
6
π
1
7
π
g(
x) = sin
1
x
1
0
−
1
L
10
100
200
y =
π
2
y = −
π
2
y = tan
−
1
(x)
π
2
π
y =
sin(
x)
x
, x > 3
0
1
−
1
a
L
f(
x) = x sin (1/x)
(0 < x < 0
.3)
h
(x) = x
g(
x) = −x
a
L
lim
x
→a
+
f(x) = L
lim
x
→a
+
f(x) = ∞
lim
x
→a
+
f(x) = −∞
lim
x
→a
+
f(x) DNE
lim
x
→a
−
f(x) = L
lim
x
→a
−
f(x) = ∞
lim
x
→a
−
f(x) = −∞
lim
x
→a
−
f(x) DNE
M
}
lim
x
→a
−
f(x) = M
lim
x
→a
f(x) = L
lim
x
→a
f(x) DNE
lim
x
→∞
f(x) = L
lim
x
→∞
f(x) = ∞
lim
x
→∞
f(x) = −∞
lim
x
→∞
f(x) DNE
lim
x
→−∞
f(x) = L
lim
x
→−∞
f(x) = ∞
lim
x
→−∞
f(x) = −∞
lim
x
→−∞
f(x) DNE
lim
x →a
+
f(
x) = ∞
lim
x →a
+
f(
x) = −∞
lim
x →a
−
f(
x) = ∞
lim
x →a
−
f(
x) = −∞
lim
x →a
f(
x) = ∞
lim
x →a
f(
x) = −∞
lim
x →a
f(
x) DNE
y = f (
x)
a
y =
|
x|
x
1
−
1
y =
|
x + 2|
x + 2
1
−
1
−
2
1
2
3
4
a
a
b
y = x sin
1
x
y = x
y = −
x
a
b
c
d
C
a
b
c
d
−
1
0
1
2
3
time
y
t
u
(
t, f(t))
(
u, f(u))
time
y
t
u
y
x
(
x, f(x))
y = |
x|
(
z, f(z))
z
y = f(
x)
a
tangent at x = a
b
tangent at x = b
c
tangent at x = c
y = x
2
tangent
at x = −
1
u
v
uv
u + ∆
u
v + ∆
v
(
u + ∆u)(v + ∆v)
∆
u
∆
v
u
∆v
v∆
u
∆
u∆v
y = f(
x)
1
2
−
2
y = |
x
2
− 4|
y = x
2
− 4
y = −
2x + 5
y = g(
x)
1
2
3
4
5
6
7
8
9
0
−1
−2
−3
−4
−5
−6
y = f (x)
3
−3
3
−3
0
−1
2
easy
hard
flat
y = f
0
(x)
3
−3
0
−1
2
1
−1
y = sin(x)
y = x
x
A
B
O
1
C
D
sin(x)
tan(x)
y =
sin(x)
x
π
2π
1
−1
x = 0
a = 0
x > 0
a > 0
x < 0
a < 0
rest position
+
−
y = x
2
sin
1
x
N
A
B
H
a
b
c
O
H
A
B
C
D
h
r
R
θ
1000
2000
α
β
p
h
y = g(x) = log
b
(x)
y = f(x) = b
x
y = e
x
5
10
1
2
3
4
0
−1
−2
−3
−4
y = ln(x)
has grown to 64,000, then what will the population be one year from now?
Also, what is the total time it will take for the population to grow from 1000
to 400,000?
Well, we have P
0
= 1000, since that’s the initial population. So the
equation in the box above becomes P (t) = 1000e
kt
. The problem is, we don’t
know what k is. We do know that P = 64000 when t = 3, so let’s plug this
in:
64000 = 1000e
3k
.
This means that e
3k
= 64. Take logs of both sides to get 3k = ln(64), so
k =
1
3
ln(64). Actually, if you write ln(64) = ln(2
6
) = 6 ln(2), then you can
simplify down to k = 2 ln(2). This means that
P (t) = 1000e
2 ln(2)t
for any time t. Now we can solve both parts of the problem. For the first
part, we want to know what happens a year from now. This is actually 4