Suppose you are a biologist investigating a population that doubles every year. So if you start with 1 specimen, the population can be expressed as an exponential function:
p(t)=2tp(t)=2t size 12{p \( t \) =2 rSup { size 8{t} } } {} where
tt size 12{t} {} is the number of years you have been watching, and
pp size 12{p} {} is the population.
Question: How long will it take for the population to exceed 1,000 specimens?
We can rephrase this question as: “2 to what power is 1,000?” This kind of question, where you know the base and are looking for the exponent, is called a logarithm.
log21000log21000 size 12{"log" rSub { size 8{2} } "1000"} {} (read, “the logarithm, base two, of a thousand”) means “2, raised to what power, is 1000?”
In other words, the logarithm always asks “What exponent should we use?” This unit will be an exploration of logarithms.
Table 1
| Problem |
Means |
The answer is |
because |
|
log
2
8
log
2
8
|
2 to what power is 8? |
3 |
2
3
2
3
is 8 |
|
log
2
16
log
2
16
|
2 to what power is 16? |
4 |
2
4
2
4
is 16 |
|
log
2
10
log
2
10
|
2 to what power is 10? |
somewhere between 3 and 4 |
2
3
=
8
2
3
=8
and
2
4
=
16
2
4
=16
|
|
log
8
2
log
8
2
|
8 to what power is 2? |
1
3
1
3
|
8
1
3
=
8
3
=
2
8
1
3
=
8
3
=2
|
|
log
10
10,000
log
10
10,000 |
10 to what power is 10,000? |
4 |
10
4
=
10,000
10
4
=10,000 |
|
log
10
(
1
100
)
log
10
(
1
100
)
|
10 to what power is
1
100
1
100
? |
–2 |
10
–2
=
1
10
2
=
1
100
10
–2
=
1
10
2
=
1
100
|
|
log
5
0
log
5
0 |
5 to what power is 0? |
There is no answer |
5
something
5
something
will never be 0 |
As you can see, one of the most important parts of finding logarithms is being very familiar with how exponents work!
"DAISY and BRF versions of this collection are available."