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Section A.10 Chapter 10 Logarithmic Functions

Subsection A.10.1 Logarithmic Functions

Subsubsection A.10.1.1 Graph log functions

One way to graph a log function is to first make a table of values for its inverse function, the exponential function with the same base, then interchange the variables.
Checkpoint A.10.1.
  1. Complete the table of values and graph on the same grid: \(~f(x)=x^3~\) and \(~g(x)=3^x~\)
    \(~~~x~~~\) \(~~~0~~~\) \(~~~1~~~\) \(~~~2~~~\) \(~~~3~~~\) \(~~~4~~~\) \(~~~5~~~\) \(~~~6~~~\) \(~~~8~~~\) \(~~10~~~\)
    \(~f(x)~\) \(\) \(\) \(\) \(\) \(\) \(\) \(\) \(\) \(\)
    \(~g(x)~\) \(\) \(\) \(\) \(\) \(\) \(\) \(\) \(\) \(\)
    Grid for 3 to x and x-cubed
  2. Use your tables from part (a) to graph \(~h(x)=\sqrt[3]{x}~\) and \(~j(x)=\log_3 {(x)}~\) on the same grid.
    Grid for log base 3 and cube root
Answer.
  1. 3 to x and x-cubed
  2. log base 3 and cube root

Subsubsection A.10.1.2 Use function notation

A log function is the inverse of the exponential function with the same base, and vice versa.
Example A.10.2.
For each function \(~f(x)~\text{,}\) decide whether \(f(a+b)=f(a)+f(b)\text{.}\)
  1. \(\displaystyle f(x)=3^x\)
  2. \(\displaystyle f(x)=\log_3 {(x)}\)
Solution.
  1. \(f(a+b)=3^{a+b},~\) and \(~f(a)+f(b) = 3^a+3^b.~\)
    But \(~3^{a+b}~\) is not equivalent to \(~3^a+3^b;~\) in fact \(~3^{a+b} =3^a \cdot 3^b.\)
    So for this function, \(f(a+b) \not= f(a)+f(b)\text{.}\)
  2. \(f(a+b)=\log_3 {(a+b)},~\) and \(~f(a)+f(b) = \log_3 {(a)} +\log_3 {(b)}.~\)
    But \(~\log_3 {(a+b)}~\) is not equivalent to \(~\log_3 {(a)} +\log_3 {9};~\) in fact \(~\log_3 {(ab)} = \log_3 {(a)} +\log_3 {(b)}.\)
    So for this function, \(f(a+b) \not= f(a)+f(b)\text{.}\)
Checkpoint A.10.3.
\(g(x)=5^x~\text{.}\) Evaluate and simplify if possible.
  1. \(\displaystyle g(3+t)\)
  2. \(\displaystyle g(3t)\)
Answer.
  1. \(\displaystyle 125 \cdot 5^{t}\)
  2. \(\displaystyle 125^t\)
Example A.10.4.
\(q(x)=9^x~\) and \(p(x)\) is its inverse function. Evaluate if possible.
  1. \(\displaystyle q\left(\dfrac{1}{2}\right)\)
  2. \(\displaystyle p(3)\)
  3. \(\displaystyle q(0)\)
  4. \(\displaystyle p(0)\)
Solution.
  1. \(\displaystyle 3\)
  2. \(\displaystyle \dfrac{1}{2}\)
  3. \(\displaystyle 1\)
  4. undefined
Checkpoint A.10.5.
\(h(x)=\log_4 {(x)}.~\) Evaluate if possible.
  1. \(\displaystyle h(4)\)
  2. \(g(4)\text{,}\) where \(g\) is the inverse function for \(h\)
  3. \(\displaystyle h(0)\)
  4. \(\displaystyle g(0)\)
Answer.
  1. \(\displaystyle 1\)
  2. \(\displaystyle 256\)
  3. undefined
  4. \(\displaystyle 1\)
Checkpoint A.10.6.
\(f(x)=\log_8 {(x)}~\text{.}\) Evaluate and simplify if possible.
  1. \(\displaystyle f(64p)\)
  2. \(\displaystyle f(64+p)\)
Answer.
  1. \(\displaystyle 2+\log_8 {(p)}\)
  2. cannot be simplified

Subsubsection A.10.1.3 Use the properties of logarithms

The three properties of logarithms are helpful in making computations involving logs.
Properties of Logarithms.
If \(x\text{,}\) \(y\text{,}\) \(b \gt 0\text{,}\) and \(b\ne 1\text{,}\) then
  1. \(\displaystyle \log_{b}{(xy)} = \log_{b}{(x)} + \log_{b}{(y)}\)
  2. \(\displaystyle \log_{b}\left(\dfrac{x}{y}\right) = \log_b {(x)} - \log_b {(y)}\)
  3. \(\displaystyle \log_b {(x^k)} = k \log_b {(x)} \)
Example A.10.7.
If \(\log_b {(10)} = 2.303\) and \(\log_b {(2)} = 0.693\text{,}\) what is \(\log_b {(5)}\text{?}\)
Solution.
Because \(5 = \dfrac{10}{2}\text{,}\)
\begin{equation*} \log_b {(5)} = \log_b \left(\dfrac{10}{2}\right) = \log_b {(10)} - \log_b {(2)} = 2.303 - 0.693 = 1.61 \end{equation*}
Example A.10.8.
If \(\log_b {(10)} = 2.303\) and \(\log_b {(2)} = 0.693\text{,}\) what is \(\log_b {(20)}\text{?}\)
Solution.
Because \(20 = 10 \cdot 2\text{,}\)
\begin{equation*} \log_b {(20)} = \log_b {(10 \cdot 2)} = \log_b {(10)} + \log_b {(2)} = 2.303 + 0.693 = 2.996 \end{equation*}
Checkpoint A.10.9.
Take the log of each number. What do you notice?
  1. \(\displaystyle 8 \cdot 100 = 800\)
  2. \(\displaystyle 12 \cdot 1000 = 12,000\)
  3. \(\displaystyle 20 \cdot 25 = 500\)
  4. \(\displaystyle 200 \cdot 250 = 50,000\)
Answer.
  1. \(\displaystyle \log {(8)} + \log {(10)} = \log {(800)}\)
  2. \(\displaystyle \log {(12)} + \log {(100)} = \log {(12,000)}\)
  3. \(\displaystyle \log {(20)} + \log {(25)} = \log {(500)}\)
  4. \(\displaystyle \log {(200)} + \log {(250)} = \log {(50,000)}\)
Checkpoint A.10.10.
Compare the two operations. What do you notice?
  1. (i) Compute \(10^{2.68}~~~~~~~~~~~~~~~~~\) (ii) Solve for \(x:~~\log {(x)} = 2.68\)
  2. (i) Compute \(10^{-0.75}~~~~~~~~~~~~~~~~\) (ii) Solve for \(x:~~\log {(x)} = -0.75\)
Answer.
  1. (i) and (ii) have the same answer: \(478.63\)
  2. (i) and (ii) have the same answer: \(0.1778\)
Checkpoint A.10.11.
  1. The ratio of \(N\) to \(P\) is \(32.6\text{.}\) Compute \(\log {(N)} - \log {(P)}\text{.}\)
  2. \(\log {(z)} - \log {(t)} = 2.5\text{.}\) Compute \(\dfrac{z}{t}\text{.}\)
Answer.
  1. \(\displaystyle 1.5132\)
  2. \(\displaystyle 316.2278\)

Subsection A.10.2 Logarithmic Scales

Subsubsection A.10.2.1 Plot a log scale

Because \(\log {(x)}\) grows very slowly, we can use logs to compare quantities that vary greatly in magnitude.
Example A.10.12.
  1. Complete the table. Round the values to one decimal place.
    \(x\) \(~1~\) \(~5~\) \(25\) \(125\) \(625\)
    \(\log {(x)}\) \(\) \(\) \(\) \(\) \(\)
  2. Plot the values of \(x\) on a log scale.
    log scale
  3. Each time we multiply \(x\) by 5, how much does the logarithm increase? What is \(\log {(5)}\text{,}\) to one decimal place?
Solution.
  1. \(x\) \(~1~\) \(~5~\) \(25\) \(125\) \(625\)
    \(\log x\) \(0\) \(0.7\) \(1.4\) \(2.1\) \(2.8\)
  2. log scale
  3. Each time we multiply \(x\) by 5, the log of \(x\) increases by 0.7, because \(\log {(5)} = 0.7\text{.}\) This is an application of the log properties:
    \begin{equation*} \log {(5x)} = \log {(x)} + \log {(5)} = \log {(x)} + 0.7 \end{equation*}
Checkpoint A.10.13.
  1. Complete the table. Round the values to one decimal place.
    \(x\) \(~5~\) \(~10~\) \(~20~\) \(~40~\) \(~80~\)
    \(\log {(x)}\) \(\) \(\) \(\) \(\) \(\)
  2. Plot the values of \(x\) on a log scale.
    log scale
  3. Each time we multiply \(x\) by 2, how much does the logarithm increase? What is \(\log {(2)}\text{,}\) to one decimal place?
Answer.
  1. \(x\) \(~5~\) \(~10~\) \(~20~\) \(~40~\) \(~80~\)
    \(\log {(x)}\) \(0.7\) \(1\) \(1.3\) \(1.6\) \(1.9\)
  2. log scale
  3. \(\displaystyle 0.3;~0.3\)
Checkpoint A.10.14.
  1. Complete the table. Round the values to one decimal place.
    \(x\) \(0.25\) \(~1~\) \(~4~\) \(~16~\) \(~64~\) \(256\)
    \(\log {(x)}\) \(\) \(\) \(\) \(\) \(\) \(\)
  2. Plot the values of \(x\) on a log scale.
    log scale
  3. Each time we multiply \(x\) by 4, how much does the logarithm increase? What is \(\log {(4)}\text{,}\) to one decimal place?
Answer.
  1. \(x\) \(0.25\) \(~1~\) \(~4~\) \(~16~\) \(~64~\) \(256\)
    \(\log {(x)}\) \(-0.6\) \(0\) \(0.6\) \(1.2\) \(1.8\) \(2.4\)
  2. log scale
  3. \(\displaystyle 0.6;~0.6\)

Subsubsection A.10.2.2 Compare quantities

There is often more than one way to express a comparison with mathematical notation.
Example A.10.15.
When we say that "\(A\) is 3 times larger than \(B\text{,}\)" we mean that \(A=3B\text{.}\)
Example A.10.16.
When we say that "\(A\) is 3 more than \(B\text{,}\)" we mean that \(A=B+3\text{.}\)
Use these equations for the following Checkpoints.
  1. \(\displaystyle x=5H\)
  2. \(\displaystyle x=\dfrac{5}{H}\)
  3. \(\displaystyle x=5+H\)
  4. \(\displaystyle H=x+5\)
  5. \(\displaystyle H=5x\)
  6. \(\displaystyle H=\dfrac{5}{x}\)
  7. \(\displaystyle x-H=5\)
  8. \(\displaystyle H-x=5\)
  9. \(\displaystyle \dfrac{x}{H}=5\)
  10. \(\displaystyle \dfrac{H}{x}=5\)
  11. \(\displaystyle \dfrac{\log x}{\log H} = 5\)
  12. \(\displaystyle \log x - \log H =\log 5\)
  13. \(\displaystyle \log x + \log 5 = \log H\)
Checkpoint A.10.17.
From the list above, match all the correct algebraic expressions to the phrase "\(x\) is 5 times as large as \(H\text{.}\)"
Answer.
(a), (i), (l)
Checkpoint A.10.18.
From the list above, match all the correct algebraic expressions to the phrase "\(x\) is 5 more than \(H\text{.}\)"
Answer.
(c), (g)

Subsection A.10.3 The Natural Base

Subsubsection A.10.3.1 Graphs of \(y=e^x\) and \(y=\ln {(x)}\)

The graphs of the natural exponential function and the natural log function have some special properties.
Checkpoint A.10.19.
Use technology to graph \(~f(x)=e^x~\) and \(~y=x+1~\) in a window with \(~-2 \le {(x)} \le 3~\) and \(~-1 \le y \le 4~\text{.}\) What do you notice about the two graphs?
Answer.
graph
The line is tangent to the graph at \((0,1)\text{.}\)
Checkpoint A.10.20.
Use technology to graph \(~f(x)=\ln x~\) and \(~y=x-1~\) in a window with \(~-1 \le {(x)} \le 4~\) and \(~-2 \le y \le 3~\text{.}\) What do you notice about the two graphs?
Answer.
graph
The line is tangent to the graph at \((1,0)\text{.}\)

Subsubsection A.10.3.2 Using growth and decay laws with base \(e\)

We can write exponential growth and decay laws using base \(e\text{.}\)
Exponential Growth and Decay.
The function
\begin{equation*} P(t) = P_0 e^{kt} \end{equation*}
describes exponential growth if \(k \gt 0\text{,}\) and exponential decay if \(k \lt 0\text{.}\)
Example A.10.21.
A colony of bees grows at a rate of 8% annually. Write its growth law using base \(e\text{.}\)
Solution.
The growth factor is \(~b = 1+r = 1.08~\text{,}\) so the growth law can be written as
\begin{equation*} P(t) = P_0 (1.08)^t \end{equation*}
Using base \(e\text{,}\) we write \(~P(t) = P_0 e^{kt},~\) where \(e^k = 1.08.\) (You can see this by evaluating each growth law at \(t=1\text{.}\)) So we solve for \(k\text{.}\)
\begin{align*} e^k \amp = 1.08 \amp \amp \blert{\text{Take the natural log of both sides.}}\\ \ln (e^k) \amp = \ln (1.08) \amp \amp \blert{\text{Simplify both sides.}}\\ k \amp = 0.0770 \end{align*}
The growth law is \(~P(t) = P_0 e^{0.077t}\text{.}\)
Example A.10.22.
A radioactive isotope decays according to the formula \(~N(t)=N_0 e^{-0.016t},~\) where \(t\) is in hours. Find its percent rate of decay.
Solution.
First we write the decay law in the form \(~N(t)=N_0 b^t,~\) where \(~b=e^k.~\)
In this case, \(~k=-0.016,~\) so \(~b=e^{-0.016} = 0.9841.~\) Now, \(~b=1-r,~\) and solving for \(r\) we find \(~r=-0.0159.~\) The rate of decay is approximately 16% per hour.
Checkpoint A.10.23.
A virus spreads in the population at a rate of 19.5% daily. Write its growth law using base \(e\text{.}\)
Answer.
\(P(t) = P_0 e^{0.178t}\)
Checkpoint A.10.24.
Sea ice is decreasing at a rate of 12.85% per decade. Write its decay law using base \(e\text{.}\)
Answer.
\(Q(t) = Q_0 e^{-0.1375t}\)
Checkpoint A.10.25.
In 2020, the world population was growing according to the formula \(~P(t)=P_0 e^{0.0488t},~\) where \(t\) is in years. Find its percent rate of growth.
Answer.
5%
Checkpoint A.10.26.
Since 1984, the population of cod has decreased annually according to the formula \(~N(t)=N_0 e^{-0.1863t}.~\) Find its percent rate of decay.
Answer.
17%
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