Whether we like it or not, we need to revisit exponents and then start talking about logs, which will help us solve exponential and logarithmic equations. These types of equations are used in everyday life in the fields of Banking, Science, and Engineering, and Geology and many more fields.
Note that we learned about the properties of exponents here in the Exponents and Radicals in Algebra section, and did some solving with exponents here. Factoring with Exponents and Solving Exponential Equations after Factoring can be found in the Advanced Factoring section here. And when we study Geometric Sequences, we’ll see that they are a discrete form of an exponential function.
Introduction to Exponential Functions
Again, exponential functions are very useful in life, especially in business and science. If you’ve ever earned interest in the bank (or even if you haven’t), you’ve probably heard of “compounding”, “appreciation”, or “depreciation”; these have to do with exponential functions. When exponential functions are involved, functions are increasing or decreasing very quickly (multiplied by a fixed number each time period). That’s why it’s really good to start saving your money early in life and let it grow with time.
I like to think that exponential functions are named that because of the “\(x\)” in their exponents; they are written as \(y=a{{b}^{x}},\,\,b>0\). “\(b\)” is called the base of the exponential function, since it’s the number that is multiplied by itself “\(x\)” times (and it’s not an exponential function when \(b=1\)). \(b\) is also called the “growth” or “decay” factor. When \(b>1\), we have exponential growth (the function is getting larger), and when \(0<b<1\), we have exponential decay (the function is getting smaller). This makes sense, since when you multiply a fraction (less than 1) many times by itself, it gets smaller, since the denominator gets larger.
Parent Graphs of Exponential Functions
Here are some examples of parent exponential graphs. I always remember that the “reference point” (or “anchor point”) of an exponential function (before any shifting of the graph) is \((0,1)\) (since the “\(e\)” in “exp” looks round like a “0”). (Soon we’ll learn that the “reference point” of a log function is \((1,0)\), since this looks like the “lo” in “log”). If the exponential function shifts right or left, or up and down, this “anchor point” will move. An exponential that isn’t shifted up or down has an asymptote of \(y=0\), meaning the graph gets closer and closer to the \(x\)axis without ever touching it.
When the base is greater than 1 (a growth), the graph increases, and when the base is less than 1 (a decay), the graph decreases. The domain and range are the same for both parent functions, and both graphs have an asymptote of \(y=0\).
Remember from Parent Graphs and Transformations that the critical or significant points of the parent exponential function \(y={{b}^{x}}\) are \(\displaystyle \left( {1,\,\frac{1}{b}} \right),\left( {0,1} \right),\left( {1,b} \right)\).
“Parent” Exponential Graphs 

Domain: \(\left( {\infty ,\infty } \right)\); Range: \(\left( {0,\infty } \right)\) End Behavior: \(\left\{ \begin{array}{l}x\to \infty ,\,\,y\to 0\\x\to \infty ,\,\,\,\,\,\,y\to \infty \end{array} \right.\) 
Domain: \(\left( {\infty ,\infty } \right)\); Range: \(\left( {0,\infty } \right)\) End Behavior: \(\left\{ \begin{array}{l}x\to \infty ,\,\,y\to \infty \\x\to \infty ,\,\,\,\,\,y\to 0\end{array} \right.\) 
Transformations of Exponential Functions
Remember again the generic equation for a transformation with vertical stretch \(a\), horizontal shift \(h\), and vertical shift \(k\) is \(f\left( x \right)=a{{b}^{{xh}}}+k\) (\(y=a{{b}^{{xh}}}+k\)) for exponential functions.
Remember these rules:
When functions are transformed on the outside of the \(f(x)\) part, you move the function up and down and do “regular” math, as we’ll see in the examples below. These are vertical transformations or translations.
When transformations are made on the inside of the \(f(x)\) part, you move the function back and forth (but do the opposite math – basically since if you were to isolate the \(x\), you’d move everything to the other side). These are horizontal transformations or translations.
When there is a negative sign outside the parentheses, the function is reflected (flipped) across the \(x\)axis; when there is a negative sign inside the parentheses, the function is reflected across the \(y\)axis.
For exponential functions, get the new asymptote by setting \(y=\) the vertical shift. The domain is always \(\left( {\infty ,\infty } \right)\), and the range changes with the vertical shift.
Here are some examples, using tcharts, as we saw in the Parent Graphs and Transformations section:
Transformation 
Tchart 
Graph 

\(y={{2}^{{x4}}}+3\)
Parent function: \(y={{2}^{x}}\)
For exponential functions, use –1, 0, and 1 for the \(x\) values of the parent function. To get new asymptote, set \(y=\) to the vertical shift. 
Asymptote: \(y=3\) Domain: \(\left( {\infty ,\infty } \right)\) Range: \(\left( {3,\infty } \right)\) Translate 4 units right, 3 units up. 

\(y=2{{e}^{{x+1}}}+2\)
Parent function: \(y={{e}^{x}}\)
Remember that \(e\approx 2.7\). Since the coefficient is negative, the graph is reflected (flipped) across the \(x\)axis. 
Asymptote: \(y=2\) Domain: \(\left( {\infty ,\infty } \right)\) Range: \(\left( {\infty ,2} \right)\) Vertical stretch by a factor of 2, reflect over the \(x\)axis, translate 1 unit left, 2 units up. 
Writing Exponential Equations from Points and Graphs
You may be asked to write exponential equations, such as the following:

 Write an equation to describe the exponential function in form \(y=a{{b}^{x}}\), with a given base and a given point.
 Write an exponential function in form \(y=a{{b}^{x}}\) whose graph passes through two given points. (You may be able to do this using Exponential Regression.)
 For a certain graph, write the appropriate exponential function of the form \(y=a{{b}^{x}}+k\), given an asymptote.
 For a certain graph, write the appropriate exponential function of the form \(y=a{{b}^{{xh}}}+k\), given a certain base and asymptote.
Exponential Transformation Problem  Solution 
Write an equation to describe the exponential function in form \(y=a{{b}^{x}}\), with base 3 and passing through the point \(\left( {4,162} \right)\).  The equation will be in the form \(y=a{{\left( 3 \right)}^{x}}\), since the base is 3. Plug in 4 for x and 162 for \(y\), and solve for \(a\):
\(\begin{align}y&=a{{\left( 3 \right)}^{x}}\\162&=a{{\left( 3 \right)}^{4}}\\a&=\frac{{162}}{{81}}=2\end{align}\) The equation is \(y=2{{\left( 3 \right)}^{x}}\). 
Write an exponential function in form \(y=a{{b}^{x}}\) whose graph passes through the two points \(\left( {3,10} \right)\) and \(\left( {5,40} \right)\).  By plugging in the given points, the two equations we’ll have are \(10=a{{\left( b \right)}^{3}}\) and \(40=a{{\left( b \right)}^{5}}\). We need to find \(a\) and \(b\); this is a system of equations.
The trick is to solve the first equation for \({{b}^{3}}\), and then substitute this in the second equation by factoring the \({{b}^{5}}\) to make \({{b}^{3}}\cdot {{b}^{2}}\). We could have also just solved for \(b\), but this way is easier: \(\require{cancel} \begin{array}{l}10=a{{b}^{3}};\,\,\,\,\,{{b}^{3}}=\frac{{10}}{a}\\40=a{{b}^{5}};\,\,\,\,40=a{{b}^{3}}{{b}^{2}}\\40=\cancel{a}\left( {\frac{{10}}{{\cancel{a}}}} \right){{b}^{2}};\,\,\,\,\,{{b}^{2}}=\frac{{40}}{{10}}=4\\b=2\,\,\,\,\text{(base can }\!\!’\!\!\text{ t be negative)}\end{array}\) \(\begin{array}{c}\text{Plug }b\text{ in either equation for }a:\\10=a{{\left( 2 \right)}^{3}}\\a=\frac{{10}}{8}=\frac{5}{4}\end{array}\) (Note that we could have gotten \(b\) by dividing the two equations: \(\displaystyle \,\frac{{40}}{{10}}=\frac{{a{{b}^{5}}}}{{a{{b}^{3}}}};\,\,{{b}^{2}}=4;\,\,b=2\).) The exponential function is: \(\displaystyle y=\frac{5}{4}{{\left( 2 \right)}^{x}}\). Check your points; they work! √
Alternative Way: We could also approach this problem like we do here in the Sequences and Series section and treat this exponential model as a geometric series.
To get the common ratio (the base of the exponential equation), we can subtract the \(x\)’s, and then take this root of the quotient of the \(y\)’s. The base is then is \(\displaystyle \sqrt[{53}]{{\frac{{40}}{{10}}}}=\sqrt{4}=2\). Now we have \(y=a{{\left( 2 \right)}^{x}}\); plug in either point; for example, \(\displaystyle 10=a{{\left( 2 \right)}^{3}};\,\,a=\frac{5}{4}\). The exponential function is: \(\displaystyle y=\frac{5}{4}{{\left( 2 \right)}^{x}}\). 
Find the equation of this graph with a base of .5 and horizontal shift of \(1\):

We see that this exponential graph has a horizontal asymptote at \(y=3\), and with the horizontal shift, we have \(y=a{{\left( {.5} \right)}^{{x+1}}}3\) so far.
When you have a problem like this, first use any point that has a “0” in it if you can; it will be easiest to solve the system. Solve for \(a\) first using point \(\left( {0,1} \right)\):
\(\begin{array}{c}y=a{{\left( {.5} \right)}^{{x+1}}}3;\,\,\,1=a{{\left( {.5} \right)}^{{0+1}}}3;\,\,\,\,2=.5a;\,\,\,\,a=4\\y=4{{\left( {.5} \right)}^{{x+1}}}3\end{array}\) 
For the following graph, write the appropriate exponential function in the form \(y=a{{b}^{x}}+k\) (vertically shifted exponential function):

We see that this exponential graph has an asymptote at \(y=3\), so it will have a vertical shift of –3, or \(k=3\). Our equation will be in the form \(y=a{{b}^{x}}3\).
We need to use a system of equations with the two points on the graph: \(\left( {0,1} \right)\) and \(\left( {1,1} \right)\). When you have a problem like this, first use any point that has a “0” in it if you can; it will be easiest to solve the system.
Solve for \(a\) first using \(\left( {0,1} \right)\): \(\begin{array}{c}1=a{{b}^{0}}3;\,\,\,\,\,a\left( 1 \right)=1+3;\,\,\,\,a=4\\y=4{{b}^{x}}3\end{array}\) Use this equation and plug in \(\left( {1,1} \right)\) to solve for \(b\): \(1=4{{b}^{1}}3;\,\,\,\,\,4b=2;\,\,\,\,\,\,b=.5\) The exponential function is \(y=4{{\left( {.5} \right)}^{x}}3\). Graph this function and it works! √
Easier way to do this: The distance between the horizontal asymptote and the \(y\)intercept is 4, so we have a vertical stretch of 4. Thus, \(a=4\) (We can only do this when there’s no horizontal shift). Since the graph has a vertical shift of –3, we have \(y=4{{b}^{x}}3\) so far. Plug in the other point \(\left( {1,1} \right)\) to get \(b\): \(\begin{array}{c}1=4{{b}^{1}}3;\,\,\,\,\,2=4b;\,\,\,\,\,b=.5\\y=4{{\left( {.5} \right)}^{x}}3\end{array}\)

Exponential Function Applications and Word Problems
Here are some compounding formulas that you’ll use in working with exponential applications, such as in appreciation (growth) and depreciation (decay). The second set of formulas are based on the first, but are a little bit more specific, since the interest is compounded multiply times during the year:
Rate Compounded Annually 
Rate Compounded Multiple Times Per Year 

Exponential Growth \(A=P{{\left( {1+r} \right)}^{t}}\) 
Exponential Decay \(A=P{{\left( {1r} \right)}^{t}}\) 
Exponential Growth \(\displaystyle A=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\) 
Exponential Decay \(\displaystyle A=P{{\left( {1\frac{r}{n}} \right)}^{{nt}}}\) 

\(A=\) ending amount \(P=\) principle, or starting amount \(r=\) growth rate (turn % to decimal) – per year (“interest rate”) \(t=\) number of years that have passed (if applicable) \(n=\) number of times the interest is compounded per year; for example:

Note that the growth (or decay) rate is typically a percentage, but when it’s in the formula, it’s a decimal. The growth (or decay) factor is the actual factor after the rate is converted into a decimal and added or subtracted from 1 (they may ask you for the growth factor occasionally). When an amount triples, for example, we start with the original and add 200% to it, so the growth rate is 200% (in the formula, it’s 2.00, which will be added to the 1), but growth factor is 3 (1 + 2). Here are some examples:
Wording in Problem  Rate  Type 
Factor 
Appreciates at 5%  .05 or 5%  Growth  \(1+.05=1.05\) 
Depreciates at 10%  .10 or 10%  Decay  \(1.10=.90\) 
Doubles  1 or 100%  Growth  \(1+1=2\) 
Triples  2 or 200%  Growth  \(1+2=3\) 
Halves, or Halflife 
.5 or 50% 
Decay 
\(1.50=.50\) 
Continuous Compounding
One thing that the early mathematicians found is that when the number of times the compounding takes place (“\(n\)” above) gets larger and larger, the expression \(\displaystyle A={{\left( 1+\frac{1}{n} \right)}^{n}}\) gets closer and closer to a mysterious irrational number called “\(e\)” (called “Euler’s number), and this number is about 2.718. (Think of this number sort of like “pi” – these numbers are “found in nature”.) You can find \({{e}^{x}}\) on your graphing calculator using “2^{nd} ln“, or if you just want “\(e\)“, you can use “2^{nd} ÷”.
So, if we could hypothetically compound interest every instant (which is theoretically impossible), we could just use “\(e\)” instead of \(\displaystyle {{\left( 1+\frac{1}{n} \right)}^{n}}\). This would be the highest amount of interest someone could earn at that interest rate, if it were possible to compound continuously.
Now we have two major formulas we can use. You’ll probably have to memorize these, but you’ll use them enough that it’s not that bad:
Rate Compounded Annually (\(n=1\)), or Multiple Times per Year 
Rate Compounded Continuously Growth: \(r>0\); Decay: \(r<0\) 
Growth: \(\displaystyle A=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\); Decay: \(\displaystyle A=P{{\left( {1\frac{r}{n}} \right)}^{{nt}}}\) 
\(\displaystyle A=P{{e}^{{rt}}}\) 
\(A=\) ending amount \(P=\) principle, or starting amount \(r=\) growth rate (turn % to decimal) – per year (“interest rate”) \(t=\) number of years that have passed (if applicable) \(n=\) number of times the interest is compounded per year 
I remember the \(A=P{{e}^{rt}}\) formula by thinking of the shampoo “Pert”, and you can think of continuously washing your hair, using Pert. Thus, you use the Pert formula with continuous compounding.
Note: Sometimes you’ll see a problem that calls for simple interest, which is linear and not exponential. This equation for simple interest is \(I=Prt\), where \(P=\) principal, or starting amount, \(r=\) annual interest rate, and \(t=\) number of years. To get the full amount in an account after the \(t\) years, the equation is \(A=P+Prt\), or \(A=P\left( {1+rt} \right)\). There is a simple example here of using simple interest.
Here are some problems using compound interest formulas. Note that if we need to solve for a variable in an exponent, such as \(t\), we’ll need to use logs, as in in the problems here.
Exponential Word Problem 
Solution 
You decide to buy a used car that costs $10,000. You’ve heard that the car may depreciate at a rate of 10% per year.
At that rate, what will the car be worth in 5 years? 
Since the interest rate is compounded yearly, we can use the formula \(A=P{{\left( {1r} \right)}^{t}}\) for exponential decay. The principle or starting amount, \(P\), is 10000. The rate \(r\) is .10, and the time \(t\) (in years) is 5.
\(\begin{align}A&=P{{\left( {1r} \right)}^{t}}\\A&=10000{{\left( {1.1} \right)}^{5}}\\&=\$5904.90\end{align}\) The car will be worth $5904.90 in 5 years. It makes sense that it will be less, since we’re dealing with exponential decay. 
The initial value of your car is $20,000. After 1 year, the value is $15,000.
(a) What is the percent decrease? (b) Find the value of the car at this same rate after 5 years from the initial value. 
(a) The percent decrease is \(\frac{{\text{Old Price }\text{ New Price}}}{{\text{Old Price}}}\times 100\), or \(\frac{{2000015000}}{{20000}}=.25=25\%\).
We could have also solved this by using our \(A=P{{\left( {1r} \right)}^{t}}\) formula, since we want the value after 1 year (\(t=1\)): \(\begin{align}A&=P{{\left( {1r} \right)}^{t}}\\15000&=20000{{\left( {1r} \right)}^{1}}\\\frac{{15000}}{{20000}}&=1r\\r&=.25=25\%\end{align}\) (b) Again, since the interest rate is compounded yearly, we can use the formula \(A=P{{\left( {1r} \right)}^{t}}\) for exponential decay. The principle or starting amount, \(P\), is 20000. The rate \(r\) is .25 from above, and the time \(t\) (in years) is 5: \(\begin{align}A&=P{{\left( {1r} \right)}^{t}}\\A&=20000{{\left( {1.25} \right)}^{5}}\\&=\$4746.09\end{align}\) The car will be worth $4746.09 in 5 years. It makes sense that it will be less, since we’re dealing with exponential decay. 
Megan has $20,000 to invest for 5 years and she found an interest rate of 5%. How much money will she have at the end of 5 years if:
(a) the interest rate compounds monthly? (b) the interest rates compounds semiannually? 
Since the interest rate compounds at different intervals during the year, we need to use formula \(\displaystyle A=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\) for growth. The starting amount, or \(P\), is 20000. The rate \(r\) is .05, the time interval \(t\) (in years) is 5.
For part (a), the number of times the interest compounds per year (\(n\)) is 12, since it compounds monthly: \(\displaystyle \begin{align}A&=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\\\,A&=20000{{\left( {1+\frac{{.05}}{{12}}} \right)}^{{\left( {5\times 12} \right)}}}\\&=\$25667.17\end{align}\) Megan will have $25,667.17 at the end of 5 years, if the rate compounds monthly. For (b), everything stays the same, but the number of times the interest compounds per year is 2, since it compounds semiannually (twice per year): \(\displaystyle \begin{align}A&=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\\A&=20000{{\left( {1+\frac{{.05}}{2}} \right)}^{{\left( {5\times 2} \right)}}}\\&=\$25601.69\end{align}\) Megan will have $25,601.69 at the end of 5 years, if the rate compounds semiannually. 
Madison really wants to buy a car in 4 years and she wants to start saving for a down payment.
If she deposits $3500 now with interest compounding continuously at 3%, what down payment will she have for her car? 
We’ll use the “shampoo” formula – PERT – since the interest is compounding continuously. (Remember, you continuously wash your hair!)
Since we need to figure out how much Madison will have in 4 years, we are looking for \(A\). Since she has 3500 now, the starting value or \(P\) is 3500. She has 4 years to save, so \(t\) is 4, and since the interest rate is 3%, \(r\) is .03: \(\begin{align}A&=P{{e}^{{rt}}}\\A&=3500{{e}^{{(.03)(4)}}}\\A&=3946.24\end{align}\) Madison will have $3946.24 as a down payment for her new car. 
More Growth/Decay Equations
There are two more exponential equations that are a little more specific:
 \(\displaystyle y=a{{b}^{{\frac{t}{p}}}},\,\,\,\,b>0\), where \(a=\) the initial amount, \(b=\) the growth/decay factor, \(t=\) the time that has passed, \(p=\) the period for the growth or decay factor (the interval in which the growth/decay happens), and \(y=\) the amount after the time that has passed.
For example, if a mice population triples every 4 years (the growth interval), the population starts with 20 mice, and the problem asks how many mice will there be in 12 years, the formula is \(\displaystyle y=20{{\left( 3 \right)}^{{\frac{{12}}{4}}}}=540\) mice. (The \(\displaystyle \frac{t}{p}\) (3) makes sense, since if the population triples every 4 years, the mice population would triple 3 times in 12 years!)
Halflife problems are common in science, and, using this formula, \(b\) is \(\displaystyle \frac{1}{2}\) or .5, and \(p\) is the number of years that it takes for something to halve (divide by 2). (Note that you can also solve halflife problems using the next formula). We’ll explore these halflife problems below here below, and in the Logarithmic Functions section here.
 \(\displaystyle N\left( t \right)={{N}_{0}}{{e}^{{kt}}}\), which is called uninhibited growth, or continuous growth. In this formula, \({{N}_{0}}=\) the initial amount, \(k=\) the growth rate (or decay rate, if \(k<0\)), \(t=\) the time that has passed, and \(N\left( t \right)\) is the amount after the specified time period.
Notice that this is the same formula as the continuous growth equation \(A=P{{e}^{rt}}\) above, just in a different format. Notice also that in this formula, the decay is when \(k<0\). This is because we are raising \(e\) to the \(k\), and when an exponent is negative, it’s the same as 1 over that base with a positive exponent. Thus, when the “multiplier” is less than 1, the amount is decreasing, and we have a decay. Makes sense!
(We’ll see later that we typically have to solve for \(k\) first, using logarithms. For example, for halflife problems, we need to solve for \(k\) when \({{N}_{0}=2}\) and \(N\left( t \right)=1\); \(k\) will be negative in this case).
Here are all the exponential formulas we’ve learned:
Rate Compounded Annually (\(n=1\)), or Multiple Times per Year 
Rate Compounded Continuously 
General Exponential Equation 
Uninhibited Growth Equation 
Growth: \(\displaystyle A=P{{\left( {1+\frac{r}{n}} \right)}^{{nt}}}\) Decay: \(\displaystyle A=P{{\left( {1\frac{r}{n}} \right)}^{{nt}}}\) 
\(A=P{{e}^{{rt}}}\) Growth: \(r>0\) Decay: \(r<0\) 
\(\displaystyle y=a{{b}^{{\frac{t}{p}}}}\) Growth: \(b>0\) Decay: \(b<0\) 
\(\displaystyle N\left( t \right)={{N}_{0}}{{e}^{{kt}}}\) Growth: \(k>0\) Decay: \(k<0\) 
\(A=\) ending amount \(P=\) principle, or starting amount \(r=\) growth/decay rate (turn % to decimal) – per year \(t=\) number of years that have passed (if applicable) \(n=\) number of times the interest is compounded per year \(e=\) base (around 2.718) 
\(y=\) ending amount \(a=\) starting amount \(b=\) growth/decay factor per time period \(t=\) time that has passed \(p=\) growth or decay period (interval) 
\(\displaystyle N\left( t \right)=\) ending amount \(\displaystyle {{N}_{0}}=\) starting amount \(e=\) base (around 2.718) \(k=\) growth/decay rate \(t=\) the time that has passed 
Remember when we put an exponent in the Graphing Calculator, we just use the “^” key!
Here are more exponential word problems. we’ll see more of these types of problems in the Logarithmic Functions section:
Population Exponential Problem 
Math 
Notes 
A culture of bacteria triples every 8 hours.
(a) If there are 100 bacteria now, how many will there be after 18 hours?
(b) Find the bacteria population 2 hours earlier. 
\(\begin{array}{c}y=a{{b}^{{\frac{t}{p}}}}\\\\y=100{{\left( 3 \right)}^{{\frac{{18}}{8}}}}\\y=1184\,\,\text{bacteria}\end{array}\)  (a) For this problem, we can use the exponential equation \(\displaystyle y=a{{b}^{{\frac{t}{p}}}}\), since we have a time period for which the bacteria triples.
We know the growth factor is 3, since the bacteria triples. Since the bacteria triples every 8 hours, but we want to know how much of it there will be after 18 hours, our time is actually \(\displaystyle \frac{{18}}{8}\) or \(\displaystyle \frac{{\text{time we are interested in}}}{{\text{time bacteria triples}}}\). Since we start with 100 grams, \(a=100\).
Using the formula, we get \(y=1184\) bacteria. (We need to round down since we can’t have part of a bacterium.) This makes sense since the bacteria starts with 100 and triples about \(2\frac{1}{4}\) times. √ 
Solution 1: \(\begin{array}{l}y=100{{\left( 3 \right)}^{{\frac{{2}}{8}}}}\\y=76\,\,\text{bacteria}\end{array}\)
Solution 2: \(\begin{array}{c}100=a{{\left( 3 \right)}^{{\frac{2}{8}}}}\\a=76\,\,\text{bacteria}\end{array}\) 
(b) Using the same formula, we can use –2 for the time, since we want the number of bacteria 2 hours earlier. We get 76 bacteria, which makes sense, since there would be less than 100. (Round up since we are going backwards.)
We could have also set up the formula the second way, since we want to find out the number of bacteria starting out, when we end up with 100 bacteria 2 hours later. 
As an example of how we can also do these types of problems using logarithms, we could also use the uninhibited growth formula:
Exponential Problem  Math  Notes 
A culture of bacteria triples every 8 hours.
If there are 100 bacteria now, how many will there be after 18 hours? 
\(\displaystyle \begin{align}N\left( t \right)&={{N}_{0}}{{e}^{{kt}}}\\3&=1{{e}^{{k(8)}}}\\\\\ln \left( 3 \right)&=\cancel{{\ln }}\left( {{{{\cancel{e}}}^{{k(8)}}}} \right)\\8k&=\ln \left( 3 \right)\\k&=\frac{{\ln \left( 3 \right)}}{8}\approx .1373265361\\\\N(t)&=100{{e}^{{.1373265361t}}}\\N(18)&=100{{e}^{{.1373265361\left( {18} \right)}}}\\&=1184\text{ bacteria}\end{align}\)  Solve for \(k\) first in the exponential equation \(\displaystyle N\left( t \right)={{N}_{0}}{{e}^{{kt}}}\) when the beginning amount is three times the ending amount, and \(t\) is the time. (It’s a good idea to store \(k\) in our calculator.)
The exponential growth equation for that situation is \(\displaystyle N(t)=100{{e}^{{.1373265361t}}}\).
To get the amount after 18 hours, plug in 18 for \(t\). We get the same answer as above! 
HalfLife Problems:
Halflife problems deal with exponential decays that halve for every time period. For example, if we start out with 20 grams, after the next time period, we’d have 10, then 5, and so on. For these problems, the base (decay factor) of the exponential equation is .5.
For halflife problems, .5 base is raised to \(\displaystyle \frac{{\text{time period we want}}}{{\text{time for one halflife}}}\), since this is the number of times the substance actually halves.
Here is our first example; note that we solve this same problem with logs here in the Logarithmic Functions section.
HalfLife Problem 
Math 
Notes 
If a chemist has 40 grams of a substance that has a halflife of 6 hours, how much will there be after 18 hours?  \(\begin{array}{c}y=a{{b}^{{\frac{t}{p}}}}\\y=40{{\left( {.5} \right)}^{{\frac{{18}}{6}}}}\\y=5\,\,\text{grams}\end{array}\)  Use the exponential equation \(\displaystyle y=a{{b}^{{\frac{t}{p}}}}\), since we have a time period for which the substance divides in two.
Since we’re dealing with a halflife problem, we know the decay factor is .5, since it halves every 6 hours (the decay interval, or time of a halflife). Since the halflife is 6, but we want to know how much of the substance there will be after 18 hours, our “time” is actually \(\displaystyle \frac{{18}}{6}\) or \(\displaystyle \frac{{\text{time we are interested in}}}{{\text{time of a halflife}}}\), which is 3. Since we start with 40 grams, \(a=40\). Using the formula, we get \(y=\) 5 grams. 5 grams makes sense since in 6 hours, there will be 20 grams (half of 40), in 12 hours, there will be 10 grams (half of that), and in 18 hours, there will be 5 grams (half of that). √ 
Here’s one more exponential problem where we’ll see how important logs will be to solve these types of problems:
Suppose that a graduating class had 500 students graduating the first year, but after that, the number of students graduating declines by a certain percentage. (a) If the number of students graduating will be 400 in 2 years, what is the decay rate? (b) Using this same decay rate, in about how many years will there be less than 300 students? 

Math 
Notes 

(a) \(\require{cancel} \displaystyle \begin{align}A&=P{{\left( {1r} \right)}^{t}}\\400&=500{{\left( {1r} \right)}^{2}}\\\left( {\frac{{400}}{{500}}} \right)&={{\left( {1r} \right)}^{2}}\\{{\left( {\frac{{400}}{{500}}} \right)}^{{\frac{1}{2}}}}&={{\left( {{{{\left( {1r} \right)}}^{{\cancel{2}}}}} \right)}^{{\cancel{{\frac{1}{2}}}}}}\,\\{{\left( {\frac{{400}}{{500}}} \right)}^{{\frac{1}{2}}}}&=1r\\r&=1\,{{\left( {\frac{{400}}{{500}}} \right)}^{{\frac{1}{2}}}}\approx .106\end{align}\)  (a) Use the exponential decay formula, where \(P\) (starting number) is 500, \(A\) (ending number) is 400, and \(t\) (number of years) is 2. This type of problem is a little different, since we have to work “backwards” to get the rate.
Raise both sides of the equation to the reciprocal of the exponent (exponent is 2, reciprocal is \(\displaystyle \frac{1}{2}\)) to get the variable \(r\) out from within the exponential term.
Solve for \(r\) and get about .106 or about 10.6%. 

(b) \(\begin{align}A&=P{{\left( {1r} \right)}^{t}}\\300&=500{{\left( {1.106} \right)}^{t}}\end{align}\)
Help! How do we solve for \(t\)?
We don’t know how yet – we need logs, which we’ll learn later.
(Note that we could solve this problem with a graphing calculator, for example, with \({{\text{Y}}_{1}}=300\) and \({{\text{Y}}_{2}}=500{{\left( {1.106} \right)}^{t}}\). Then use CALC (2 TRACE) 5 (intersect) to find the intersection, or use TABLE to see where \(x\) is when \(y=300\).) 
(b) Use the exponential decay formula, where \(P\) (starting number) is 500, the decay rate is .106, and we need to find \(t\) where \(A\) (ending number) is 300.
We’ll have to use “guess and check” to figure out what the \(t\) is, since we can’t really solve for it without using logarithms or logs. Try \(t=10\) first, which is too little, next, which is too large, and see if we can “zero in” on the correct value:
In about 4.6 years, there will be less than 300 students. See how difficult this is? Logs (which we’ll learn in the Logarithmic Functions section) will make it much easier: \(\begin{array}{c}300=500{{\left( {1.106} \right)}^{t}};\,\,\frac{{300}}{{500}}={{\left( {1.106} \right)}^{t}}\\\ln \left( {\frac{{300}}{{500}}} \right)=\ln {{\left( {1.106} \right)}^{t}};\,\,\ln \left( {\frac{{300}}{{500}}} \right)=t\ln \left( {1.106} \right)\\t=\frac{{\,\ln \left( {\frac{{300}}{{500}}} \right)}}{{\ln \left( {1.106} \right)}}\approx 4.556\end{array}\) 
Solving Exponential Functions by Matching Bases
In certain cases, we can solve an equation with a variable in the exponent by matching up the bases on each side, if we can. Remember that a base in an exponential equation is the number that has an exponent. This method of matching bases to solve an exponential equation is also called the “OnetoOne Property of Exponential Functions”.
As long as the bases are the same and we have just one base on each side of the equation, we can set the exponents equal to each other. This makes sense; if we had \({{2}^{x}}={{2}^{4}}\), we could see that \(x\) could only be 4, and nothing else. We can write this as the rule:
\({{b}^{x}}=\,\,\,{{b}^{y}}\,\,\,\,\,\,\,\,\,\,\,\,\Leftrightarrow \,\,\,\,\,\,\,\,\,\,\,\,x \,=\,\,\,y\)
Remember that when we multiply the same bases together with different exponents, we add the exponents. For example, \({{a}^{x}}\cdot {{a}^{y}}={{a}^{x+y}}\). Also remember that when we raise an exponent to another exponent, we multiply those exponents. For example, \({{\left( {{a}^{x}} \right)}^{y}}={{a}^{xy}}\). (Be careful, though, since technically \(\displaystyle {{a}^{{{{x}^{y}}}}}\) (without parentheses) is actually \(\displaystyle {{a}^{{\left( {{{x}^{y}}} \right)}}}\) – try examples on your calculator!)
The idea is to find the smallest positive integer base that can be used on both sides, and match up the bases by raising the bases to get the original numbers.
Let’s solve the following equations and check our answers back after getting them (sometimes we have to use a calculator):
Changing Base to Solve Exponential Equations 

\(\displaystyle {{4}^{{x3}}}=16\)
\(\displaystyle \begin{align}{{4}^{{x3}}}&={{4}^{2}}\\x3&=2\\x&=5\\\\\text{Check:}\\{{4}^{{53}}}&=16\\16&=16\end{align}\) 
\({{10}^{{3x+2}}}=.1\)
\(\begin{align}{{10}^{{3x+2}}}&={{10}^{{1}}}\\3x+2&=1\\x&=1\\\\\text{Check:}\\{{10}^{{3\left( {1} \right)+2}}}&=.1\\.1&=.1\end{align}\) 
\({{9}^{{2x}}}={{27}^{{x+4}}}\)
\(\begin{align}{{\left( {{{3}^{2}}} \right)}^{{2x}}}&={{\left( {{{3}^{3}}} \right)}^{{x+4}}}\\{{3}^{{4x}}}&={{3}^{{3\left( {x+4} \right)}}}\\{{3}^{{4x}}}&={{3}^{{3x+12}}}\\4x&=3x+12\\x&=12\\\\\text{Check:}\\{{9}^{{2\left( {12} \right)}}}&={{27}^{{12+4}}}\\7.97..\times {{10}^{{22}}}&=7.97..\times {{10}^{{22}}}\end{align}\) 
\(\displaystyle {{\left( {\frac{1}{4}} \right)}^{x}}={{8}^{{x1}}}\)
\(\displaystyle \begin{align}{{\left( {{{2}^{{2}}}} \right)}^{x}}&={{\left( {{{2}^{3}}} \right)}^{{x1}}}\\{{2}^{{2x}}}&={{2}^{{3x3}}}\\2x&=3x3\\x&=\frac{3}{5}\\\\\text{Check:}\\{{\left( {\frac{1}{4}} \right)}^{{\frac{3}{5}}}}&={{8}^{{\frac{3}{5}1}}}\\.435..&=.435..\end{align}\) 
\({{2}^{{4x}}}\cdot {{16}^{{x+3}}}={{4}^{{x1}}}\)
\(\begin{align}{{2}^{{4x}}}\cdot {{\left( {{{2}^{4}}} \right)}^{{x+3}}}&={{\left( {{{2}^{2}}} \right)}^{{x1}}}\\{{2}^{{4x}}}\cdot {{2}^{{4x+12}}}&={{2}^{{2x2}}}\\{{2}^{{4x+4x+12}}}&={{2}^{{2x2}}}\\8x+12&=2x2\\x&=\frac{7}{3}\\\\\text{Check:}\\{{2}^{{4\left( {\frac{7}{3}} \right)}}}\cdot {{16}^{{\frac{7}{3}+3}}}&={{4}^{{\frac{7}{3}1}}}\\.0098…&=.0098…\end{align}\) 
Unfortunately, we can’t get common bases on both sides for most exponential equations; we can always solve these using a graphing calculator, like this:
Solving Exponential Equations on a Graphing Calculator  Example 
Push Y = and enter the two equations in Y_{1} =_{ }and Y_{2} =, respectively.
Push GRAPH. You may need to hit “ZOOM 6” (ZStandard) and/or “ZOOM 0” (ZoomFit) to make sure you see the lines crossing in the graph (and you may also have to use “ZOOM 3” (Zoom Out) ENTER a few times to see the intersection). You can also use the WINDOW button to change the minimum and maximum values of your \(x\) and \(y\) values.
To get the point of intersection, push “2^{nd} TRACE” (CALC), and then either push 5, or move cursor down to intersect. You should see “First curve?” at the bottom. Then push ENTER, ENTER, ENTER. You’ll see the first point of intersection that it found is where \(x=5.160964\). 
(We will also see another common way to solve equations with variables in exponents – logarithms!)
Exponential Regression
We learned about regression here in the Scatter Plots, Correlation, and Regression section, but didn’t really address Exponential Regression.
Let’s find an exponential regression equation to model the following data set using the graphing calculator. (I’m using the TI84 Plus CE calculator.)
\(x\)  1  4  6  10  11  13 
20 
\(y\)  3  5  7.5  16  18  27 
96 
Note: Without using regression on the calculator, we could find an approximate model by averaging successive ratios. Then use the first “\(y\)” to get the “\(a\)”. This method isn’t as accurate as the calculator method below, but it’s a nice trick:
\(\displaystyle \begin{align}\frac{{\frac{5}{3}+\frac{{7.5}}{5}+\frac{{16}}{{7.5}}+\frac{{18}}{{16}}+\frac{{27}}{{18}}+\frac{{96}}{{27}}}}{6}&\approx 1.913\\y&\approx 3{{\left( {1.913} \right)}^{x}}\end{align}\)
As we did with linear and quadratic regressions, here’s how to enter the data and perform regression in the calculator:
We can do this same type of regression with natural logs (LnReg) when you learn about log functions.
Exponential Inequalities
You may have to solve inequality problems (either graphically or algebraically) with exponential functions. Remember that we learned about using the Sign Chart or Sign Pattern method for inequalities here in the Quadratic Inequalities section. We’ll do Logarithmic Inequalities here.
Let’s do an inequality problem:
Exponential Inequality  Notes/Graph 
\({{81}^{x}}+9\ge 10\cdot {{9}^{x}}\)
\(\begin{align}{{81}^{x}}10\cdot {{9}^{x}}+9&\ge 0\\{{\left( {{{9}^{2}}} \right)}^{x}}10\cdot {{9}^{x}}+9&\ge 0\\{{9}^{{2x}}}10\cdot {{9}^{x}}+9&\ge 0\\\left( {{{9}^{x}}9} \right)\left( {{{9}^{x}}1} \right)&\ge 0\\{{9}^{x}}9&=0;\,\,\,x=1\\{{9}^{x}}1&=0;\,\,\,x=0\end{align}\) 
Usually these types of problems will either be a linear or quadratic inequality. Since we have a quadratic inequality, we have to set everything to 0, try to factor (we can!) and use a sign chart, since we don’t know if the factors are positive or negative.
The boundary points, or critical values, are the roots (setting the factors to 0) of the quadratic, as if it were an equality. To get the signs, we plug in a sample number in each interval to see if \(\left( {{{9}^{x}}9} \right)\left( {{{9}^{x}}1} \right)\) is positive or negative. For example, we can use \(\displaystyle \frac{1}{2}\) for the interval between 0 and 1: \(\left( {{{9}^{{\tfrac{1}{2}}}}9} \right)\left( {{{9}^{{\tfrac{1}{2}}}}1} \right)=12<0\) The problem calls for \(\ge 0\), so we look for the plus sign(s), and our answers are inclusive (hard brackets). The answer is \(\left( {\infty ,0} \right]\cup \left[ {1,\infty } \right)\). Try finding the solutions on your graphing calculator; it works! 
Learn these rules, and practice, practice, practice!
For Practice: Use the Mathway widget below to try an Exponential Function problem. Click on Submit (the blue arrow to the right of the problem) to see the answer.
You can also type in your own problem, or click on the three dots in the upper right hand corner and click on “Examples” to drill down by topic.
If you click on Tap to view steps, or Click Here, you can register at Mathway for a free trial, and then upgrade to a paid subscription at any time (to get any type of math problem solved!).
On to Logarithmic Functions – you are ready!