In finance, often interest is added to the account every month. The next month, the amount of interest will be higher because it is calculated on both the initial amount and the interest from the previous month. The more often interest is added, the faster the account balance will grow.
The formula for compound interest is:
A=P\left(1+\frac{r}{n}\right)^{nt} ,
where A is the future value, P is the present value, r is the annual interest rate, n is the number of times interest is compounded, and t is the time in years.
Suppose we had a lender who wanted to collect as much interest as possible from their customer. They want to compound the interest every nanosecond of the year. There are 31556952000000430 nanoseconds in a year and that overwhelms most calculators. How could we otherwise calculate this? What number would you use for n?
Since the lender is being greedy, let's use an interest rate of 100\% per year for 1 year. This would make the multiplier of the present value \left(1+\frac{1}{n}\right)^{n}. What happens as the frequency of compounding increases?
In order to find out how to charge interest for every nanosecond of every day, let's start by looking for a pattern as the compounding period frequency increases.
1. Complete the table below to look for a pattern as the compounding period frequency increases
Compounding Period | Annual | Quarter | Month | Biweekly | Week | Day | Hour |
---|---|---|---|---|---|---|---|
n | 1 | 4 | 12 | 26 | 52 | 365 | 8760 |
\left(1+\frac{1}{n}\right)^{n} |
2. Create a hypothesis for what will happen to the value of \left(1+\frac{1}{n}\right)^{n} as the number compounding period increases from every year to every nanoseconds.
3. Confirm or refute your hypothesis using the GeoGebra animation below. Either click the "Start Animation" button or slide the blue slide through the different values of n.
The natural base $e$e (Euler’s number) is defined as $e=\lim_{n\to\infty}\left(1+\frac{1}{n}\right)^n$e=limn→∞(1+1n)n
The table shows the value of $\left(1+\frac{1}{n}\right)^n$(1+1n)n using various values of $n$n.
$n$n | $\left(1+\frac{1}{n}\right)^n$(1+1n)n |
---|---|
$1$1 | $2$2 |
$100$100 | $1.01^{100}=2.704813$1.01100=2.704813 ... |
$1000$1000 | $1.001^{1000}=2.716923$1.0011000=2.716923 ... |
$10000$10000 | $1.0001^{10000}=2.718145$1.000110000=2.718145 ... |
$100000$100000 | $1.00001^{100000}=2.718268$1.00001100000=2.718268 ... |
Evaluate $\left(1+\frac{1}{n}\right)^n$(1+1n)n for $n=1000000$n=1000000, correct to six decimal places.
Which of the following is the closest approximation of $e$e?
$2.718280821$2.718280821
$2.718281828$2.718281828
$2.718281820$2.718281820
$2.718281818$2.718281818
It is possible to compute $e^x$ex using the following formula.
$e^x=1+x+\frac{x^2}{2!}+\frac{x^3}{3!}+\frac{x^4}{4!}+\text{. . .}+\frac{x^n}{n!}+\text{. . .}$ex=1+x+x22!+x33!+x44!+. . .+xnn!+. . .
The more terms we use from the formula, the closer we get to the true value of $e^x$ex.
Use the first five terms of the formula to estimate the value of $e^{0.7}$e0.7.
Give your answer to six decimal places.
Use the $\editable{e^x}$ex key on your calculator to find the value of $e^{0.7}$e0.7.
Give your answer to six decimal places.
What is the difference between the two results?
Give your answer to six decimal places.