Calculating the Value of e
There are several ways to calculate the value of e. Let's look at the historical development.
Using a Binomial Expansion
If n is very large (approaches infinity) the value of `(1+1/n)^n`approaches e.
The largest that Scientific Notebook can handle is about n = 100,000 and this is only correct to the 4th decimal place.
`e~~[(1+1/n)^n]_(n=100000)=2.718268237`
Another Expansion
As n becomes very small, `(1+n)^(1//n)` approaches the value of e.
We can obtain reasonable accuracy with a very small value of n.
`e~~[(1+n)^(1//n)]_(n=0.000000001)=2.718281827`
The graph of `y=(1+n)^(1//n)` is as follows:

(There is actually a "hole" at n = 0. Can you understand why?)
Newton's Series Expansion for e
The series expansion for e is `e^x=1+x+1/2x^2+1/6x^3+1/24x^4+...`
Replacing x with 1, we have:
`e=1+1+1/2(1)^2+1/6(1)^3+1/24(1)^4+...`
We can write this as:
`e=sum_(n=0)^oo(1/(n!))`
This series converges to give us the answer correct to 9 decimal places using 12 steps:
`e~~sum_(n=0)^12(1/(n!))=2.718281828`
Brothers' Formulae
Recently, new formulae have been developed by Brothers (2004) which make the calculation of e very efficient.
`e=sum_(n=0)^oo(2n+2)/((2n+1)!`
We only need 6 steps for 9 decimal place accuracy:
`e=sum_(n=0)^6(2n+2)/((2n+1)!)=2.718281828`
Graphical Demonstration of e
The area under the curve `y=1/x` between 1 and e is equal to `1` unit2.

Reference
Brothers, H.J. 2004. Improving the convergence of Newton's series approximation for e. College Mathematics Journal 35(January):34-39..
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