Euler’s Number \( e \)

Definition of Euler’s Constant \( e \)

In the study of compound interest, it is shown that if an amount of money \( P \) (the principal) is invested at an annual interest rate \( r \), then the total amount \( A \) after \( t \) years is

\[ A = P(1 + r)^t \]

If the interest is compounded \( n \) times per year, the amount becomes

\[ A = P\left(1 + \frac{r}{n}\right)^{nt} \]

Let \[ N = \frac{n}{r} \] so that \( \frac{r}{n} = \frac{1}{N} \) and \( n = rN \). Substituting into the formula gives

\[ A = P\left(1 + \frac{1}{N}\right)^{Nrt} \]

This expression can be rewritten as

\[ A = P\left( \left(1 + \frac{1}{N}\right)^N \right)^{rt} \]

A natural question arises: what happens if the number of compoundings \( n \) (and therefore \( N \)) increases without bound?

As \( N \to \infty \), the quantity \[ \left(1 + \frac{1}{N}\right)^N \] approaches a constant value called Euler’s number, denoted by \( e \), named after the Swiss mathematician Leonhard Euler.

Numerically, \[ e \approx 2.71828182846 \]

Numerical Approximation of \( e \)

The table below shows how the expression \( \left(1 + \frac{1}{N}\right)^N \) approaches \( e \) as \( N \) increases.

\( N \) \( \left(1 + \frac{1}{N}\right)^N \)
12.00000
22.25000
32.37037
102.59374
202.65329
402.68506
1002.70481
2002.71149
4002.71488

The graph below illustrates \( y = \left(1 + \frac{1}{N}\right)^N \) as a function of \( N \). As \( N \) increases, the curve approaches the horizontal line \( y = e \).

Graph showing convergence of (1 + 1/N)^N to Euler’s number e

Limit Definitions of \( e \)

More rigorously, Euler’s number is defined by the limit

\[ e = \lim_{N \to \infty} \left(1 + \frac{1}{N}\right)^N \]

Letting \( m = \frac{1}{N} \), an equivalent definition is

\[ e = \lim_{m \to 0} (1 + m)^{\frac{1}{m}} \]

When interest is compounded continuously, the amount of money after \( t \) years is given by

\[ A = Pe^{rt} \]

Exponential and Logarithmic Functions with Base \( e \)

Euler’s number \( e \) plays a central role in applied mathematics. Many models in physics, engineering, chemistry, economics, and population dynamics are expressed using exponential functions with base \( e \).

The natural exponential function is defined by

\[ f(x) = e^x \]

Its inverse function, the natural logarithm, is defined by

\[ g(x) = \ln(x) \]

The graphs of the natural exponential and natural logarithmic functions are shown below.

Graphs of the natural exponential function and natural logarithm

Further Reading