Exponential Functions

Let t represent time measured in years starting today at t=0, and suppose you have a function f[t] which increases by 12 per cent per year, starting withan inital value of P. This means that the following equations are true.
        f[0]   = P
        f[t+1] = f[t] + 0.12 f[t]
Now we may use the distributive rule to rewrite the second equation as
        f[t+1] = 1.12 f[t]
and then use it to deduce:
        f[1] = f[0+1] = 1.12 f[0] = 1.12 P
and
        f[2] = f[1+1] = 1.12 f[1] = 1.12 1.12 P
and also
        f[3] = f[2+1] = 1.12 f[2] = 1.12 1.12 1.12 P
and so on. The general pattern is recognizable - after t years we will have multiplied P by 1.12 t times, and that is the same as multiplying by the t-th power of 1.12, so we get this formula:
                   t
        f[t] = 1.12  P
Now until now we were talking about values of t which are integers (whole numbers), but if we let t take on arbitrary real values we can use the same formula to predict values of f[t] at any point within a year.

Finally, to relate this to the natural logarithm as introduced in the text, we use the definition of Log[1.12] as that number which you have to raise E to to get 1.12, i.e., we have this formula:

                Log[1.12]
        1.12 = E
This, together with the high school algebra identity
          a b    (a b)
        (x )  = x
allows us to write the following formula.
                  Log[1.12] t
        f[t] = P E