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Growth by Multiplying: The Exponential Function

Linear growth adds; exponential growth multiplies. Meet the function f(x) = a·b^x, see why the base b is the whole story, and learn to tell growth from decay at a glance.

Adding versus multiplying

A line grows by the same *amount* every step: start at 100, add 30, get 130, add 30 again, 160. The change is constant. An exponential function grows by the same *factor* every step: start at 100, multiply by 1.3, get 130, multiply by 1.3 again, 169. The change itself keeps getting bigger, because you are taking a percentage of a number that is itself growing.

We write the exponential as f(x) = a·b^x. The number a is the starting value (what you have when x = 0, since b^0 = 1). The number b is the base — the factor you multiply by each time x goes up by one. This is exactly the rule behind a geometric sequence, where b plays the role of the common ratio; an exponential function is that same multiplying pattern made continuous.

Linear  y = 100 + 30x         Exponential  y = 100·(1.3)^x

 x | linear        x | exponential
 0 | 100           0 | 100
 1 | 130           1 | 130
 2 | 160           2 | 169
 3 | 190           3 | 219.7
 4 | 220           4 | 285.6

Linear: each step adds 30 (constant gap).
Exponential: each step multiplies by 1.3 (constant ratio).
Constant difference is a line; constant ratio is an exponential.

The base decides everything

For an exponential f(x) = a·b^x we always require b > 0 and b ≠ 1. If b > 1, multiplying by b each step makes the values climb — this is exponential growth. If 0 < b < 1, multiplying by a number smaller than one shrinks the values toward zero — this is exponential decay. The base b = 1 is banned because multiplying by one never changes anything; the function would be the flat constant a.

Notice what makes an exponential different from a power like x^2. In a power the variable sits in the base and the exponent is fixed; in an exponential the variable sits in the [[exponent|exponent]] and the base is fixed. That swap is the whole difference: x^2 grows like a parabola, but 2^x eventually outruns it and every other polynomial, no matter how high its degree.

What the graph looks like

Every exponential a·b^x with a > 0 stays strictly positive — its graph never touches the x-axis. As x runs off to one side the curve hugs the axis without ever reaching it (a horizontal asymptote at y = 0), and to the other side it shoots upward. Growth curves rise as you read left to right; decay curves fall. The y-intercept is always a, because setting x = 0 gives a·b^0 = a·1 = a.

Growth: y = 2^x            Decay: y = (1/2)^x

 x | y                     x | y
-2 | 1/4 = 0.25           -2 | 4
-1 | 1/2 = 0.5            -1 | 2
 0 | 1                     0 | 1
 1 | 2                     1 | 1/2
 2 | 4                     2 | 1/4
 3 | 8                     3 | 1/8

Note: (1/2)^x = 2^(-x), so decay is just
growth read backwards — a mirror across the y-axis.
Base above 1 climbs; base below 1 is the same curve reflected.