The Difference Quotient
The average rate of
change needs two input values. There is a tidy way to write it when the
second input is just a little step h past the first.
Start at x. Step forward by h to land
at x + h. Using
function notation, the
average rate of change between those two inputs is the difference quotient:
\frac{f(x + h) - f(x)}{(x + h) - x} = \frac{f(x + h) - f(x)}{h}
The run is simply h, so the denominator collapses to
h. The numerator is the rise: how much the output changed over
that step.
It is the slope of a secant
Geometrically, the difference quotient is the slope of the secant line joining
\big(x, f(x)\big) to
\big(x + h, f(x + h)\big). Slide h
and watch the second point move along the curve while the secant tilts to match.
The base point is fixed at x = 1 on
f(x) = x^2. As h shrinks, the two
points get closer and the secant settles toward a single steepness — a hint of what is
coming next.
Simplify it for f(x) = x^2
The real power of the difference quotient is that the algebra often simplifies. Watch what
happens with f(x) = x^2. First expand
f(x + h) = (x + h)^2 = x^2 + 2xh + h^2, then subtract
f(x) = x^2:
\frac{(x^2 + 2xh + h^2) - x^2}{h} = \frac{2xh + h^2}{h}
Now factor an h out of the top and cancel it with the
h on the bottom (this is legal as long as
h \neq 0):
\frac{h(2x + h)}{h} = 2x + h
The pesky h in the denominator is gone. The whole secant slope is
just 2x + h — a clean expression you can read off for any step
size.
See the algebra animated
The numerator and denominator change together as the step h
plays out. Press play to build the difference quotient for
f(x) = x^2 at x = 1.
Watch it explained
Sal Khan finds the slope of a secant line for an arbitrary difference — exactly the
difference quotient.