The secant's gradient is used to find an approximation for the gradient of a curve at a point. Keep in mind that gradient is the same thing as slope, rate of change, or derivative at a point. The idea is that by starting with a point
P on a curve, and adding a point
Q further down the curve, you can draw a secant line between them with a gradient (or slope) near that of the gradient at point
P. The closer you move
Q to
P, the more accurate that approximation becomes.
Here's an image:
By using a secant line, the equation for the gradient (slope) is simple:
m = (y2-y1)/(x2-x1)
Using that and the graph above, you find:
gradient = m = (y2-y1)/(x2-x1) = (4-1)/(3-2) = (3/1) = 3
In the context of point
P,
Q, and our function, this equation can be rewritten. If we let
x equal the x-value of point
P, and
h equal the distance between point
P and point
Q, it becomes:
m = (f(x+h) - f(x))/h
So using that instead:
gradient = m = (f(x+h) - f(x))/h = (f(2+1) - f(2))/1 = f(3) - f(2) = 4-1 = 3
So you use it when you want to find the slope (gradient) at a point on a curve. You use it because you don't know how to take derivatives yet and an approximation is the best you can do :P