Difference Quotient Lesson
What is the Difference Quotient?
The difference quotient is a method for finding the average rate of change of a function over an interval. It calculates an approximated form of a derivative.
The difference quotient is given as:
$$\frac{f(x+h)-f(x)}{h}$$
Where f(x) is the function and h is the step size. This calculates the average rate of change of the function f(x) over the interval [x, x + h]. We apply the difference quotient to our function, which creates a new function of the variables x and h.
How to use the Difference Quotient
Let's step through an example of using the difference quotient.
Find the difference quotient of the function f(x) = 3x2 + 4. Then, determine the average rate of change on the interval x = [2, 4] and x = [5, 11].
- First we plug the function into the difference quotient.
f(x + h)⁄h - f(x)⁄h = [3(x + h)2 + 4]⁄h - [3x2 + 4]⁄h
= [3(x + h)2 - 3x2]⁄h - [3(x + h)2 - 3x2]⁄h is our new function that we can use for calculating the average rate of change for 3x2 + 4.
- Let's calculate for the interval x = [2, 4] first.
[3(x + h)2 - 3x2]⁄h → [3(2 + 2)2 - 3(22)]⁄2 = 18. - Now, let's do the same for the interval x = [5, 11].
[3(x + h)2 - 3x2]⁄h → [3(5 + 6)2 - 3(52)]⁄6 = 48.
When to use the Difference Quotient
If we are given a function and must find the slope at a point, we can make an approximation by using the difference quotient. To approximate the slope, we pick our x limits on either side of the point. Imagine the point is right in the middle of the interval. The closer the interval x limits are to the point, the more accurately the difference quotient will approximate the slope at that point. In other words, a narrower interval = a more accurate approximation.
As shown earlier in the example, we also use the difference quotient to find the average rate of change over a range of x values for a function. Look out for questions that give a function and ask to find the average slope or average rate of change over an interval or range of x values. The difference quotient is especially useful when there are multiple points to perform this with because it saves time compared to using the slope formula.