provides a good estimate to
near
. Another way to use the tangent line is to find its x-intercept to approximate the x-intercept of
. In this lesson, you will learn Newton’s method, which uses successive tangent lines to approximate an x-intercept. Most graphing utilities use Newton’s method to locate x-intercepts and points of intersections of graphs. Specifically, this lesson will cover:
Table of Contents |
The goal of Newton’s method is to use tangent lines to approximate an x-intercept of the graph of
. In other words, the goal is to solve the equation
.
Consider the function
.
Now, consider the picture shown above, which has two graphs:
.
(this corresponds to our “guess”).
as the x-intercept.
Notice that the x-intercept of
is very close to the x-intercept of the tangent line. The advantage of using the tangent line is that it is much easier to solve a linear equation than it is a cubic equation.
First step: Find the equation of the tangent line at
.
Given
, the derivative is
. Then, the slope of the tangent line is
.
Then, the equation of the tangent line is:

and solving for x:

So, where would we go from here?
We now have a new “guess” for the x-intercept of the graph of
. To continue with this process, find the equation of the tangent line to
at
, then find its x-intercept. We’ll formalize this process and then complete this problem in the next part of this challenge.
Consider a function
and let
be the first guess for its x-intercept.
Write the equation of the tangent line at
.
Find the x-intercept of the tangent line, which means
:
|
Replace y with 0. |
|
Subtract from both sides.
|
|
Divide both sides by .
|
|
Add to both sides.
|
Now, this x-intercept is the next guess for the intercept, which under normal conditions, is a closer estimate than
. Since this process will continue, let’s call the x-intercept of the tangent line
. Then,
.
Now, suppose we want to continue this process:
.
. Then,
.
, ... for the estimates of the x-intercept that get closer to some number (which would be the actual x-intercept). Performing these iterations is what is known as Newton’s method.
Suppose the goal is to find an approximation to an x-intercept of a function
, which is equivalent to finding a solution to
. Starting with an initial guess at
, the sequence of guesses
, ... is generated by the formula
.
The process stops when one of two things occurs:
.EXAMPLE
Let’s pick back up with the function
. When we left off, we had
and
. Let’s perform two more iterations of Newton’s Method to get a better approximation of the x-intercept. To use Newton’s method, it is best to organize the information into a table:
and
.
| n |
|
|
|
|
|---|---|---|---|---|
| 0 | 1 | -1 | 5 | 1.2 |
| 1 | 1.2 | 0.128 | 6.32 | 1.179746835 |
| 2 | 1.179746835 | 0.001468379 | 6.175407787 | 1.179509057 |
| 3 | 1.179509057 | 0.0000002 | 6.173724847 | 1.179509025 |
is (1.179509, 0). This also means that the equation
has the solution
.
In this next example, we’ll see how we can apply Newton’s Method to approximating a square root of a number.
EXAMPLE
We’re going to use Newton’s Method a little differently to approximate the value of
which is a solution to the equation
which is
Using
and
we have:

Recall that we need a starting value. In this case, we’ll use
since we know that
is between 3 and 4; likely closer to 4.

we have:

we have:

is approximately 3.605551276.
which is very close!
.
. Newton's method is a very straightforward approximation method designed to solve equations of the form
(equivalent to finding the x-intercepts of the graph of
). You learned how to apply Newton's method using its algorithm, by starting with an initial guess at
, then generating a sequence of guesses
, ... to arrive at a close approximation of the x-intercept.
Source: THIS TUTORIAL HAS BEEN ADAPTED FROM CHAPTER 2 OF "CONTEMPORARY CALCULUS" BY DALE HOFFMAN. ACCESS FOR FREE AT WWW.CONTEMPORARYCALCULUS.COM. LICENSE: CREATIVE COMMONS ATTRIBUTION 3.0 UNITED STATES.