Starting at , use two iterations of Newton's method to approximate the root of . You may leave your answer in calculator-ready form.
Answer
The root is approximately .
Newton's Method
11 problems · hints, answers and solutions shown beside each one
Starting at , use two iterations of Newton's method to approximate the root of . You may leave your answer in calculator-ready form.
The root is approximately .
Starting at , use one iteration of Newton's method to approximate the root of . Express your answer as a simplified fraction. Then, check that you're on the right path by cubing your answer with a calculator.
The root is approximately
A calculator tells us . This is pretty close to 30, which is the cube of the real root, so our approximation seems reasonable.
Use two iterations of Newton's method to approximate the -value of the critical point of the function .
If we start with , we find the critical point is approximately .
Before we start, we may want to get a feel for the problem with a quick sketch of . A full sketch, like we did in Chapter 7, isn't necessary (or really possible, since we don't know where the critical points are – although we can guess from the question text that there is only one critical point). But we can do a quick sketch using the ideas from Chapter 1. Namely: close to the origin, we expect ; far from the origin, we expect .
This helps us guess that our critical point should be at a positive value of . The critical points of the function are the roots of its derivative. So, we set
and use Newton's Method to approximate the values of that make close to 0. The formula for refining our guess will be
This question doesn't tell us where to start, so we have to figure that out on our own. From our sketch, it seems small nonnegative values of are good starting places. We'll try a few to see which are close to a root. (This is something we could also do without having first made the sketch.)
So it seems that is a good starting point. (We also see that changes from positive to negative somewhere between and , so we expect our root to be somewhere between those two numbers.)
So, two iterations of Newton's method gives us an approximate critical point of at . Since we know the root is between 0 and 1, we also could have started at , which would have lead to the following:
Other starting points are possible, but don't offer much benefit. Starting at gives us an integer starting point, which we usually go for, but it's not as good at starting at , since is closer to 0 than is.
Use one iteration of Newton's method to approximate the value of where . Leave your answer in calculator-ready form.
Two reasonable answers are below.
Starting with would give us an approximate intersection point of
Starting with would give us an approximate intersection point of
Newton's Method finds roots, so the first thing to do is to rephrase the question in terms of root finding. So, we set
and find where .
Now, we need to find a starting place for Newton's method. That is, we should find a (preferable integer) value of such that is reasonably close to 0. Rather than use a calculator to find exact values of , recall . So, for large positive values of , . With these ideas in mind, let's start evaluating at different places:
Two good candidates are (since , which is relatively close to 0) and (since is still relatively close to 0, but 10 is a `rounder' number than 11.)
In both cases, the formula we'll use to get an updated approximation is
Starting with would give us an approximate intersection point of
Starting with would give us an approximate intersection point of
Use two iterations of Newton's method to approximate a root of the function
close to . Leave your answer in calculator-ready form.
Starting with :
Starting with :
The formula we'll use is
We know we want a root close to , so ordinarily, would be our choice. However, is not in the domain of the function above. Geometrically, the function has a horizontal tangent line at . Newton's method finds roots of tangent lines, but horizontal tangent lines either have no roots (as is the case here) or infinitely many roots. So, we'll need a different starting point.
The two obvious choices are and . Note and , so seems like a better choice. But actually, if you start with , you get close to a different root. So, we'll show both below.
Starting with :
Starting with :
Use one iteration of Newton's method to find an approximate value for that is a rational number. (Hint: first think of a function, , such that has the solution .)
Using the most obvious choices (that is: and ), we approximate .
Approximate the root of using two iterations of Newton's method.
Approximate the root of using one iterations of Newton's method.
Use the method of linear approximation (i.e. one iteration of Newton's method) to find the cube root of:
Note and .
Consider the function
Critical points of a function are defined as values of for which . However, for this fifth-order polynomial, it is not easy to find such points analytically (i.e., using pencil and paper).
Use Newton's Method to find a critical point for positive values of . Use a spreadsheet and explain how you set up the calculations. Provide an answer accurate to decimal points.
Explain why a starting value of for Newton's Method does not lead to the positive critical point.
Make sure you're using Newton's Method on , not , since you want roots of .
A spreadsheet might also help you find a starting value for Newton's Method. Look for two positive numbers and that are close together with and . There will be a root of between them.
2.434820595
Using finds a negative value, but we're asked for a positive critical point.
The function whose roots we want to find is , so we'll call that function . Specifically,
To find a starting point, we'll look for positive values and that are reasonably close together where and . Since for large , a large value of should give us . Since , a value of cloer to 0 should give us .
| A | B | |
| 1 | x | f(x) |
| 2 | 0 | =5*A2$\wedge$4-16*A2$\wedge$3+9*A2$\wedge$2+2*A2-3 |
| 3 | =A2+1 |
A spreadsheet like the one above shows us that and . So, we'll start at . (Of course, other starting points are possible.)
Now, we'll set up our spreadsheet with Newton's Method, reusing Column B.
| A | B | C | |
| 1 | x\_n | f(x\_0) | f'(x\_0) |
| 2 | 2.5 | =5*A2$\wedge$4-16*A2$\wedge$3+9*A2$\wedge$2+2*A2-3 | =20*A2$\wedge$3-48*A2$\wedge$2+18*A2+2 |
| 3 | =A2-B2/C2 |
We copy the contents of A, B, and C down their respective columns. Starting in Row 6, the values stabilize to 2.434820595. So, this is our approximation for the positive root of , i.e. the positive critical point of .
If we replace 2.5 with 1 in cell A2, our values stabilize at -0.472430658. So, it seems we're finding a negative root of , rather than a positive one.
In this question, we'll find a decimal approximation of .
Recall is the angle whose sine is 0.1. Use the linear apprioximation for to get an approximate value for .
We'll refine our guess using Newton's method. Newton's method only finds roots of functions. So, find a function , with no inverse trig functions in it, such that . Then, use a spreadsheet to implement Newton's method with the starting value from (a).
The most obvious function whose root is is .
If , then . So, our initial approximation of is .
The most obvious function whose root is is . Then . We implement Newton's method as in the spreadsheet below:
| A | |
| 1 | x\_n |
| 2 | 0.1 |
| 3 | =A2-(sin(A2)-0.1)/(cos(A2)) |
We copy-pastae cell A3 down its column. At around Row 4, the -values stabilize to 0.100167421. So, we approximate
From the UBC Math 100 open textbook project, © Joel Feldman, Andrew Rechnitzer, Elyse Yeager and others. Licensed CC BY-NC-SA 4.0; this HTML adaptation is released under the same licence. Full attribution.