9.3 Newton–Raphson and other recurrence relations — Practise with help
Work each question closed book first. Write down the derivative before you
substitute, and keep the full value in your calculator.
Warm-up: remember
- Differentiate .
- For , work out and .
Answers
- .
- and , so .
If the first part was hard, revise differentiating powers in Section 7.3. If the
second was hard, revise function notation in Section 2.9.
Practise with help
1. For , write down and use Newton–Raphson with
to find to four decimal places.
Hint
The step needs the derivative at the starting value, so differentiate first.
Next step
, so and .
Full working
2. Continue the iteration in question 1 to find . Give the root to
three decimal places.
Hint
Use in the same formula. Carry the full value from the last step, not the
rounded one.
Next step
and .
Full working
The value has settled, so the root is to three decimal places.
3. Use Newton–Raphson with to find and for
.
Hint
Differentiate term by term.
Next step
and , so the first step adds .
Full working
Then and , so
4. Show that is
Newton–Raphson for . Use it with to find to four
decimal places.
Hint
Work out for , and compare it with the
recurrence.
Next step
, so .
Full working
This is the given recurrence. From :
5. Explain why Newton–Raphson fails for when the starting
value is .
Hint
Work out the derivative at the starting value.
Next step
, so .
Full working
The formula divides by . At the derivative is , so
the first step would divide by zero. The tangent at is horizontal and
never meets the axis, so there is no crossing point to use.
6. For with , work out , and
. Describe what the sequence does.
Hint
Find and first, then apply the formula.
Next step
and , so .
Full working
Then and , so
The values repeat The method does not settle, even though
every step was correct.
7. For , start both methods from : Newton–Raphson
and the simple iteration . Find for each.
Which method is closer to the root ?
Hint
The Newton–Raphson values are in question 2. For the simple iteration, substitute
into .
Next step
For the simple iteration, .
Full working
Newton–Raphson reached .
The simple iteration gives
Newton–Raphson is closer after two steps. It uses the gradient as well as the
height, so it closes the gap faster. The simple iteration still works, because
at the root, but it needs more steps.