From an equation to an iteration
An iteration turns one approximation into the next. The approximations form an ordered list called a sequence. If they get closer to one fixed value, the sequence converges to that value.
Read the subscripts as step numbers
One iteration produces one new value
current input
xₙ
↓
apply the rule
F
↓
next output
xₙ₊₁
Feed this output back as the next input ↻
xₙ₊₁ = F(xₙ)
- is the stated or chosen starting value.
- is the current approximation. The subscript labels its position in the sequence.
- is the next approximation.
- Applying once is one iteration. Its output is fed back as the next input.
Common mistake
Rearrange first, then add subscripts
An iterative formula starts from an equivalent equation , meaning an equation with the same solutions as the original one. This is not yet a solved value because still appears on both sides. It is a rule for making a new approximation from the current one.
Worked example
Build a logarithmic iteration
The modulus is the non-negative distance from to 4. The graph places the root below 4, so and on the relevant interval.
Taking undoes the exponential:
Now replace the old input and new output with subscripts:
(9709/22/O/N/24 Q4(b)–(c))
- Use the exact rearrangement supplied or requested in the question.
- Preserve the domain, meaning the allowed inputs. Here is needed because a logarithm takes a positive input.
- Different correct rearrangements can produce different sequences; some converge and some do not.
Show what a converged value must satisfy
Suppose the sequence converges to . Then the current and next approximations approach the same number, so:
This is a fixed point: putting into the rule returns . Rearrange this equation back to the original equation to show that the limit is the required root.
Worked example
Check the limit of the logarithmic iteration
The last equality uses the known interval . The limit therefore satisfies the original equation.
Examiner note
Each output becomes the next input
grey: y = x
blue: y = F(x)
xₙ₊₁ = ½ ln(3 − xₙ)
n = 0·x0 = 0.45000·still changing
Recognise convergence and failure
Check whether the values get closer
one-sided
0.40 → 0.46 → 0.465
getting closer
alternating
0.45 ↗ 0.468 ↘ 0.464
getting closer
fails
1 → 3 → 9 → 81
moving away
Alternating values can still converge.
- Values may approach the root from one side.
- They may alternate above and below the root while their distance from it becomes smaller.
- They may repeat the same short list of values in a cycle, move farther away, or leave the formula's valid domain. These are signs that the iteration is failing.
The 9709 syllabus does not require a derivative condition for convergence. You do need to understand that convergence is not guaranteed and recognise the behaviour from the generated values.
Rearrange into , write the iterative formula, and show that any converged value is a root of the original equation.
Show worked answer
If , then . Exponentiating gives , so:
