Recursive definitions of sequences & functions
A recursive definition gives base values and a rule expressing later values in terms of earlier ones. To be well-founded, every recursive call must reduce towards a base case — otherwise the "definition" defines nothing. Once you have a recurrence, computing terms is mechanical, and proving a proposed closed form correct is a routine induction.
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Method: how to approach it
The order below is what examiners expect to see, and each step carries its own marks.
- Write the base cases firstEnough of them to make every recursive call bottom out. A rule referring to n−2 needs two bases.
- Check the recursion decreasesEvery call must be on a strictly smaller argument, converging on a base case.
- Unfold to compute termsSubstitute repeatedly, keeping earlier results so you do not recompute them.
- Verify a closed form by inductionCheck the base, then show the closed form satisfies the recurrence at n+1.
Worked example
For a₁ = 2 and aₙ = 2aₙ₋₁ + 1, compute a₄ and verify the closed form aₙ = 3·2^(n−1) − 1.
- a₂ = 2·2 + 1 = 5; a₃ = 2·5 + 1 = 11; a₄ = 2·11 + 1 = 23.
- Closed form at n = 1: 3·2⁰ − 1 = 2 ✓.
- Assume aₖ = 3·2^(k−1) − 1. Then aₖ₊₁ = 2(3·2^(k−1) − 1) + 1.
- = 3·2^k − 2 + 1 = 3·2^k − 1, which is the formula at k+1 ✓.
Answer. a₄ = 23, and aₙ = 3·2^(n−1) − 1 for all n ≥ 1 by induction.
Where marks get dropped
These are the specific errors that cost credit on recursive definitions of sequences & functions questions — QED's rubric penalises each of them separately.
- Giving too few base cases, leaving the recursion undefined at the bottom.
- Defining a function in terms of itself at the same or a larger argument, which never terminates.
- Checking a closed form on a few terms and calling it proved. Agreement on five terms is evidence, not a proof.
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Recursive definitions of sequences & functions — frequently asked questions
What makes a recursive definition valid?
Well-foundedness: the arguments must decrease along a relation with no infinite descending chains, so every computation reaches a base case.
How do I find the closed form?
Compute several terms and look for a pattern, or use the standard techniques — iteration/telescoping for first-order recurrences, characteristic roots for linear ones.
Are recursive definitions the same as recursive algorithms?
They correspond exactly: the base cases become the algorithm’s termination conditions and the rule becomes the recursive call. Proving termination is proving well-foundedness.
The rest of Induction & Recursion
Mathematical, strong & structural induction; recursion. Each subtopic below has its own method, worked example and mark-losing traps.
- 1Weak (ordinary) mathematical induction
- 2Strong induction
- 3Structural induction
- 4Recursive definitions of sequences & functions
- 5Inductively defined sets & languages
- 6Induction on inequalities & divisibility
- 7Recurrence relations & closed forms
- 8Well-founded induction & termination
- 9Spotting the flaw in a bogus induction proof
- 10Induction with several base cases
- 11Loop invariants & algorithm correctness
- 12Linear recurrences via characteristic roots
- 13Fibonacci identities by induction
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