Sequences & Patterns

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Terms, indexing, and explicit vs recursive rules.

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Practice

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What is the next term in the sequence 2, 5, 8, 11, ...?

Knowledge

What Is a Sequence?

A sequence is an ordered list of numbers, each called a term. The order matters: the sequence 1, 2, 3 is different from 3, 2, 1. We usually write the terms as a_1, a_2, a_3, ... where the small number (the subscript) is the index that tells you the position of the term.

  • a_1 is the first term, a_2 the second, and so on.

  • a_n denotes the general (nth) term at position n.

  • The index n is a positive integer (1, 2, 3, ...) unless stated otherwise.

Explicit Rules

An explicit (or closed-form) rule gives a_n directly as a formula in n. You can jump straight to any term without computing the ones before it. For example, a_n = 2n + 1 produces 3, 5, 7, 9, ... — just plug in n = 1, 2, 3, 4.

def term(n):
    return 2 * n + 1

print([term(n) for n in range(1, 6)])  # [3, 5, 7, 9, 11]

Recursive Rules

A recursive rule defines each term using one or more previous terms, plus a starting value (the base case). To find a_5 you must first know the earlier terms. The Fibonacci sequence is the classic example: a_1 = 1, a_2 = 1, and a_n = a_(n-1) + a_(n-2).

def fib(n):
    a, b = 1, 1
    for _ in range(n - 1):
        a, b = b, a + b
    return a

print([fib(n) for n in range(1, 8)])  # [1, 1, 2, 3, 5, 8, 13]

Explicit vs Recursive

  • Explicit: fast random access to any term; needs a closed formula.

  • Recursive: natural for 'each term depends on the last'; must build up from the base case.

  • Many sequences can be written either way; the arithmetic and geometric ones have simple explicit formulas.