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Sequences: Definitions and Examples

Dec 17, 2025

Overview

  • Definition: A sequence is a function whose domain is the natural numbers.
  • Notation: a_n denotes the nth term; graph as isolated points (n, a_n).
  • Sequences can be finite or infinite; subscripts correspond to input n.

General Term And Examples

  • General term a_n: formula producing the nth term for arbitrary n.
  • Geometric sequence example:
    • Terms: 1, 1/3, 1/9, ...
    • Formula: a_n = (1/3)^(n-1).
    • Check: substitute n = 1 gives 1.
  • Oscillating two-value sequence example:
    • Terms: 5, 1, 5, 1, ...
    • Midline method: midpoint = 3; amplitude = 2.
    • Formula: a_n = 3 + 2(-1)^(n-1) (gives odd terms 5, even terms 1).
    • Variant (swap sign pattern): a_n = 3 + 2(-1)^n.
  • Geometric with factor extraction:
    • Example: (3^(n+2))/(5^n) = 9*(3/5)^n.*

Key Definitions

  • Limit of a sequence: lim_{n→∞} a_n = L.
  • Convergent sequence: limit exists and is finite.
  • Divergent sequence: limit does not exist or equals ±∞.
  • Monotonic:
    • Increasing: a_1 < a_2 < a_3 < ...
    • Decreasing: a_1 > a_2 > a_3 > ...
    • Monotonic sequence: either always increasing or always decreasing.
  • Bounded:
    • Bounded above: exists H s.t. a_n ≤ H for all n.
    • Bounded below: exists m s.t. a_n ≥ m for all n.
    • Bounded sequence: bounded both above and below._

Limit Laws And Theorems

  • Limit laws for convergent sequences: same algebraic rules as function limits.
    • Sum, difference, product, quotient (denominator not 0), constant multiple, powers.
  • Composition with continuous function:
    • If lim_{n→∞} a_n = L and f is continuous at L, then lim_{n→∞} f(a_n) = f(L).
  • Absolute value criterion:
    • If lim_{n→∞} |a_n| = 0 then lim_{n→∞} a_n = 0.
  • Squeeze theorem for sequences:
    • If a_n ≤ b_n ≤ c_n (for n ≥ N) and lim a_n = lim c_n = L, then lim b_n = L.
  • Function-sequence relation:
    • If f(x) → L as x→∞ and a_n = f(n), then lim_{n→∞} a_n = L.
    • Use to apply tools like L'Hôpital by defining f(x) first._

Useful Limits And Tests

  • Geometric limit:
    • If |r| < 1 then lim_{n→∞} r^n = 0.
    • If r = 1 then limit = 1.
  • Polynomial-ratio sequences:
    • For rational expressions in n, compare degrees: leading-coefficient ratio gives limit.
  • L'Hôpital's rule for sequences:
    • Not applied directly to sequences; define f(x) with x real, take limit x→∞, then infer sequence limit.
    • Example: a_n = ln(n^2)/n → define f(x) = ln(x^2)/x, apply L'Hôpital twice → limit 0._

Examples And Applications

  • Example: lim_{n→∞} (2^(1+3n))^(1/n) = 2^{lim (1+3n)/n} = 2^3 = 8.
    • Concludes sequence converges to 8.
  • Example: a_n = (-1)^n / n.
    • Use absolute value: |a_n| = 1/n → 0, so a_n → 0 (oscillatory but decaying).
  • Example (squeeze): a_n = sin(2n)/(1+√n).
    • Bound: -1/(1+√n) ≤ a_n ≤ 1/(1+√n); both bounds → 0, so a_n → 0.
  • Example: a_n = 3^(n+2)/5^n = 9*(3/5)^n → since |3/5|<1, a_n → 0.
  • Example using L'Hôpital (sequence → function):
    • a_n = ln(n^2)/n; f(x)=ln(x^2)/x; apply L'Hôpital → limit 0; sequence converges.*_

Monotonicity, Boundedness, And Convergence

  • Theorem: Every bounded monotonic sequence converges.
    • Need both monotonicity (increasing or decreasing) and boundedness.
    • Intuition: monotonic with bounds must approach a finite limit.
  • Examples:
    • a_n = 1/n: bounded (0 ≤ a_n ≤ 1), decreasing → converges to 0.
    • a_n = (-1)^{n+1}: bounded (between -1 and 1) but not monotonic → diverges.

Testing Monotonicity And Bounds

  • To test monotonicity of a sequence given by a rational expression, define f(x) and use derivative:
    • Example: a_n = (2n - 3)/(3n + 4).
    • Define f(x) = (2x-3)/(3x+4). Compute f'(x) via quotient rule.
    • f'(x) = 17/(3x+4)^2 > 0 for all x → function strictly increasing.
    • Hence sequence is strictly increasing.
  • Bounds for that example:
    • Lower bound = a_1 = -1/7 (since increasing).
    • Upper bound = limiting value as n→∞ = ratio of leading coefficients = 2/3.
    • Thus sequence is bounded and convergent (limit 2/3).

Summary / Practical Tips

  • Recognize geometric sequences; test |r| < 1 for convergence.
  • Use squeeze theorem often for sequences with sine/cosine factors.
  • For rational-type sequences, either divide by highest power or use L'Hôpital after defining f(x).
  • To test monotonicity, convert to function f(x), take derivative, and infer sequence behavior.
  • To apply L'Hôpital or derivative tests, always first define an appropriate f(x) with real domain.