Ma · Mathematics

How to Prove That a Monotone Bounded Sequence Converges

Published By the 9to5Science editorial team

At a glance

  1. 1. Check monotonicity

    Determine whether the sequence is nondecreasing or nonincreasing.

  2. 2. Find the relevant bound

    A nondecreasing sequence needs an upper bound; a nonincreasing sequence needs a lower bound.

  3. 3. Use completeness

    Take the supremum in the increasing case or the infimum in the decreasing case.

  4. 4. Verify the limit

    Use the defining property of the supremum or infimum to show the terms approach it.

A monotone sequence moves in only one direction: it either never decreases or never increases. The monotone convergence theorem says that if such a sequence is bounded in the direction it moves, it has a finite limit. The key idea is to identify that limit with a supremum or infimum and use its defining property to show the sequence gets arbitrarily close.

The theorem

Let (an)(a_n) be a sequence of real numbers.

  • If (an)(a_n) is nondecreasing and bounded above, then it converges to sup⁡{an:n∈N}\sup\{a_n:n\in\mathbb{N}\}.
  • If (an)(a_n) is nonincreasing and bounded below, then it converges to inf⁡{an:n∈N}\inf\{a_n:n\in\mathbb{N}\}.

Here, nondecreasing means an≤an+1a_n\leq a_{n+1} for every nn; nonincreasing means an≥an+1a_n\geq a_{n+1} for every nn. Some texts use “increasing” and “decreasing” to mean strictly increasing or strictly decreasing, so stating the inequalities avoids that convention issue.

Proof for a nondecreasing sequence

Suppose (an)(a_n) is nondecreasing and bounded above. Let

L=sup⁡{an:n∈N}.L=\sup\{a_n:n\in\mathbb{N}\}.

The set of terms is nonempty and bounded above, so the least-upper-bound property of R\mathbb{R} guarantees that this supremum exists as a real number. We show that an→La_n\to L.

Take any ε>0\varepsilon>0. Because LL is the least upper bound, L−εL-\varepsilon cannot also be an upper bound: it is strictly less than LL. Therefore, some term satisfies

aN>L−ε.a_N>L-\varepsilon.

Since the sequence is nondecreasing, every later term is at least as large as aNa_N. Since LL is an upper bound, every term is at most LL. Thus, for every n≥Nn\geq N,

L−ε<aN≤an≤L,L-\varepsilon<a_N\leq a_n\leq L,

so ∣an−L∣<ε|a_n-L|<\varepsilon. This is precisely the definition of convergence, and therefore an→La_n\to L.

The proof uses two distinct facts: monotonicity keeps later terms above the term chosen near LL, and the supremum property ensures there is a term close to LL from below.

Worked example: an=1−1/na_n=1-1/n

For n≥1n\geq1, the terms are 0,1/2,2/3,3/4,…0, 1/2, 2/3, 3/4,\ldots. The sequence is nondecreasing because

an+1−an=(1−1n+1)−(1−1n)=1n(n+1)>0.a_{n+1}-a_n=\left(1-\frac{1}{n+1}\right)-\left(1-\frac{1}{n}\right)=\frac{1}{n(n+1)}>0.

It is bounded above by 11. In fact, its supremum is 11: all terms are less than 11, and for every ε>0\varepsilon>0 there is an n>1/εn>1/\varepsilon for which 1−1/n>1−ε1-1/n>1-\varepsilon. The theorem therefore gives an→1a_n\to1.

You can also check the limit directly. Given ε>0\varepsilon>0, choose an integer N>1/εN>1/\varepsilon. For n≥Nn\geq N,

∣an−1∣=1n≤1N<ε.|a_n-1|=\frac{1}{n}\leq\frac{1}{N}<\varepsilon.

This verifies the limit using the epsilon definition as well as illustrating the theorem.

The nonincreasing case

If (an)(a_n) is nonincreasing and bounded below, set L=inf⁡{an:n∈N}L=\inf\{a_n:n\in\mathbb{N}\}. For any ε>0\varepsilon>0, the number L+εL+\varepsilon is not a lower bound, so some aN<L+εa_N<L+\varepsilon. For n≥Nn\geq N, monotonicity and the lower-bound property give

L≤an≤aN<L+ε.L\leq a_n\leq a_N<L+\varepsilon.

Hence ∣an−L∣<ε|a_n-L|<\varepsilon, and the sequence converges to its infimum. Equivalently, apply the nondecreasing result to (−an)(-a_n).

Common mistakes

  • Using the wrong bound: A nondecreasing sequence needs an upper bound for this theorem; a lower bound alone does not prevent it from growing without limit. A nonincreasing sequence needs a lower bound.
  • Assuming monotonicity alone is enough: The sequence an=na_n=n is nondecreasing but does not converge to a finite real number because it is not bounded above.
  • Assuming boundedness alone is enough: The sequence an=(−1)na_n=(-1)^n is bounded but does not converge, since it keeps alternating between −1-1 and 11.
  • Treating a supremum as a maximum: The supremum need not be one of the sequence’s terms. For 1−1/n1-1/n, the supremum is 11, but no term equals 11. The proof needs terms arbitrarily close to the supremum, not a term that attains it.

The theorem is a statement about real sequences, whose completeness guarantees the existence of the supremum and infimum used in the proof. In a setting without that completeness property, the same argument may not provide a limit in the space.

References

  1. Understanding Analysis, Stephen Abbott
  2. Principles of Mathematical Analysis, Walter Rudin

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