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Limit of a Monotone Sequence: Statement and Proof

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By Pimath, 9 June, 2025

The limit theorem for monotone sequences is one of the fundamental results about limits of sequences. It states that a monotone sequence always has a limit, either finite or infinite.

More precisely, an increasing sequence tends to its supremum, while a decreasing sequence tends to its infimum. In particular, a bounded monotone sequence is always convergent.

This result is especially useful because it lets us establish that the limit of a sequence exists without having to compute it explicitly. It is enough to verify monotonicity and, when a finite limit is sought, boundedness.


Contents

  • A review of monotone sequences
  • Limit theorem for monotone sequences
  • The case of an increasing sequence
  • The case of a decreasing sequence
  • Bounded monotone sequences
  • Examples

A review of monotone sequences

Throughout, we assume that sequences are indexed by the natural numbers starting at \(1\), that is, \(n\geq1\).

A real sequence \((a_n)\) is said to be increasing if

\[ a_n\leq a_{n+1} \]

for every \(n\in\mathbb{N}\). In other words, each term is less than or equal to the next.

A real sequence \((a_n)\) is said instead to be decreasing if

\[ a_n\geq a_{n+1} \]

for every \(n\in\mathbb{N}\). In this case each term is greater than or equal to the next.

In both definitions monotonicity is taken in the weak sense: an increasing sequence may have equal consecutive terms, and likewise a decreasing sequence may have equal consecutive terms.

With this terminology, an increasing sequence is also called nondecreasing, while a decreasing sequence is also called nonincreasing. When the inequalities are strict, one speaks instead of strictly increasing or strictly decreasing sequences.

A sequence is said to be monotone if it is either increasing or decreasing.

Monotonicity thus describes the orderly behavior of the terms of a sequence. By itself, however, it does not tell us whether the limit is finite or infinite. For instance, an increasing sequence may either converge to a real number or diverge to \(+\infty\).


Limit theorem for monotone sequences

Let \((a_n)\) be a monotone real sequence.

If \((a_n)\) is increasing, then

\[ \lim_{n\to+\infty}a_n=\sup\{a_n:n\in\mathbb{N}\}, \]

where the supremum may be either a real number or \(+\infty\).

If \((a_n)\) is decreasing, then

\[ \lim_{n\to+\infty}a_n=\inf\{a_n:n\in\mathbb{N}\}, \]

where the infimum may be either a real number or \(-\infty\).

In compact form:

\[ \lim_{n\to+\infty}a_n = \begin{cases} \sup\{a_n:n\in\mathbb{N}\}, & \text{if } (a_n) \text{ is increasing},\\[4pt] \inf\{a_n:n\in\mathbb{N}\}, & \text{if } (a_n) \text{ is decreasing}. \end{cases} \]

This means that a monotone sequence cannot fail to have a limit in the extended sense: its limit always exists, possibly as an infinite limit.

Since the limit of a sequence, when it exists, is unique, this value completely determines the limiting behavior of the monotone sequence.

For example, the sequence \(a_n=(-1)^n\) has no limit, but it is not monotone. Monotonicity is therefore a strong condition: it rules out persistent oscillation between distinct values.


The case of an increasing sequence

Suppose that \((a_n)\) is an increasing sequence. We distinguish two cases: the sequence may be bounded above or unbounded above.

Increasing and bounded above

Suppose that \((a_n)\) is increasing and bounded above. Then the set of its values

\[ \{a_n:n\in\mathbb{N}\} \]

is nonempty and bounded above. By the completeness property of the real numbers, its supremum exists. Set

\[ S=\sup\{a_n:n\in\mathbb{N}\}. \]

We claim that

\[ \lim_{n\to+\infty}a_n=S. \]

By the definition of supremum, \(S\) is an upper bound of the set \(\{a_n:n\in\mathbb{N}\}\). Hence

\[ a_n\leq S \]

for every \(n\in\mathbb{N}\).

Moreover, again by the definition of supremum, for every \(\varepsilon>0\) the number \(S-\varepsilon\) is not an upper bound of the set. Consequently there is an index \(k\in\mathbb{N}\) such that

\[ S-\varepsilon<a_k. \]

Since the sequence is increasing, for every \(n\geq k\) we have

\[ a_k\leq a_n. \]

Therefore, for every \(n\geq k\),

\[ S-\varepsilon<a_k\leq a_n\leq S. \]

From this chain of inequalities it follows that

\[ 0\leq S-a_n<\varepsilon. \]

Hence

\[ |a_n-S|<\varepsilon \]

for every \(n\geq k\). By the definition of limit,

\[ \lim_{n\to+\infty}a_n=S. \]

Thus an increasing sequence that is bounded above converges to its supremum.

Increasing and unbounded above

Now suppose that \((a_n)\) is increasing and unbounded above. We claim that

\[ \lim_{n\to+\infty}a_n=+\infty. \]

Since the sequence is not bounded above, for every \(M>0\) there is an index \(\nu\in\mathbb{N}\) such that

\[ a_\nu>M. \]

Because \((a_n)\) is increasing, for every \(n\geq \nu\) we have

\[ a_n\geq a_\nu>M. \]

Hence, for every \(M>0\), there is \(\nu\in\mathbb{N}\) such that, for every \(n\geq\nu\),

\[ a_n>M. \]

By the definition of divergence to \(+\infty\),

\[ \lim_{n\to+\infty}a_n=+\infty. \]

Thus an increasing sequence that is unbounded above diverges to \(+\infty\).


The case of a decreasing sequence

Suppose that \((a_n)\) is a decreasing sequence. Here too we distinguish two possibilities: the sequence may be bounded below or unbounded below.

Decreasing and bounded below

Suppose that \((a_n)\) is decreasing and bounded below. Then the set of its values

\[ \{a_n:n\in\mathbb{N}\} \]

is nonempty and bounded below. By the completeness property of the real numbers, its infimum exists. Set

\[ L=\inf\{a_n:n\in\mathbb{N}\}. \]

We claim that

\[ \lim_{n\to+\infty}a_n=L. \]

By the definition of infimum, \(L\) is a lower bound of the set \(\{a_n:n\in\mathbb{N}\}\). Hence

\[ L\leq a_n \]

for every \(n\in\mathbb{N}\).

Moreover, by the definition of infimum, for every \(\varepsilon>0\) the number \(L+\varepsilon\) is not a lower bound of the set. Consequently there is an index \(k\in\mathbb{N}\) such that

\[ a_k<L+\varepsilon. \]

Since the sequence is decreasing, for every \(n\geq k\) we have

\[ a_n\leq a_k. \]

Therefore, for every \(n\geq k\),

\[ L\leq a_n\leq a_k<L+\varepsilon. \]

From this chain of inequalities it follows that

\[ 0\leq a_n-L<\varepsilon. \]

Hence

\[ |a_n-L|<\varepsilon \]

for every \(n\geq k\). By the definition of limit,

\[ \lim_{n\to+\infty}a_n=L. \]

Thus a decreasing sequence that is bounded below converges to its infimum.

Decreasing and unbounded below

Now suppose that \((a_n)\) is decreasing and unbounded below. We claim that

\[ \lim_{n\to+\infty}a_n=-\infty. \]

Since the sequence is not bounded below, for every \(M>0\) there is an index \(\nu\in\mathbb{N}\) such that

\[ a_\nu<-M. \]

Because \((a_n)\) is decreasing, for every \(n\geq \nu\) we have

\[ a_n\leq a_\nu<-M. \]

Hence, for every \(M>0\), there is \(\nu\in\mathbb{N}\) such that, for every \(n\geq\nu\),

\[ a_n<-M. \]

By the definition of divergence to \(-\infty\),

\[ \lim_{n\to+\infty}a_n=-\infty. \]

Thus a decreasing sequence that is unbounded below diverges to \(-\infty\).


Bounded monotone sequences

From the preceding theorem we obtain a criterion that is used very often.

If a sequence is increasing and bounded above, then it converges, and its limit is its supremum:

\[ \lim_{n\to+\infty}a_n=\sup\{a_n:n\in\mathbb{N}\}. \]

If a sequence is decreasing and bounded below, then it converges, and its limit is its infimum:

\[ \lim_{n\to+\infty}a_n=\inf\{a_n:n\in\mathbb{N}\}. \]

In particular, every bounded monotone real sequence is convergent.

This criterion is commonly called the monotone convergence theorem for sequences. It is useful because it allows one to establish the existence of a limit without immediately knowing its explicit value.


Examples

Example 1. Consider the sequence

\[ a_n=1-\frac{1}{n}. \]

The sequence is increasing, since

\[ a_{n+1}=1-\frac{1}{n+1} \]

and, because

\[ \frac{1}{n+1}<\frac{1}{n}, \]

we have

\[ 1-\frac{1}{n+1}>1-\frac{1}{n}. \]

Hence

\[ a_{n+1}>a_n. \]

Moreover, for every \(n\in\mathbb{N}\),

\[ a_n<1. \]

The sequence is therefore increasing and bounded above. By the limit theorem for monotone sequences, it converges to its supremum.

In this case

\[ \sup\{a_n:n\in\mathbb{N}\}=1. \]

Indeed,

\[ 1-\frac{1}{n}<1 \]

for every \(n\in\mathbb{N}\). Moreover, for every \(\varepsilon>0\) there is \(n\in\mathbb{N}\) such that

\[ 1-\varepsilon<1-\frac{1}{n}. \]

This inequality is equivalent to

\[ \frac{1}{n}<\varepsilon, \]

which holds for all sufficiently large \(n\). Hence \(1\) is the least upper bound.

Therefore

\[ \lim_{n\to+\infty}\left(1-\frac{1}{n}\right)=1. \]

Example 2. Consider the sequence

\[ b_n=\frac{1}{n}. \]

The sequence is decreasing, since

\[ \frac{1}{n+1}<\frac{1}{n} \]

for every \(n\in\mathbb{N}\). It is also bounded below, since

\[ b_n>0 \]

for every \(n\in\mathbb{N}\).

Hence \((b_n)\) is decreasing and bounded below. By the limit theorem for monotone sequences, it converges to its infimum.

In this case

\[ \inf\{b_n:n\in\mathbb{N}\}=0. \]

Indeed, \(0\) is a lower bound of the sequence, since

\[ \frac{1}{n}>0 \]

for every \(n\in\mathbb{N}\). Moreover, for every \(\varepsilon>0\) there is \(n\in\mathbb{N}\) such that

\[ \frac{1}{n}<\varepsilon. \]

Thus the terms of the sequence become arbitrarily close to \(0\) from above. Consequently \(0\) is the greatest lower bound.

Therefore

\[ \lim_{n\to+\infty}\frac{1}{n}=0. \]

Example 3. Consider the sequence

\[ c_n=n. \]

The sequence is increasing but not bounded above. Indeed, for every \(M>0\) there is \(n\in\mathbb{N}\) such that

\[ n>M. \]

Hence, by the limit theorem for monotone sequences,

\[ \lim_{n\to+\infty}n=+\infty. \]

Example 4. Consider the sequence

\[ d_n=-n. \]

The sequence is decreasing and not bounded below. Indeed, for every \(M>0\) there is \(n\in\mathbb{N}\) such that

\[ -n<-M. \]

Hence, by the limit theorem for monotone sequences,

\[ \lim_{n\to+\infty}(-n)=-\infty. \]

These examples show that monotonicity always guarantees the existence of the limit, but not that the limit is finite. To obtain convergence to a real number one also needs the appropriate boundedness: above for increasing sequences, below for decreasing sequences.

The theorem depends essentially on the completeness of the real numbers. Indeed, in \(\mathbb{Q}\) a bounded monotone sequence may fail to converge to a rational number. For example, the sequence of finite decimal approximations of \(\sqrt{2}\),

\[ 1,\ 1.4,\ 1.41,\ 1.414,\ 1.4142,\ \ldots \]

is increasing and bounded in \(\mathbb{Q}\), yet it does not converge in \(\mathbb{Q}\), because its limit in \(\mathbb{R}\) is \(\sqrt{2}\), which is irrational.


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