Examples

• If ${\displaystyle x_{n}=c}$ for constant ${\textstyle c}$, then ${\displaystyle x_{n}\to c}$.^{[proof 1][5]}
• If ${\displaystyle x_{n}={\frac {1}{n}}}$, then ${\displaystyle x_{n}\to 0}$.^{[proof 2][5]}
• If ${\displaystyle x_{n}={\frac {1}{n}}}$ when ${\displaystyle n}$ is even, and ${\displaystyle x_{n}={\frac {1}{n^{2}}}}$ when ${\displaystyle n}$ is odd, then ${\displaystyle x_{n}\to 0}$. (The fact that ${\displaystyle x_{n+1}>x_{n}}$ whenever ${\displaystyle n}$ is odd is irrelevant.)
• Given any real number, one may easily construct a sequence that converges to that number by taking decimal approximations. For example, the sequence ${\textstyle 0.3,0.33,0.333,0.3333,\dots }$ converges to ${\textstyle {\frac {1}{3}}}$. Note that the decimal representation ${\textstyle 0.3333\dots }$ is the limit of the previous sequence, defined by
  $${\displaystyle 0.3333...:=\lim _{n\to \infty }\sum _{k=1}^{n}{\frac {3}{10^{k}}}}$$

  
• Finding the limit of a sequence is not always obvious. Two examples are ${\displaystyle \lim _{n\to \infty }\left(1+{\tfrac {1}{n}}\right)^{n}}$ (the limit of which is the number e) and the arithmetic–geometric mean. The squeeze theorem is often useful in the establishment of such limits.

Definition

We call ${\displaystyle x}$ the limit of the sequence ${\displaystyle (x_{n})}$, which is written

${\displaystyle x_{n}\to x}$, or

${\displaystyle \lim _{n\to \infty }x_{n}=x}$,

if the following condition holds:

For each real number ${\displaystyle \varepsilon >0}$, there exists a natural number ${\displaystyle N}$ such that, for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle |x_{n}-x|<\varepsilon }$.^[6]

In other words, for every measure of closeness ${\displaystyle \varepsilon }$, the sequence's terms are eventually that close to the limit. The sequence ${\displaystyle (x_{n})}$ is said to converge to or tend to the limit ${\displaystyle x}$.

Symbolically, this is:

${\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n}-x|<\varepsilon \right)\right)\right)}$.

If a sequence ${\displaystyle (x_{n})}$ converges to some limit ${\displaystyle x}$, then it is convergent and ${\displaystyle x}$ is the only limit; otherwise ${\displaystyle (x_{n})}$ is divergent. A sequence that has zero as its limit is sometimes called a null sequence.

Illustration

• 
  Example of a sequence which converges to the limit ${\displaystyle a}$.
• 
  Regardless which ${\displaystyle \varepsilon >0}$ we have, there is an index ${\displaystyle N_{0}}$, so that the sequence lies afterwards completely in the epsilon tube ${\displaystyle (a-\varepsilon ,a+\varepsilon )}$.
• 
  There is also for a smaller ${\displaystyle \varepsilon _{1}>0}$ an index ${\displaystyle N_{1}}$, so that the sequence is afterwards inside the epsilon tube ${\displaystyle (a-\varepsilon _{1},a+\varepsilon _{1})}$.
• 
  For each ${\displaystyle \varepsilon >0}$ there are only finitely many sequence members outside the epsilon tube.

Properties

Some other important properties of limits of real sequences include the following:

• When it exists, the limit of a sequence is unique.^[5]
• Limits of sequences behave well with respect to the usual arithmetic operations. If ${\displaystyle \lim _{n\to \infty }a_{n}}$ and ${\displaystyle \lim _{n\to \infty }b_{n}}$ exists, then

${\displaystyle \lim _{n\to \infty }(a_{n}\pm b_{n})=\lim _{n\to \infty }a_{n}\pm \lim _{n\to \infty }b_{n}}$^[5]

${\displaystyle \lim _{n\to \infty }ca_{n}=c\cdot \lim _{n\to \infty }a_{n}}$^[5]

${\displaystyle \lim _{n\to \infty }(a_{n}\cdot b_{n})=\left(\lim _{n\to \infty }a_{n}\right)\cdot \left(\lim _{n\to \infty }b_{n}\right)}$^[5]

${\displaystyle \lim _{n\to \infty }\left({\frac {a_{n}}{b_{n}}}\right)={\frac {\lim \limits _{n\to \infty }a_{n}}{\lim \limits _{n\to \infty }b_{n}}}}$ provided ${\displaystyle \lim _{n\to \infty }b_{n}\neq 0}$^[5]

${\displaystyle \lim _{n\to \infty }a_{n}^{p}=\left(\lim _{n\to \infty }a_{n}\right)^{p}}$

• For any continuous function ${\textstyle f}$, if ${\displaystyle \lim _{n\to \infty }x_{n}}$ exists, then ${\displaystyle \lim _{n\to \infty }f\left(x_{n}\right)}$ exists too. In fact, any real-valued function ${\textstyle f}$ is continuous if and only if it preserves the limits of sequences (though this is not necessarily true when using more general notions of continuity).

• If ${\displaystyle a_{n}\leq b_{n}}$ for all ${\displaystyle n}$ greater than some ${\displaystyle N}$, then ${\displaystyle \lim _{n\to \infty }a_{n}\leq \lim _{n\to \infty }b_{n}}$.
• (Squeeze theorem) If ${\displaystyle a_{n}\leq c_{n}\leq b_{n}}$ for all ${\displaystyle n}$ greater than some ${\displaystyle N}$, and ${\displaystyle \lim _{n\to \infty }a_{n}=\lim _{n\to \infty }b_{n}=L}$, then ${\displaystyle \lim _{n\to \infty }c_{n}=L}$.
• (Monotone convergence theorem) If ${\displaystyle a_{n}}$ is bounded and monotonic for all ${\displaystyle n}$ greater than some ${\displaystyle N}$, then it is convergent.
• A sequence is convergent if and only if every subsequence is convergent.
• If every subsequence of a sequence has its own subsequence which converges to the same point, then the original sequence converges to that point.

These properties are extensively used to prove limits, without the need to directly use the cumbersome formal definition. For example, once it is proven that ${\displaystyle 1/n\to 0}$, it becomes easy to show—using the properties above—that ${\displaystyle {\frac {a}{b+{\frac {c}{n}}}}\to {\frac {a}{b}}}$ (assuming that ${\displaystyle b\neq 0}$).

Infinite limits

A sequence ${\displaystyle (x_{n})}$ is said to tend to infinity, written

${\displaystyle x_{n}\to \infty }$, or

${\displaystyle \lim _{n\to \infty }x_{n}=\infty }$,

if the following holds:

For every real number ${\displaystyle K}$, there is a natural number ${\displaystyle N}$ such that for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle x_{n}>K}$; that is, the sequence terms are eventually larger than any fixed ${\displaystyle K}$.

Symbolically, this is:

${\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies x_{n}>K\right)\right)\right)}$.

Similarly, we say a sequence tends to minus infinity, written

${\displaystyle x_{n}\to -\infty }$, or

${\displaystyle \lim _{n\to \infty }x_{n}=-\infty }$,

if the following holds:

For every real number ${\displaystyle K}$, there is a natural number ${\displaystyle N}$ such that for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle x_{n}<K}$; that is, the sequence terms are eventually smaller than any fixed ${\displaystyle K}$.

Symbolically, this is:

${\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies x_{n}<K\right)\right)\right)}$.

If a sequence tends to infinity or minus infinity, then it is divergent. However, a divergent sequence need not tend to plus or minus infinity, and the sequence ${\displaystyle x_{n}=(-1)^{n}}$ provides one such example.

Definition

A point ${\displaystyle x}$ of the metric space ${\displaystyle (X,d)}$ is the limit of the sequence ${\displaystyle (x_{n})}$ if:

For each real number ${\displaystyle \varepsilon >0}$, there is a natural number ${\displaystyle N}$ such that, for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle d(x_{n},x)<\varepsilon }$.

Symbolically, this is:

${\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies d(x_{n},x)<\varepsilon \right)\right)\right)}$.

This coincides with the definition given for real numbers when ${\displaystyle X=\mathbb {R} }$ and ${\displaystyle d(x,y)=|x-y|}$.

Properties

• When it exists, the limit of a sequence is unique, as distinct points are separated by some positive distance, so for ${\displaystyle \varepsilon }$ less than half this distance, sequence terms cannot be within a distance ${\displaystyle \varepsilon }$ of both points.

• For any continuous function f, if ${\displaystyle \lim _{n\to \infty }x_{n}}$ exists, then ${\displaystyle \lim _{n\to \infty }f(x_{n})=f\left(\lim _{n\to \infty }x_{n}\right)}$. In fact, a function f is continuous if and only if it preserves the limits of sequences.

Cauchy sequences

The plot of a Cauchy sequence (x_n), shown in blue, as ${\displaystyle x_{n}}$ versus n. Visually, we see that the sequence appears to be converging to a limit point as the terms in the sequence become closer together as n increases. In the real numbers every Cauchy sequence converges to some limit.

A Cauchy sequence is a sequence whose terms ultimately become arbitrarily close together, after sufficiently many initial terms have been discarded. The notion of a Cauchy sequence is important in the study of sequences in metric spaces, and, in particular, in real analysis. One particularly important result in real analysis is the Cauchy criterion for convergence of sequences: a sequence of real numbers is convergent if and only if it is a Cauchy sequence. This remains true in other complete metric spaces.

Definition

A point ${\displaystyle x\in X}$ of the topological space ${\displaystyle (X,\tau )}$ is a limit or limit point^[7][8] of the sequence ${\displaystyle \left(x_{n}\right)_{n\in \mathbb {N} }}$ if:

For every neighbourhood ${\displaystyle U}$ of ${\displaystyle x}$, there exists some ${\displaystyle N\in \mathbb {N} }$ such that for every ${\displaystyle n\geq N}$, we have ${\displaystyle x_{n}\in U}$.^[9]

This coincides with the definition given for metric spaces, if ${\displaystyle (X,d)}$ is a metric space and ${\displaystyle \tau }$ is the topology generated by ${\displaystyle d}$.

A limit of a sequence of points ${\displaystyle \left(x_{n}\right)_{n\in \mathbb {N} }}$ in a topological space ${\displaystyle T}$ is a special case of a limit of a function: the domain is ${\displaystyle \mathbb {N} }$ in the space ${\displaystyle \mathbb {N} \cup \lbrace +\infty \rbrace }$, with the induced topology of the affinely extended real number system, the range is ${\displaystyle T}$, and the function argument ${\displaystyle n}$ tends to ${\displaystyle +\infty }$, which in this space is a limit point of ${\displaystyle \mathbb {N} }$.

Properties

In a Hausdorff space, limits of sequences are unique whenever they exist. Note that this need not be the case in non-Hausdorff spaces; in particular, if two points ${\displaystyle x}$ and ${\displaystyle y}$ are topologically indistinguishable, then any sequence that converges to ${\displaystyle x}$ must converge to ${\displaystyle y}$ and vice versa.

Example

• If ${\displaystyle x_{n,m}=c}$ for constant ${\textstyle c}$, then ${\displaystyle x_{n,m}\to c}$.
• If ${\displaystyle x_{n,m}={\frac {1}{n+m}}}$, then ${\displaystyle x_{n,m}\to 0}$.
• If ${\displaystyle x_{n,m}={\frac {n}{n+m}}}$, then the limit does not exist. Depending on the relative "growing speed" of ${\textstyle n}$ and ${\textstyle m}$, this sequence can get closer to any value between ${\textstyle 0}$ and ${\textstyle 1}$.

Definition

We call ${\displaystyle x}$ the double limit of the sequence ${\displaystyle (x_{n,m})}$, written

${\displaystyle x_{n,m}\to x}$, or

${\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=x}$,

if the following condition holds:

For each real number ${\displaystyle \varepsilon >0}$, there exists a natural number ${\displaystyle N}$ such that, for every pair of natural numbers ${\displaystyle n,m\geq N}$, we have ${\displaystyle |x_{n,m}-x|<\varepsilon }$.^[10]

In other words, for every measure of closeness ${\displaystyle \varepsilon }$, the sequence's terms are eventually that close to the limit. The sequence ${\displaystyle (x_{n,m})}$ is said to converge to or tend to the limit ${\displaystyle x}$.

Symbolically, this is:

${\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies |x_{n,m}-x|<\varepsilon \right)\right)\right)}$.

Note that the double limit is different from taking limit in n first, and then in m. The latter is known as iterated limit. Given that both the double limit and the iterated limit exists, they have the same value. However, it is possible that one of them exist but the other does not.

Infinite limits

A sequence ${\displaystyle (x_{n,m})}$ is said to tend to infinity, written

${\displaystyle x_{n,m}\to \infty }$, or

${\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=\infty }$,

if the following holds:

For every real number ${\displaystyle K}$, there is a natural number ${\displaystyle N}$ such that for every pair of natural numbers ${\displaystyle n,m\geq N}$, we have ${\displaystyle x_{n,m}>K}$; that is, the sequence terms are eventually larger than any fixed ${\displaystyle K}$.

Symbolically, this is:

${\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies x_{n,m}>K\right)\right)\right)}$.

Similarly, a sequence ${\displaystyle (x_{n,m})}$ tends to minus infinity, written

${\displaystyle x_{n,m}\to -\infty }$, or

${\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=-\infty }$,

if the following holds:

For every real number ${\displaystyle K}$, there is a natural number ${\displaystyle N}$ such that for every pair of natural numbers ${\displaystyle n,m\geq N}$, we have ${\displaystyle x_{n,m}<K}$; that is, the sequence terms are eventually smaller than any fixed ${\displaystyle K}$.

Symbolically, this is:

${\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies x_{n,m}<K\right)\right)\right)}$.

If a sequence tends to infinity or minus infinity, then it is divergent. However, a divergent sequence need not tend to plus or minus infinity, and the sequence ${\displaystyle x_{n,m}=(-1)^{n+m}}$ provides one such example.

Pointwise limits and uniform limits

For a double sequence ${\displaystyle (x_{n,m})}$, we may take limit in one of the indices, say, ${\displaystyle n\to \infty }$, to obtain a single sequence ${\displaystyle (y_{m})}$. In fact, there are two possible meanings when taking this limit. The first one is called pointwise limit, denoted

${\displaystyle x_{n,m}\to y_{m}\quad {\text{pointwise}}}$, or

${\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}\quad {\text{pointwise}}}$,

which means:

For each real number ${\displaystyle \varepsilon >0}$ and each fixed natural number ${\displaystyle m}$, there exists a natural number ${\displaystyle N(\varepsilon ,m)>0}$ such that, for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle |x_{n,m}-y_{m}|<\varepsilon }$.^[11]

Symbolically, this is:

${\displaystyle \forall \varepsilon >0\left(\forall m\in \mathbb {N} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n,m}-y_{m}|<\varepsilon \right)\right)\right)\right)}$.

When such a limit exists, we say the sequence ${\displaystyle (x_{n,m})}$ converges pointwise to ${\displaystyle (y_{m})}$.

The second one is called uniform limit, denoted

${\displaystyle x_{n,m}\to y_{m}\quad {\text{uniformly}}}$,

${\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}\quad {\text{uniformly}}}$,

${\displaystyle x_{n,m}\rightrightarrows y_{m}}$, or

${\displaystyle {\underset {n\to \infty }{\mathrm {unif} \lim }}\;x_{n,m}=y_{m}}$,

which means:

For each real number ${\displaystyle \varepsilon >0}$, there exists a natural number ${\displaystyle N(\varepsilon )>0}$ such that, for every natural number ${\displaystyle m}$ and for every natural number ${\displaystyle n\geq N}$, we have ${\displaystyle |x_{n,m}-y_{m}|<\varepsilon }$.^[11]

Symbolically, this is:

${\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall m\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n,m}-y_{m}|<\varepsilon \right)\right)\right)\right)}$.

In this definition, the choice of ${\displaystyle N}$ is independent of ${\displaystyle m}$. In other words, the choice of ${\displaystyle N}$ is uniformly applicable to all natural numbers ${\displaystyle m}$. Hence, one can easily see that uniform convergence is a stronger property than pointwise convergence: the existence of uniform limit implies the existence and equality of pointwise limit:

If ${\displaystyle x_{n,m}\to y_{m}}$ uniformly, then ${\displaystyle x_{n,m}\to y_{m}}$ pointwise.

When such a limit exists, we say the sequence ${\displaystyle (x_{n,m})}$ converges uniformly to ${\displaystyle (y_{m})}$.

Iterated limit

For a double sequence ${\displaystyle (x_{n,m})}$, we may take limit in one of the indices, say, ${\displaystyle n\to \infty }$, to obtain a single sequence ${\displaystyle (y_{m})}$, and then take limit in the other index, namely ${\displaystyle m\to \infty }$, to get a number ${\displaystyle y}$. Symbolically,

${\displaystyle \lim _{m\to \infty }\lim _{n\to \infty }x_{n,m}=\lim _{m\to \infty }y_{m}=y}$.

This limit is known as iterated limit of the double sequence. Note that the order of taking limits may affect the result, i.e.,

${\displaystyle \lim _{m\to \infty }\lim _{n\to \infty }x_{n,m}\neq \lim _{m\to \infty }\lim _{n\to \infty }x_{n,m}}$ in general.

A sufficient condition of equality is given by the Moore-Osgood theorem, which requires the limit ${\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}}$ to be uniform in ${\textstyle m}$.^[10]

Proofs