Convergent Sequence is Cauchy Sequence
From ProofWiki
Contents |
Theorem
Let $M = \left({A, d}\right)$ be a metric space.
Every convergent sequence in $M$ is a Cauchy sequence.
Proof
Let $\left \langle {x_n} \right \rangle$ be a sequence in $A$ that converges to the limit $l \in A$.
Let $\epsilon > 0$.
Then also $\dfrac \epsilon 2 > 0$.
Because $\left \langle {x_n} \right \rangle$ converges to $l$, we have:
- $\exists N: \forall n > N: d \left({x_n, l}\right) < \dfrac \epsilon 2$
In the same way:
- $\forall m > N: d \left({x_m, l}\right) < \dfrac \epsilon 2$
So if $m > N$ and $n > N$, then:
| \(\displaystyle \) | \(\displaystyle d \left({x_n, x_m}\right)\) | \(\le\) | \(\displaystyle d \left({x_n, l}\right) + d \left({l, x_m}\right)\) | \(\displaystyle \) | (by the Triangle Inequality) | ||
| \(\displaystyle \) | \(\displaystyle \) | \(<\) | \(\displaystyle \frac \epsilon 2 + \frac \epsilon 2\) | \(\displaystyle \) | (by choice of $N$) | ||
| \(\displaystyle \) | \(\displaystyle \) | \(=\) | \(\displaystyle \epsilon\) | \(\displaystyle \) |
Thus $\left \langle {x_n} \right \rangle$ is a Cauchy sequence.
$\blacksquare$
Also see
A metric space in which the converse also holds is called complete.
An example of a complete metric space is given by the real number line.
Thus, every Cauchy sequence in $\R$ is convergent.
Sources
- Lynn Arthur Steen and J. Arthur Seebach, Jr.: Counterexamples in Topology (1970)... (previous)... (next): $\text{I}: \ \S 5$: Complete Metric Spaces
- K.G. Binmore: Mathematical Analysis: A Straightforward Approach (1977)... (previous)... (next): $\S 5.17$