By the intuition from our birth, we love summing things, categorising the similar things and so on. Consider a sum $A=1+2+3+4+\dots$ what we have here is infinite sum, as “$\dots$” imply “this sum goes to infinity with the order you see”. So in a some sense, it behaves like sequences, because we write the things in order like $1$, $2$, $3$, $4$, $\dots$ and then we sum them. Mathematicians tought that so, and as a result they came up with a new topic called “series”, especially “infinite series”. Spoiler alert, an infinite series can converge, if not we say series is divergent.
Infinity and Beyond!
$\textbf{\small Definition 1.18.:} $ (Infinite Series) Let $(b_n)$ be a sequence. An infinite series is a formal expression of the form
So as we said, it can diverge or converge.
$\textbf{\small Definition 1.19.:} $ (Convergence of Series) Let $(s_m)$ be a sequence of partial sums of a series $\sum_{n=1}^{\infty} b_n$, which written as
and say that the series $\sum_{n=1}^{\infty} b_n$ converges $B$ if the sequence $(s_m)$ converges to $B$. In this case we write $\sum_{n=1}^{\infty} b_n = B$.
It is intuitive to think, if an infinite series converges, then finite sum of the series also converges.
$\textbf{\small Example:} $ Consider the following very famous example. Check that if
converges
$\textbf{\small Solution:} $ Take the partial sum $s(m)$
as definition of convergence of series implies if $(s_m)$ converges to somewhere, then we say the series also converges. We will use monotone convergence theorem. So, first we will show that the partial sum $(s_m)$ is monotone and then bounded.
Consider,
Thus,
$s_m$ is monotone decreasing sequence. Now let us find a bound for partial sum
And we see that $2$ is an upper bound for $s_m$. By the monotone convergence theorem, $\sum_{n=1}^{\infty} \frac{1}{n^2}$ converges to a limit less than $2$. Later, we will show the exact value of the limit.
$\textbf{\small Theorem 1.12.:} $ (Cauchy Convergence Criteria) The series $\sum_{n=1}^{\infty} a_k$ is convergent if and only if $\varepsilon > 0$, $\exists N(\varepsilon)$, $\forall n > N$
$\textbf{\small Proof:}$ Let us begin with ($\Rightarrow$) side. Suppose that $\sum_{n=1}^{\infty} a_k$ converges. This means the partial sum $s_m = a_1 + a_2 + \dots + a_m$ converges and therefore, $s_m$ is Cauchy sequence.
Let $\varepsilon > 0$ be given, then there exists $N(\varepsilon)$, $\forall n,m > N$. Take,
Now let us prove the other ($\Leftarrow$) side. Let $s_m = a_{1} + a_{2} + \dots + a_{m}$ be a convergent sequence. Then $s_n$ is a Cauchy sequence for all $n,m$. WLOG, $n > m$. Consider,
and also since convergent sequence $s_m$ is a partial sum of $\sum_{n=1}^{\infty} a_k$. Means that, the sum $\sum_{n=1}^{\infty} a_k$ also converge. Now, let us investigate harmonic series
$\textbf{\small Example:} $ Show that
$\textbf{\small Solution:} $ Consider the following term
Hence, $s_m$ is not Cauchy sequence and by theorem 1.12 we conclude that the sum $\sum_{n=1}^{\infty} \dfrac{1}{n}$ is divergent.
Remember that, Cauchy sequence says “there is a limit that this sequence goes, but I do not know what it is.”, similarly the theorem 1.13 reads that “if the sum of many terms of a series is smaller than arbitrary small number, then you can say the series converges.”.
$\textbf{\small Theorem 1.13.:} $ If $\sum_{n=1}^{\infty} a_n$ converges, then $\lim_{n\rightarrow \infty} a_n = 0$
$\textbf{\small Proof:}$ Take partial sum $s_n = a_1 + a_2 + \dots + a_n$. Also take, $s_{n-1} = a_1 + a_2 + \dots + a_{n-1}$. If $\sum a_n$ converges, say $s$, we can say that partial sum $s_m$ also converges by definition 1.19.
and also
Using $(1)$ and $(2)$, we complete the proof
Observe that $a_n$ in above theorem is the very sequence used in the series, not the partial sum of the series.
Therefore, converse of the theorem 1.13 is not true. We cannot guarantee if $\lim_{n \rightarrow \infty} a_n = 0$, then $\sum a_k$ converges. Most famous example for that is harmonic series. Because, $\lim_{n \rightarrow \infty} \dfrac{1}{n} = 0$, but $\sum_{n = 1}^{\infty} \dfrac{1}{n}$ diverges.
Last but not least, contrapositive of it is very handy when it comes to deciding whether a series diverges. Note that if $\lim_{n \rightarrow \infty} a_n \neq 0$, then $\sum_{n=1}^{\infty} a_n$ diverges. For instance, $\sum_{n=1}^{\infty} \cos\left(\dfrac{1}{n}\right)$ diverges because $\lim_{n \rightarrow \infty} \cos\left(\dfrac{1}{n}\right) \neq 0$.
As similar to the sequences, series also has tail. Rigorously,
$\textbf{\small Lemma 1.3.:}$ The series $\sum_{n=1}^{\infty} a_n$ converges if and only if $\sum_{n=M}^{\infty} a_n$ converges for any natural number $M$.
Now, we will define a very fundamental, so-called geometric series that is useful from geometry to functional analysis.
Geometric Series
$\textbf{\small Definition 1.20.:} $ (Geometric Series) An infinite series
is called geometric series. $r$ is called common ratio. Let us investigate the properties.
If $\vert r \vert < 1$, then $\lim_{n \rightarrow \infty} r^n = 0$. Take partial sum $S_n = a_1 + a_2 + a_3 + \dots + a_n = a + ar + ar^2 + \dots + ar^{n-1}$. Also observe that, $r\cdot S_n = ar + ar^2 + ar^3 + \dots + ar^{n}$. Thus,
By definition, we know if partial sum $S_n$ converges to a limit, then the series $\sum ar^{n-1}$ also converges. Hence, it is enough to evaluate the limit of the sequence $S_n$.
So, we conclude that the series $\sum_{n=1}^{\infty} ar^{n-1}$ converges. Geometric series diverge for the cases where $\vert r \vert \geq 1$ and $\vert r \vert = 1$.
Let us do two examples:
$\textbf{\small Example:} $ Determine whether the following series is convergent or divergent.
$\textbf{\small Solution:} $ Rearrange the series as
$\textbf{\small Example:} $ Determine whether the following series is convergent or divergent.
$\textbf{\small Solution:} $ It is trivial to see that $\dfrac{1}{4} < 1$ and hence the series converges. Furthermore, being $a=5$ and $r=\dfrac{1}{4}$ would give us:
For now, let us call it a post. In the next section we will talk about telescoping series, algebraic properties of series and other convergence tests. Take care!