Series Rearragment
Created on July 12, 2023
Written by Some author
Read time: 5 minutes
Summary: The theorem states that for a series of real numbers that converges but not absolutely, there exists a rearrangement of the series with partial sums converging to given limits. The proof involves constructing sequences and subsequences to show convergence to the desired limits. Another theorem states that if the series converges absolutely, then every rearrangement of the series converges to the same sum.
$\textbf{Theorem}$ Let $\sum a_n$ be a series of real numbers which converges, but not absolutely. If $-\infty \leq \alpha \leq \beta \leq \infty$,
then there exists a rearrangement $\sum a_n^{\prime}$ with partial sums $s_n^{\prime}$ such that $\liminf _{n \rightarrow \infty}s_n^{\prime}=\alpha, \quad \limsup _{n \rightarrow \infty} s_n^{\prime}=\beta .$
Proof. First let's consider any arbitrary sequences $\{c_n\}$ and $\{d_n\}$ with the following: $c_n \ge 0$ and $d_n \ge 0$
and $c_n - d_n =a_n$ and $c_n +d_n = |a_n|$. Then we can claim that $\sum c_n$ and $\sum d_n$ are both divergent.
It's because if $\sum c_n$ and $\sum d_n$ converges, then $\sum c_n+d_n = \sum |a_n|$ converges,
which contradicts to $\sum a_n$ be a series of real numbers which does not converges absolutely;
if $\sum c_n$ diverges and $\sum d_n$ converges, then $\sum a_n +\sum d_n = \sum a_n + d_n = \sum c_n$, which means $c_n$ converges,
contradicting to the assumption; if $\sum c_n$ converges and $\sum d_n$ diverges, we will still have the same thing.
Now, let us define $C_n$ to be zero if $a_n \le 0$ and $C_n$ to be $a_n$ if $a_n >0$ and define $D_n$ to be zero if $a_n \ge 0$ and $D_n$ to be $-a_n$ if $a_n <0$. Then $C_n - D_n$ will be $a_n$
and $C_n +D_n$ will be the absolute value of $a_n$. So $C_n$ diverges and also $D_n$ diverges.
Let's further define $g_n$ to be the smallest i where $C_i >0$ and $i > g_{n-1}$ and $h_n$ to be be the smallest $i$ where $D_i>0$ and $i > h_{n-1}$ and $g_{-1}=h_{-1}=-1.$
Then $C_{g_i}$ and $D_{h_i}$ will be positive real numbers excluding the zero terms from $C_n$ and $D_n$ and also their sum diverges. Since both are positive, we will have
$C_{g_i}$ will go arbitrary large and $D_{h_i}$ will go arbitrary large.
Now, let's consider two sequences $\alpha_n$ goes to $\alpha$ and $\beta_n$ goes to $\beta$. We also assume that $\beta_1>0$ and $\alpha_n < \beta_{n+1}$ for arbitrary $n$. We can construct the following alternating summation.
Define $f(n), g(n)$ as the following with integer $n \ge 1$, in a
$$f(n) = \begin{cases} x & n \text{ is odd} \text{ and } g(n-1) + \sum_{i=f(n-2)}^{x} C_{g_i} > \beta_{\frac{n+1}{2}} \text{ and } x \text{ is the smallest} \\ x & n \text{ is even} \text{ and } g(n-1) - \sum_{i=f(n-2)}^{x} D_{h_i} < \alpha_{\frac{n}{2}} \text{ and } x \text{ is the smallest} \end{cases}$$
$$g(n) = \begin{cases} g(n-1) + \sum_{i=f(n-2)}^{f(n)} C_{g_i} & n \text{ is odd} \\ g(n-1) - \sum_{i=f(n-2)}^{f(n)} D_{h_i} & n \text{ is even} \end{cases}$$
Then we will claim the sequence of $g(n)$ forms a sequence where $$\liminf_{n\to \infty} g(n) = \alpha \text{ and} \limsup_{n\to \infty} g(n) = \beta.$$
When $n$ is odd, we will have $g(n) = g(n-1) + \sum_{i=f(n-2)}^{f(n)} C_{g_i} > \beta_{(n+1)/2}$ and $g(n-1)+\sum_{i=f(n-2)}^{f(n)-1} C_{g_i}$ will either be $g(n-1)$ which is less than $\alpha_{\frac{n-1}{2}} = \alpha_{\frac{n+1}{2}-1} < \beta_{\frac{n+1}{2}}$, or
$g(n-1) +\sum_{i=f(n-2)}^{f(n)-1} C_{g_i} $ which is less than or equal to $\beta_{\frac{n+1}{2}}$, which is by definition. So $0<g(n) - \beta_{\frac{n+1}{2}} =g(n-1) +\sum_{i=f(n-2)}^{f(n)-1}C_{g_i} - \beta_{\frac{n+1}{2}}+ C_{g_i} \le C_{g_{f(n)}},$ which means $|g(n) - \beta_{\frac{n+1}{2}}|\le C_{g_{f(n)}}.$
When $n$ is even, we will have $g(n)= g(n-1) - \sum_{i=f(n-2)}^{f(n)} D_{h_i} < \alpha_{n/2}$ and $g(n-1)-\sum_{i=f(n-2)}^{f(n)-1}D_{h_i} \ge \alpha_{n/2}$. And so $0>g(n) - \alpha_{n/2}=g(n-1)-\sum_{i=f(n-2)}^{f(n)-1}D_{h_i} -a_{n/2}-D_{h_{f(n)}} \ge- D_{h_{f(n)}}$, which means $|g(n) - \alpha_{n/2}| \le D_{h_{f(n)}}$
By sending $n$ to infinity, we will have $C_{g_{f(n)}} \to 0$ and $D_{h_{f(n)}} \to 0$, which are sub-terms from $\{a_n\}_n$ since we require $\sum a_n$ converges. And so there's a subsequence of $\{g(n)\}$, such that $g(n) \to \beta$ and there's a subsequence of $\{g(n)\}$
such that $g(n) \to \alpha.$
To show that there's no subsequence that has a limit that's either less than $\alpha$ or greater than $\beta$. We can showcase one example of no sub-sequential limit less than $\alpha$ and the proof that no limit is greater than or equal to $\beta$ can be implemented in a similar way.
Assume $\gamma < \alpha$ is a subsequence limit of $g(n)$. Since it's a subsequence limit, that means there is a function $f(n): \mathbb{N} \to \mathbb{N}$, such that for every $\epsilon>0$, we will have $\mathcal N$ such for every $n> \mathcal N$, $|g(f(n)) - \gamma|< \epsilon$. Since we have when $n$ is odd, we will have $g(n) > \beta_{\frac{n+1}{2}}$, which is going to $\beta$ and greater than $a_{\frac{n+1}{2}-1},$ we can assert that there's large enough $M$ such that $n>M$, then $f(n)$ are all even with small enough $\epsilon$, but we know that when $n$ is even, we have a unique limit that is $\alpha$. Therefore, we will have a contradiction.
$\textbf{Theorem}$ If $\sum a_n$ is a series of complex numbers which converges absolutely, then every rearrangement of $\sum a_n$ converges, and they all converge to the same sum.
Proof. Since $a_n$ converges absolutely, we will have for every $\epsilon >0$, there's an $N$ such that for every $m>n>N, \sum_{i=n}^m |a_i| < \epsilon.$ In fact, for any $g: \mathbb{N} \leftrightarrow \mathbb{N}_{\ge N+1}$, we will have $\sum_{i=1}^{k} |a_i| <\epsilon$ for any $k$.
Then, for a rearrangement of the series, we will have the rearrangement function as $f(n) : \mathbb{N} \leftrightarrow \mathbb{N}$
we take $N' = 1+\max_{1\le i \le N}f^{-1}(i)$, then we will have for every $n>m >N'$, $\left| \sum_{i=m}^n a_{f(i)} \right| = \sum_{i=m}^n |a_{f(i)}| < \epsilon. $ Therefore, any rearrangement will converges. And it's not hard to see they converges to the same sum.