Complex Sequences#
Definition: Complex Sequence
A complex sequence is a sequence of complex numbers.
Theorem: Equality of Complex Sequences
Let \((a_n)_{n \in \mathcal{D}}\) and \((b_n)_{n \in \mathcal{D}}\) be infinite complex sequences.
If there exist complex power series \(\sum_{n \in \mathcal{D}} a_n (x - c)^n\) and \(\sum_{n \in \mathcal{D}} b_n (x - c)^n\) which have the same center \(c \in \mathbb{C}\) and for which there is some \(r \gt 0\) such that both series converge to the same number, i.e.
when when \(|x - c| \lt r\), then \(a_n = b_n\) for all \(n \in \mathcal{D}\).
Proof
TODO
Convergence#
Definition: Convergence
A complex sequence \((z_n)_{n \in \mathcal{D}}\) converges to the limit \(L \in \mathbb{C}\) if and only if for each \(\varepsilon \gt 0\), there exists some \(N \in \mathcal{D}\) such that
Notation
The most common notation is
In text, one also writes "\(z_n \to L\) as \(n \to \infty\)" or just "\(z_n \to L\)". Sometimes, one might also encounter \(z_n \underset{n \to \infty}{\longrightarrow} L\) and \(z_n \overset{n \to \infty}{\longrightarrow} L\).
Theorem: Uniqueness of the Limit
The limit of a convergent complex sequence is unique - if \(\{z_n\}\) converges to both \(L\) and \(M\), then \(L = M\).
Proof
Pick some arbitrary \(\varepsilon \gt 0\).
Since \(\{a_n\} \to L\), by definition, there exists some integer \(N_L\) such that
Similarly, since \(\{a_n\} \to M\), there exists some integer \(N_M\) such that
Now, let \(N = \max\{N_L, N_M\}\). For all \(n \ge N\), both of the aforementioned inequalities hold. Therefore, for all \(n \ge N\), we have
Therefore,
So far, the argument does not actually depend on the particular choice of \(\varepsilon\) and is thus true for every \(\varepsilon \gt 0\). This means that \(\frac{1}{2}|L - M|\) is smaller that every positive real number. This is only possible if \(\frac{1}{2}|L - M|\) is zero which is in turn only possible if \(|L - M| = 0\). Therefore, \(L = M\).
Theorem: Complex Convergence via Real Convergence
A complex sequence \((z_n)_{n \in \mathcal{D}}\) converges to \(L \in \mathbb{C}\) the sequence \(|z_n - L|\) converges to \(0\):
Proof
TODO
Example: \(z_n = \frac{1}{2n} + \frac{n}{n+1}\mathrm{i}\)
We examine the following complex sequence \((z_n)_{n \in \mathbb{N}}\):
Since \(\frac{1}{2n} \to 0\) and \(\frac{n}{n+1} \to 1\), we see that \((z_n)\) probably converges to \(\mathrm{i}\). To show this, we examine \(z_n - \mathrm{i}\):
We now examine the limit of the absolute values:
Therefore, \((z_n)\) converges to \(\mathrm{i}\).
Theorem: Component-Wise Convergence
A complex sequence \((z_n)_{n \in \mathcal{D}}\) converges to \(L \in \mathbb{C}\) if and only if the sequences of its real part and its imaginary part converge to the real part and imaginary part of \(L\), respectively.
Proof
TODO
Example: \(z_n = \left(1 - \frac{3}{n}\right)^n + \mathrm{i}\frac{2n^2+3n+5}{n^2+1}\)
We examine the following complex sequence \((z_n)_{n\in\mathbb{N}}\):
Since \(\lim_{n\to\infty} \left(1 - \frac{3}{n}\right)^n = \mathrm{e}^{-3}\) and \(\lim_{n\to\infty} \frac{2n^2+3n+5}{n^2+1} = 2\), we know that \((z_n)_{n\to\mathcal{N}}\) converges to \(\mathrm{e}^{-3} + 2\mathrm{i}\):
Example: \(z_n = \frac{5}{n} + (-1)^n\mathrm{i}\)
We examine the following complex sequence \((z_n)_{n\in\mathbb{N}}\):
Since \(\Im(z_n) = (-1)^n\) diverges, we know that \((z_n)_{n \to\mathbb{N}}\) must also diverge.
Theorem: Cauchy Sequences
A complex sequence \((z_n)_{n \in \mathcal{D}}\) is convergent if and only if for each \(\varepsilon \gt 0\) there exists some \(N \in \mathcal{D}\) such that
Proof
TODO
Note
Sequences for which the above holds, i.e. convergent sequences, are also known as Cauchy sequences.
Theorem: Boundedness of Convergent Sequences
Every convergent complex sequence is bounded.
Proof
Suppose that \(\{a_n\}\) converges to some \(L \in \mathbb{C}\). Then, by definition, for each \(\varepsilon \gt 0\), there exists some integer \(N\) such that
Choose \(\varepsilon = 1\). The actual choice is irrelevant, it will just result in a different bound. Then,
Let's look at the absolute value of \(a_n\):
Using the triangle inequality, we get
For all \(n \ge N\),
and so \(|a_n| \lt 1 + |L|\) for all \(n \ge N\). This means that the modulus of all sequence terms from the \(N\)-th one onwards is less than \(1 + |L|\). Amongst the first \(N-1\) terms of the sequence, choose the one whose modulus \(M\) is greatest. The moduli of the first \(N-1\) terms are thus all less than or equal to \(M\). Essentially, we have
- \(|a_n| \le M\) for every \(n \lt N\);
- \(|a_n| \lt 1 + |L|\) for every \(n \ge N\).
Let \(B = \max\{M, 1 + |L|\}\). Therefore, \(|a_n| \le B\) for every integer \(n\) and so \(a_n\) is bounded.
Theorem: Convergence to Zero
A complex sequence \((z_n)_{n \in \mathcal{D}}\) converges to \(0\) if and only if the real sequence \((|z_n|)_{n \in \mathcal{D}}\) of its absolute values converges to \(0\).
Proof
TODO
Theorem
Let \(\{a_n\}\) and \(\{b_n\}\) be complex sequences.
If \(\{a_n\}\) converges to zero and there exists some integer \(N\) such that \(|b_n| \le |a_n|\) for all \(n \ge N\), then \(\{b_n\}\) also converges to zero.
Proof
TODO
Theorem: Limit Arithmetic
If \((a_n)_{n\in\mathcal{D}}\) and \((b_n)_{n\in\mathcal{D}}\) are both convergent complex sequences, then
Proof
Let \(A = \displaystyle \lim_{n \to \infty} a_n\) and \(B = \displaystyle \lim_{n \to \infty} b_n\).
Proof of (1):
We have to prove that for each \(\varepsilon \gt 0\), there exists some integer \(N\) such that
The case of \(\alpha = \beta = 0\) is trivial, since then \(|\alpha a_n + \beta b_n - (\alpha A + \beta B)|\) is always zero and is thus smaller than all \(\varepsilon \gt 0\). As for the existence of \(N\) - not only does such an integer \(N\) exist, but there are actually infinitely many such integers, since the inequality holds irrespective of \(N\).
If \(\alpha\) and \(\beta\) are not zero, choose some arbitrary \(\varepsilon' \gt 0\). Since \(a_n \to A\) and \(b_n \to B\), there exist integers \(N_A\) and \(N_B\) such that
$$
\begin{aligned}
|a_n - A| \lt \varepsilon' \qquad \forall n \ge N_A \
|b_n - B| \lt \varepsilon' \qquad \forall n \ge N_B
\end{aligned}
$$
Let \(N = \max \{N_A, N_B\}\). Then both inequalities hold for every \(n \ge N\). Now, we look at
By the triangle inequality, we obtain
For every \(n \ge N\), we know that \(|a_n - A| \lt \varepsilon'\) and \(|b_n - B| \lt \varepsilon'\) and so we get
Since \(|\alpha (a_n - A) + \beta (b_n - B)| \le |\alpha| |a_n - A| + |\beta| |b_n - B|\) and \(|\alpha a_n + \beta b_n - (\alpha A + \beta B)| = |\alpha (a_n - A) + \beta (b_n - B)|\), we get
So far, the argument does not depend on the choice of \(\varepsilon'\) which means that it must be true for all \(\varepsilon' \gt 0\). Thus, we have proven that for each \(\varepsilon = |\alpha| \varepsilon' + |\beta| \varepsilon'\), there exists some integer, namely \(N\), such that
which is what we set out to prove.
Proof of (2):
We have to prove that for each \(\varepsilon \gt 0\), there exists some integer \(N\) such that
Choose some arbitrary \(\varepsilon' \gt 0\). Since \(a_n \to A\) and \(b_n \to B\), there exist integers \(N_A\) and \(N_B\) such that
$$
\begin{aligned}
&|a_n - A| \lt \varepsilon' \qquad \forall n \ge N_A \
&|b_n - B| \lt \varepsilon' \qquad \forall n \ge N_B.
\end{aligned}
$$
Let \(N = \max \{N_A, N_B\}\). Then both inequalities hold for all \(n \ge N\). We transform the expression \(|a_n \cdot b_n - A \cdot B|\) a bit:
Using the triangle inequality, we obtain
which is equivalent to
For all \(n \ge N\),
which in turn means that, for all \(n \ge N\),
Recall that every convergent sequence is bounded. This means that there exists some \(B \gt 0\) and some integer \(\mathcal{N}\) such that \(|b_n| \le B\) for all \(n \ge \mathcal{N}\). Therefore,
Set \(\varepsilon = B \cdot \varepsilon' + |A| \cdot \varepsilon'\). Therefore,
It is obvious that \(\varepsilon\) can be any positive real number. Moreover, since the argument so far does not depend on any particular choice of \(\varepsilon\), we know the argument holds for all \(\varepsilon \gt 0\). We have thus proven that for each \(\varepsilon \gt 0\), there exists some integer, namely \(\mathcal{N}\), such that
which is what we set out to show.
Proof of (3):
TODO
Proof of (4):
TODO
Proof of (5):
TODO