Real Power Series#
Definition: Real Power Series
A real power series is an expression of the form
where \((a_n)_{n \in \mathcal{D}}\) is a real sequence and \(c \in \mathbb{R}\).
Intuition
By plugging in a concrete value \(x^\ast \in \mathbb{R}\) for \(x\), one obtains the real series
Convergence#
Definition: Convergence and Divergence of Power Series
Let \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x-c)^n\) be a real power series and let \(z_0 \in \mathbb{R}\).
We say that \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x-c)^n\)
- is convergent or converges for \(z_0\) if the resultant real series \(\sum_{n \in \mathcal{D}} a_n (z_0 - c)^n\) is convergent;
- is absolutely convergent or converges absolutely for \(z_0\) if the resultant real series \(\sum_{n \in \mathcal{D}} a_n (z_0 - c)^n\) is absolutely convergent;
- is divergent or diverges for \(z_0\) if the resultant real series \(\sum_{n \in \mathcal{D}} a_n (z_0 - c)^n\) is divergent;
Theorem: Convergence Intervals
If the real power series \(\sum_{n \in \mathcal{D}} a_n (x-c)^n\) converges for \(w \in \mathbb{R}\), then it also converges for all \(w' \in \mathbb{R}\) with \(|w' - c| \lt |w - c|\).
Proof
Since the series \(\sum_{n \in \mathcal{D}} a_n (w-c)^n\) converges, we know that the limit of \(a_n (w - c)^n\) must be \(0\):
Since \(a_n (w - c)^n\) is convergent, it must be bounded, i.e. there exists \(B \in \mathbb{R}_{\gt 0}\) such that
for all \(n \in \mathcal{D}\).
For \(w'\) we have
Since \(|a_n (w-c)^n| \le B\) for all \(n\in\mathcal{D}\), we know that
for all \(n \in \mathcal{D}\). Let \(q = \left| \frac{w'-c}{w-c}\right|\), i.e.
Since \(|w'-c| \lt |{w-c}|\), we know that \(q \lt 1\). Therefore, \(\sum_{n \in \mathcal{D}} B q^n\) is convergent (\(\sum_{n\in\mathcal{D}}q^n\) is a geometric series). The convergence of \(\sum_{n \in \mathcal{D}} a_n(w'-c)^n\) is thus guaranteed by the majorant convergence criterion.
Theorem: Radius of Convergence
For each real power series \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x - c)^n\), there exists some \(r \in \mathbb{R}_{\ge 0} \cup \{\infty\}\) such that:
- If \(r = 0\), then the power series converges only for \(x = c\).
- If \(r \in (0; \infty)\), then the power series converges absolutely for all \(x \in \mathbb{R}\) with \(|x - c| \lt r\) and diverges for all \(x \in \mathbb{R}\) with \(|x - c| \gt r\). The behavior for \(x \in \mathbb{R}\) with \(|x| = r\) must be examined separately.
- If \(r = \infty\), then the power series converges absolutely for all \(x \in \mathbb{R}\).
Definition: Radius of Convergence
We call \(r\) the radius of convergence.
Proof
TODO
Theorem: Radius of Convergence via Quotient Limit
Let \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x - c)^n\) be a real power series.
If the limit of \(\left|\frac{a_n}{a_{n+1}}\right|\) exists or is \(\infty\), then it is equal to the radius of convergence \(r\):
Proof
TODO
Example: \(\sum_{n = 0}^{\infty} x^n\)
We examine the real power series
To see that it is indeed a real power series, we rewrite it a bit:
We thus have the following:
Therefore, \(\sum_{n = 0}^{\infty} x^n\) is absolutely convergent when \(|x| \lt 1\) and divergent when \(|x| \gt 1\). Moreover, we have noticed that \(\sum_{n = 0}^{\infty} x^n\) is a geometric series for each \(x \in \mathbb{R}\). Therefore, we know that it is also divergent when \(|x| = 1\).
Example: \(\sum_{n=1}\frac{1}{n}x^n\)
We examine the following real power series:
To see that it is indeed a real power series, we can rewrite it a bit:
We therefore have:
For \(x = -1\), we have convergence by the Leibniz convergence criterion. For \(x = 1\), we get the harmonic series which is divergent.
Example: \(\sum_{n = 1}^{\infty} \frac{1}{n^2} x^n\)
We examine the following real power series:
To see that it is indeed a real power series, we can rewrite it a bit:
We therefore have:
For \(x = \pm 1\), the power series is absolutely convergent by the majorant convergence criterion, since \(\sum_{n = 1}^{\infty} \frac{1}{n^2}\) is convergent.
Cauchy-Hadamard Theorem
Let \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x - c)^n\) be a real power series.
The limit superior of the sequence \(\sqrt[n]{|a_n|}\) can be used to find the radius of convergence:
- If \(\limsup_{n\to \infty} \sqrt[n]{|a_n|} = 0\), then \(R = \infty\).
- If \(\limsup_{n\to \infty} \sqrt[n]{|a_n|} \in (0; \infty)\), then \(R = \frac{1}{\limsup_{n\to \infty} \sqrt[n]{|a_n|}}\).
- If \(\limsup_{n\to \infty} \sqrt[n]{|a_n|} = \infty\), then \(R = 0\).
Proof
TODO
Example: \(\sum_{k = 0}^{\infty} x^{k^2}\)
We examine the following real power series:
To see that this is indeed a real power series, we need to rewrite it a bit:
Therefore, we have:
The sequence \(\sqrt[n]{|a_n|}\) is divergent, but its limit superior is \(1\):
Therefore, the radius of convergence is \(1\):
Theorem: Radius of Convergence via \(n\)-th Root Limit
Let \(\displaystyle \sum_{n \in \mathcal{D}} a_n (x - c)^n\) be a real power series.
If the limit of \(\frac{1}{\sqrt[n]{|a_n|}}\) exists or is \(\infty\), then it is equal to the radius of convergence \(r\):
Proof
TODO