Complex Numbers and Real Taylor Series

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Discussion Overview

The discussion revolves around the relationship between complex singularities and the radius of convergence of real Taylor series. Participants explore intuitive explanations for why complex singularities can influence the convergence of real functions that do not exhibit singularities in the real domain. The conversation includes examples and mathematical reasoning related to power series and their convergence properties.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant expresses fascination with how complex singularities affect the radius of convergence of real Taylor series, seeking intuitive explanations beyond rigorous mathematics.
  • Another participant suggests that an example could clarify the initial query, referencing the geometric series as a potential connection.
  • A participant explains that if a series with real coefficients converges for some complex value, it will converge for all values within a certain radius, which is limited by the nearest singularity.
  • One participant provides a specific example of the function \( f(x) = \frac{1}{1+x^2} \) to illustrate how it has a finite radius of convergence despite having no real singularities, attributing this to its complex singularities at \( i \) and \( -i \).
  • Another participant acknowledges understanding the "circle of convergence" in the complex plane but seeks further intuitive insights.
  • Some participants argue that complex singularities may not be necessary for understanding convergence, providing examples of series that converge based on real values alone.
  • One participant summarizes the discussion by explaining the conditions under which power series converge, including the distinction between absolute and conditional convergence.
  • There is a mention of the likelihood of divergence at certain points on the circle of convergence, though the specifics of any theorem related to this are not recalled.

Areas of Agreement / Disagreement

Participants express differing views on the necessity of complex singularities for explaining convergence. While some argue that they are essential, others believe that real-valued explanations suffice. The discussion remains unresolved regarding the need for complex singularities in understanding the radius of convergence.

Contextual Notes

Some participants reference mathematical concepts such as absolute and conditional convergence, but the discussion does not resolve the implications of these concepts in relation to the original question about intuitive explanations.

FranzS
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TL;DR
How complex singularities affect Taylor series
Hello,

I've always been fascinated by the fact that even strictly-complex singularities determine the radius of convergence of the (real) Taylor series of a (real) function that doesn't have any singularities in ##\mathbb{R}##.
Can anyone provide an intuitive explanation besides the rigorous math behind this (assuming the rigorous math is not intuitive, but I may be wrong)?
Thanks!
 
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I am not sure I understand what you mean. An example might be helpful here.

In general, there is "the trick with the geometric series"
\begin{align*}\dfrac{1}{\zeta – z}&=\dfrac{1}{(\zeta -z_0)-(z-z_0)}=\dfrac{1}{\zeta -z_0}\cdot \dfrac{1}{1-\dfrac{z-z_0}{\zeta-z_0}}=\dfrac{1}{\zeta -z_0}\cdot \sum_{n=0}^\infty \left(\dfrac{z-z_0}{\zeta-z_0}\right)^n\end{align*}
that connects all these terms. But as I said, I'm not sure whether you meant this.

Source: https://www.physicsforums.com/insights/an-overview-of-complex-differentiation-and-integration/
 
If a series ##a_0+a_1x+a_2x^2+\cdots## with real coefficients converges for some ##x=r##, then it will converge for all ##|z|<r##. Here ##z## can be complex. So if you consider it for complex values and if that function has a singularity at ##z_0##, then clearly the radius of convergence of the real series cannot be more than ##|z_0|##.
 
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Thanks for your replies. Actually, using a classic specific example, what I meant is: how does a real function like...
$$
f(x)=\frac{1}{1+x^2}
$$
... have a MacLaurin series ##m(x), \ x \in \mathbb{R}## with finite radius of convergence when it has no real singularities? Why do complex singularities (in this specific case, strictly imaginary singularities ##i## and ##-i##) affect the convergence of the real MacLaurin power series? Again, I'm interested in possible intuitive explanations.
 
By the way, I have clear in mind the "circle of convergence" in the complex plane, I was just wondering if there were some other sort of intuitive explanation.
 
I don't think you need the complex singularities for an explanation. We have a series ##f(x)=1-x^2+x^4+O(x^6)## at the origin. It is obvious that ##|x|<1## has to hold for convergence.

If you insist on complex numbers, then @martinbn 's post #3 explains it.

The link has an example of how to integrate this with using residues.
 
fresh_42 said:
I don't think you need the complex singularities for an explanation. We have a series ##f(x)=1-x^2+x^4+O(x^6)## at the origin. It is obvious that ##|x|<1## has to hold for convergence.

If you insist on complex numbers, then @martinbn 's post #3 explains it.

The link has an example of how to integrate this with using residues.
This is already a very good explanation to me, thank you
 
Why is what I wrote not what you were looking for!
 
martinbn said:
Why is what I wrote not what you were looking for!
It was a backward explanation to me, so to speak. In @fresh_42 specific example it was clear that the power series diverges for ##x \geq 1##. Sorry
 
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I'm just summarizing what has been said but maybe rewording it helps. I'm going to just use power series around 0 for notational simplicity.

Suppose ##\sum a_n R^n## converges for some radius ##R##. Then ##|a_n R^n|## must converge to 0 and hence it's eventually bounded by 1. Then if n is large and ##r<R##, ##|a_n r^n| = |a_nR^n| |\frac{r}{R}|^n < (r/R)^n##. So by the comparison test with a geometric series if the series converges for some radius R it converges absolutely on the entire complex plane inside of that radius.

Now consider the maximum value of ##R## for which it converges absolutely for all ##r<R##. There are two possibilities: one is it converges absolutely for ##R## also. ##x^n/n^2## is an example of this, it has a radius of convergence of 1 but converges absolutely when ##|x|##=1.


The other possibility is it doesn't converge absolutely. Then it might converge conditionally for some choices of ##x##. The interesting question is can it converge conditionally for every value of ##x## even though it doesn't converge absolutely?

And the answer is at least usually no, that would be a crazy coincidence. Most simple examples you can just pick a value of x in ##\mathbb{C}## which forces all the terms to be the same sign and hence it obviously must fail to converge. I don't remember if there's a theorem that guarantees it must fail to converge at some point on the circle of radius ##R##, or if it's just very likely in examples that people write down.
 
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