Complex Numbers and Real Taylor Series

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SUMMARY

The discussion centers on the relationship between complex singularities and the radius of convergence of real Taylor series, specifically using the function \( f(x) = \frac{1}{1+x^2} \) as an example. Participants clarify that even when a real function lacks singularities in \( \mathbb{R} \), complex singularities (like \( i \) and \( -i \)) can still influence the convergence of its Maclaurin series. The conversation highlights the importance of understanding the geometric series and the comparison test for power series convergence within the complex plane.

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  • Understanding of Taylor series and Maclaurin series
  • Familiarity with complex analysis concepts, particularly singularities
  • Knowledge of convergence tests for series, including the comparison test
  • Basic grasp of geometric series and their properties
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  • Learn about the geometric series and its applications in complex analysis
  • Explore the comparison test for series convergence in depth
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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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