Why are analyticity and convergence related in complex analysis?

In summary, the residue theorem in complex analysis states that the a_n series of the Laurent Series is zero by Cauchy's Theorem, due to its analyticity. This relationship between convergence and analyticity is further explained through the epsilon-delta definitions of limit and convergence. The proof of the differentiability of the power series involves showing that it converges uniformly on any closed ball within its radius of convergence, and that the derivative of the series also converges to the derivative of the limit function. Additionally, the partial sums of the series are also differentiable due to being polynomials.
  • #1
dm4b
363
4
TL;DR Summary
From Proof of Residue Theorem in Mary Boas' Text
Hello,

I am currently reading about the Residue Theorem in complex analysis. As a part of the proof, Mary Boas' text states how the a_n series of the Laurent Series is zero by Cauchy's Theorem, since this part of the Series is analytic. This appears to then be related to convergence of the a_n series.

I suppose convergence and analyticity seem to go together on an intuitive level, but I am having a hard time with the details of why this is so, especially as to how it would relate back to the Cauchy-Riemann conditions for analyticity.

Can anyone offer further insights here for me?

Thanks!
dm4b
 
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  • #2
Check out the epsilon-delta definitions of limit and convergence.
 
  • #3
I'm not sure what you mean by the a_n series but if you mean the part with positive powers then the proof that the power series is differentiable starts with
- notice that on any closed ball strictly inside the radius of conference, the power series converges uniformly
- if ##f_n## converges to ##f## uniformly in a region, then the derivative passes through the limit, i.e. ##f_n'## converges to ##f'##, and in particular ##f## is differentiable.
- the partial sums are all polynomials so are differentiable.
 

1. What is analyticity and convergence?

Analyticity and convergence are two important concepts in mathematical analysis. Analyticity refers to the smoothness and differentiability of a function, while convergence refers to the behavior of a sequence or series as its terms approach a specific value or limit.

2. How are analyticity and convergence related?

Analyticity and convergence are closely related, as a function must be analytic in order for its sequence of derivatives to converge. Additionally, the convergence of a sequence or series can also determine the analyticity of a function.

3. What is the difference between pointwise and uniform convergence?

Pointwise convergence refers to the behavior of a sequence or series at each individual point in its domain, while uniform convergence refers to the behavior of the entire sequence or series as a whole. Uniform convergence is stronger than pointwise convergence, as it guarantees that the sequence or series is bounded and that the limit function is continuous.

4. How can I determine if a sequence or series is convergent?

There are several tests that can be used to determine the convergence of a sequence or series, such as the ratio test, the root test, and the comparison test. These tests analyze the behavior of the terms in the sequence or series and can determine whether they approach a specific value or limit.

5. Why is analyticity and convergence important in scientific research?

Analyticity and convergence are important concepts in scientific research because they allow us to analyze and understand the behavior of functions and sequences in various fields, such as physics, engineering, and economics. They also provide a framework for solving complex problems and making predictions based on mathematical models.

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