Complex Analysis: Series Convergence

In summary, the problem asks to show that the formal quotient of two series, f(z) and g(z), actually converges to the quotient of the two series for all values of z within a certain radius. This can be achieved by manipulating the partial sums of the product of g(z) and the formal quotient, and comparing it to the partial sums of f(z). However, there may be some roadblocks along the way, and it may be helpful to consider the special case of all positive real coefficients and variables before continuing.
  • #1
nateHI
146
4

Homework Statement


For ##|z-a|<r## let ##f(z)=\sum_{n=0}^{\infty}a_n (z-a)^n##. Let ##g(z)=\sum_{n=0}^{\infty}b_n(z-a)^n##. Assume ##g(z)## is nonzero for ##|z-a|<r##. Then ##b_0## is not zero.
Define ##c_0=a_0/b_0## and, inductively for ##n>0##, define
$$
c_n=(a_n - \sum_{j=0}^{n-1} c_j b_{n-j})/b_0
$$

Note that the definition of ##c_n## implies that ##a_n=\sum_{j=0}^{n} c_j b_{n-j}## (it is equivalent to say ##c_n## solves this last equality)

So, we have a formal series (no claim yet on converging to ##f/g##), ##\sum_{n=0}^{\infty} c_n (z-a)^n##. Call this the formal quotient.

Take the formal quotient for granted. Prove that the formal quotient actually converges to ##f/g## for all ##|z-a|<r##

Homework Equations

The Attempt at a Solution


I'm stumped. Any ideas on how to get started showing this?[/B]
 
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  • #2
What does "the formal quotient converges" (for a given value of z) mean ? (this is not a trick question)
 
  • #3
The limit of the partial sums converge?
 
  • #4
Right. So did you have a look at the partial sums?
Hint: don't think quotient, think product.
 
  • #5
wabbit said:
Right. So did you have a look at the partial sums?
Hint: don't think quotient, think product.
Let ##q_N## be the partial sum of the formal quotient given in the problem and let ##f_N##, ##g_N## and ##r_N## be the partial sums of the taylor series for f,g and the remainder of their quotient respectively. Then I want to show
$$\lim_{N\to\infty}(f_N=q_Ng_N+r_N)<\infty$$?

Say I can show that everything to to the right of the equal sign inside the limit converges. That just shows that ##f_N## converges which I already know. I'm missing something.
 
  • #6
What you need to do is look at the actual expressions for the partial sums. Write down the product of the partial sums for g an q and compare to the partial sum for f. Use the same number of terms for q and g but feel free to vary the number for f.

Once you've done that it will look like almost a solution but not quite, and you're probably going to hit a roadblock, so I'll give you another hint to use then:
Think about the radius of convergence.
 
  • #7
I get
##f_N=q_Ng_N=##
##\implies \sum_{n=0}^N a_n(z-a)^n=\sum_{n=0}^N c_n(z-a)^n \sum_{n=0}^N b_n(z-a)^n##
##\implies \sum_{n=0}^N a_n(z-a)^n=\sum_{n=0}^N (a_n/b_0-\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0})(z-a)^n \sum_{n=0}^N b_n(z-a)^n##
##\implies \sum_{n=0}^N a_n(z-a)^n=\sum_{n=0}^N \frac{a_n}{b_0}(z-a)^n-\sum_{n=0}^N \bigg(\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0}\bigg)(z-a)^n \sum_{n=0}^N b_n(z-a)^n##
##\implies \sum_{n=0}^N a_n(z-a)^n=f_N/b_0-\sum_{n=0}^N \bigg(\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0}\bigg)(z-a)^n \sum_{n=0}^N b_n(z-a)^n##
and this ##\sum_{n=0}^N \bigg(\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0}\bigg)(z-a)^n## almost looks like ##q_Ng_N##
 
  • #8
OK you are getting closer, this is the sort of manipulation you need to do to start.
A few minor details just to make things easier. :
- let's take a=0, it just makes the formulas simpler with nothing really lost and you can easily generalize at the end.
- just work with the q.g product, leave aside the "f=" part
- Don't use the formula expressing c_n, it's easier to just use the one for a_n=...
These are not so important, its just for clarity really.

Now one that is important : be careful with the ranges of your indices. The equation you arrive at isn't actually correct because of that.

So. Let's start again. We'll call the partial sums F(N), G(N) and Q(N) with the obvious notations.

You want to compute the product G(N)Q(N). Expand that and compare it with both F(N) and F(2N). (In your post you are trying to prove F(N)=G(N)Q(N), but that is not actually true - close but not quite, as you saw.)

It will help if you draw a grid for the indices in each sum and carefully look at which terms (which indices) are involved in each expression.

Once you do that you get to the roadblock I mentionned before.

At that point maybe a short detour will be best : for a brief moment, we shall assume that all the coefficients as well as the variable z are positive real numbers. Do you see how to conclude in this special case ?

Edit : I'm going to sign off pretty soon for today, so work on this and I'll check tomorrow to see if you still need more help.
 
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  • #9
Note: I'm just saving my progress so far. I still need to work on the stuff below this note some more. Hope that's OK.

##q_Ng_N=\sum_{n=0}^N c_n(z)^n \sum_{n=0}^N b_n(z)^n##
##=\sum_{n=0}^N (a_n/b_0-\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0})(z)^n \sum_{n=0}^N b_n(z)^n##
##=\sum_{n=0}^N \frac{a_n}{b_0}(z)^n-\sum_{n=0}^N \bigg(\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0}\bigg)(z)^n \sum_{n=0}^N b_n(z)^n##
##=\bigg(\sum_{n=0}^N \frac{a_n}{b_0}(z)^n-\sum_{n=0}^N \frac{a_{n-1}}{b_0}(z)^n\bigg) \sum_{n=0}^N b_n(z)^n##

Hmm, upon examining the last line, after I clean it up it looks like ##f_N/g_N## is some sort of recursive function of ##f_N##, which would converge since $$f$$ converges.
 
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  • #10
##q_Ng_N=\sum_{n=0}^N c_n(z)^n \sum_{n=0}^N b_n(z)^n##
##=\bigg(\sum_{n=0}^N (a_n/b_0-\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0})(z)^n\bigg) \sum_{n=0}^N b_n(z)^n##
##=\bigg[\sum_{n=0}^N \frac{a_n}{b_0}(z)^n-\sum_{n=0}^N \bigg(\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0}\bigg)(z)^n \bigg]\sum_{n=0}^N b_n(z)^n##
##=\bigg(\sum_{n=0}^N \frac{a_n}{b_0}(z)^n-\sum_{n=0}^N \frac{a_{n-1}}{b_0}(z)^n\bigg) \sum_{n=0}^N b_n(z)^n##
##=\frac{1}{b_0}\sum_{n=0}^N\bigg( a_n(z)^n-a_{n-1}(z)^{n-1}\bigg) \sum_{n=0}^N b_n(z)^n##
##=\frac{1}{b_0}[-a_0+a_{N-2}+a_{N}]g_N##
##\implies q_N=\frac{1}{b_0}[-a_0-a_{N-2}+a_{N}]z^n##
If you let ##n## run to ##\infty## then you get
##\implies q_N=\frac{-a_0}{b_0}z^{-1}## since everything inside the region of convergence would cancel except the first term

Edit: Darn, I'm still not quite there. Lot's of mistakes on the indices. I'll have to work on it more tomorrow.
 
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  • #11
You're making it more difficult than it needs to be. Instead of
##q_Ng_N=\sum_{n=0}^N c_n(z)^n \sum_{n=0}^N b_n(z)^n=\bigg(\sum_{n=0}^N (a_n/b_0-\sum_{j=0}^{N-1}\frac{c_jb_{n-j}}{b_0})(z)^n\bigg) \sum_{n=0}^N b_n(z)^n=...##
Just use
##q_Ng_N=\sum c_n z^n \sum b_m z^m=\sum(\sum c_n b_m)z^p=...## together with ##\sum c_n b_m=...##

As for the indices as I said use a drawing (grid of n=... x m=... ) and look at which terms go into ##f_N## and which go into ##f_{2N}##, it will be easier.

Oh, and don't try going to th limit ##N\rightarrow\infty## too soon, you really need to get those partial sums straight first.
 
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  • #12
This is probably obvious but just to be clear does ##f_{2N}=\sum_{n=0}^{2N}a_nz^n=a_0+a_1z^n+\cdots + a_{2N-1}z^{2N-1}+a_{2N}z^{2N}=f_N+\sum_{n=N+1}^{2N}a_nz^n## ?

Also, I'm not 100% clear on what you mean by a "grid". However, I wrote out each term of ##\sum_{j=0}^{p}c_jb_{p-j}## thinking it would serve the same purpose. Does it?
 
  • #13
Yes on both counts. The grid is just a visual aid : to me, the easiest way to compare which pairs of indices (j, p-j) to use notation in your last formula corespond to terms that go in fN, f2N, and qNgN , is to draw a grid. Otherwise I get a headache. But it achieves nothing you cannot do by careful examination of the formulas themselves. What works for you is what you should use.
 
  • #14
Here's an outline to a solution:
##f## and ##g## holomorphic implies ##\frac{f}{g}(z)=\sum_{n=0}^{\infty}c_n(z-a)^n## is holomorphic for ##|z-a|<r##

By the product rule for power series
##f(z)=\frac{f}{g}(z)g(z)=\sum_{n=0}^{\infty}[\sum_{j=0}^{n}c_{j}b_{n-j}](z-a)^n##

Then by uniqueness of the power series:
##a_n=\sum_{j=0}^n c_jb_{n-j}##
now solve for ##c_n##...one method is to solve for ##c_0## then use induction.

I left out some tedious to type details about disks of convergence
 
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  • #15
Sorry I missed your last post somehow. The thing is, those tedious details you left out about convergence are precisely the subject of the exercise. So no, this isn't an outline of a proof

Alo it seems the hints I'm giving you don't help since you are not following them, and I'm unsure how to help in this circumstance - so perhaps you might want to try re-posting in a new thread so someone else might try another approach better suited to what you need.
 
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  • #16
wabbit said:
Sorry I missed your last post somehow. The thing is, those tedious details you left out about convergence are precisely the subject of the exercise. So no, this isn't an outline of a proof

Alo it seems the hints I'm giving you don't help since you are not following them, and I'm unsure how to help in this circumstance - so perhaps you might want to try re-posting in a new thread so someone else might try another approach better suited to what you need.

Sorry, wasn't trying to be rude. Your help was much appreciated and during the process I learned a lot. However, this solution is from the professor and was revealed before I was able to finish the problem using your strategy. For the sake of completeness I thought I should post it.

Yes, the convergence portion of the problem is key but it wasn't the issue I was having. Perhaps that is why I carelessly called it a "tedious detail."

Anyway, thanks again for the valuable insight you provided.
 
  • #17
Oh OK sorry I misunderstood your post, it looked to me like you were suddenly trying a different direction and at the same time sweeping the key issue under the carpet:smile:
(And you weren't rude at all, I was just at a loss as to how to proceed)
Glad you sorted it out.
 

What is complex analysis?

Complex analysis is a branch of mathematics that deals with the study of complex numbers and functions. It is used to understand and analyze the behavior of functions that involve complex numbers, such as polynomials, trigonometric functions, and exponential functions.

What is series convergence in complex analysis?

Series convergence in complex analysis refers to the behavior of a series of complex numbers or functions. A series is said to converge if the terms of the series approach a finite limit as the number of terms increases. In other words, the series approaches a specific value as more terms are added.

How do you determine if a series converges in complex analysis?

In complex analysis, there are several tests that can be used to determine if a series converges. These include the ratio test, root test, and comparison test. These tests compare the series to other known convergent or divergent series and use mathematical techniques to determine the convergence or divergence of the series in question.

Why is series convergence important in complex analysis?

Series convergence is important in complex analysis because it allows us to determine the behavior and properties of complex functions. Convergent series can be used to approximate functions, while divergent series can indicate the presence of singularities or other interesting properties of a function.

What are some applications of series convergence in complex analysis?

Series convergence has many applications in complex analysis, including the calculation of integrals, the study of sequences and limits, and the analysis of differential equations. It is also used in physics, engineering, and other fields to model and understand complex phenomena.

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