Q about a Proof -- periods meromorphic function form discrete set

In summary: In the end, you should conclude that if the function is both periodic with period ##\omega_0## and period ##\omega_0 + \epsilon## for any epsilon >0, then##f(x+\omega) = f(x+\omega+ \epsilon)## for any choice of epsilon, thus contradicting your assumption that f is non-constant.
  • #1
binbagsss
1,254
11

Homework Statement


Hi,

As part of the proof that :

the set of periods ##\Omega_f ## of periods of a meromorphic ##f: U \to \hat{C} ##, ##U## an open set and ##\hat{C}=C \cup \infty ##, ##C## the complex plane, form a discrete set of ##C## when ##f## is a non-constant

a step taken in the proof (by contradiction) is :

there exists an ##w_{0} \in \Omega_{f} ## s.t for any open set ##U## containing ##w_{0}##, there is an ##w \in \Omega_{f} / {w_0} ## contained in ##U##

Now the next step is the bit I am stuck on
By the standard trick in analysis, we can produce a sequence of periods ##\{w_n\}## such that ##w_{n} \neq w_{0} ## and ##\lim_{n\to \infty} w_{n} = w_0 ##

Homework Equations

The Attempt at a Solution


[/B]
It's been a few years since I've done analysis, and the 'trick' has no name so I am struggling to look it up and find it in google.

A proof of this to understand it's meaning is really what I'm after , what's the idea behind the construction / significance in the usual context it would arise

I am also confused with the notation, does ##n=0## ? So the sequence converges to it's first term, or is ##n## starting from one

Many thanks in advance
 
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  • #2
Since you are using contradiction, you are assuming that the set is not discrete, right?
If the set is discrete, then there is a radius around ##\omega_0## where no members of the neighborhood are in the set ##\Omega_f##.
Because this is not true, you should be able to find members in ##\Omega_f## for any neighborhood.
That is all you are doing with the sequence...letting your neighborhood contract around ##\omega_0## with each additional step.
To avoid confusion, I would not let n start at 0...you want to start at a known other member of the set, you can index that as 1, or use another variable name like x, and let that start at 0.

In the end, you should conclude that if the function is both periodic with period ##\omega_0## and period ##\omega_0 + \epsilon## for any epsilon >0, then
##f(x+\omega) = f(x+\omega+ \epsilon)## for any choice of epsilon, thus contradicting your assumption that f is non-constant.
 
  • #3
RUber said:
Since you are using contradiction, you are assuming that the set is not discrete, right?
If the set is discrete, then there is a radius around ##\omega_0## where no members of the neighborhood are in the set ##\Omega_f##.
Because this is not true, you should be able to find members in ##\Omega_f## for any neighborhood.t.

Okay thank you, so I have just seen you take the radius of the open set to be ##1/n## , so you are contracting with increasing ##n##, but , in order for the set to not need discrete you just need one more period in the open set right, that ##\neq \omega_0 ##, we assume there is one more period, but what is there to suggest there is more than one other period ##\neq \omega_0 ## so that a sequence can be generated?
 
  • #4
There is no rule against a sequence being composed of one repeated entry...however, for some fixed ##\omega_1## and ##\omega_2## with ##\omega_1 \neq \omega_2##, there is a fixed distance ##|\omega_1-\omega_2|<0##, therefore there will, at some point be a high enough n, such that ##\frac1n < |\omega_1-\omega_2|##. This implies that there can be a series constructed where each successive term is closer than the last. Thus, for a non-discrete set, you can say that for any period you find, there will be another period that is closer to, but not equal to ##\omega_0##.
 
  • #5
RUber said:
Since you are using contradiction, you are assuming that the set is not discrete, right?
If the set is discrete, then there is a radius around ##\omega_0## where no members of the neighborhood are in the set ##\Omega_f##.
Because this is not true, you should be able to find members in ##\Omega_f## for any neighborhood.
That is all you are doing with the sequence...letting your neighborhood contract around ##\omega_0## with each additional step.
To avoid confusion, I would not let n start at 0...you want to start at a known other member of the set, you can index that as 1, or use another variable name like x, and let that start at 0.

In the end, you should conclude that if the function is both periodic with period ##\omega_0## and period ##\omega_0 + \epsilon## for any epsilon >0, then
##f(x+\omega) = f(x+\omega+ \epsilon)## for any choice of epsilon, thus contradicting your assumption that f is non-constant.

I don't understand why the ##w_n## generating by this are periods? So by our assumption we have ##f(w_n)=f(w_0)## , for a single value of ##n##. We can define the open ball ##|w_n-w_0| < 1/n ##, if ##f## was continuous we could argue that we can find an ##\epsilon## such that ##|f(w_n)-f(w_0)|<\epsilon## and then taking the limit ##\epsilon \to 0 ## would give ##f(w_n)=f(w_0)## the definition of a period, however holomorphic implies cts at every point but in this theorem the function f is mermorphic so this doesn't work?
 
  • #6
They are periods because they are elements of Omega, the set of periods.
So ##f(x + \omega_0) = f(x) ##.
There is no assumption about the continuity of the function, only the periodicity.
You are trying to show that ##\Omega_f## is discrete by proving (by contradiction) that it can only be non-discrete for constant functions.
Assume: ##\Omega_f## is not discrete and ##f## is non-constant.
Show the contradiction.
--
By the assumption that ##\Omega_f## is not discrete, then for any period ##\omega_0 \in \Omega_f## there is no epsilon neighborhood around ##\omega_0## that does not contain another member of ##\Omega_f##. That other member, by definition, is also a period of ##f##.
The final piece is to use the idea that
##f(x) = f(x + \omega_0) =f(x+\omega_n), \, \forall n##
which will contradict the assumption that f is non-constant...not that ##\omega_n = \omega_0##, which doesn't help you.
--
Does that make more sense?
 
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  • #7
RUber said:
There is no rule against a sequence being composed of one repeated entry...however, for some fixed ##\omega_1## and ##\omega_2## with ##\omega_1 \neq \omega_2##, there is a fixed distance ##|\omega_1-\omega_2|<0##, therefore there will, at some point be a high enough n, such that ##\frac1n < |\omega_1-\omega_2|##. This implies that there can be a series constructed where each successive term is closer than the last. Thus, for a non-discrete set, you can say that for any period you find, there will be another period that is closer to, but not equal to ##\omega_0##.

Sorry I don't think I am grasping this concept.
So the idea being that ##w_1 - w_2 ## is also a period, so each ##w_n## , in this case where there are only two periods (without trivial linear combinations that would generate another period), is really just a combination of ##w1## and ##w2## and the sequence terms just differ by changing the radius of the disc?
 
  • #8
Right. Your set ##\Omega_f## has elements which are periods of ##f##.
Say you have one element that you know for sure, ##\omega_0##.
Then, if your set ##\Omega_f## is not a discrete set, then you can form a sequence of subsets.
Assume there exists a sequence of open neighborhoods, radius = ##r/n##, around ##\omega_0## that are entirely contained in your domain set ##\Omega_f##. Call these neighborhood ##B_n(\omega_0, r) = \{\omega: |\omega - \omega_0| < r/n \} ##
Then, since the domain set is not discrete, for each ##B_n##,there must be at least one member of ##\Omega_f## other than ##\omega_0## contained within ##B_n##.
So for each step in the sequence, you are forcing the distance between one period and another to become closer and closer. Since this is not a discrete set, there is no limit to how close the periods can be.
As you pointed out, all linear combinations of periods, ##\omega = c_1 \omega_0 + c_2 \omega_n ## will also be a period.

The only function that is periodic with infinitely small period is the constant function.
 
  • #9
RUber said:
Right. Your set ##\Omega_f## has elements which are periods of ##f##.
Say you have one element that you know for sure, ##\omega_0##.
Then, if your set ##\Omega_f## is not a discrete set, then you can form a sequence of subsets.
Assume there exists a sequence of open neighborhoods, radius = ##r/n##, around ##\omega_0## that are entirely contained in your domain set ##\Omega_f##. Call these neighborhood ##B_n(\omega_0, r) = \{\omega: |\omega - \omega_0| < r/n \} ##
Then, since the domain set is not discrete, for each ##B_n##,there must be at least one member of ##\Omega_f## other than ##\omega_0## contained within ##B_n##.
So for each step in the sequence, you are forcing the distance between one period and another to become closer and closer. Since this is not a discrete set, there is no limit to how close the periods can be.
As you pointed out, all linear combinations of periods, ##\omega = c_1 \omega_0 + c_2 \omega_n ## will also be a period.

The only function that is periodic with infinitely small period is the constant function.

Hi apolgoies to re-bump a old thread, i am just looking over and think I am confusing concepts:The bolzano-weirestrass theorem states that each bounded sequence in Rn has a convergent subsequence. An equivalent formulation is that a subset of Rn is sequentially compact if and only if it is closed and bounded

I am confused because we are working in an open set, but this is irrelevant because?...all that matters is the sequence we construct is bounded, and it is initially by r, and then getting smaller and smaller by r/n, tending to zero as n goes to infinity, although we are using 'open neighbourhoods' to construct . oh apologies i thought that bounded sets had to be closed, haven't studied this before, but just googled and see they don't. eitherway, any more clarification much appreciated.
 

1. What is a meromorphic function?

A meromorphic function is a complex-valued function that is defined and analytic everywhere except for a discrete set of points, where it has poles. These poles are essentially points where the function is undefined or becomes infinite.

2. What is the significance of having a discrete set of points in a meromorphic function?

The discrete set of points, or poles, in a meromorphic function can provide valuable information about the behavior of the function. They can indicate where the function is undefined or where it has essential singularities, which can affect the overall behavior of the function.

3. What is the proof for a meromorphic function having a discrete set of points?

The proof for a meromorphic function having a discrete set of points is based on the properties of analytic functions and their behavior near poles. It involves analyzing the Laurent series expansion of the function and its singularity at each pole.

4. Can a meromorphic function have an infinite number of poles?

Yes, a meromorphic function can have an infinite number of poles, as long as they are all located at isolated points. This means that the poles cannot accumulate at any particular point, as that would result in an essential singularity instead of a discrete set of points.

5. What is the difference between a meromorphic function and a holomorphic function?

A holomorphic function is a complex-valued function that is defined and analytic everywhere within its domain. This means that it does not have any poles or essential singularities. On the other hand, a meromorphic function is defined and analytic everywhere except for a discrete set of points, where it has poles. In other words, a holomorphic function is a special case of a meromorphic function where the set of poles is empty.

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