Proving existence of unique fixed point on a compact space

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Homework Help Overview

The discussion revolves around proving the existence of a unique fixed point for a continuous function defined on a compact metric space, under the condition that the function is strictly increasing in terms of distance. Participants are exploring the implications of this condition and referencing related fixed point theorems.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • Participants are attempting to establish the uniqueness of the fixed point by assuming the existence of two distinct fixed points and deriving a contradiction. They are also discussing the existence of a fixed point through the construction of a sequence and the application of compactness.

Discussion Status

There are multiple lines of reasoning being explored, including the use of the Intermediate Value Theorem for metric spaces and the contraction mapping theorem. Some participants are questioning how to demonstrate that a certain intersection of sets is invariant under the function, and whether this set is compact.

Contextual Notes

Participants note the lack of surjectivity of the function and are considering the implications of compactness on the existence of fixed points. There is also a reference to Cantor's intersection theorem in the context of nested sets.

mahler1
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Homework Statement .

Let ##(M,d)## be a metric space and let ##f:M \to M## be a continuous function such that ##d(f(x),f(y))>d(x,y)## for every ##x, y \in M## with ##x≠y##. Prove that ##f## has a unique fixed point

The attempt at a solution.

The easy part is always to prove unicity. Suppose there exist ##x,y##, ##x≠y## : ##x## and ##y## are both fixed points. Then ##d(x,y)=d(f(x),f(y)>d(x,y)##, which is absurd. Then, ##x## must be unique.

Now I have to prove existence and here I had problems:

First I've tried to prove it trying to repeat the standard proof of the fixed point theorem on a complete m.e. with ##f## being a contraction, I mean:

Let ##x## be an arbitrary element in M, I've defined a sequence ##\{x_n\}_{n \in \mathbb N} : x_1=x, x_2=f(x_1)=f(x), x_3=f(x_2)=f^2(x_1)## and, in general, ##x_n=f(x_{n-1})=f^{n-1}(x)##.

As ##M## is compact, there exists ##\{x_{n_k}\}_{k \in \mathbb N}## a convergent subsequence of ##\{x_n\}_{n \in \mathbb N}##. Then, ##x_{n_k} \to z##. I would love to apply ##f## and say ##z=lim_{k \to \infty} x_{n_{k+1}}=f(lim_{k \to \infty} x_{k_n})=f(z)## (using that ##f## is continuous), but then I've realized this is completely wrong as ##f(x_{n_k})=x_{n_k+1}≠x_{n_{k+1}}##.
 
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I found you a theorem. If you can prove it, I think you have your result.

Theorem (Intermediate value theorem for metric spaces): given ##
(S_{1}, d_{1}), (S_{2}, d_{2}), f:E_{1} \rightarrow E_{2}, f ##
is continuous,## E \subseteq S_{1} ## is connected, then## f(E)
\subseteq S_{2} ##is connected.

On further research I find there are a lot of "fixed point" theorems around. Check out the contraction mapping theorem here: http://www.math.tifr.res.in/~publ/ln/tifr26.pdf
 
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brmath said:
I found you a theorem. If you can prove it, I think you have your result.

Theorem (Intermediate value theorem for metric spaces): given ##
(S_{1}, d_{1}), (S_{2}, d_{2}), f:E_{1} \rightarrow E_{2}, f ##
is continuous,## E \subseteq S_{1} ## is connected, then## f(E)
\subseteq S_{2} ##is connected.

On further research I find there are a lot of "fixed point" theorems around. Check out the contraction mapping theorem here: http://www.math.tifr.res.in/~publ/ln/tifr26.pdf

I'll try to solve it using that theorem, if I can arrive to a solution, I'll post it. Thanks!
 
mahler1 said:
I'll try to solve it using that theorem, if I can arrive to a solution, I'll post it. Thanks!

That's good. I have a feeling this is a standard result, and probably quite useful.
 
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mahler1 said:
Homework Statement .

Let ##(M,d)## be a metric space and let ##f:M \to M## be a continuous function such that ##d(f(x),f(y))>d(x,y)## for every ##x, y \in M## with ##x≠y##. Prove that ##f## has a unique fixed point

The attempt at a solution.

The easy part is always to prove unicity. Suppose there exist ##x,y##, ##x≠y## : ##x## and ##y## are both fixed points. Then ##d(x,y)=d(f(x),f(y)>d(x,y)##, which is absurd. Then, ##x## must be unique.

Now I have to prove existence and here I had problems:

First I've tried to prove it trying to repeat the standard proof of the fixed point theorem on a complete m.e. with ##f## being a contraction, I mean:

Let ##x## be an arbitrary element in M, I've defined a sequence ##\{x_n\}_{n \in \mathbb N} : x_1=x, x_2=f(x_1)=f(x), x_3=f(x_2)=f^2(x_1)## and, in general, ##x_n=f(x_{n-1})=f^{n-1}(x)##.

As ##M## is compact, there exists ##\{x_{n_k}\}_{k \in \mathbb N}## a convergent subsequence of ##\{x_n\}_{n \in \mathbb N}##. Then, ##x_{n_k} \to z##. I would love to apply ##f## and say ##z=lim_{k \to \infty} x_{n_{k+1}}=f(lim_{k \to \infty} x_{k_n})=f(z)## (using that ##f## is continuous), but then I've realized this is completely wrong as ##f(x_{n_k})=x_{n_k+1}≠x_{n_{k+1}}##.

My instinct is to prove that f is invertible, and apply the contraction mapping theorem to f^{-1}. However it's not that straightforward.
Certainly f is injective: if x \neq y then we have d(f(x),f(y)) > d(x,y) > 0 so that necessarily f(x) \neq f(y).

Unfortunately we are not given that f is surjective (although maybe compactness combined with the condition on f requires that; I haven't been able to show that myself). It is however sufficient to find a subset U \subset M such that f(U) = U. The function f_{U}: U \to U : x \mapsto f(x) will then be invertible.

How to find such a U? We have a sequence of nested non-empty closed subsets
<br /> M = f^0(M) \supseteq f(M) \supseteq \dots \supseteq f^n(M) \supseteq \dots<br />
and one thing to try is to consider the intersection
<br /> I = \bigcap_{n=0}^{\infty} f^n(M)<br />
which is non-empty by Cantor's intersection theorem. Certainly any fixed point of f must be in this intersection. If we can show that f(I) = I then we will be done.
 
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pasmith said:
My instinct is to prove that f is invertible, and apply the contraction mapping theorem to f^{-1}. However it's not that straightforward.
Certainly f is injective: if x \neq y then we have d(f(x),f(y)) &gt; d(x,y) &gt; 0 so that necessarily f(x) \neq f(y).

Unfortunately we are not given that f is surjective (although maybe compactness combined with the condition on f requires that; I haven't been able to show that myself). It is however sufficient to find a subset U \subset M such that f(U) = U. The function f_{U}: U \to U : x \mapsto f(x) will then be invertible.

How to find such a U? We have a sequence of nested non-empty closed subsets
<br /> M = f^0(M) \supseteq f(M) \supseteq \dots \supseteq f^n(M) \supseteq \dots<br />
and one thing to try is to consider the intersection
<br /> I = \bigcap_{n=0}^{\infty} f^n(M)<br />
which is non-empty by Cantor's intersection theorem. Certainly any fixed point of f must be in this intersection. If we can show that f(I) = I then we will be done.

Hmm, I don't know how to prove that ##I=\bigcap_{n=0}^{\infty} f^n(M)## satisfies ##I=f(I)##. Suppose I could prove ##I=f(I)##, is it true that ##I## is compact?, because if not, all I am going to write is absolutely wrong:
Lets prove that ##I## consists of only one point. Suppose there is more than one element. Define ##f:I \times I \to \mathbb R## as ##f(x,y)=d(x,y)##,##f## is a continuous function on a compact metric space (cartesian product of compact sets is compact), then attains a maximum. Then, there exist ##x_1,x_2## such that ##diam(I)=d(x_1,x_2)##. By hypothesis, there are ##y_1, y_2 \in I: f(x_1)=y_1, f(x_2)=y_2##, but ##d(x_1,x_2)<d(f(x_1),f(x_2))##, which is absurd by definition of diameter.

As ##I## consists of only one point, then we have ##\{x\}=I=f(I)=\{f(x)\}##.

So, we've proved existence by defining that nested sequence of sets. In my first post I've proved unicity. Now there are two things left to prove: how can I show that ##I=f(I)##? and, is it true that ##I## is compact?

Your previous answer was very helpful, pasmith. Thanks!
 
mahler1 said:
Hmm, I don't know how to prove that ##I=\bigcap_{n=0}^{\infty} f^n(M)## satisfies ##I=f(I)##. Suppose I could prove ##I=f(I)##, is it true that ##I## is compact?, because if not, all I am going to write is absolutely wrong:
Lets prove that ##I## consists of only one point. Suppose there is more than one element. Define ##f:I \times I \to \mathbb R## as ##f(x,y)=d(x,y)##,##f## is a continuous function on a compact metric space (cartesian product of compact sets is compact), then attains a maximum. Then, there exist ##x_1,x_2## such that ##diam(I)=d(x_1,x_2)##. By hypothesis, there are ##y_1, y_2 \in I: f(x_1)=y_1, f(x_2)=y_2##, but ##d(x_1,x_2)<d(f(x_1),f(x_2))##, which is absurd by definition of diameter.

As ##I## consists of only one point, then we have ##\{x\}=I=f(I)=\{f(x)\}##.

So, we've proved existence by defining that nested sequence of sets. In my first post I've proved unicity. Now there are two things left to prove: how can I show that ##I=f(I)##? and, is it true that ##I## is compact?

Your previous answer was very helpful, pasmith. Thanks!

You just put your finger on the problem. If M is compact then d:MxM->R attains a maximum. So M must consist of a single point for the reasons you just indicated. So it obviously has a trivial fixed point. I notice 'compact' is only in the title of the thread and your proof. The statement you quoted doesn't mention 'compact'.
 
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Dick said:
You just put your finger on the problem. If M is compact then d:MxM->R attains a maximum. So M must consist of a single point for the reasons you just indicated. So it obviously has a trivial fixed point. I notice 'compact' is only in the title of the thread and your proof. The statement you quoted doesn't mention 'compact'.
Oh, that's simply because I'm an idiot and I didn't notice that I haven't wrote ##M## a COMPACT metric space. That is one of the hypothesis of the problem, and now I cannot edit my original post :(

Wait, now that it's been clarified ##M## is compact, the function I've defined is from ##I \times I \to \mathbb R##, I need compactness of ##I## to say the function attains a maximum
 
mahler1 said:
Homework Statement .

Let ##(M,d)## be a metric space and let ##f:M \to M## be a continuous function such that ##d(f(x),f(y))>d(x,y)## for every ##x, y \in M## with ##x≠y##. Prove that ##f## has a unique fixed point

The attempt at a solution.

The easy part is always to prove unicity. Suppose there exist ##x,y##, ##x≠y## : ##x## and ##y## are both fixed points. Then ##d(x,y)=d(f(x),f(y)>d(x,y)##, which is absurd. Then, ##x## must be unique.

Now I have to prove existence and here I had problems:

First I've tried to prove it trying to repeat the standard proof of the fixed point theorem on a complete m.e. with ##f## being a contraction, I mean:

Let ##x## be an arbitrary element in M, I've defined a sequence ##\{x_n\}_{n \in \mathbb N} : x_1=x, x_2=f(x_1)=f(x), x_3=f(x_2)=f^2(x_1)## and, in general, ##x_n=f(x_{n-1})=f^{n-1}(x)##.

As ##M## is compact, there exists ##\{x_{n_k}\}_{k \in \mathbb N}## a convergent subsequence of ##\{x_n\}_{n \in \mathbb N}##. Then, ##x_{n_k} \to z##. I would love to apply ##f## and say ##z=lim_{k \to \infty} x_{n_{k+1}}=f(lim_{k \to \infty} x_{k_n})=f(z)## (using that ##f## is continuous), but then I've realized this is completely wrong as ##f(x_{n_k})=x_{n_k+1}≠x_{n_{k+1}}##.

One of the hypothesis of the exercise is that ##M## is a compact metric space, I've forgot to write that.
 
  • #10
mahler1 said:
One of the hypothesis of the exercise is that ##M## is a compact metric space, I've forgot to write that.

Sure, sure. But if M is compact, doesn't your argument show M consists of a single point? Forget I.
 
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  • #11
Dick said:
Sure, sure. But if M is compact, doesn't your argument show M consists of a single point?

Yes, but my argument is based on the fact that ##I=f(I)## and that ##I## is compact, these are two facts I've assumed to be true without proving them because I didn't know how to.

I had another idea to prove the statement without using Cantor's intersection theorem but there is something that doesn't convince me, if you want/can check it, maybe you realize where my mistake is:

In a previous post I've proved that if a fixed point exists, then it must be unique. Now I want to prove existence:
Consider ##f:M \to \mathbb R## defined as ##f(x)=d(x,f(x))##. Since ##f## is continuous, ##f## attains a maximum. Let ##x## be te point where ##f## attains it maximum and let ##D## be the maximum, ##D=d(x,f(x))##, if ##D=0 \implies d(x,f(x))=0 \implies x=f(x)##, so we are done. If ##D>0##, then by hypothesis, ##D=d(x,f(x))<d(f(x),f(f(x)))##, which is absurd since ##D## is the maximum. Then it must be ##D=0## and ##x=f(x)##.

If I read this proof, I think it's correct, but one conclusion of this proof is that for any ##z \in M##, ##0≤d(z,f(z)≤d(x,f(x))=D=0##, then ##d(z,f(z))=0## for every ##z## so all the points are fixed points!. There must be something wrong here and I can't see where.
 
  • #12
mahler1 said:
Yes, but my argument is based on the fact that ##I=f(I)## and that ##I## is compact, these are two facts I've assumed to be true without proving them because I didn't know how to.

I had another idea to prove the statement without using Cantor's intersection theorem but there is something that doesn't convince me, if you want/can check it, maybe you realize where my mistake is:

In a previous post I've proved that if a fixed point exists, then it must be unique. Now I want to prove existence:
Consider ##f:M \to \mathbb R## defined as ##f(x)=d(x,f(x))##. Since ##f## is continuous, ##f## attains a maximum. Let ##x## be te point where ##f## attains it maximum and let ##D## be the maximum, ##D=d(x,f(x))##, if ##D=0 \implies d(x,f(x))=0 \implies x=f(x)##, so we are done. If ##D>0##, then by hypothesis, ##D=d(x,f(x))<d(f(x),f(f(x)))##, which is absurd since ##D## is the maximum. Then it must be ##D=0## and ##x=f(x)##.

If I read this proof, I think it's correct, but one conclusion of this proof is that for any ##z \in M##, ##0≤d(z,f(z)≤d(x,f(x))=D=0##, then ##d(z,f(z))=0## for every ##z## so all the points are fixed points!. There must be something wrong here and I can't see where.

All points are fixed points, and there aren't many of them. d:MxM->R is a continuous function from the compact space MxM into R. So it attains a maximum. So there is a D (diam(M)) such that d(x,y)<=D for all x and y in M. There is also an x' and y' such that d(x',y')=D. That d(f(x'),f(y'))>d(x',y')=D is obvious rubbish. So x'=y' and D=0. M consists of a single point. It's the same argument you applied to I.
 
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  • #13
Dick said:
All points are fixed points, and there aren't many of them. d:MxM->R is a continuous function from the compact space MxM into R. So it attains a maximum. So there is a D (diam(M)) such that d(x,y)<=D for all x and y in M. There is also an x' and y' such that d(x',y')=D. That d(f(x'),f(y'))>d(x',y')=D is obvious rubbish. So x'=y' and D=0. M consists of a single point. It's the same argument you applied to I.

Ooooh, so the conclusion of my proof would be ##|M|=1##, I thought about it but I still kept suspecting there was something wrong with the proof. Thanks!
 
  • #14
mahler1 said:
Ooooh, so the conclusion of my proof would be ##|M|=1##, I thought about it but I still kept suspecting there was something wrong with the proof. Thanks!

Welcome! The whole thing does seem like kind of a cheat. Didn't need to use f is continuous. Etc, etc. I still wonder if they didn't mean to ask a somewhat different question. But it is true that compact metric spaces don't have mappings like that. Unless the metric space is has a single point.
 
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