Proving Pathwise Connectedness in Topological Spaces: A Counterexample

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However, as shown in the previous attempt at a solution, X is not pathwise connected since there does not exist a continuous map f : [0,1] -> X with f(0) = (0,0) and f(1) = (1,sin1). Therefore, the converse of the statement "Pathwise connectedness implies connectedness" is false.
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Homework Statement



Pathwise connectedness implies connectedness.
Show that the converse is false by considering the following subspace of R^2:
X = { (t, sin(1/t)) : t is nonzero } union { (0, t) : -1 <= t <= 1 }

Homework Equations



Definitions:

A topological space X is called pathwise connected if for any two distinct points x and y of X, there exists a continuous map f: [0,1] -> X with f(0) = x and f(1) = y.

A topological space X is disconnected if there exists two nonempty disjoint clopen subsets U, V of X such that (U union V) = X.

A topological space X is disconnected if it is not connected.

The Attempt at a Solution



So we have to show that
X = { (t, sin(1/t)) : t is nonzero } union { (0, t) : -1 <= t <= 1 }
is connected but is not pathwise connected.

To show X is not pathwise connected, choose x = (0,0) and say y = (1,sin1).
Then there is no continuous map f : [0,1] -> X with f(0) = (0,0) and f(1) = (1,sin1) because lim_(t -> 0) sin(1/t) does not exist so sin(1/t) is not continuous at t=0.
Therefore X is not pathwise connected.

To show X is connected, suppose X is disconnected (to try to get a contradiction),
so there exists two nonempty disjoint clopen subsets U, V of X such that (U union V) = X.
Now, let
A = { (t, sin(1/t)) : t > 0}
B = { (t, sin(1/t)) : t < 0}
C = { (0, t) : -1 <= t <= 1 }
then A,B,C are all connected sets and also X = A union B union C.
Take x in U, and y in V.
Then x and y cannot be both in A, or both in B, or both in C (A,B,C are all connected)
so without loss of generality assume either x is in A and y is in C, or x is in A and y is in B.

And then I'm stuck not knowing what to do next.
Can anyone give me some help?
 
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Solution:

To show X is connected, suppose X is disconnected (to try to get a contradiction),
so there exists two nonempty disjoint clopen subsets U, V of X such that (U union V) = X.
Now, let
A = { (t, sin(1/t)) : t > 0}
B = { (t, sin(1/t)) : t < 0}
C = { (0, t) : -1 <= t <= 1 }
then A,B,C are all connected sets and also X = A union B union C.
Take x in U, and y in V.
Then x and y cannot be both in A, or both in B, or both in C (A,B,C are all connected)
so without loss of generality assume either x is in A and y is in C, or x is in A and y is in B.

If x is in A and y is in C, then there must exist a point z in B such that z is in U.
Since U is open and B is closed, there exists a small enough open ball B(z,r) contained in U.
But this ball must contain some points of A as well, contradicting the fact that U and A are disjoint.
Therefore, this case is not possible.

If x is in A and y is in B, then there must exist points z and w in C such that z is in U and w is in V.
Since C is compact, there exists a finite subcover {B(z_i,r_i)} of C.
Now, consider the set {B(z_i,r_i)} union {B(w,r)}.
This is a finite open cover of C, and since C is compact, there exists a finite subcover that covers all of C.
But this subcover must contain points of both U and V, contradicting the fact that they are disjoint.
Therefore, this case is also not possible.

Thus, our assumption that X is disconnected must be false, and therefore X is connected.
 

What is meant by "showing connectedness" in scientific research?

Showing connectedness means demonstrating the relationships between different variables or factors in a scientific study. This can include causation, correlation, or other types of associations.

Why is it important to show connectedness in scientific research?

Showing connectedness helps to establish a more comprehensive understanding of the topic being studied. It also allows for more accurate and reliable conclusions to be drawn from the data.

How can connectedness be demonstrated in a scientific study?

Connectedness can be demonstrated through statistical analysis, visual representations such as graphs or charts, and by discussing the relationships between variables in the results and discussion sections of a research paper.

What are some common mistakes made when attempting to show connectedness in scientific research?

One common mistake is assuming causation when there is only correlation between variables. It is also important to carefully consider any potential confounding variables that may be influencing the results.

What are some best practices for effectively showing connectedness in scientific research?

Some best practices include clearly defining and measuring all variables involved, using appropriate statistical tests, and discussing potential limitations and alternative explanations for the results. It is also important to use multiple methods to demonstrate connectedness and to be cautious in drawing definitive conclusions.

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