Continuity characterization (metric spaces)

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In summary, if there exists a point q such that q is not in f(B(x,c)), then f(B(x,a)) is not contained in f(B(x,a)).
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Carl140
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Homework Statement



Let (X,d) and (Y,d') be metric spaces and f: X-> Y a continuous map.
Suppose that for each a>0 there exists b>0 such that for all x in X
we have:

B(f(x), b) is contained in closure( f(B(x,a))).

Here B(f(x),b) represents the open ball with centre f(x) and radius b.
Similarly B(x,a) represents the open ball with centre x and radius a.

Prove that for all x in X and for every c > a :

B(f(x), b) is contained in f(B(x,c)).

The Attempt at a Solution



No clue here, I took an y element in B(f(x),b) so d(f(x),y) < b.
Then by assumption B(f(x),b) is contained in closure(f(B(x,a)) so y
is in closure(f(B(x,a)), and then?
 
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  • #2
If you don't get an answer, this forum

http://www.mathhelpforum.com/math-help/

should help you immensely.

Questions in their section on analysis are typically very well answered.
 
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  • #3
This is ripe for a proof by contradiction approach (which may even yield a direct proof).

If there is a c such that B(f(x),b) is not contained in f(B(x,c)) what does that mean?
 
  • #4
Hi Matt, thanks for your reply. Assume there exists a point q in B(f(x),b) such
that q is not in f(B(x,c)).

Now since c>a it follows that B(x,a) is contained in B(x,c).
Hence f(B(x,a)) is contained in f(B(x,c)).

Since q is not in f(B(x,c)) then q is not in f(B(x,a)).

But f is continuous so f(closure(B(x,a))) is contained in closure(f(B(x,a)).

I'm stuck here. What else should I do?
 

FAQ: Continuity characterization (metric spaces)

What is continuity in a metric space?

Continuity in a metric space refers to the property of a function where small changes in the input result in small changes in the output. In other words, as the input values get closer together, the output values also get closer together.

How is continuity defined in a metric space?

In a metric space, a function f is continuous at a point x if for any positive real number ε, there exists a positive real number δ such that for all points y within a distance of δ from x, the distance between f(x) and f(y) is less than ε.

What is the difference between uniform continuity and continuity in a metric space?

Uniform continuity is a stronger form of continuity that applies to functions on a metric space where the same δ value works for all points, regardless of their distance from x. In other words, the same δ value can be used for points that are very close to x and those that are further away. On the other hand, continuity in a metric space only guarantees that there exists a δ value for each point x that satisfies the definition of continuity.

How is continuity related to differentiability in a metric space?

In a metric space, a function that is differentiable is also continuous. This means that if a function is not continuous at a point, it also cannot be differentiable at that point. However, the converse is not always true, as a function can be continuous at a point but not differentiable.

Can a function be continuous at all points in a metric space?

No, not all functions are continuous at all points in a metric space. For example, the Dirichlet function is continuous at irrational numbers but not at rational numbers. However, if a function is continuous at all points in a metric space, it is called a continuous function.

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