Continuity in Metric Spaces: Proving the Convergence of a Sequence

If f is continuous, then by definition, we have d(f(x_{n}),f(x))<ε for all ε>0 and for all n≥N. Therefore, (f(x_{n})) is a convergent sequence in the reals.In summary, if a sequence (x_{n}) in a metric space (E,d) converges to some x∈E, then (f(x_{n})) is a convergent sequence in the reals (for its usual metric), if f is continuous.
  • #1
gotmilk04
45
0

Homework Statement


Show that if (x[itex]_{n}[/itex]) is a sequence in a metric space (E,d) which converges to some x[itex]\in[/itex]E, then (f(x[itex]_{n}[/itex])) is a convergent sequence in the reals (for its usual metric).


Homework Equations


Since (x[itex]_{n}[/itex]) converges to x, for all ε>0, there exists N such that for all n[itex]\geq[/itex]N, d(x[itex]_{n}[/itex],x)<ε.
So |x-x[itex]_{n}[/itex]|<ε


The Attempt at a Solution


I understand that this will prove continuity, but I'm not sure how to get from d(x[itex]_{n}[/itex],x)<ε to what we want: d(f(x[itex]_{n}[/itex]_,f(x))<ε
 
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  • #2
If f is continuous then from [itex]d(x,x_n)\rightarrow 0[/itex] you can deduce [itex]d(f(x_n),f(x))\rightarrow 0[/itex] (by definition).

Anyway for f general this might not be the case, take f(x)=1/x, x_n =1/n. x_n ->0 but f(0) is not defined.
 
  • #3
We aren't given that f is continuous, which is why I'm stuck.
 
  • #4
gotmilk04 said:
We aren't given that f is continuous, which is why I'm stuck.

If f is not continuous, then the statement in the OP is false.
 

Related to Continuity in Metric Spaces: Proving the Convergence of a Sequence

1. What is continuity in metric spaces?

Continuity in metric spaces is a mathematical concept that describes the behavior of a function between two metric spaces. It means that small changes in the input of the function result in small changes in the output.

2. How is continuity defined in metric spaces?

A function f is continuous at a point x in a metric space X if for every ε > 0, there exists a δ > 0 such that for all y in X, if d(x,y) < δ, then d(f(x),f(y)) < ε. In simpler terms, this means that for any small change in the input x, the output f(x) will also change by a small amount.

3. What is the importance of continuity in metric spaces?

Continuity is an essential concept in mathematics and is used in various fields, such as analysis, topology, and differential equations. It helps to understand the behavior of functions and their properties, which are crucial in many mathematical applications and real-world problems.

4. Can a function be continuous at some points and not at others?

Yes, it is possible for a function to be continuous at certain points in a metric space and not at others. This is because the definition of continuity depends on the specific point and the surrounding points. A function may satisfy the conditions for continuity at one point but not at another.

5. How can one determine if a function is continuous in a metric space?

In general, determining the continuity of a function in a metric space involves checking the definition of continuity at each point. However, there are also specific theorems and techniques, such as the epsilon-delta proof, that can be used to prove the continuity of a function in a metric space.

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