Subspaces and interiors of metric spaces problem.

In summary, a subspace in a metric space is a smaller space that still satisfies the properties of a metric space. It is a subset of the original space and follows the same rules and properties. The interior of a metric space is the largest open subset and does not touch the boundary of the space. The interior of a subspace is a subset of the original space's interior. Subspaces and interiors are important in metric spaces as they allow for studying a smaller version of the space and provide insight into its structure and properties.
  • #1
gottfried
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0

Homework Statement


If S is a subspace of the metric space X prove (intxA)[itex]\cap[/itex]S[itex]\subset[/itex]ints(A[itex]\cap[/itex]S) where A is an element of ΩX(Open subsets of X)

The Attempt at a Solution


So intxA=[itex]\bigcup[/itex]Bd(a,r) where d is the metric on X and the a's are elements of A
and I think
intsA=[itex]\bigcup[/itex]Bd(a,r)[itex]\cap[/itex]S

But I'm not sure how to use this fact but it feels as though the answer comes some how from the above condition.

Any pointers?
 
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  • #2
When you want to prove a statement of the type ##A\subset B##, the proof should usually start with a statement like "Let x be an arbitrary member of A". Then you use what you know about A to show that x is a member of B. Here you might want to use another symbol instead of x, because it looks weird to use a symbol that looks too much like X.

Let A and S be arbitrary subsets of X. Let ##y\in \operatorname{int}_X A\cap S## be arbitrary. Now what can you tell us about y?
 
  • #3
y[itex]\in[/itex]intXA[itex]\cap[/itex]S
y[itex]\in[/itex](intXA[itex]\cap[/itex]S)[itex]\cap[/itex]S
It seems right that intXA[itex]\cap[/itex]S = intSA
y[itex]\in[/itex]intSA[itex]\cap[/itex]S
intSS=S(Since all points of S have open balls around them in S making each point interior)
y[itex]\in[/itex]intSA[itex]\cap[/itex]intSS
y[itex]\in[/itex]intS(A[itex]\cap[/itex]S)

Is this the kind of thing you mean?
 
  • #4
In this type of proof, each step is supposed to be an immediate and obvious consequence of the statement in the previous step. Each of the first few steps is often just a clarification of what the statement in the previous step means. What I had in mind for the first step is that you use the definition of ##\cap## to explain what ##y\in\operatorname{int}_X A\cap S## means. Then you use some other definition to explain what the new statement means.

In one of the steps, you will need to think about how the subspace topology is defined.
 

1. What is a subspace in a metric space?

A subspace in a metric space is a subset of the original metric space that also satisfies the properties of a metric space, such as having a distance function and satisfying the triangle inequality. In other words, it is a smaller space that still contains all the necessary elements to be considered a metric space.

2. How is a subspace different from the original metric space?

A subspace is a subset of the original metric space, meaning it contains fewer elements. However, it still follows the same rules and properties as the original metric space, making it a smaller version of the larger space.

3. What is the interior of a metric space?

The interior of a metric space is the largest open subset of the space. In other words, it is the set of all points within the space that do not touch the boundary of the space.

4. How is the interior of a metric space related to the subspace?

The interior of a metric space can be thought of as the "core" of the space, as it contains all the points that are not on the boundary. The subspace, on the other hand, is a smaller version of the space and may or may not include the interior points. The interior of a subspace is a subset of the interior of the original metric space.

5. Why are subspaces and interiors important in metric spaces?

Subspaces and interiors are important in metric spaces because they allow us to study smaller, more manageable versions of a larger space. This can make it easier to understand and prove properties of the larger space. Additionally, the interior of a metric space can provide insight into the structure and properties of the space as a whole.

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