Equivalence of Metrics and Completeness in Metric Spaces

In summary, two metrics d, d' on a space S are considered equivalent if one dominates the other and there exist positive constants M and M' that satisfy the given conditions. If (S,d) is complete, then every Cauchy sequence in S converges to a limit in S. Based on this, if (S,d) is complete, (S,d') is also a complete metric space.
  • #1
fk378
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Homework Statement


We say that two metrics d, d' on a space S are equivalent if each "dominates" the other in the following sense: there exist constants M, M'>0 such that
d'(x,y)<=M' d(x,y) and d(x,y)<=M d'(x,y) for all x,y in S.

If metrics d, d' are equivalent, prove that (S,d) is complete<==>(S,d') is a complete metric space.


The Attempt at a Solution


If (S,d) is complete then every Cauchy sequence in S converges to a limit in S. I want to go somewhere along the lines of saying that multiplying by a constant will not change its convergence...am I going along the right lines here? I don't really know how else to go about this.
 
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  • #2
Let's do the => direction first. Take a cauchy sequence {x_n} in (S,d'). Is {x_n} cauchy in (S,d)?
 
  • #3
I'm guessing it is yes. Because we have M' that we can multiply the sequence by?
 
  • #4
And, of course, a sequence convertes if and only if "given [itex]\epsilon> 0[/itex], there exist N such that ...

Given [itex]\epsilon> 0[/itex] in d', what does that tell you about [itex]\epsilon/M'[/itex] in d?
 
  • #5
HallsofIvy said:
And, of course, a sequence convertes if and only if "given [itex]\epsilon> 0[/itex], there exist N such that ...

Given [itex]\epsilon> 0[/itex] in d', what does that tell you about [itex]\epsilon/M'[/itex] in d?

To finish the first part of your response, "there exists N such that..."
is the end of that "n larger than N will be equal to some epsilon>0"?

For the second part, epsilon/M' will be some small value in d...?
 
  • #6
If [itex]d(x_n, L)< \epsilon[/tex] for all n> N, then [itex]d'(x_n,L)= M'\epsilon[/itex] and conversely.
 

Related to Equivalence of Metrics and Completeness in Metric Spaces

1. What is a complete metric space?

A complete metric space is a mathematical concept used in the study of topology and analysis. It is a set of elements equipped with a metric function that satisfies the properties of completeness, meaning that every Cauchy sequence in the space converges to a limit that is also within the space.

2. How is completeness different from compactness in a metric space?

Completeness and compactness are two distinct properties of a metric space. Completeness refers to the convergence of Cauchy sequences, while compactness refers to the finiteness of open covers. A metric space can be complete without being compact, and vice versa.

3. Can a subset of a complete metric space also be complete?

Yes, a subset of a complete metric space can also be complete. This is because the completeness of a metric space depends on the properties of the metric function, not the elements within the space. As long as the subset inherits the same metric function, it will also be complete.

4. What are some examples of complete metric spaces?

Several examples of complete metric spaces include the real numbers with the standard Euclidean metric, the space of continuous functions on a closed interval with the sup norm metric, and the space of square-integrable functions with the L2 norm metric.

5. How is completeness useful in mathematical analysis?

Completeness in a metric space is a key concept in mathematical analysis, as it allows for the study of convergence and continuity. It is used to prove the existence and uniqueness of solutions to differential equations, as well as to study the convergence of numerical methods for solving equations. It also plays a crucial role in the study of function spaces and their properties.

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