Why Can't a Sequence Have Two Distinct Limits in a Metric Space?

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In summary, the proof shows that if a sequence (x_n)_n has a limit point x_0 in a metric space, then x_0 is unique. This is because any other interior point of the set S containing the sequence would violate the triangular inequality theorem. Additionally, if a sequence has two limit points L1 and L2, then L1 and L2 must be equal due to basic properties of real numbers, such as the Archimedean Property.
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I'm trying to understand that proof with little success. Particularly I don't understand why "S has x_0 as a limit point, and S has no other limit point in R^k". Please help
 

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  • #2
The conditions [itex]|x_n-x_0|<1/n[/itex] imply that [itex](x_n)_n[/itex] converges to [itex]x_0[/itex]. Thus [itex]x_0[/itex] is a limit point of the [itex](x_n)_n[/itex] (which is the set S). Since limits of sequences are unique in [itex]\mathbb{R}^k[/itex], the limit point [itex]x_0[/itex] is unique.
 
  • #3
Alright, but can you explain it with basic topology, like neighbourhoods and the definition of a limit point? I don't see why any other interior point of S couldn't be a also a limit point in that case. Rudin says that it's because it would violate the triangular inequality theorem, but still it's not clear enough...
 
  • #4
If y is a limit point of [itex](x_n)_n[/itex], then there exists a subsequence [itex](x_{k_n})_n[/itex] that converges to y. But since the original sequence [itex](x_n)_n[/itex] converges to x, the subsequence must also converge to x.

So [itex](x_{k_n})_n[/itex] converges to both x and y. Thus x must equal y.
 
  • #5
By basic properties of the (standard) real numbers, any two real numbers that are

indefinitely-close to each other, e.g., d(x,y)<1/n for all n , then x=y by,e.g., the

Archimedean Property. Use the triangle inequality to show that, in a metric space,

if a sequence has two limits L1, L2, then L1 is indefinitely-close to L2.
 

Related to Why Can't a Sequence Have Two Distinct Limits in a Metric Space?

1. What is the Heine-Borel related proof?

The Heine-Borel related proof is a theorem in mathematical analysis that establishes a necessary and sufficient condition for a subset of real numbers to be considered compact. It is closely related to the Heine-Borel theorem, which states that a subset of real numbers is compact if and only if it is closed and bounded.

2. How does the Heine-Borel related proof differ from the Heine-Borel theorem?

The Heine-Borel related proof and the Heine-Borel theorem are essentially the same, but the related proof is a more general statement. While the Heine-Borel theorem specifically deals with subsets of real numbers, the related proof can be applied to any topological space.

3. What is the significance of the Heine-Borel related proof in mathematics?

The Heine-Borel related proof is important in mathematics because it provides a necessary and sufficient condition for a subset of a topological space to be compact. This allows mathematicians to easily determine whether a given subset is compact, which has many applications in analysis, topology, and other areas of mathematics.

4. Can the Heine-Borel related proof be applied to infinite sets?

Yes, the Heine-Borel related proof can be applied to infinite sets. In fact, one of the main applications of the proof is to prove the compactness of infinite sets in topological spaces.

5. Are there any alternative proofs for the Heine-Borel related proof?

Yes, there are alternative proofs for the Heine-Borel related proof. Some of these proofs use different mathematical techniques or are more specialized for certain types of topological spaces. However, the original proof by Eduard Heine and Émile Borel is still the most widely used and accepted.

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