2025-04-13

1079: For Cauchy Sequence on Metric Space, if Subsequence Converges to Point, Sequence Converges to the Point

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description/proof of that for Cauchy sequence on metric space, if subsequence converges to point, sequence converges to the point

Topics


About: metric space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of the proposition that for any Cauchy sequence on any metric space, if a subsequence of it converges to a point, the sequence converges to the same point.

Orientation


There is a list of definitions discussed so far in this site.

There is a list of propositions discussed so far in this site.


Main Body


1: Structured Description


Here is the rules of Structured Description.

Entities:
T: { the metric spaces }
f: :NT, { the Cauchy sequences }
//

Statements:
f:NN such that j,kN such that j<k(f(j)<f(k))(fftT, which means that ff converges to t)

ftT, which means that f converges to t
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2: Proof


Whole Strategy: Step 1: take the open ball around t, Bt,ϵ/2, and take an NN such that for each jN such that N<j, ff(j)Bt,ϵ/2; Step 2: take an NN such that for each j,kN such that N<j,k, dist(f(j),f(k))<ϵ/2; Step 3: take N:=max(N,N), and see that for each jN such that N<j, dist(t,f(j))<ϵ.

Step 1:

Let us take the open ball around t, Bt,ϵ/2.

Let us take an NN such that for each jN such that N<j, ff(j)Bt,ϵ/2, which is possible because ff converges to t.

Step 2:

Let us take an NN such that for each j,kN such that N<j,k, dist(f(j),f(k))<ϵ/2, which is possible because f is a Cauchy sequence.

Step 3:

Let us take N:=max(N,N).

For each jN such that N<j, dist(t,f(j))dist(t,ff(j))+dist(ff(j),f(j))<ϵ/2+ϵ/2=ϵ, because while ff(j)=f(f(j)), jf(j) and NN<f(j),j.

So, f converges to t.


References


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