Completeness of R2 with Taxicab Norm

In summary, to prove that R2 is complete with the taxicab norm, we can use the fact that given Cauchy sequences x_n and y_n in R, we can choose limits x and y and show that the distance between (x_n, y_n) and (x,y) is less than epsilon. This proves that R2 is complete.
  • #1
gtfitzpatrick
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Homework Statement



Given R is complete, prove that R2 is complete with the taxicab norm

The Attempt at a Solution



you know that ,xk [tex]\rightarrow[/tex] x , yk [tex]\rightarrow[/tex] y

Then, given [tex]\epsilon[/tex], choose Nx and Ny so that [tex]\left|x_n - x_m\left|[/tex] and [tex]\left|y_n - y_m\left|[/tex] are less than [tex]\epsilon/2[/tex] respectively, whenever m,n [tex]\geq[/tex] N = [tex]\left|N_x\left|+\left|N_y\left|[/tex].

Then d(([tex]\ x_n,y_n[/tex]),([tex]\ x_m,y_m[/tex])) = [tex]\sqrt{(x_n - x_m)^2 + (y_n - y_m)^2}[/tex] [tex]\leq[/tex] [tex]\sqrt{(\epsilon^2 /4) + (\epsilon^2 /4)}[/tex] = [tex]\epsilon/2[/tex] < [tex]\epsilon[/tex]

i've modified an answer from another question here, i think this work but I am not sure...
 
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  • #2


Let [tex]x_n,y_n[/tex] be Cauchy sequences in R, then you know they have limits, x,y, elements of R.

Given epsilon>0, choose Nx such that [tex]|x_n-x|<\varepsilon/2[/tex] for all n>Nx, and choose Ny the same way. Then let N=max(Nx,Ny).

Then for n>N, you have:
[tex]d((x_n,y_n),(x,y))=|x_n-x|+|y_n-y|<\varepsilon.[/tex]
(Remember it specified the taxicab norm, not Euclidean!)

Now you know that [tex](x_n,y_n)[/tex] converges to (x,y), and that (x,y) is actually in R2. So R2 is complete.
 

What is a Cauchy sequence?

A Cauchy sequence is a sequence of numbers in which the terms become arbitrarily close to each other as the sequence progresses. This means that for any given distance, there exists a point in the sequence after which all subsequent terms are within that distance from each other.

Why are Cauchy sequences important?

Cauchy sequences are important because they are used to define the concept of convergence in mathematical analysis. Convergence is a fundamental concept in many areas of mathematics, including calculus, real analysis, and complex analysis. Cauchy sequences also have applications in physics and engineering.

How do you determine if a sequence is Cauchy?

To determine if a sequence is Cauchy, you need to show that for any given distance, there exists a point in the sequence after which all subsequent terms are within that distance from each other. This can be done by using the Cauchy criterion, which states that a sequence is Cauchy if and only if the terms become arbitrarily close to each other as the sequence progresses.

Can all sequences be classified as Cauchy or not?

No, not all sequences can be classified as Cauchy. In order for a sequence to be considered Cauchy, it must meet the Cauchy criterion, which states that the terms become arbitrarily close to each other as the sequence progresses. If a sequence does not meet this criterion, it cannot be classified as Cauchy.

How are Cauchy sequences related to completeness?

Completeness is a property of a metric space that states that every Cauchy sequence in that space converges to a point within that space. This means that in a complete metric space, there are no "gaps" or "holes" in the sequence, and every Cauchy sequence will have a limit. Therefore, Cauchy sequences are closely related to completeness, as they are used to define the concept of convergence in a complete metric space.

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