Metric Spaces: Proving d is a Metric & Defining \widetilde{} on Cauchy Sequences

In summary, the definition of d given in Question A is a valid metric on the set \hat{X} of equivalence classes of Cauchy sequences.
  • #1
Bachelier
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Question A: Let (xn) and (yn) are two Cauchy sequences in a metric space (X, d), define
d((xn), (yn)) = lim d(xn, yn). It is easy to prove that "d" is a metric on the set of all Cauchy Sequences.


Now let's define [tex]\widetilde{}[/tex] on the set of all sequences in a metric space (X, d) by
(xn) [tex]\widetilde{}[/tex] (yn) IFF d(xn, yn) tends to 0.
Show that Question A defines a metric on the set [tex]\hat{X}[/tex]of equivalence classes of Cauchy sequences.


I don't know where to start.
 
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  • #2
Could you help me?Answer: To show that the definition of d given in Question A defines a metric on the set \hat{X} of equivalence classes of Cauchy sequences, we need to show that it satisfies the three conditions of a metric. 1) Non-negativity: For any two sequences (xn) and (yn), d((xn), (yn)) ≥ 0 because d(xn, yn) ≥ 0 by definition. 2) Symmetry: For any two sequences (xn) and (yn), d((xn), (yn)) = d((yn), (xn)). This follows from the fact that d is a metric on the set of all Cauchy Sequences, which is symmetric by definition. 3) Triangle Inequality: For any three sequences (xn), (yn) and (zn), d((xn), (yn)) + d((yn), (zn)) ≥ d((xn), (zn)). This follows from the fact that d is a metric on the set of all Cauchy Sequences, which satisfies the triangle inequality by definition. Therefore, the definition of d given in Question A defines a metric on the set \hat{X} of equivalence classes of Cauchy sequences, as it satisfies the three conditions of a metric.
 

Related to Metric Spaces: Proving d is a Metric & Defining \widetilde{} on Cauchy Sequences

What is a metric space?

A metric space is a mathematical concept that defines the distance between points in a set. It is a generalization of the Euclidean distance between points in a two or three-dimensional space.

What is a metric?

A metric is a function that satisfies certain properties and is used to define the distance between points in a metric space. It is often denoted as d(x,y) and represents the distance between points x and y.

What are the properties of a metric?

The properties of a metric include non-negativity (d(x,y) ≥ 0), identity (d(x,y) = 0 if and only if x = y), symmetry (d(x,y) = d(y,x)), and the triangle inequality (d(x,z) ≤ d(x,y) + d(y,z)).

How do you prove that d is a metric?

To prove that d is a metric, you must show that it satisfies all of the properties of a metric. This can be done by providing a formal proof for each property using the given definition of d and the properties of real numbers.

What is a Cauchy sequence?

A Cauchy sequence is a sequence of numbers that gets arbitrarily close to each other as the sequence progresses. In other words, for any small positive number ε, there exists a point in the sequence after which all the terms are within ε of each other.

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