20. The Category of Complete Metric Spaces

20.1 Definition:

A sequence MATH in a Metric Space $\QTR{Large}{(M,d)}$ is called a Cauchy Sequence

if for any MATH0 there exists an nMATH such that if MATHnMATH then MATH

20.2 Lemma:

In the setting of 20.1 , every Cauchy sequence is bounded. In particular there is a number $\QTR{Large}{b>}$0 and an MATH such that MATH

Proof:

Select nMATH such that if MATHn$_{1}$ then MATH1. Now let MATH and select any

$\QTR{Large}{b>\{}$1MATH

20.3 Lemma:

In the setting of 20.1 , if MATH then MATH is a Cauchy Sequence.

Proof:

This quickly follows from the observation that

MATH

hence if MATH then MATH

20.4 Examples and Observations:

  1. In general, the converse to 20.3 is not true. Consider, for example, the open interval $\QTR{Large}{(}$0,1$\QTR{Large}{)}$ and the sequence MATH clearly is Cauchy but does not have a limit.

    It is also the case that Cauchy sequences are not preserved under mapping by continuous functions. For example, consider $\QTR{Large}{f:(}$0,1MATH,MATH given by

    MATHand the Cauchy sequence MATH.

    on the other hand

  2. In MATH , every Cauchy sequence converges.

    Proof:

    Since MATH is bounded, so is MATH . let MATH and MATH be the greatest lower bound and least upper bounds respectively. On checks that

    Assignment: Due April 13 . Fill in the details.

20.5 Definition:

A Metric Space is called complete if every Cauchy sequence converges. In particular,

MATH is a complete metric space.

20.6 Theorem:

Let $\QTR{Large}{(M,d)}$ be a complete Metric Space and let MATH be closed, then

$\QTR{Large}{(A,d)}$ is a complete Metric Space.

Proof:

Any Cauchy sequence in $\QTR{Large}{A}$ converges in $\QTR{Large}{M}$ , but $\QTR{Large}{A}$ is closed so it contains all its limit points.

20.7 Theorem:

Given Metric Spaces $\QTR{Large}{(M,d)}$ and MATH , we can define a metric MATHon MATH by setting

MATH

Then if $\QTR{Large}{(M,d)}$ and MATH are complete so is MATH .

Proof:

After checking that is a MATH metric, the essential point is the proof is to show that if MATH is a Cachy sequence for MATHthen so is MATH and MATH for $\QTR{Large}{d}$ and MATH respectively. Hence MATH and MATH converge to $\QTR{Large}{x}$ and $\QTR{Large}{y}$ respectively. Finally, MATH converges to $\QTR{Large}{(x,y)}$.

Assignment: Due April 13 . State and prove the converse.


We would like to discuss the Category of Complete Metric Spaces. Unsettled is the appropriate choice of morphisms. Since we wish these to be structure preserving 20.4.1 tells us that continuous functions might be a poor choice since, in general, they do do preserve Cauchy sequences. There is an important sub-class of continuous functions which do preserve Cauchy sequences and, in fact, are the continous functions on an important sub-Category of Complete Metric Spaces.

20.8 Definition:

Given Metric Spaces $\QTR{Large}{(M,d)}$ and MATH and a map MATH we say that $\QTR{Large}{f}$ is

uniformly continuous if for all $\QTR{Large}{x\in }$ $\QTR{Large}{M}$ ,given any MATH0 there is a MATH0 such thatMATHNote that this differs for continuity in that MATH is independent of $\QTR{Large}{x}$.

Remarks:

  1. We will show, for example, that every continuous function $\QTR{Large}{f:[}$0,1MATH0,1$\QTR{Large}{]}$ is uniformly continuous.

  2. To verify that complete metric spaces and uniformly continuous maps form a category we need to check the the composition of uniformly continuous maps is uniformly continuous.

20.9 Theorem:

In the setting of 20.8, if MATH is a Cauchy sequence in $\QTR{Large}{M}$ then MATH is a Cauchy sequence in MATH.

Proof:

Given MATH0 we need to find nMATH such that if MATHnMATH then MATH

But since is uniformly continuous we can choose MATH0 such thatMATHfor all $\QTR{Large}{x}$. Select nMATH such that if MATHnMATH then MATH

We will also want to look at the following uniformly continuous functions.

20.10 Definition:

Given Metric Spaces $\QTR{Large}{(M,d)}$ and MATH ,a map MATH is said to be an isometry if for all MATH ,

MATH


Notes:

  1. Given Metric Spaces $\QTR{Large}{(M,d)}$ one first observes that if 0MATH then MATH is also a Metric Space MATH. Moreover the two Metric Spaces have the same Cauchy Sequences.

  2. In the setting of 1., Given a second metric MATH such that for all MATH we haveMATH

    then $\QTR{Large}{d}$ and MATH have the same Cauchy Sequences.