Metric Spaces: Separability and Total Boundedness, Assignments of Mathematics

The assignment questions for mat 472, a mathematics and statistics course at arizona state university, focused on metric spaces. The assignment includes three problems: proving that the product of two separable metric spaces is separable (problem 1), demonstrating that every totally bounded metric space is separable (problem 2), and showing that a metric space which is not totally bounded contains a sequence with no cauchy subsequence (problem 3). Students are expected to submit their solutions by october 4, 2005.

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Pre 2010

Uploaded on 09/02/2009

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ASSIGNMENT 6
MAT 472 ·FALL 2005
Problem 1. Let (E, dE) and (F , dF) be separable metric spaces. Prove that (E×F, d) is
separable, where dis the metric on E×Fdefined by
d((e, f ),(e0, f0)) = max{dE(e, e0), dF(f , f0)}.
A metric space (E, d) is totally bounded if for each > 0 there exists a finite set FE
such that
E=[
pF
B(p).
Problem 2. Prove that every totally bounded metric space is separable.
Problem 3 (See Problem III.36).Suppose (E, d) is a metric space which is not totally
bounded. Prove that there exists a sequence in Ewhich has no Cauchy subsequence.
Date: September 29, 2005 / Due Date : Tuesday, October 4, 2005.
S. Kaliszewski, Department of Mathematics and Statistics, Arizona State University.
1

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ASSIGNMENT 6

MAT 472 · FALL 2005

Problem 1. Let (E, dE ) and (F, dF ) be separable metric spaces. Prove that (E × F, d) is separable, where d is the metric on E × F defined by

d((e, f ), (e′, f ′)) = max{dE (e, e′), dF (f, f ′)}.

A metric space (E, d) is totally bounded if for each  > 0 there exists a finite set F ⊆ E such that E =

p∈F

B(p).

Problem 2. Prove that every totally bounded metric space is separable.

Problem 3 (See Problem III.36). Suppose (E, d) is a metric space which is not totally bounded. Prove that there exists a sequence in E which has no Cauchy subsequence.

Date: September 29, 2005 / Due Date: Tuesday, October 4, 2005. S. Kaliszewski, Department of Mathematics and Statistics, Arizona State University. 1