Chapter 5: Cauchy Sequences and Completeness Flashcards
DEF 5.1: CAUCHY SEQUENCE
We say that a sequence x_1, x_2, . . . in a metric space
X is a Cauchy sequence if for all ε > 0, there exists N such that
d(xₘ, xₙ) < ε whenever m, n > N.
Lemma 5.2: CAUCHY and convergence?
In a metric space (X, d), every convergent sequence
is Cauchy.
Do cauchy sequences always converge?
Cauchy sequences do not always converge:
e.g. in Q, sequence 3/1, 31/10, 314/100,…. where the nth term is π to n−1 decimal places,
is cauchy since its a convergent sequence in R but limit π isn’t in Q. So sequence isn’t convergent in the metric space Q despite being a Cauchy sequence.
EXAMPLE: metric space and sequence properties
Let (X, d) be a metric space, let (xn) be a sequence
in X, and suppose that
d(x_(n+1), x_(n+2)) ≤ 0.5 d(x_n, x_(n+1)) for all n > 1.
This says that the distance between consecutive terms
x_m, x_{m+1} halves every time m increases. Then (x_n) is cauchy. Show this:
we have d(xn, xn−1) ≤(1/2^{n−2})d(x_2, x_1), so that if n > m we have
d(x_m, x_n) ≤ d(xm, xm+1) + · · · + d(xn−1, xn)
≤ d(x1, x2) ×[1/(2^{m−1})+ · · · +1/(2^{n−2})
≤ d(x1, x2) × [1/(2m−1) + 1/2m+ · · · ] = d(x_2, x_1)/(2^{m−2})
where we used the formula for geometric series on the last line. This last quantity converges to 0 as m → ∞. So for ε > 0, take
N to be sufficiently large so that d(x2,x1)/(2^{m−2} < ε for all m > N. Then d(xn, xm) < ε whenever n, m > N. This proves that (xn) is Cauchy.
Prop 5.10
Let X be a complete metric space, and let A be
a closed subset of X. Then A is complete.
Proof*****
Proof
Let a1, a2, . . . be a Cauchy sequence in A. Then it is also
a Cauchy sequence in X, and therefore converges to some x ∈ X. Since A is a closed subset of X, x ∈ A, so A is complete
Prop 5.11
Let A be a complete subset of a metric space X.
Then A is closed.
Proof *****
Proof
Let (xn) be a sequence in A that converges to x ∈ X. We
need to show that x ∈ A. By Lemma 5.2, (xn) is a Cauchy sequence and so, since A is complete, it converges to some a ∈ A. Since limits
are unique, a = x and x ∈ A as required.
Theorem 5.14
C[a, b], d∞
(C[a, b], d∞) is complete.
Lemma 5.2: CAUCHY and convergence?
Proof****
In a metric space (X, d), every convergent sequence
is Cauchy.
Proof. Suppose that the sequence (x_n) → x. Let ε > 0. Then there exists N such that d(x_n, x) less than ε/2 for all n > N. For n, m > N, we then have
d(x_n, x_m) ≤ d(x_n, x) + d(x,x_m) < ε/2 + ε/2 = ε,
so that (x_n) is Cauchy.
Example 5.4. Consider the space C[0, 1] of continuous functions on the closed interval [0, 1], with the metric d1. Define the sequence (f_n) by
f_n(x)=
{0 if x ≤ 0.5
{n(x-0.5) if 0.5 ≤ x≤ 0.5 +1/n
{1 if 1/2 +1/n ≤ x.
cauchy?
d_1(fn, fm) = (1/2)(1/m−1/n)
less than 1/2m for m less than n.
(work this out for practice)
Then given ε bigger than 0, take N to be the smallest natural number exceeding 1/2ε. If m,n bigger than N then assume n bigger than m st
d_1(f_n,f_m) is less than 1/2m is less than 1/2N is less than ε and therefore (f_n) is cauchy.
Definition 5.5. Completeness
The metric space X is complete if every Cauchy
sequence (xn) in X converges to a limit x ∈ X. More generally, a subset A ⊆ X is complete if every Cauchy sequence in A converges
to a limit in A.
example 5.6: is Q complete
Q is not complete. In Q, the sequence 1/1, 14/10 ,141/100 , . . .,
where the nth term is √2 to n − 1 decimal places, is Cauchy (since it is a convergent sequence in R) but its limit is √2, which is not
in Q. So the sequence is not convergent in the metric space Q, even though it is a Cauchy sequence.
THM 5.7
cauchy sequence and limit of subsequence
Let (xn) be a Cauchy sequence in a metric space(X, d) and let a ∈ X. If (xn) has a subsequence (x_nk) converging to a, then (x_n) converges to a
Bolzano-Weierstrass Theorem, remark
Bolzano-Weierstrass Theorem, MAS221). Let (xn)
be a sequence of real numbers which is bounded, i.e. there are some
α, β such that α 6 xn 6 β for all n. Then the sequence (xn) has a
convergent subsequence.
Theorem 5.9. is R complete
R is complete.
Proposition 5.10.
subsets of complete metric spaces
Let X be a complete metric space, and let A be
a closed subset of X. Then A is complete.