Bolzano–Weierstrass theorem explained
. The theorem states that each infinite
bounded sequence in
has a
convergent subsequence.
[1] An equivalent formulation is that a
subset of
is
sequentially compact if and only if it is
closed and
bounded.
[2] The theorem is sometimes called the
sequential compactness theorem.
[3] History and significance
The Bolzano–Weierstrass theorem is named after mathematicians Bernard Bolzano and Karl Weierstrass. It was actually first proved by Bolzano in 1817 as a lemma in the proof of the intermediate value theorem. Some fifty years later the result was identified as significant in its own right, and proved again by Weierstrass. It has since become an essential theorem of analysis.
Proof
First we prove the theorem for
(set of all
real numbers), in which case the ordering on
can be put to good use. Indeed, we have the following result:
Lemma: Every infinite sequence
in
has an infinite
monotone subsequence (a subsequence that is either non-decreasing or non-increasing).
Proof[4] : Let us call a positive integer-valued index
of a sequence a "peak" of the sequence when
for every
. Suppose first that the sequence has infinitely many peaks, which means there is a subsequence with the following indices
and the following terms
\geq
\geq
\geq...\geq
\geq...
. So, the infinite sequence
in
has a monotone (non-increasing) subsequence, which is
. But suppose now that there are only finitely many peaks, let
be the final peak if one exists (let
otherwise) and let the first index of a new subsequence
be set to
. Then
is not a peak, since
comes after the final peak, which implies the existence of
with
and
. Again,
comes after the final peak, hence there is an
where
with
. Repeating this process leads to an infinite non-decreasing subsequence
, thereby proving that every infinite sequence
in
has a monotone subsequence.
Now suppose one has a bounded sequence in
; by the lemma proven above
there exists a monotone subsequence, likewise also bounded. It follows from the
monotone convergence theorem that this subsequence converges.
Finally, the general case (
), can be reduced to the case of
as follows: given a bounded sequence in
, the sequence of first coordinates is a bounded real sequence, hence it has a convergent subsequence. One can then extract a sub-subsequence on which the second coordinates converge, and so on, until in the end we have passed from the original sequence to a subsequence
times - which is still a subsequence of the original sequence - on which each coordinate sequence converges, hence the subsequence itself is convergent.
Alternative proof
There is also an alternative proof of the Bolzano–Weierstrass theorem using nested intervals. We start with a bounded sequence
:
Because we halve the length of an interval at each step, the limit of the interval's length is zero. Also, by the nested intervals theorem, which states that if each
is a closed and bounded interval, say
with
then under the assumption of nesting, the intersection of the
is not empty. Thus there is a number
that is in each interval
. Now we show, that
is an
accumulation point of
.
Take a neighbourhood
of
. Because the length of the intervals converges to zero, there is an interval
that is a subset of
. Because
contains by construction infinitely many members of
and
, also
contains infinitely many members of
. This proves that
is an accumulation point of
. Thus, there is a subsequence of
that converges to
.
Sequential compactness in Euclidean spaces
Definition: A set
is sequentially compact if every sequence
in
has a convergent subsequence converging to an element of
.Theorem:
is sequentially compact if and only if
is closed and bounded.Proof: (sequential compactness implies closed and bounded)
Suppose
is a subset of
with the property that every sequence in
has a subsequence converging to an element of
. Then
must be bounded, since otherwise the following unbounded sequence
can be constructed. For every
, define
to be any arbitrary point such that
. Then, every subsequence of
is unbounded and therefore not convergent. Moreover,
must be closed, since any limit point of
, which has a sequence of points in
converging to itself, must also lie in
.
Proof: (closed and bounded implies sequential compactness)
Since
is bounded, any sequence
is also bounded. From the Bolzano-Weierstrass theorem,
contains a subsequence converging to some point
. Since
is a limit point of
and
is a closed set,
must be an element of
.Thus the subsets
of
for which every sequence in A
has a subsequence converging to an element of
- i.e., the subsets that are sequentially compact in the subspace topology - are precisely the closed and bounded subsets.This form of the theorem makes especially clear the analogy to the Heine–Borel theorem, which asserts that a subset of
is
compact if and only if it is closed and bounded. In fact, general topology tells us that a
metrizable space is compact if and only if it is sequentially compact, so that the Bolzano–Weierstrass and Heine–Borel theorems are essentially the same.
Application to economics
There are different important equilibrium concepts in economics, the proofs of the existence of which often require variations of the Bolzano–Weierstrass theorem. One example is the existence of a Pareto efficient allocation. An allocation is a matrix of consumption bundles for agents in an economy, and an allocation is Pareto efficient if no change can be made to it that makes no agent worse off and at least one agent better off (here rows of the allocation matrix must be rankable by a preference relation). The Bolzano–Weierstrass theorem allows one to prove that if the set of allocations is compact and non-empty, then the system has a Pareto-efficient allocation.
See also
References
- Book: Bartle . Robert G. . Robert G. Bartle. Sherbert . Donald R. . 2000 . Introduction to Real Analysis . registration . 3rd . New York . J. Wiley . 9780471321484 .
- Book: Fitzpatrick, Patrick M. . 2006 . Advanced Calculus . 2nd . Belmont, CA . Thomson Brooks/Cole . 0-534-37603-7 .
External links
Notes and References
- Bartle and Sherbert 2000, p. 78 (for R).
- Fitzpatrick 2006, p. 52 (for R), p. 300 (for Rn).
- Fitzpatrick 2006, p. xiv.
- Bartle and Sherbert 2000, pp. 78-79.