Here I’d like to make precise some notions that we’ve talked about in class, provide proofs of results that have been mentioned but remained dangling without proof, and give some examples and counter-examples. A few times I shall wave hands or base an argument on purely intuitive grounds in view of the lack of sophisticated mathematical machinery that is required to make these arguments precise (such as, for instance, some basic notions of topology and measure theory).
Let’s recall first basic definitions:
Given a set , if
is a finite set (in this case this is a purely intuitive notion), then the cardinality of
, denoted
, is the number of elements in the set
. So, for instance, if
, then
. In particular, if
, then
.
To define cardinality for a set containing infinitely many elements (again, a notion which is purely intuitive, but see the end of this post) is a hard and messy business. So, instead we shall define what it means for two (nonempty) sets and
to have the same cardinality.
Definition: We say that sets and
have the same cardinality, and write
, provided that there exists a bijection (a map which is one-to-one and onto)
.
Lemma 1: Equality as defined for cardinalities is an equivalence relation. That is, for all sets one has
.
- If
, then
.
- If
and
then
.
As an exercise, prove Lemma 1. The proof is straightforward. For (1) consider the identity map. For (2) keep in mind that a bijective map (a map that is 1-to-1 and onto) has a bijective inverse (prove this). For (3) prove that a composition of bijective maps is again a bijective map.
Lemma 2: If and
are finite sets, then
if and only if they have the same number of elements.
Proof: Suppose that consists of
elements and
consists of
elements.
If , denote the elements of
by
and the elements of
by
. Then let
by given by
.
In the other direction, assume that . Assume, without loss of generality, that
. By definition, there exists a function
which is onto from
to
. Hence
, when viewed as a set of ordered pairs, must contain at least
ordered pairs, with no repeating first coordinates. But the first coordinates take as values elements of
, of which there are only
, which is strictly less than
. Can’t be!
This completes the proof.
Essentially this theorem tells us that the definition in terms of a bijective function, and that in terms of number of elements (for finite sets) agree.
Notation: From now on we shall write for
, not to be confused with the absolute value.
Definition: Given sets and
, we say that
if there does not exist an onto map
. We say that
provided that there exists an onto map
.
Remark: If is one-to-one, then
. This is easy to prove: since
is one-to-one (but nothing is being said about onto), let
be the range of
in
, then
is one-to-one and onto. If it so happens that
, then by definition
is one-to-one and onto
, hence
.
Suppose that (that is, the range of
is smaller than all of
), then, since
is one-to-one and onto,
has an inverse
. Now fix some
(that is, pick some
and let it be fixed for the rest of our discussion). Define the function
as follows:
Then is onto, hence by definition
.
Lemma 3: If is an infinite set and
is a finite set then
.
Proof: This is left as an exercise. Again, the idea of infinity is purely intuitive here.
Definition: A set is said to be countable provided that
. A set
is said to be uncountable if it is not countable.
Definition: A nonempty set is said to be totally ordered provided that there exists a relation
on
such that for no element
do we have
and for all elements
either
or
and, further, for all
, if
and
, then
.A totally ordered set is said to be well ordered provided that for any (nonempty) subset
, there exists
such that for all
one has
. That is, every subset has a least element.
Definition: We say that is finitely well ordered provided that
is well ordered and carries the additional property that, for all
, the set
, that is, the set of all elements of
which are less than
, is finite. In other words, if one orders
by
, then there are finitely many elements preceding any
.
Remark: is finitely well ordered (easily checked).
Remark: The condition of being finitely well ordered is independent of the condition of being well ordered (i.e., is not a consequence of the well-ordering). To see this, take and add to it the element
. In this case
doesn’t mean “infinity” – it’s only a label for an element. So, let
and extend
defined on
to
by declaring that
for all
. Then clearly
is well ordered, but is not finitely well ordered, since there are infinitely many elements less than the element
.
Theorem 1: Suppose that is a finitely well ordered set. Then
is countable.
Proof: Let be finitely well ordered. We shall define a bijection
inductively as follows. Let
be the least element of
. Then let
. In general, for
let
be the least element of
. So essentially
is the
smallest element. Define
.
Now, that is a function is easily proved: for any given
, one cannot have
and
with
, for if
, then by the total order of
either
or
. In which case only one of them can be the least element of a subset, hence
cannot equal both simultaneously.
That is onto is a bit more subtle. Suppose that
. Since
is finitely well ordered, we know that there are only finitely many elements preceding
. So list them:
such that there doesn’t exist
with
. That is,
is the next smallest element after
. But then, by definition of
, we clearly have
. So
is onto.
That is one-to-one is not at all hard to check. Suppose
. But then by the total ordering on
, we must have
.
This shows that is a bijection from
onto
, hence
. This completes the proof.
Remark: The converse of Theorem 1 is false. That is, if is countable, one cannot conclude that
is finitely well ordered. For instance, take
as in the previous remark. Now consider
such that
and for
,
. One can check that
is a bijection, so
is countable. But as we’ve already seen,
is not finitely well ordered.
Lemma 4: Any subset of a finitely well ordered set is itself finitely well ordered.
Proof: Prove this as an exercise.
Theorem 2: Every subset of is either finite or countable.
Proof: Suppose that . Suppose that
is not finite. Then
is infinite and, furthermore, is finitely well ordered by Lemma 4. Hence, by Theorem 1,
is countable.
Theorem 3: A finite Cartesian product
is countable.
Proof: Consider the map given by
where
stands for the
prime. Check, as an exercise, that this function is one-to-one.
Now, it is obvious that the function is not onto (for instance, there is nothing that maps to 1). But that’s not a problem. Let be the range of this function. But then
is one-to-one and onto its range
. Hence
. On the other hand, by Theorem 2 we know that
is countable, so
. Finally by Lemma 1 we conclude that
. Hence
is countable.
Remark: In general a finite Cartesian product of countable sets is again countable. Simply replace with countable sets
, and enumerate each set
. Then obviously
Now use Theorem 3.
We shall soon see that an infinite Cartesian product of countable sets is not necessarily countable. Next we ask: well, what about the union of countable sets? Are finite unions of countable sets remain countable? Are infinite unions of countable sets remain countable?
The answer to the first question is – yes. The answer to the second question is complicated by the notion of infinity. That is – what do we mean by an infinite union? As it turns out, if we have a countable collection of sets, then their union (called countable union) is countable. If, however, we have an uncountable collection of sets, then their union is not necessarily countable.
Let us first prove that a finite, or a countable union of countable sets is countable.
Theorem 4: Suppose that is a countable collection of countable sets (that is, each
is countable and, furthermore, there are only countably many of these sets. Then their union,
is countable.
Proof: Let . Let
, let
, and in general,
for , let
.
It may seem strange why we’re doing this. But notice that (prove this as an exercise):
and, furthermore,
whenever
This is very convenient. By the first assertion, to prove that is countable, it will suffice to prove that
is countable. This task is made easier by the fact that
’s are pairwise disjoint (that is, no two of them intersect).
Since each is obviously countable (since it is equal to
minus possibly some elements, and each
is countable by hypothesis), we can list the elements of
as
and so on. To emphasise that these elements belong to
and not, say,
, let us list them as
. So each
can be written as
Hence if we set , then each element of
is of the form
, where
indicates which of the
’s it belongs to, and
indicates its index inside
. Now consider
given by
You can prove as an exercise that is a function, and is one-to-one. It is not necessarily onto
, but that’s OK. Let
be the range of
in
. Then
is one-to-one and onto
. So
. On the other hand,
, hence by the previous result,
is countable. Thus by transitivity, we must also have that
is countable. And we’re done.
Notice that we needed ’s to be pairwise disjoint, since otherwise
would not be a well-defined function.
Theorem 5: The sets are countable.
Proof: Since , then by Theorem 4
is countable. Now on to
: If
is in reduced form (that is,
and
have no common divisors other than the number
), then we can represent
as the ordered pair
. Hence
, the subset of
of positive fractions, can be represented as a subset of
, hence countable. Similarly for
. So
,
hence is countable, being a union of countable sets.
Lemma 5: Let . Now let
That is, we take the cross product of infinitely many copies of , countably many times. We claim that
is not countable. One can visualise
is the set of
-tubles
, where each
carries the value of either
or
. Essentially, these are infinite binary strings.
Proof: Suppose that is countable. Enumerate its elements as
. Now construct an infinite binary string
as follows:
by letting
be the opposite of the first entry in
,
is the opposite of the second entry in
,
is the opposite of the third entry in
, and so on (by the opposite we mean: if the entry is 0, then we take 1 as its opposite, and if the entry is 1, we take 0 as its opposite). Now, since
is an infinite binary string, certainly
. However,
is different from each of
(since the entry in the
th place of
is different from the entry in the
th place of
, just by how we constructed
in the first place).
But this is a contradiction, since we assumed that was an enumeration of
(that is, every element of
is one of those). So,
is uncountable.
Theorem 6: , the set of all real numbers, is uncountable.
Proof 1: Let be as above. Consider
(where
is the positive unit interval in
), given as follows:
where, remember, is an infinite binary string. So each
is either 0 or 1. The sum above converges, since it is not greater than the geometric series
and the element that it converges to is not greater than 1. Hence is a well-defined function and, furthermore, is one-to-one. But then, by the remark following Lemma 2,
and
is uncountable, as we saw above. Hence
is uncountable.
Proof 2: (One needs elements of measure theory to make this proof precise – we’ll simply proceed via intuiiton). Suppose that is countable. But then
must also be countable. Enumerate
. Let
be fixed. Let
But then
Now let denote the length function, that is, for any interval
we let
be the length of
. For convenience, set
We take for granted that is actually an interval. We take the following for granted too, but it is intuitively obvious, as the length of the whole thing is smaller than or equal to the sum of the lengths of its constituent parts:
On the other hand, since , we must have
. But
. So from above we get
. But
was arbitrary, so we can take it as small as we please. In particular, we may let
. Then we get
, a clear contradiction! So
is not countable and hence
is uncountable.
Theorem 7: If is any interval in
, then
.
Proof: First let us suppose that is an open interval, finite interval. Write
. Consider the map
given by
It is easy to verify that is one-to-one and onto. So
. Now consider the map
given by
. Then you can verify that this map is one-to-one and onto, hence
, and so, for any open interval
, we have
.
Now suppose that is a finite closed interval. Write
. But then
, and so
, and so
.
Similar proofs work for intervals of the form .
I think I want to stop here. I do recommend looking over the following article in Wikipedia, especially now since you understand basic things about cardinalities: Continuum Hypothesis
November 22, 2009 at 02:06 |
Hi Will, Where does cardinality fall under Tucker’s hints?
1. Be able to state definitions. With readable sentences.
2. Tautologies.
3. Addition.
4. Multiplication.
5. Product spaces.
6. Functions.
7. Equivalence relations.
8. Equivalence classes.
9. The integers.
10. The axiom of induction, what it means and how to use it in doing a proof.
11. Less than,
12. Be able to state one or more reasons for every statement of a proof.
thanks!
November 23, 2009 at 00:27 |
Well, this is supplementary material to what we’ve covered in class. So, as far as the exam is concerned: you’re only responsible for the stuff that was covered in class.