Introductory university-level calculus, linear algebra, abstract algebra, probability, statistics, and stochastic processes.
Countable sets, uncountable sets
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The cardinalities (numbers of elements) of the sets , , , are all infinite. Which one is "larger" or "smaller"? It turns out that the sets , , and all have the "same" number of elements and are called countable, whereas contains a far greater number of elements and is called uncountable. But how can we "count" infinities?
The sets and have no elements in common, but they have the same number of elements (i.e., 4). Note that there are bijections between them. For example, (but not limited to)
Quiz. How many bijections are possible from to ?
Any finite set with elements (i.e., ) may be written as
Note that this means there is a bijection from to , that is, for each . If a set is not finite, then there may or may not be a bijection from to , and there is a crucial difference between the two cases.
Definition (Countable sets, uncountable sets)
A non-empty set is said to be countable if the elements of may be enumerated as a finite or infinite sequence of the form . If is finite and has elements, then ; if is infinite then . Sets that are not countable are said to be uncountable.
Remark. Some authors define a countable set as a set to which there exists a bijection from . In that case, a countable set is necessarily infinite, and a set that is either finite or countable is said to be at most countable or discrete. □
Example. The set of strictly negative integers given by is countable. The bijection from to is given by for . □
Example. The set is countable. To see this we define a function by
This function can be shown to be a bijection (exercise!). □
The following theorem is trivial.
Theorem
Any subset of a countable set is countable.
Proof. Trivial. ■
Example. The set of even integers, , is countable. □
Example. Let be a set of elements having double suffices such that
We may write down the elements in a 2-dimensional array (like a matrix):
This 2-dimensional array can be "serialized" in a unique manner:
Each element of the array appears precisely once in this sequence, and all the elements are enumerated. Thus, this set is countable. □
Exercise. Construct a bijection between and in the above example. □
Theorem (Union of countable sets)
The union of a countable number of (countably many) countable sets is countable. That is, let be countable sets. Then is countable.
Proof. Let be countable sets. Let us enumerate their elements as follow:
Then, the elements of may be written as a 2-dimensional array which is countable by the above Example. ■
Example. Here's is another way to prove that is countable. , and are countable. Thus, so is
□
Theorem (Cartesian product of finitely many countable sets)
The Cartesian product of a finite number of countable sets is countable.
Proof. Let and . If we represent the elements of as , then it is evident that the Cartesian product is countable.
More generally, let be countable sets. Note that their Cartesian product may be represented as
The right-hand side is the Cartesian product of two countable sets (assuming is countable). Thus, by mathematical induction, this set is countable. ■
Corollary
, the set of rational numbers, is countable.
Proof. Consider the set of strictly positive rational numbers. Its elements can be expressed as where . By the correspondence , it is easy to see that is countable. The rest is exercise. ■
Note that the theorem applies to the Cartesian product of finitely many countable sets. Guess what happens if we relax this condition to the Cartesian product of countably many countable sets: . Is this still countable? As we will see below, the answer is negative.
Lemma
Let be the set of all maps from to ,
Then, is uncountable.
Proof. We prove this by contradiction.
Suppose is countable. Then, we can enumerate all the maps from to . So, we can write . Then, for every map from to , there is some such that is that map. Let us define as follows:
for each . Certainly, , and hence, there must be some element such that . However, for all , we have by the above construction, so cannot be in . This is a contradiction. ■
Remark. Let's examine this proof more closely. Note that each map in in the above Lemma can be regarded as an element of , the Cartesian product of infinitely many . That is, each element of this Cartesian product can be written as
for some . If were countable (which is not true!), its elements would be enumerated in the matrix form as
The map in the proof is constructed by taking the diagonal elements, , of this matrix and swapping 0 and 1. This must be one of the rows of this matrix. But cannot match any of the rows! This type of proving strategy is called Cantor's diagonal argument. It is useful in many situations. □
Theorem
, the set of real numbers, is uncountable.
Proof. It suffices to prove that the set of real numbers in the interval is uncountable. Each real number in the binary format is represented as where each is either 0 or 1. This correspondence makes the bijection . Since is uncountable, so is . ■
Thus, the sets , , and all have the "same" number of elements. The cardinality of these sets is represented by (read "aleph-naught" or "aleph-zero"; is the first letter of the Hebrew alphabet, corresponding to ا (alif) in Arabic (Hebrew and Arabic both belong to the Semitic language family) or in Greek).
has a far "greater" number of elements. Its cardinality is represented by . In the proof of the above theorem, we see that and are isomorphic (i.e., there exists a bijection between them). Thus, its cardinality is (if this makes any sense). Therefore, we seem to have
In summary, and are both infinite, but there is a huge difference. (Actually, the situation is a lot more complicated than this. See Aleph number on Wikipedia for further information.)
Perhaps, the most important lesson here is that if things involve infinity, something strange can happen so that we can't rely on our intuition.
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In mathematics, we must prove (almost) everything and the proofs must be done logically and rigorously. Therefore, we need some understanding of basic logic. Here, I will informally explain some rudimentary formal logic. Definitions (Proposition): A proposition is a statement that is either true or false. "True" and "false" are called the truth values, and are often denoted and . Here is an example. "Dr. Akira teaches at UBD." is a statement that is either true or false (we understand the existence of Dr. Akira and UBD), hence a proposition. The following statement is also a proposition, although we don't know if it's true or false (yet): Any even number greater than or equal to 4 is equal to a sum of two primes. See also: Goldbach's conjecture Next, we define several operations on propositions. Note that propositions combined with these operations are again propositions. (Conjunction, logical "and"): Let ...
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