Map composition
We can define a new map by composing two or more maps. Map composition can be regarded as an operation between maps. As such, we can make an algebra of maps.
Definition (map composition)
Let
for each
The composition can be graphically represented as in the following commutative diagram:
Remark. As noted in the definition, we can compose if and only if .
Remark. Some authors (e.g., in computer science) prefer to write (" , then ") rather than .
Example. Suppose that
and
Then,
(Recall that .)
Theorem
Let and be maps.
- If
and are injective, then is injective. - If
and are surjective, then is surjective.
Proof.
- We assume that
and are injective. Suppose and . Since is injective, we have . Since is injective, . That is, . Thus, is injective. - We assume that
and are surjective. Since is surjective, for any , there exists some such that . For this , since is surjective, there exists some such that . In summary, for any , there exists some such that , that is, . Hence, is surjective.
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Corollary
The composition of two bijections is a bijection.
Theorem
Let , , and be maps. Then, we have
In other words, map composition is associative. This can be graphically represented in the following diagram:
Proof. For any ■
Because of this associativity, we can denote both and as without parentheses.
Theorem
Let be a map. The following are equivalent
- The map
is a bijection. - There exists a map
such that and .
Proof. ( ) Suppose is a bijection. This means that for each , there exists a unique such that . Using this unique , let us define . Thus, for each , is uniquely determined, and hence is a well-defined map. By this definition, for each , we have . Thus, Similarly, for each , we have , and hence
( ) Suppose that such as given above exists. Then, for each , so that . This means that . is trivial. Hence, , and is surjective. Next, suppose that and . Apply on both sides, and we have . But, so we have , and hence . Thus, is injective. In summary, is both surjective and injective, so it is bijective.
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Remark. The map in the above theorem is called the inverse map of and is denoted as . It should be obvious that the inverse map of is . □
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