Serlo: EN: Epimorphisms
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Linear maps preserve linear combinations. We now learn about special linear maps that preserve generators. These are called epimorphisms.
Motivation and derivation
In the article on monomorphisms we considered linear maps which map linearly independent vectors to linearly independent vectors. There we found out that these maps are exactly injective linear maps. Injective linear maps therefore "preserve" linear independence.
Using the linear independence, we could express the intuitive dimension notion in mathematical (linear algebra) terms. There, we also encountered generators. Now: Are there also linear maps that preserve generators?
So let be two -vector spaces over the same field and a generator. Now, what properties must a linear map satisfy, in order for being a generator of vector space ? For this, we would need to be able to represent any as a linear combination of . That is, we need to find such that Vorlage:Einrücken Since the map is linear, this is equivalent to Vorlage:Einrücken So must be in the image of . This is said to hold for every . Thus is a necessary condition for to preserve generators.
Is this also a sufficient condition? Let . We investigate whether every can be represented as a linear combination of . Because we have for any a vector with . Since is a generator of , there are some linear combination factors with Vorlage:Einrücken So we can write as: Vorlage:Einrücken And hence is within the generated space of the .
Thus, the linear map preserves generators if and only if . Moreover, satisfies exactly if is surjective. Thus, a linear map must be surjective to have the generating property. We call surjective linear maps epimorphisms.
Definition
Mathe für Nicht-Freaks: Vorlage:Definition
Equivalent characterization of epimorphisms
We have already considered in the motivation that surjective linear maps are exactly the maps that preserve generators.
Because the case of finite generators is more important than the general statement, we consider this case first. Then we investigate what we need to change for the general case:
Mathe für Nicht-Freaks: Vorlage:Satz
Now we generalize to vector spaces of arbitrary dimension:
Mathe für Nicht-Freaks: Vorlage:Satz
We will now be introduced to a second (category-theoretic) characterization of epimorphisms, the possibility of being "right shortened":
Mathe für Nicht-Freaks: Vorlage:Satz
Examples
Mathe für Nicht-Freaks: Vorlage:Beispiel
Mathe für Nicht-Freaks: Vorlage:Beispiel
Exercises
Mathe für Nicht-Freaks: Vorlage:Aufgabe
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