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Linear Algebra

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186 Chapter 3. Maps Between Spaces<br />

This description of the projection in terms of shadows is is memorable, but<br />

strictly speaking, R 2 isn’t equal to the xy-plane inside of R 3 (it is composed of<br />

two-tall vectors, not three-tall vectors). Separating the two spaces by sliding<br />

R 2 over to the right gives an instance of the general diagram above.<br />

�w2<br />

�w1<br />

�w1 + �w2<br />

The vectors that map to �w1 on the right have endpoints that lie in a vertical<br />

line on the left. One such vector is shown, in gray. Call any such member<br />

of the inverse image of �w1 a“�w1 vector”. Similarly, there is a vertical line of<br />

“ �w2 vectors”, and a vertical line of “ �w1 + �w2 vectors”.<br />

We are interested in π because it is a homomorphism. In terms of the<br />

picture, this means that the classes add; any �w1 vector plus any �w2 vector<br />

equals a �w1 + �w2 vector, simply because if π(�v1) = �w1 and π(�v2) = �w2 then<br />

π(�v1 + �v2) =π(�v1) +π(�v2) = �w1 + �w2. (A similar statement holds about the<br />

classes under scalar multiplication.) Thus, although the two spaces R 3 and R 2<br />

are not isomorphic, π describes a way in which they are alike: vectors in R 3 add<br />

like the associated vectors in R 2 —vectors add as their shadows add.<br />

2.6 Example A homomorphism can be used to express an analogy between<br />

spaces that is more subtle than the prior one. For instance, this map from R 2<br />

to R 1 is a homomorphism.<br />

� �<br />

x h<br />

↦−→ x + y<br />

y<br />

Fix two numbers a and b in the range R. Then the preservation of addition<br />

condition says this for two vectors �u and �v from the domain.<br />

� �<br />

� �<br />

u1<br />

v1<br />

if h( )=a and h( )=b then h(<br />

u2<br />

v2<br />

� u1 + v1<br />

u2 + v2<br />

�<br />

)=a + b<br />

As in the prior example, we illustrate by showing the class of vectors in the<br />

domain that map to a, the class of vectors that map to b, and the class of<br />

vectors that map to a + b. Vectors that map to a have components that add<br />

to a, so a vector is in the inverse image h −1 (a) if its endpoint lies on the line<br />

x+y = a. We can call these the “a vectors”. Similarly, we have the “b vectors”,<br />

etc. Now the addition preservation statement becomes this.

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