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172 Chapter 3. Maps Between Spaces<br />

Thus the function is an isomorphism, and we can say that any n-dimensional<br />

space is isomorphic to the n-dimensional space R n . Consequently, as noted at<br />

the start, any two spaces with the same dimension are isomorphic. QED<br />

2.5 Remark The parenthetical comment in that proof about the role played<br />

by the ‘one and only one representation’ result requires some explanation. We<br />

need to show that each vector in the domain is associated by Rep B with one<br />

and only one vector in the codomain.<br />

A contrasting example, where an association doesn’t have this property, is<br />

illuminating. Consider this subset of P2, which is not a basis.<br />

A = {1+0x +0x 2 , 0+1x +0x 2 , 0+0x +1x 2 , 1+1x +2x 2 }<br />

Call those four polynomials �α1, ... , �α4. If, mimicing above proof, we try to<br />

write the members of P2 as �p = c1�α1 + c2�α2 + c3�α3 + c4�α4, and associate �p<br />

with the four-tall vector with components c1, ... , c4 then there is a problem.<br />

For, consider �p(x) =1+x + x 2 . The set A spans the space P2, so there is at<br />

least one four-tall vector associated with �p. But A is not linearly independent<br />

so vectors do not have unique decompositions. In this case, both<br />

�p(x) =1�α1 +1�α2 +1�α3 +0�α4 and �p(x) =0�α1 +0�α2 − 1�α3 +1�α4<br />

and so there is more than one four-tall vector associated with �p.<br />

⎛ ⎞<br />

1<br />

⎜<br />

⎜1<br />

⎟<br />

⎝1⎠<br />

0<br />

and<br />

⎛ ⎞<br />

0<br />

⎜ 0 ⎟<br />

⎝−1⎠<br />

1<br />

If we are trying to think of this association as a function then the problem is<br />

that, for instance, with input �p the association does not have a well-defined<br />

output value.<br />

Any map whose definition appears possibly ambiguous must be checked to<br />

see that it is well-defined. For the above proof that check is Exercise 19.<br />

That ends the proof of Theorem 2.2. We say that the isomorphism classes<br />

are characterized by dimension because we can describe each class simply by<br />

giving the number that is the dimension of all of the spaces in that class.<br />

This subsection’s results give us a collection of representatives of the isomorphism<br />

classes. ∗<br />

2.6 Corollary A finite-dimensional vector space is isomorphic to one and only<br />

one of the R n .<br />

2.7 Remark The proofs above pack many ideas into a small space. Through<br />

the rest of this chapter we’ll consider these ideas again, and fill them out. For a<br />

taste of this, we will close this section by indicating how we can expand on the<br />

proof of Lemma 2.4.<br />

∗ More information on equivalence class representatives is in the appendix.

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