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Linear Algebra, 2020a

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Section I. Isomorphisms 183<br />

(d) Produce an isomorphism from P 2 to R 3 that fits these specifications.<br />

⎛ ⎞<br />

1<br />

x + x 2 ↦→ ⎝0⎠ and<br />

⎛ ⎞<br />

0<br />

1 − x ↦→ ⎝1⎠<br />

0<br />

0<br />

1.38 Prove that a space is n-dimensional if and only if it is isomorphic to R n . Hint.<br />

Fix a basis B for the space and consider the map sending a vector over to its<br />

representation with respect to B.<br />

1.39 (Requires the subsection on Combining Subspaces, which is optional.) Let<br />

U and W be vector spaces. Define a new vector space, consisting of the set<br />

U × W = {(⃗u, ⃗w) | ⃗u ∈ U and ⃗w ∈ W } along with these operations.<br />

(⃗u 1 , ⃗w 1 )+(⃗u 2 , ⃗w 2 )=(⃗u 1 + ⃗u 2 , ⃗w 1 + ⃗w 2 ) and r · (⃗u, ⃗w) =(r⃗u, r⃗w)<br />

This is a vector space, the external direct sum of U and W.<br />

(a) Check that it is a vector space.<br />

(b) Find a basis for, and the dimension of, the external direct sum P 2 × R 2 .<br />

(c) What is the relationship among dim(U), dim(W), and dim(U × W)?<br />

(d) Suppose that U and W are subspaces of a vector space V such that V = U ⊕ W<br />

(in this case we say that V is the internal direct sum of U and W). Show that<br />

the map f: U × W → V given by<br />

(⃗u, ⃗w)<br />

f<br />

↦−→ ⃗u + ⃗w<br />

is an isomorphism. Thus if the internal direct sum is defined then the internal<br />

and external direct sums are isomorphic.<br />

I.2 Dimension Characterizes Isomorphism<br />

In the prior subsection, after stating the definition of isomorphism, we gave some<br />

results supporting our sense that such a map describes spaces as “the same.”<br />

Here we will develop this intuition. When two (unequal) spaces are isomorphic<br />

we think of them as almost equal, as equivalent. We shall make that precise by<br />

proving that the relationship ‘is isomorphic to’ is an equivalence relation.<br />

2.1 Lemma The inverse of an isomorphism is also an isomorphism.<br />

Proof Suppose that V is isomorphic to W via f: V → W. An isomorphism is a<br />

correspondence between the sets so f has an inverse function f −1 : W → V that<br />

is also a correspondence. ∗<br />

We will show that because f preserves linear combinations, so also does f −1 .<br />

Suppose that ⃗w 1 , ⃗w 2 ∈ W. Because it is an isomorphism, f is onto and there<br />

∗ More information on inverse functions is in the appendix.

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