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Linear Algebra

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244 Chapter 3. Maps Between Spaces<br />

and check it against ˆ D<br />

11 + 3 √ 3<br />

6<br />

·<br />

� �<br />

−1<br />

+<br />

0<br />

1+3√3 ·<br />

6<br />

to see that it is the same result as above.<br />

� �<br />

2<br />

=<br />

3<br />

2.2 Example On R3 the map<br />

⎛<br />

⎝ x<br />

⎞<br />

y⎠<br />

z<br />

t<br />

⎛ ⎞<br />

y + z<br />

↦−→ ⎝x + z⎠<br />

x + y<br />

� √<br />

(−3+ 3)/2<br />

(1 + 3 √ �<br />

3)/2<br />

that is represented with respect to the standard basis in this way<br />

⎛<br />

0 1<br />

⎞<br />

1<br />

RepE3,E3 (t) = ⎝1<br />

1<br />

0<br />

1<br />

1⎠<br />

0<br />

can also be represented with respect to another basis<br />

⎛ ⎞ ⎛ ⎞ ⎛ ⎞<br />

1 1 1<br />

if B = 〈 ⎝−1⎠<br />

, ⎝ 1 ⎠ , ⎝1⎠〉<br />

0 −2 1<br />

⎛<br />

−1<br />

then RepB,B(t) = ⎝ 0<br />

0<br />

0<br />

−1<br />

0<br />

⎞<br />

0<br />

0⎠<br />

2<br />

in a way that is simpler, in that the action of a diagonal matrix is easy to<br />

understand.<br />

Naturally, we usually prefer basis changes that make the representation easier<br />

to understand. When the representation with respect to equal starting and<br />

ending bases is a diagonal matrix we say the map or matrix has been diagonalized.<br />

In Chaper Five we shall see which maps and matrices are diagonalizable,<br />

and where one is not, we shall see how to get a representation that is nearly<br />

diagonal.<br />

We finish this subsection by considering the easier case where representations<br />

are with respect to possibly different starting and ending bases. Recall<br />

that the prior subsection shows that a matrix changes bases if and only if it<br />

is nonsingular. That gives us another version of the above arrow diagram and<br />

equation (∗).<br />

2.3 Definition Same-sized matrices H and ˆ H are matrix equivalent if there<br />

are nonsingular matrices P and Q such that ˆ H = PHQ.<br />

2.4 Corollary Matrix equivalent matrices represent the same map, with respect<br />

to appropriate pairs of bases.<br />

Exercise 19 checks that matrix equivalence is an equivalence relation. Thus<br />

it partitions the set of matrices into matrix equivalence classes.

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