23.07.2012 Views

Linear Algebra

Linear Algebra

Linear Algebra

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

240 Chapter 3. Maps Between Spaces<br />

elementary matrices M = R1 −1 ···Rr −1 . Thus, we will be done if we show<br />

that elementary matrices change a given basis to another basis, for then Rr −1<br />

changes B to some other basis Br, and Rr−1 −1 changes Br to some Br−1,<br />

... , and the net effect is that M changes B to B1. We will prove this about<br />

elementary matrices by covering the three types as separate cases.<br />

Applying a row-multiplication matrix<br />

⎛ ⎞ ⎛ ⎞<br />

c1 c1<br />

⎜ . ⎟ ⎜ . ⎟<br />

⎜ . ⎟ ⎜<br />

⎟ ⎜ . ⎟<br />

Mi(k) ⎜ci<br />

⎟<br />

⎜ ⎟ = ⎜kci⎟<br />

⎜ ⎟<br />

⎜ . ⎟ ⎜<br />

⎝ .<br />

. ⎟<br />

. ⎠ ⎝ . ⎠<br />

cn<br />

changes a representation with respect to 〈 � β1,..., � βi,..., � βn〉 to one with respect<br />

to 〈 � β1,...,(1/k) � βi,..., � βn〉 in this way.<br />

�v = c1 · � β1 + ···+ ci · � βi + ···+ cn · � βn<br />

cn<br />

↦→ c1 · � β1 + ···+ kci · (1/k) � βi + ···+ cn · � βn = �v<br />

Similarly, left-multiplication by a row-swap matrix Pi,j changes a representation<br />

with respect to the basis 〈 � β1,..., � βi,..., � βj,..., � βn〉 into one with respect to the<br />

basis 〈 � β1,..., � βj,..., � βi,..., � βn〉 in this way.<br />

�v = c1 · � β1 + ···+ ci · � βi + ···+ cj � βj + ···+ cn · � βn<br />

↦→ c1 · � β1 + ···+ cj · � βj + ···+ ci · � βi + ···+ cn · � βn = �v<br />

And, a representation with respect to 〈 � β1,..., � βi,..., � βj,..., � βn〉 changes via<br />

left-multiplication by a row-combination matrix Ci,j(k) into a representation<br />

with respect to 〈 � β1,..., � βi − k � βj,..., � βj,..., � βn〉<br />

�v = c1 · � β1 + ···+ ci · � βi + cj � βj + ···+ cn · � βn<br />

↦→ c1 · � β1 + ···+ ci · ( � βi − k � βj)+···+(kci + cj) · � βj + ···+ cn · � βn = �v<br />

(the definition of reduction matrices specifies that i �= k and k �= 0 and so this<br />

last one is a basis). QED<br />

1.5 Corollary A matrix is nonsingular if and only if it represents the identity<br />

map with respect to some pair of bases.<br />

In the next subsection we will see how to translate among representations<br />

of maps, that is, how to change Rep B,D(h) toRepˆ B, ˆ D (h). The above corollary<br />

is a special case of this, where the domain and range are the same space, and<br />

where the map is the identity map.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!