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Linear Algebra, 2020a

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Section II. Similarity 403<br />

represented with respect to the ending basis (also B)<br />

⎛<br />

⎜<br />

0<br />

⎞<br />

⎛<br />

⎟<br />

⎜<br />

0<br />

⎞<br />

⎛<br />

⎟<br />

⎜<br />

0<br />

⎞<br />

⎟<br />

Rep B (2x) = ⎝2⎠ Rep B (1) = ⎝0⎠ Rep B (0) = ⎝0⎠<br />

0<br />

1<br />

0<br />

gives the representation of the map.<br />

⎛<br />

⎜<br />

0 0 0<br />

⎞<br />

⎟<br />

T = Rep B,B (d/dx) = ⎝2 0 0⎠<br />

0 1 0<br />

Next, computing the matrix for the right-hand side involves finding the effect<br />

of the identity map on the elements of B. Of course, the identity map does<br />

not transform them at all so to find the matrix we represent B’s elements with<br />

respect to D.<br />

⎛ ⎞<br />

⎛ ⎞<br />

⎛ ⎞<br />

Rep D (x 2 )=<br />

⎜<br />

⎝<br />

−1<br />

0<br />

1<br />

⎟<br />

⎠ Rep D (x) =<br />

⎜<br />

⎝<br />

−1<br />

1<br />

0<br />

⎟<br />

⎠ Rep D (1) =<br />

⎜<br />

1 ⎟<br />

⎝0⎠<br />

0<br />

So the matrix for going down the right side is the concatenation of those.<br />

⎛<br />

⎞<br />

−1 −1 1<br />

⎜<br />

⎟<br />

P = Rep B,D (id) = ⎝ 0 1 0⎠<br />

1 0 0<br />

With that, we have two options to compute the matrix for going up on left<br />

side. The direct computation represents elements of D with respect to B<br />

⎛<br />

⎜<br />

0<br />

⎞<br />

⎛<br />

⎟<br />

⎜<br />

0<br />

⎞<br />

⎛<br />

⎟<br />

Rep B (1) = ⎝0⎠ Rep B (1 + x) = ⎝1⎠ Rep B (1 + x 2 ⎜<br />

1<br />

⎞<br />

⎟<br />

)= ⎝0⎠<br />

1<br />

1<br />

1<br />

and concatenates to make the matrix.<br />

⎛ ⎞<br />

0 0 1<br />

⎜ ⎟<br />

⎝0 1 0⎠<br />

1 1 1<br />

The other option to compute the matrix for going up on the left is to take the<br />

inverse of the matrix P for going down on the right.<br />

⎛<br />

⎞<br />

⎛<br />

−1 −1 1 1 0 0<br />

⎜<br />

⎟<br />

⎜<br />

1 0 0 0 0 1<br />

⎞<br />

⎟<br />

⎝ 0 1 0 0 1 0⎠ −→ · · · −→ ⎝0 1 0 0 1 0⎠<br />

1 0 0 0 0 1<br />

0 0 1 1 1 1

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