06.09.2021 Views

Linear Algebra, Theory And Applications, 2012a

Linear Algebra, Theory And Applications, 2012a

Linear Algebra, Theory And Applications, 2012a

SHOW MORE
SHOW LESS

Create successful ePaper yourself

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

256 LINEAR TRANSFORMATIONS CANONICAL FORMS<br />

By Theorem 10.2.6, the matrix of N with respect to the above basis is the block diagonal<br />

matrix<br />

⎛<br />

⎞<br />

M 1 0<br />

⎜<br />

⎝<br />

. ..<br />

⎟<br />

⎠<br />

0 M q<br />

where M k denotes the matrix of N restricted to span ( )<br />

β xk . In computing this matrix, I<br />

will order β xk<br />

as follows:<br />

(<br />

N<br />

r k −1 )<br />

x k , ··· ,x k<br />

Also the cyclic sets β x1<br />

,β x2<br />

, ··· ,β xq<br />

will be ordered according to length, the length of<br />

β xi<br />

being at least as large as the length of β xi+1<br />

. Then since N r k<br />

x k =0, it is now easy<br />

to find M k . Using the procedure mentioned above for determining the matrix of a linear<br />

transformation, ( ) 0 N<br />

r k −1 x k ··· Nx k =<br />

⎛<br />

⎞<br />

0 1 0<br />

( )<br />

.<br />

N<br />

r k −1 x k N rk−2 x k ··· x k 0 0 ..<br />

⎜<br />

⎝<br />

. ⎟<br />

. . .. 1 ⎠<br />

0 0 ··· 0<br />

Thus the matrix M k is the r k ×r k matrix which has ones down the super diagonal and zeros<br />

elsewhere. The following convenient notation will be used.<br />

Definition 10.4.3 J k (α) is a Jordan block if it is a k × k matrix of the form<br />

⎛<br />

⎞<br />

α 1 0<br />

.<br />

J k (α) =<br />

0 .. . ..<br />

⎜<br />

⎝<br />

.<br />

. .. . ⎟ .. 1 ⎠<br />

0 ··· 0 α<br />

In words, there is an unbroken string of ones down the super diagonal and the number α<br />

filling every space on the main diagonal with zeros everywhere else.<br />

Then with this definition and the above discussion, the following proposition has been<br />

proved.<br />

Proposition 10.4.4 Let N ∈L(W, W ) be nilpotent,<br />

N m =0<br />

for some m ∈ N. Here W is a p dimensional vector space with field of scalars F. Then there<br />

exists a basis for W such that the matrix of N with respect to this basis is of the form<br />

⎛<br />

⎞<br />

J r1 (0) 0<br />

J r2 (0)<br />

J = ⎜<br />

⎝<br />

. ..<br />

⎟<br />

⎠<br />

0 J rs (0)<br />

where r 1 ≥ r 2 ≥···≥r s ≥ 1 and ∑ s<br />

i=1 r i = p. In the above, the J rj (0) is a Jordan block of<br />

size r j × r j with 0 down the main diagonal.

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

Saved successfully!

Ooh no, something went wrong!