12.07.2015 Views

Linear Algebra

Linear Algebra

Linear Algebra

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Section IV. Jordan Form 3972.5 Example This matrix has characteristic polynomial (x − 4) 4⎛⎞4 1 0 −10 3 0 1T = ⎜⎟⎝0 0 4 0⎠1 0 0 5and so has the single eigenvalue 4. The nullities are: the null space of t − 4 hasdimension two, the null space of (t − 4) 2 has dimension three, and the null spaceof (t − 4) 3 has dimension four. Thus, t − 4 has the action on a string basis of⃗β 1 ↦→ ⃗β 2 ↦→ ⃗β 3 ↦→ ⃗0 and ⃗β 4 ↦→ ⃗0. This gives the canonical form N for t − 4,which in turn gives the form for t.⎛ ⎞4 0 0 01 4 0 0N + 4I = ⎜ ⎟⎝0 1 4 0⎠0 0 0 4An array that is all zeroes, except for some number λ down the diagonal andblocks of subdiagonal ones, is a Jordan block. We have shown that Jordan blockmatrices are canonical representatives of the similarity classes of single-eigenvaluematrices.2.6 Example The 3×3 matrices whose only eigenvalue is 1/2 separate into threesimilarity classes. The three classes have these canonical representatives.⎛⎞ ⎛⎞ ⎛⎞1/2 0 0 1/2 0 0 1/2 0 0⎜⎟ ⎜⎟ ⎜⎟⎝ 0 1/2 0⎠⎝ 1 1/2 0⎠⎝ 1 1/2 0⎠0 0 1/2 0 0 1/2 0 1 1/2In particular, this matrix⎛⎞1/2 0 0⎜⎟⎝ 0 1/2 0⎠0 1 1/2belongs to the similarity class represented by the middle one, because we haveadopted the convention of ordering the blocks of subdiagonal ones from thelongest block to the shortest.We will now finish the program of this chapter by extending this work tocover maps and matrices with multiple eigenvalues. The best possibility forgeneral maps and matrices would be if we could break them into a part involvingtheir first eigenvalue λ 1 (which we represent using its Jordan block), a part withλ 2 , etc.This best possibility is what happens. For any transformation t: V → V, weshall break the space V into the direct sum of a part on which t − λ 1 is nilpotent,a part on which t − λ 2 is nilpotent, etc.Suppose that t: V → V is a linear transformation. The restriction ∗ of t to asubspace M need not be a linear transformation on M because there may be an∗ More information on restrictions of functions is in the appendix.

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

Saved successfully!

Ooh no, something went wrong!