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Mathematical Methods for Physicists: A concise introduction - Site Map

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EIGENVECTORS OF COMMUTING MATRICES<br />

then we would have obtained (verify)<br />

0<br />

5 0<br />

1<br />

0<br />

~S 1 B ~A ~S ˆ @ 0 1<br />

C<br />

0A:<br />

0 0 1<br />

Example 3.17<br />

Show that the matrix<br />

is not diagonalizable.<br />

<br />

~A ˆ 3 2 <br />

2 1<br />

Solution:<br />

The characteristic equation of ~A is<br />

‡ 3 2<br />

2 1 ˆ… ‡ 1†2 ˆ 0:<br />

Thus ˆ1 the only eigenvalue of ~A; the eigenvectors corresponding to ˆ1<br />

are the solutions of<br />

! <br />

‡ 3 2 x1<br />

ˆ 0 <br />

) 2 2 ! x1<br />

ˆ 0 <br />

2 1 x 2 0 2 2 x 2 0<br />

from which we have<br />

2x 1 2x 2 ˆ 0;<br />

2x 1 2x 2 ˆ 0:<br />

The solutions to this system are x 1 ˆ t; x 2 ˆ t; hence the eigenvectors are of the<br />

<strong>for</strong>m<br />

<br />

t 1<br />

ˆ t :<br />

t 1<br />

A does not have two linearly independent eigenvectors, and is there<strong>for</strong>e not<br />

diagonalizable.<br />

Eigenvectors of commuting matrices<br />

There is a theorem on eigenvectors of commuting matrices that is of great importance<br />

in matrix algebra as well as in quantum mechanics. This theorem states that:<br />

Two commuting matrices possess a common set of eigenvectors.<br />

133

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