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Lecture Notes in Differential Equations - Bruce E. Shapiro

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125<br />

Simplify<strong>in</strong>g<br />

4x − 2 + 3z = 0 (14.62)<br />

x + 3 + z = 0 (14.63)<br />

x + 3 + z = 0 (14.64)<br />

The second and third equations are now the same because we have fixed<br />

one of the values. The rema<strong>in</strong><strong>in</strong>g two equations give two equations <strong>in</strong> two<br />

unknowns:<br />

4x + 3z = 2 (14.65)<br />

x + z = −3 (14.66)<br />

The solution is x = 11, z = −14. Therefore an eigenvalue of A correspond<strong>in</strong>g<br />

to λ = −2 is v = (11, 1, −14), as is any constant multiple of this vector.<br />

Def<strong>in</strong>ition 14.31. The ma<strong>in</strong> diagonal of a square matrix A is the list<br />

(a 11 , a 22 , . . . , a nn ).<br />

Def<strong>in</strong>ition 14.32. A diagonal matrix is a square matrix that only has<br />

non-zero entries on the ma<strong>in</strong> diagonal.<br />

Theorem 14.33. The eigenvalues of a diagonal matrix are the elements<br />

of the diagonal.<br />

Def<strong>in</strong>ition 14.34. An upper (lower) triangular matrix is a square<br />

matrix that only has nonzero entries on or above (below) the ma<strong>in</strong> diagonal.<br />

Theorem 14.35. The eigenvalues of an upper (lower) triangular matrix<br />

l<strong>in</strong>e on the ma<strong>in</strong> diagonal.

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