Algebra Lineal David C Lay Solucionario

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7.1 SOLUTIONS

Descarga el solucionario de Algebra lineal y sus aplicaiones 4a Edicion de David C.

Notes: Students can profit by reviewing Section 5.3 (focusing on the Diagonalization Theorem) before working on this section. Theorems 1 and 2 and the calculations in Examples 2 and 3 are important for the sections that follow. Note that symmetric matrix means real symmetric matrix, because all matrices in the text have real entries, as mentioned at the beginning of this chapter. The exercises in this section have been constructed so that mastery of the Gram-Schmidt process is not needed.

Theorem 2 is easily proved for the 2 2 case:

If ,a b

Ac d

= then ( )2 21 ( ) 4 .2 a d a d b = + + If b = 0 there is nothing to prove. Otherwise, there are two distinct eigenvalues, so A must be diagonalizable.

In each case, an eigenvector for is .db

1. Since 3 5

,5 7

Algebra Lineal David C Lay Solucionario E

TA A = = the matrix is symmetric.

2. Since 3 5

,5 3

David C Lay Linear Algebra

TA A

Solucionario

Algebra Lineal David C Lay Solucionario Del

= the matrix is not symmetric.

3. Since 2 2

,4 4

TA A = the matrix is not symmetric.

4. Since 0 8 38 0 2 ,3 2 0

TA A

= =

the matrix is symmetric.

5. Since 6 2 00 6 2 ,0 0 6

Solucionario Algebra Lineal David C Lay 3ra Edicion

Solucionario algebra lineal david c lay 3ra edicion

TA A

=

Algebra Lineal David C Lay Solucionario De La

the matrix is not symmetric.

Algebra Lineal David C Lay Solucionario Y

6. Since A is not a square matrix TA A and the matrix is not symmetric.