422 CHAPTER 15. NUMERICAL METHODS, EIGENVALUES

Now solve  −163 2 3

2 − 133 1

3 1 − 73

 x

yz

=

 .69925.49389

1.0

and divide by the largest entry, 2.9979 to get

u3 =

 .71473.52263

1.0

Now solve  −

163 2 3

2 − 133 1

3 1 − 73

 x

yz

=

 .71473.52263

1.0

and divide by the largest entry, 3.0454, to get

u4 =

 .7137.52056

1.0

Solve  −

163 2 3

2 − 133 1

3 1 − 73

 x

yz

=

 .7137.52056

1.0

and divide by the largest entry, 3.0421 to get

u5 =

 .71378.52073

1.0

You can see these scaling factors are not changing much. The predicted eigenvalue is thenabout

13.0421

+193

= 6.6621.

How close is this?  1 2 32 2 13 1 4

 .71378

.520731.0

=

 4.75523.469

6.6621

while

6.6621

 .71378.52073

1.0

=

 4.75533.46926.6621

 .

You see that for practical purposes, this has found the eigenvalue and an eigenvector.