Trouble calculating matrix norms using the formula

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The discussion centers on difficulties in calculating matrix norms, specifically the 2-norm, using the formula ||A|| = max ||Ax|| where ||x|| = 1. The user attempts to find the 2-norm of a matrix but arrives at an incorrect answer, indicating confusion in the calculation process. They successfully compute eigenvalues and eigenvectors but struggle with the subsequent norm calculation, particularly when not allowed to use the spectral radius formula. Another participant suggests a potential error in the matrix being analyzed, hinting that the correct matrix might yield the expected results. The main issue lies in accurately calculating the matrix norm after determining the eigen system.
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Duh, I can`t calculate matrix norms using the formula...

||A|| = max || Ax || where || x || = 1

This is how I try to calculate them, what am I doing wrong?

e.g. Find norm 2 of A

A = 1 1
0 1

First find A's eigen system...
Solve characteristic polynomial...
( 1 - k ) ( 1 - k )
k = 1 - eigen value of A
Get eigen vector...
A - k I = 0
0 1 = 0
0 0 = 0

eigen vector = 1
0

As || Ax || is at a maximum when x is A's eigen vector, we can now calculate ||A||.
Ax = 1 1 * 1 = 1
= 0 1 0 = 0
Therefore
|| A || = || 1 || = 1
|| 0 ||

Actual answer = 1.618

Bah. I can do it for norm 1 and infinity, but not any number inbetween. I'm not allowed to use that traspose matrix ,spectral radius formula. What's the secret? Please help.

I can`t seem to display a matrix nicely on my post either. sos
 
Last edited:
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Hrm.

Are you sure you have the right matrix? Based on the correct answer, my guess is that it's supposed to be

Code:
A = /0 1\
    \1 1/
 
Hi Hurkyl,
The matrix is the one from Burden - Faires Numerical Analysis 4th Edition Ex Set 7.2 Q 1 b)
If I use the spectral radius formula I get the right answer.

Here' another eg. Q 1 d)

A =
2 1 1
2 3 2
1 1 2

Solve characteristic polynomial
- k^3 + 7k^2 - 11k + 5
( k - 1 ) ^2 ( k - 5 )
k = 1 , 5

Get eigenvectors
For k = 1
A - kI = 0 =
1 1 1
2 2 2
1 1 1

solution space vectors =
1
-1
0

1
0
-1

For k = 5
A - kI = 0 =
-3 1 1
2 -2 2
1 1 -3

solution space vector =
1
2
1

|| Ax || is at maximum when x is eigen vector corisponding to largest eigen value so k=5 and
x =
1
2
1
/ Sqr 6 , to nomalize || x || = 1

Calculate Ax

2 1 1 * 1
2 3 2 * 2
1 1 2 * 1 / Sqr 6

=
5
10
5 / Sqr 6

Get Norm...
= Sqr ((25 + 100 + 25) / 6)
= Sqr ( 150 / 6 )
= 5 My answer

Actual Answer = 5.2035

I get the eigen system correct, but it's the matrix norm calculation where I go wrong I think.
 
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