Finding Eignevalues & Eigenvectors of A⁻¹ Without Direct Computation

brad sue
Messages
270
Reaction score
0
Hi, I need help for this problem:
Find the eignevalues and eingenvectors for the matrix below. DO NOT compute them directly by computing the matrix:
A-1

We need to find some kind of demonstration to see if the eignevalues of A-1 are the same, opposite or inverse (or whatever) as those of matrix A
Suppose that the eignvalues are 1,2,3 and the eignvectors are [1,1,0], [0,1,0],[ 3,-1,2] ( in columns
Thank you
B
 
Physics news on Phys.org
If Ax= \lambda x Then A^{-1}Ax= A^{-1}\lambda x= \lambda A^{-1}x.

What does that tell you?
 
HallsofIvy said:
If Ax= \lambda x Then A^{-1}Ax= A^{-1}\lambda x= \lambda A^{-1}x.
What does that tell you?
I have been thinking but I really do not know.
Can we say that I ( indentity matrix)= lambda*A-1??
I does make me go far doesn't it?
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
Back
Top