Coolphreak
Sep25-07, 03:48 PM
1. The problem statement, all variables and given/known data
I want to prove that the eigenvectors corresponding to the 0 eigenvalue of hte matrix is the same thing as the kernel of the matrix.
2. Relevant equations
A = matrix.
L = lambda (eigenvalues)
Ax=Lx
3. The attempt at a solution
Ax = 0 is the nullspace.
Ax = Lx
Lx = 0.
L= 0.
the eigenvectors corresponding to the 0 eigenvalue are the same as the nullspace.
Is this a sufficient enough proof?
I want to prove that the eigenvectors corresponding to the 0 eigenvalue of hte matrix is the same thing as the kernel of the matrix.
2. Relevant equations
A = matrix.
L = lambda (eigenvalues)
Ax=Lx
3. The attempt at a solution
Ax = 0 is the nullspace.
Ax = Lx
Lx = 0.
L= 0.
the eigenvectors corresponding to the 0 eigenvalue are the same as the nullspace.
Is this a sufficient enough proof?