Hi Sonya, I really suggest you familiarize yourself with eigenvalues and eigenvectors. For each eigenvector v, alpha*v is also an eigenvector to the same eigenvalue, where alpha can be any nonzero scalar. If the sign doesn't fit your expectations, just multiply it with -1. :-)
Best regards, Karli On 04/15/2013 04:02 AM, Sonya Blade wrote: > Even If I have normalization at the exact solution this doesn't explain > how the sign of it has changed, as a result square roots of sum of squares > can never have negative value (vector length). > > Basically what I need to do, to get the Slepc results matching with the exact > ones. > Do I need to call any function before Slepc normalizes them or something else? > > Regards, >
