6th Edit,So this strange...or is it? If I understand the procedure that we have worked out thus far, the plots that I created above tell me "how singular" my matrix is as a function of my parameter $\kappa$. Thus I would probably like my y-axis to be really small, and so I am telling SingularValueList to only give me the last entry since that should be the smallest singular value, and also why I'm using the tolerance function,so that the smallest value do not get ignored. One question is, why use tolerance if were are already looking at the smallest singular value? The other problem, the strange part, is that when I find a $\kappa$ using SVL, and root finding command, then write $\kappa = .508...$, and then Det[mat], I get something like 2.14^113, and 1.678^109, for another root. Is that right? Is this essentially as close to zero as we can get the determinant? Or am I missing something huge. Is it that I am using the wrong root. Is there one that can give me Det = .0000001 or even smaller? I guess its not all bad news, this smalleness of the Det could help me figure out which is the true root. Anyways just throwing some thoughts/questions out there. Thanks again to all who respond. This problem is starting to drive me crazy but I guess that research.
