1. The problem statement, all variables and given/known data Find the Corresponding normalization constants for the joint guassian [tex]\\p\\(x,y) \alpha\ exp(-(ax^2/2) - (by^2/2) -cxy) [/tex] ie: find P(x), P(y), and P(X,Y) normalization constants relevant equations: Mutual Information: M(x,y) [tex]\\M(x,y) = \sum\\p(x,y)ln(p(x,y)/(p(x)*p(y)))[/tex] 3. The attempt at a solution I've tried an integral over y then x but I end up with some messed up erf that I can't get rid of. My professor told me that the real point of this is that later we can use mutual information to get a ratio of the constants and that should equal [tex]\\1/2\\ln(1-c^2/ab)[/tex] but I haven't gotten anywhere close. I really just need a hint of where to start on this one as I have gotten nowhere with it any help is very appreciated.