So I'm prepping for my linear algebra exam, and I'm preparing for all of the various questions I might end up facing.
Reading through all of my materials, one potential question entered my mind: Schur's decomposition works for complex numbers and unitary matrices. Does it also apply to Real numbers and orthogonal matrices? Looking through the proof and turning the general concepts in my head, I can't see why it shouldn't, but there is no mention of it anywhere, which leads me to believe that it isn't the case.
It's been a long time since I've done this sort of thing, but I think it should fail when the matrix has non-real eigenvalues. The middle matrix of the decomposition is triangular so those eigenvalues should be down the diagonal, which is a problem if you want real entries.
So, uh... Are you saying that the set of real numbers defined upwards from rational numbers and the set of real numbers defined as a subset of complex numbers are not the same set?
That is so messed up.
It depends what you mean by "same set." In the strictest technical sense, no. But there exists a 1-1 map from the the first set of reals into the complex numbers that preserves every algebraic structure you could want. This is as good as mathematicians usually expect from mathematical objects
Nevermind that you cannot define reals as a set of rationals.
I'm not quite sure what you mean, but you can define each real to be a "Dedekind cut" which is just a set of rational numbers. You could also do something with sequences of rationals, I guess.