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Jan 19, 2017 at 10:22 comment added Rodrigo de Azevedo @Suvrit I edited my answer and used the Schur decomposition instead, as you recommended.
Jan 19, 2017 at 10:21 history edited Rodrigo de Azevedo CC BY-SA 3.0
Schur > Jordan
Jan 18, 2017 at 22:42 comment added Suvrit Yes, what I meant by not computable is that JNF is notorious for being sensitive to numerical concerns, and hence I would not embed it as a subroutine anywhere; as noted in my comment, using your observation, we might as well use Schur decomposition, which is easy to compute and also works, so not only do we not care about diagonalizable, we also do not care about JNF here :-)
Jan 18, 2017 at 20:21 comment added Rodrigo de Azevedo @Suvrit Why "not computable"? What does that mean? I have computed the Jordan decomposition using paper & pencil. When I learned it, I was told that it was extremely sensitive to perturbations. Examples convinced me of that claim.
Jan 18, 2017 at 19:25 comment added Suvrit +1: since the JNF is not computable, it suffices to use "Schur decomposition" which is much easier to compute --- the rest of the argument applies unchanged. (link: en.wikipedia.org/wiki/Schur_decomposition )
Jan 18, 2017 at 19:21 history edited Rodrigo de Azevedo CC BY-SA 3.0
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Jan 18, 2017 at 19:13 history edited Rodrigo de Azevedo CC BY-SA 3.0
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Jan 18, 2017 at 18:53 history edited Rodrigo de Azevedo CC BY-SA 3.0
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Jan 18, 2017 at 18:23 history answered Rodrigo de Azevedo CC BY-SA 3.0