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Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077
05-06-2016, 07:03 PM
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RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077
You can get exact eigenvalues inside the CAS, even more jordan will return the Jordan normal form (not available on the ti).
Code:
p,j:=jordan([[2,0,0,0],[2,2,0,0],[1,-1,2,-1],[0,1,0,2]]); p*j*inv(p);
EIGENVV etc. are numeric diagonalization instructions, they are expected to fail with non diagonalizable matrices (otherwise it means that the algorithm used is not purely numeric, if it works on the ti, it might mean that the ti is using the characteristic polynomial to find eigenvalues, very bad for numeric stability).
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RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - parisse - 05-06-2016 07:03 PM



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