Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077
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05-04-2016, 10:24 PM
(This post was last modified: 05-04-2016 10:41 PM by Arno K.)
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Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077
Today I came across the task of getting a matrix simplified with different ways to perform, one was M= [[2,0,0,0],[2,2,0,0],[1,-1,2,-1],[0,1,0,2]], a Schur decomposition was to be done and this is provided by the Prime.
As I want to check out the Prime's capabilities I tried to get the eigenvalues, easily computed by hand, all are 2, the Prime gives a warning ( "Low accuracy" ) and using EIGENVAL(M3), provides 4 values which can be rounded to 2. Then I tried EIGENVV(M3) and the physical prime simply restarted, the PC-emulator halted (both latest firmware) and the Android-app (8151) crashed, too. Recalling M3 and EIGENVV(Ans) delivers: "Not invertible error: Bad Argument Value", contrary to Wolfram, saying [0,0,1,0] is an eigenvector and that is correct. Arno |
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Messages In This Thread |
Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - Arno K - 05-04-2016 10:24 PM
RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - parisse - 05-05-2016, 05:08 AM
RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - compsystems - 05-06-2016, 06:32 PM
RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - parisse - 05-06-2016, 07:03 PM
RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - Arno K - 05-06-2016, 09:21 PM
RE: Bug in EIGENVV in combination with built-in matrices M0..M9 in 10077 - parisse - 05-07-2016, 06:51 AM
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