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Geogebra fails to calculate eigen vectors
Not a Problem
Eigenvectors({{2,1},{1,0}}) should be something like (1,1) but Geogebra returns nothing but a question mark. Eigenvalues({{2,1},{1,0}}) is correctly determined as {1,1}.
This happens on GeoGebra Classic 5.0.527.0d as well as on Geogebra 6.0.526.0offline.
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I guess that the solution should be a vector v=(1;1). CAS view returns a ? in both versions.
Looping your post to the Support Team, thank you.
The eigenvectors are anything in the form (a,a) so there are an infinite number (due to the repeated eignenvalues {1,1})
There is always an infinite number of eigenvecotrs so that does not explain why Geogebra is not able to determine one for this specific matrix whereas in most other cases it does. The "repeated" eigenvalues seem to be Geogebra's way of expressing the algebraic multiplicity of 2 whereas in fact there is just one single eigenvalue.
Still the error might have something to do with this peculiar formulation. I did some trouble shooting and found the following for r:=RandomBetween(5,5) and M:={{r,RandomBetween(5,5)},{0,r}}.
The matrix M does always have the single eigenvalue r. Geogebra is unable to determine the eigenvector which would be (1,0) for any value of r different from 0. If M happens to be diagonal, then Geogebra correctly determines two eigenvectors (1,0) and (0,1). The eigenvalue is always found to be {r,r}
in fact jordandiagonalisation({{2,1},{1,0}}) uses (1,1) in P matrix
Thanks for sharing your insight! However, I do not understand what you mean by "P matrix" and what GG "uses (1,1)" for. I presume this describes steps in the algorithm but I do not see what this means. I have to admit that my knowledge of Jordan diagonalization is a bit rusty. Would you care to explain, please?
A detailed step 4 step calculation you can find in https://www.geogebra.org/m/upUZg79r
The double counted eigenvalue 1 has an eigenspace of Dim 1  that means that you do only find 1 eigenvector by equation AλE=0 . Expanding the eigenspace to dim 2  to find 2 eigenvectors  you have to use the jordanalgorithm.
The linked page has an example matrix
A:= {{1,2},{2,3}}
expanding eigenspace to dim 2
recommendation: Translations by https://www.deepl.com/translator
Can anybody explain why this issue has been tagged with "no issue" ("kein Problem" in German)? I would say it is one big problem if a CAS software is not able to determine the eigenspace of a matrix in certain cases. As a user, I expect to get a set of eigenvectors spanning the eigenspace when using the function Eigenvectors(), no matter what  wouldn't you?
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