how to solve eigen values and vectors without the expression eig

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Alyaa Alzaabi
Alyaa Alzaabi el 18 de Feb. de 2017
Comentada: Patrick Franks el 19 de Dic. de 2018
how to write a matlab code to generate eigen values and vectors of the matrix A=[1,1;4,-2] the code should not involve [x,y]=eig(A) ,, it should be another way
  2 comentarios
Christine Tobler
Christine Tobler el 13 de Nov. de 2018
Why don't you want to use EIG? Is this for an exercise, or is the function not available for some reason?
Patrick Franks
Patrick Franks el 19 de Dic. de 2018
In my case, EIG doesn't behave correctly for matrices that are 5x5 or larger when compiled into C on a target computer. The eigenvalues can still be calculated by finding the roots of the characteristic polynomial of the matrix [i.e. roots(poly(A))], but eigenvectors also need to be calculated without using eig.
Using the null space of A-lamda*I has been suggested, but for some reason the matrix A-lamda*I in my case is not rank-deficient.

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Respuestas (1)

Matt J
Matt J el 18 de Feb. de 2017
Editada: Matt J el 18 de Feb. de 2017
Potentially useful commands: ROOTS, POLY, NULL
  2 comentarios
Sunil Patil
Sunil Patil el 13 de Nov. de 2018
HI,
I have used 'null' function to find the eigen vectors null(A-lamda*I).
obtained eigen vectors are not matching with the vactors getting by eig() function.
does it need vector normalisation ?
Kindly suggest..
Thanks
Sunil Patil
Matt J
Matt J el 13 de Nov. de 2018
There might be differences in sign. Or, the null space of A-lamda*I might be multi-dimensional, If so, null() and eig() may not return the same basis for that space.

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