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eig (Matlab function)

Find eigenvalues and eigenvectors

Matlab/Scilab equivalent

Matlab Scilab
d = eig(A,'balance')
[V,D] = eig(A,'balance')
[V,D] = eig(A,'balance')
d = eig(A,B)
d = eig(A,B)
d = eig(A,B)
[V,D] = eig(A,B)
d = spec(A)
[D,V]= bdiag(A)
[V,D] = spec(A)
[al,be] = spec(A,B); d = al./be;
d = spec(A,B)
d = spec(inv(B)*A)
[al,be,V] = spec(A,B); D = diag(al./be);

Particular cases


Scilab equivalent for eig(A) is spec(A). Scilab eigenvector matrix can differ from Matlab one.


There is no Scilab equivalent for "nobalance" option. See examples.


There is no Scilab equivalent for flag.

  • If matrix B is nonsingular, the generalized eigenvalues can be computed as the eigenvalues of the matrix B-1A i.e. d=spec(B^-1*A).

  • If A is a real random square matrix, Scilab equivalent for the Matlab syntax [V,D] = eig(A,'balance') is [D,V] = bdiag(A+%i*0, 1/%eps). In this case D consists of complex 1x1 blocks.

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Last updated:
Tue Mar 07 09:29:06 CET 2023