Computes generalized eigenvalues, left eigenvectors, and right eigenvectors for a pair of real or complex general matrices.


{ va1, va2, lve, rve } = lapgeigv(A, B)
  • A (NxN matrix) – real or complex general matrix.

  • B (NxN matrix) – real or complex general matrix.

  • va1 (Nx1 vector) – numerator of eigenvalues.

  • va2 (Nx1 vector) – denominator of eigenvalues.

  • lve (NxN left eigenvectors) –

  • rve (NxN right eigenvectors) –


va1 and va2 are the vectors of the numerators and denominators respectively of the eigenvalues of the solution of the generalized symmetric eigenproblem of the form \(Aw = \lambda Bw\) where A and B are real or complex general matrices and \(w = va1./va2\). The generalized eigenvalues are not computed directly because some elements of va2 may be zero, i.e., the eigenvalues may be infinite.

The left and right eigenvectors diagonalize \(U'^{-1}AU^{-1}\) where \(B = U'U\), that is,

\[\text{lve}*U'^{-1}AU^{-1}*\text{lve}' = w\]


\[\text{rve}'*U'^{-1}AU^{-1}*\text{rve} = w\]

This procedure calls the LAPACK routines DGGEV and ZGGEV.

See also

Functions lapgeig(), lapgeigh()