bdiag — block diagonalization, generalized eigenvectors
[Ab [,X [,bs]]]=bdiag(A [,rmax])
real or complex square matrix
real number
real or complex square matrix
real or complex non-singular matrix
vector of integers
[Ab [,X [,bs]]]=bdiag(A [,rmax])
performs the block-diagonalization of matrix A. bs
gives the structure of the blocks (respective sizes of the
blocks). X is the change of basis i.e
Ab = inv(X)*A*Xis block diagonal.
rmax controls the conditioning of X; the
default value is the l1 norm of A.
To get a diagonal form (if it exists) choose a large value for
rmax (rmax=1/%eps for example).
Generically (for real random A) the blocks are (1x1) and (2x2) and
X is the matrix of eigenvectors.