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Jacobi method for complex Hermitian matrices

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Jacobi iteration method is generalized to complex Hermitian matrices.

Derivation

The complex unitary matrices can be used for Jacobi iteration of complex Hermitian matrices in order to find a numerical estimation of their eigenvectors and eigenvalues simultaneously. are defined as:


Each rotation matrix, , will modify only the th and th rows or columns of a matrix if it is applied from left or right, respectively:

A Hermitian matrix, is defined by the conjugate transpose symmetry property:


By definition, the complex conjugate of a complex unitary rotation matrix, is its inverse and also a complex unitary rotation matrix:

Hence, the complex equivalent Givens transformation of a Hermitian matrix is also a Hermitian matrix similar to :


The elements of can be calculated by the relations above. The important elements for the Jacobi iteration are the following four:


Each Jacobi iteration with generates a transformed matrix, , with . The rotation matrix is defined as a product of two complex unitary rotation matrices.


where the phase terms, and are given by:


Finally, it is important to note that the product of two complex rotation matrices for given angles and cannot be transformed into a single complex unitary rotation matrix . The product of two complex rotation matrices are given by: