Physics – Nuclear Physics – Nuclear Theory
Scientific paper
2007-02-08
Europhys.Lett.78:12001,2007
Physics
Nuclear Physics
Nuclear Theory
5 pages, to appear in EPL, http://www.iop.org/EJ/journal/EPL
Scientific paper
10.1209/0295-5075/78/12001
The particular symmetry of the random-phase-approximation (RPA) matrix has been utilized in the past to reduce the RPA eigenvalue problem into a symmetric-matrix problem of half the dimension. The condition of positive definiteness of at least one of the matrices A+-B has been imposed (where A and B are the submatrices of the RPA matrix) so that, e.g., its square root can be found by Cholesky decomposition. In this work, alternative methods are pointed out to reduce the RPA problem to a real (not symmetric, in general) problem of half the dimension, with the condition of positive definiteness relaxed. One of the methods relies on a generalized Cholesky decomposition, valid for non-singular real symmetric matrices. The algorithm is described and a corresponding routine in C is given.
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