Treffer: Efficient numerical computation of the Pfaffian for dense and banded skew-symmetric matrices

Title:
Efficient numerical computation of the Pfaffian for dense and banded skew-symmetric matrices
Authors:
Source:
ACM Trans. Math. Software 38, 30 (2012)
Publication Year:
2011
Collection:
Computer Science
Mathematics
Condensed Matter
Physics (Other)
Document Type:
Report Working Paper
DOI:
10.1145/2331130.2331138
Accession Number:
edsarx.1102.3440
Database:
arXiv

Weitere Informationen

Computing the Pfaffian of a skew-symmetric matrix is a problem that arises in various fields of physics. Both computing the Pfaffian and a related problem, computing the canonical form of a skew-symmetric matrix under unitary congruence, can be solved easily once the skew-symmetric matrix has been reduced to skew-symmetric tridiagonal form. We develop efficient numerical methods for computing this tridiagonal form based on Gauss transformations, using a skew-symmetric, blocked form of the Parlett-Reid algorithm, or based on unitary transformations, using block Householder transformations and Givens rotations, that are applicable to dense and banded matrices, respectively. We also give a complete and fully optimized implementation of these algorithms in Fortran, and also provide Python, Matlab and Mathematica implementations for convenience. Finally, we apply these methods to compute the topological charge of a class D nanowire, and show numerically the equivalence of definitions based on the Hamiltonian and the scattering matrix.
Comment: New algorithm (Parlett-Reid), overall speed-ups, now also Matlab implementation. Program code available as ancillary files, or from http://www.ilorentz.org/~wimmer/downloads.html