Sign of the Determinant of Real Sparse Matrix
Numerical methods on computing the sign fo a real sparse matrix with applications to physics
Time Frame: Fall 2024 Advisors: Dr. Terry A. Loring, Dr. Alexander Cerjan
The determinant of a matrix has many applications including but not limited to Physics, Computer Science, and other areas of Linear Algebra itself. One of the topological invariants that can be computed for specific physical system in the Altland-Zirnbauer (AZ) classification can be done by computing the sign of the determiant. Moreover many applications have corresponding sparse real matrices which potentially large condition number. In the paper we review some main mathematical results and generate a numerical implementation. We do a time and error analysis on both pseudorandomly generated matrices as well as a test on a Class D in 1D for various numbers of cites.
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