Rotation Matrix and Angles of Rotation in the Polar Decomposition

Author:

Uwamusi Stephen Ehidiamhen1

Affiliation:

1. Department of Mathematics, Faculty of Physical Sciences, University of Benin, Benin City, Edo State, Nigeria

Abstract

This paper aims at computing the rotation matrix and angles of rotations using Newton and Halley’s methods in the generalized polar decomposition. The method extends the techniques of Newton’s and Halley’s methods for iteratively finding the zeros of polynomial equation of single variable to matrix rotation valued problems. It calculates and estimates the eigenvalues using Chevbyshev’s iterative method while computing the rotation matrix. The sample problems were tested on a randomly generated matrix of order from the family of matrix market. Numerical examples are given to demonstrate the validity of this work.

Publisher

Earthline Publishers

Subject

General Medicine

Reference14 articles.

1. Benner, P., Nakatsukasa, Y., & Penke, C. (2022). Stable and efficient computation of generalized polar decompositions. SIAM Journal on Matrix Analysis and Applications, 43(3), 1058-1083. https://doi.org/10.1137/21M1411986

2. Blanchard, P., Zounon, M., Dongarra, J., & Higham, N. (2019). Parallel numerical linear algebra for future extreme-scale systems. NLAFET, University of Manchester. http://dx.doi.org/10.3030/671633

3. Bjorck, A. (2009). Numerical methods in scientific computing: Volume 2 (2nd ed.). SIAM.

4. Chen, J., & Chow, E. (2014). A stable scaling of Newton Schulz for improving the sign function of computation of a Hermittian matrix. [Preprint]. ANL/MCS-P5059-0114.

5. Driscoll, T. A. (n.d.). The Schwartz-Christoffel toolbox. Retrieved from https://w.w.w.math.udel.edu~driscoli/software/sc/

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