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Published June 1997 | public
Journal Article

Dynamical methods for polar decomposition and inversion of matrices

Abstract

We show how one may obtain polar decomposition as well as inversion of fixed and time-varying matrices using a class of nonlinear continuous-time dynamical systems. First we construct a dynamic system that causes an initial approximation of the inverse of a time-varying matrix to flow exponentially toward the true time-varying inverse. Using a time-parameterized homotopy from the identity matrix to a fixed matrix with unknown inverse, and applying our result on the inversion of time-varying matrices, we show how any positive definite fixed matrix may be dynamically inverted by a prescribed time without an initial guess at the inverse. We then construct a dynamical system that solves for the polar decomposition factors of a time-varying matrix given an initial approximation for the inverse of the positive definite symmetric part of the polar decomposition. As a byproduct, this method gives another method of inverting time-varying matrices. Finally, using homotopy again, we show how dynamic polar decomposition may be applied to fixed matrices with the added benefit that this allows us to dynamically invert any fixed matrix by a prescribed time.

Additional Information

© 1997 Elsevier. Received 4 May 1995; accepted 1 April 1996; Submitted by Richard A. Brualdi Available online 14 April 2003.

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023