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An Algebraic Approach to Non-Orthogonal General Joint Block Diagonalization

Numerical Analysis 2017-03-03 v3

Abstract

The exact/approximate non-orthogonal general joint block diagonalization ({\sc nogjbd}) problem of a given real matrix set A={Ai}i=1m\mathcal{A}=\{A_i\}_{i=1}^m is to find a nonsingular matrix WRn×nW\in\mathbb{R}^{n\times n} (diagonalizer) such that WTAiWW^T A_i W for i=1,2,,mi=1,2,\dots, m are all exactly/approximately block diagonal matrices with the same diagonal block structure and with as many diagonal blocks as possible. In this paper, we show that a solution to the exact/approximate {\sc nogjbd} problem can be obtained by finding the exact/approximate solutions to the system of linear equations AiZ=ZTAiA_iZ=Z^TA_i for i=1,,mi=1,\dots, m, followed by a block diagonalization of ZZ via similarity transformation. A necessary and sufficient condition for the equivalence of the solutions to the exact {\sc nogjbd} problem is established. Two numerical methods are proposed to solve the {\sc nogjbd} problem, and numerical examples are presented to show the merits of the proposed methods.

Cite

@article{arxiv.1607.00716,
  title  = {An Algebraic Approach to Non-Orthogonal General Joint Block Diagonalization},
  author = {Yunfeng Cai and Chengyu Liu},
  journal= {arXiv preprint arXiv:1607.00716},
  year   = {2017}
}
R2 v1 2026-06-22T14:42:05.783Z