Rigidity and Shrinkability of Diagonalizable Matrices

Dimitris Karayannakis *

Department of Informatics Engineering, TEI of Crete, Heraklion 71004, Greece.

Maria-Evgenia Xezonaki

Department of Informatics and Telecommunications, University of Athens, Athens 157 84, Greece.

*Author to whom correspondence should be addressed.


Abstract

We introduce the seemingly new concept of a rigid matrix based on the comparison of its sparsity to the sparsity of the natural powers of the matrix. Our results could be useful as a usage guide in the scheduling of various iterative algorithms that appear in numerical linear algebra. Especially in Sparse matrix-vector multiplication and they could also be used in matrix norm error analysis.

Keywords: Sparse matrix, diagonalizable matrix, matricial limits, matrix norms.


How to Cite

Karayannakis, Dimitris, and Maria-Evgenia Xezonaki. 2017. “Rigidity and Shrinkability of Diagonalizable Matrices”. Journal of Advances in Mathematics and Computer Science 21 (6):1-15. https://doi.org/10.9734/BJMCS/2017/32839.

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