scholarly journals Periodic matrix difference equations and companion matrices in blocks: some applications

Author(s):  
H. Benkhaldoun ◽  
R. Ben Taher ◽  
M. Rachidi

AbstractThis study is devoted to some periodic matrix difference equations, through their associated product of companion matrices in blocks. Linear recursive sequences in the algebra of square matrices in blocks and the generalized Cayley–Hamilton theorem are considered for working out some results about the powers of matrices in blocks. Two algorithms for computing the finite product of periodic companion matrices in blocks are built. Illustrative examples and applications are considered to demonstrate the effectiveness of our approach.

2021 ◽  
Author(s):  
T. Srinivasa Rao ◽  
G. Suresh Kumar ◽  
Ch. Vasavi ◽  
T. Nageswara Rao

2021 ◽  
pp. 28-37
Author(s):  
M.I. Ayzatsky

A new approach to the description of an inhomogeneous chain of coupled resonators (inhomogeneous disk waveguides) is proposed. New matrix difference equations based on the technique of coupled integral equations and the decomposition method are obtained. Various approximate approaches have been developed, including the WKB approximation.


Filomat ◽  
2015 ◽  
Vol 29 (4) ◽  
pp. 713-724 ◽  
Author(s):  
Mujahid Abbas ◽  
Dejan Ilic ◽  
Talat Nazir

In this paper, we study the convergence of the generalized weak Presic type k-step iterative method for a class of operators f:Xk ? X satisfying Presic type contractive conditions. We also obtain the global attractivity results for a class of matrix difference equations.


2012 ◽  
Vol 45 (5) ◽  
pp. 055207
Author(s):  
Hrachya M Babujian ◽  
Angela Foerster ◽  
Michael Karowski

2011 ◽  
Vol 2011 ◽  
pp. 1-19 ◽  
Author(s):  
S. A. Ivanov ◽  
M. M. Kipnis ◽  
V. V. Malygina

We provide geometric algorithms for checking the stability of matrix difference equations with two delays such that the matrix is nilpotent. We give examples of how our results can be applied to the study of the stability of neural networks.


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