scholarly journals Convergence of pure and relaxed Newton methods for solving a matrix polynomial equation arising in stochastic models

2014 ◽  
Vol 440 ◽  
pp. 34-49 ◽  
Author(s):  
Jong-Hyeon Seo ◽  
Hyun-Min Kim
Author(s):  
Lu Tan ◽  
Xue-Han Cheng ◽  
Tong-Song Jiang ◽  
Si-Tao Ling

In this paper, we focus on discussing diagonal solutions and general solutions of second-order matrix polynomial equation of high degree in complex field. By characterizing some algebraic properties of the mentioned two types of the solutions, we present sufficient conditions that a general second-order matrix polynomial equation has diagonal solutions or general solutions. Analytic expressions of the solutions, as well as the corresponding algorithms for finding the solutions are provided. An example is given so as to verify the theoretical results we have derived.


2021 ◽  
Vol 2021 ◽  
pp. 1-4
Author(s):  
Yunbo Tian ◽  
Chao Xia

We study the low-degree solution of the Sylvester matrix equation A 1 λ + A 0 X λ + Y λ B 1 λ + B 0 = C 0 , where A 1 λ + A 0 and B 1 λ + B 0 are regular. Using the substitution of parameter variables λ , we assume that the matrices A 0 and B 0 are invertible. Thus, we prove that if the equation is solvable, then it has a low-degree solution L λ , M λ , satisfying the degree conditions δ L λ < Ind A 0 − 1 A 1  and  δ M λ < Ind B 1 B 0 − 1 .


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