Solving a nonlinear matrix equation by Newton's method

Sergei Chuiko, Olga Nesmelova, Kateryna Shevtsova
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Abstract

Nonlinear matrix equations are often used in the quality theory of ordinary differential, functional differential, differential-algebraic and integro-differential equations, in the theory of motion stability, control theory, and in image reconstruction problems. In this paper, we study a nonlinear matrix equation with respect to an unknown rectangular matrix. In general, the linearization of a nonlinear matrix equation with respect to an unknown rectangular matrix defines a linear matrix operator that has no inverse. For such a nonlinear matrix equation, it is not possible to use the classical Newton method, but the Newton-Kantorovich method is applicable. The paper proposes original conditions for solvability and a scheme for finding solutions to a nonlinear matrix equation. To find approximations to solutions of nonlinear matrix equations in the case of an unknown rectangular matrix and to verify the convergence of the constructed iterative scheme, the paper uses the Newton method. To verify the effectiveness of the constructed iterative scheme, we find the nonconformities of the obtained approximations in the solution of a nonlinear matrix algebraic equation.
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用牛顿法求解非线性矩阵方程
非线性矩阵方程常用于常微分、泛函微分、微分-代数和积分-微分方程的质量理论、运动稳定性理论、控制理论和图像重建问题。本文研究了一个关于未知矩形矩阵的非线性矩阵方程。一般来说,非线性矩阵方程关于未知矩形矩阵的线性化定义了一个没有逆的线性矩阵算子。对于这样的非线性矩阵方程,不能使用经典的牛顿方法,但牛顿-坎托洛维奇方法是适用的。本文提出了一类非线性矩阵方程的可解性的原始条件和求解方案。为了在未知矩形矩阵情况下求非线性矩阵方程解的近似,并验证所构造迭代格式的收敛性,本文采用牛顿法。为了验证所构造迭代格式的有效性,我们在求解一个非线性矩阵代数方程时发现了所得到的近似的不一致性。
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