Convergence analysis of triangular and symmetric splitting method for fuzzy stochastic linear systems

نویسندگان

1 Department of Mathematics, Kakatiya University, Telangana, India.

2 Department of Mathematics, Kakatiya Institute of Technology and Science, Warangal, India.

3 Department of Mathematics, Kakatiya University, Telangana, India.

4 Department of Mathematics, Kakatiya University, Telangana, India.

doi
10.22067/ijnao.2025.91136.1561
چکیده

In this article, the triangular and symmetric splitting iterative method is suggested for solving linear homogeneous systems of equations $πQ = 0$, where $Q$ is the stochastic rate matrix and π is the steady state vector. The homogeneous system is converted to the nonhomogeneous regularized fuzzy linear system $Ax = b$ with the small perturbation parameter $0 < r ≤ 1$. The regularized fuzzy linear system is converted into an embedded linear system. The iterative scheme is established; convergence criteria and its sensitivity analysis are analyzed using the numerical examples and conver-gence theorems. From the numerical results, it is evident to conclude that the proposed method is effective and efficient compared to the theoretical results.