Matrix Stability: Eigenvalues, Spectral Radius, And Condition Number
The stability of a matrix, a fundamental concept in linear algebra, is closely intertwined with its eigenvalue distribution, spectral radius, condition number, and determinant. Eigenvalues, the roots of the characteristic equation, provide insights into the matrix’s behavior under linear transformations. The spectral radius, the largest eigenvalue in absolute value, determines the convergence rate of iterative … Read more