Iterative Methods for Linear Systems Consider the boundary value problem \[ -u''(x)=f(x),\qquad \text {for }0\le x\le 1 \] with \(u(0)=u(1)=0\), and the following discretization of it: \[ -U_{j-1}+2U_j-U_{j+1}=F_j \] for \(j=1,2,\ldots ,N-1\) where \(Nh=1\) and \(F_j=h^2f(jh)\). Imagine applying the Jacobi iterative method to solve this system of linear equations. Analyze the convergence properties of the Jacobi method for this problem. In particular, express the speed of convergence as a function of the discretization stepsize \(h\). You may find it helpful to recall that the \((N-1)\times (N-1)\) matrix \(M\) defined by \[ m_{ij}= \begin {cases} 2, & \text {if } i=j,\\ -1, & \text {if } \lvert i-j\rvert =1,\\ 0, & \text {otherwise} \end {cases} \] has eigenvalues \[ \mu _l=4\sin ^2\left (\frac {\pi l}{2N}\right ),\qquad l=1,2,\ldots ,N-1. \] (NOTE: This is a model problem designed to give you a simple linear system on which to analyze the Jacobi method; one would certainly not use an iterative method to solve a tri-diagonal system in practice!)
Question
Math 6610 • Analysis of Numerical Methods I
Fall 1995 • Question 3