Suppose you are solving the n × n linear system Ax = b using A^−1, but there are errors in b. If you know that at most m of the entries of b have errors, and that each entry has an error of size at most ε> 0, what can you say about the size of the error in the x you compute?
Suppose you are solving the n × n linear system Ax = b using A^−1, but there are errors in b. If ...
4. Consider solving the linear system Ax = b, where A is an rn x n matrix with m < n (under- determined case), by minimizing lle subject to Ar-b. (a) Show that if A Rmxn is full (row) rank, where m n, then AA is invertible. Then show that r.-A7(AAT)-ibis a solution to Ax = b. (b) Along with part (a) and the solution aAT(AA)-b, show that l thus, z is the optimal solution to the minimization problem. and...
Q1 The linear system Ax = b is given by: x1−x2 + 4x3 = 7 4x1 + 2x2 –x3= 18, x1 + 3x2+ x3 = 16, has the solution x=(3, 4,2)T. Using the initial guess x (0)=(1, 1,1)T Solve the above system as is using: Gauss-Seidel method. If the error increases, what does that mean and what should you do? (see b below) Condition the system so that convergence is secured and solve using the Gauss-Siedel method. Q2: Find a system...
(a) Suppose we want to solve the linear vector-matrix equation Ax b for the vector x. Show that the Gauss elimination algorithm may be written bAbm,B where m 1, This process produces a matrix equation of the form Ux = g , in which matrix U is an upper-triangular matrix. Show that the solution vector x may be obtained by a back-substitution algorithm, in the form Jekel (b) Iterative methods for solving Ax-b work by splitting matrix A into two...
Write each statement as True or False (a) If an (nx n) matrix A is not invertible then the linear system Ax-O hns infinitely many b) If the number of equations in a linear system exceeds the number of unknowns then the system 10p solutions must be inconsistent ) If each equation in a consistent system is multiplied through by a constant c then all solutions to the new system can be obtained by multiplying the solutions to the original...
Consider a linear system of the form d/dt x(t) = Ax. Next suppose there exists a positive definite solution to the matrix inequality: A^TP + PA < 0 where M<0 means M is negative definite. Then prove that all eigenvalues of A have negative real part.
Problem 8 Suppose that the matrix equation Ax = b represents a consistent system of m equations in n unknowns and Xo is a specific solution of this system. Show that any solution of this system E can be written in the form x = xo + x1, where x1 is a solution of Ax = 0.
2. Solve the linear system Ax = B, by, (20P) a) Finding LU-factorization of the coefficient matrix A, b) Solving the lower triangular system Ly = b, c) Solving the upper triangular system Ux = y. where w A = 2 0 0 0 -2 1 0 2 0 0 0 0 - 1 1 1 4. -4 15 and b =
Problem 1. For the system of linear equations Ax- b, using elementary row operations on the augmented matrix, A is brought to row echelon form. The resulting augmented matrix is: 1 0 7 0 112 Row echelon form of (Alb-00 1 2 3 5 0 0 0 0 0 c (a) Find the rank and the nullity of A. Explain your answer. (b) For what values of c does the system have at least one solution? Explain your answer. (c)...
Problem 1 (Linear Systems of Equations). (a) Determine the values of a for which the follow- ing system of equations have no solution, exactly one solution, infinitely many solutions (a + 2)y + (a2-4)2 = (0-2) (b) If A = 4-1 0 a 2b a a be the augmented matrix of a linear system of equations then evaluate the values of a and b for which the linear system has no solution? exactly one solution? one parameter solution? two parameter...
Let A e Rmxn. The linear system Ax = b can have either: (i) a unique solution, (ii) no solution, or (iii) infinitely many solutions. If A is square and invertible, there is a unique solution, which can be written as x = A-'b. The concept of pseudoinverse seeks to generalise this idea to non-square matrices and to cases (ii) and (iii). Taking case (ii) of an inconsistent linear system, we may solve the normal equations AT Ar = Ab...