4 a) Let us write
Since
is a solution to , we get
b) The augmented matrix is . This would be invertible if and only if the system has trivial (all zero) solution. But we have seen in part a) that a solution to is
which is not trivial. Hence, is not invertible.
c) We have
So, we have computed solution to ; this is
Iry to hhel ieal 4 Suppose that the 3 x 2 matrix A has rank 2 and we want to solve Ax b. a) (10 pts) If there ex...
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)...
3. (15 pts.) Let A e Rmxn be a full rank matrix, m > n. Suppose that Let r = Ax-b. Prove that reprthogonal to Az minimizes llAz-b12. 3. (15 pts.) Let A e Rmxn be a full rank matrix, m > n. Suppose that Let r = Ax-b. Prove that reprthogonal to Az minimizes llAz-b12.
(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...
12 3-5 2 U 0 0 0 0 3 (2) A matri A is no1 0 (Thi is not the matris A) (2) A matrix A iownuivalent to This is nohe matrix A! 11 pts] Give the rank and nullity of Λ. rank(A)--null(.)-- 4 pts Does Ar have a solution for every rigt-haud-side ector BYes or No Justify your aswer 2 pts Give a gemetric description for the set all veetrswih the property that A has a solution 4 ptsl...
(5) Let b = and let A be the matrix . Is b in the range of the linear transformation x↦Ax? Why or why not? We were unable to transcribe this imageWe were unable to transcribe this imageLet b= 1 -3 5 -51 1, and let A be the matrix O 1 -3 5 . Is b in the range of the linear transformation x 2 - 4 4 - 4 Ax? Why or why not? Is b in the...
2. (a) (10 marks) Suppose A is an n x n real matrix. Show that A can be written as a sum of two invertible matrices. HINT: for any XER, we can write A= XI + (A - XI) (b) (10 marks) Suppose V is a proper subspace of Mn.n(R). That is to say, V is a subspace, and V #Mnn(R) (there is some Me M.,n(R) such that M&V). Show that there exists an invertible matrix M e Mn.n(R) such...
2. (a) (10 marks) Suppose A is an n x n real matrix. Show that A can be written as a sum of two invertible matrices. HINT: for any l ER, we can write A = \I + (A – XI) (b) (10 marks) Suppose V is a proper subspace of Mn,n(R). That is to say, V is a subspace, and V + Mn,n(R) (there is some Me Mn,n(R) such that M&V). Show that there exists an invertible matrix M...
2. (a) (10 marks) Suppose A is an n x n real matrix. Show that A can be written as a sum of two invertible matrices. HINT: for any l ER, we can write A = \I + (A – XI) (b) (10 marks) Suppose V is a proper subspace of Mn,n(R). That is to say, V is a subspace, and V + Mn,n(R) (there is some Me Mn,n(R) such that M&V). Show that there exists an invertible matrix M...
2 x [b] Consider the following linear system of equations AX =B : (i) Determine a basis for the row space of A. (ii) Compute the Rank of the augmented matrix (A:B), then use it to classify the solution of this system (Unique - Many -No: solution). (iii) Is the matrix A diagonalizable? Explain your answer and verify the similarity transformation.
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...