1 3 1. Find the inverse using elementary matrices A 2-3 Find a sequence of elementary...
2. Write the product of a sequence of elementary matrices which equals the given non-singular matrix: [ 11 2 3 3. Given the matrix A = 01 - write the matrix of minors of A, the matrix of cofactors of A, the adjoint 12 2 2 matrix of A, and use the adjoint of A, to write the inverse of A. 4. Determine whether the set of vectors is linearly dependent or linearly independent. Justify your answer. 13
In exercises 2 and 2a, find as sequence of elementary matrices that can be used to write the matrix in row-echelon form. 2. A1 -1 2a. A [5 6 1
2-1 1 Write M1 0as a product of elementary matrices and find the inverse of M.
Previous Answers LarLinAlg8 2.4.029. My Notes Ask Your Teacher A O1/1 points Find a sequence of elementary matrices whose product is the given nonsingular matrix. Need Help? Read It Talk to a Tutor 1/1 points | Previous Answers LarLinAlg8 2.4.013. Ask Y 2. My Notes Find a sequence of elementary matrices that can be used to write the matrix in row-echelon form 0 1 2 9 18 0 1 1 0 1 T 0 1 01 0 1 0 1...
# 2 and # 3 2 -6 4 -4 0 -4 6 1. Define A = 8 01 . Determine, by hand, the LU factorization, of A. You may of course check your answer using appropriate technology tools. Then use your result to solve the system of equations Ax b, where b--4 2 0 5 2 2. Suppose A-6 -3 133Even though A is not square, it has an LU factorization A LU, 4 9 16 17 where L and...
linear algebra E [ 1 0 is the inverse of 0 1 Ix y E 4. Find 3 elementary matrices, E.E.E. so that E 0 0 3 5. Find an LU-factorization of (2 ool 0 -3 1 (10 12 3
[10 0110 01 cool Use elementary matrices to find the inverse of A = 0 1 0 || 01b || 0 1 0 , C+0. A-1 = Loa illo o illooi]
4. For the given elementary row operation e, find its inverse operation e-1 and the elementary matrices associated with e and e-1, e = R 2 R, the e: Add - 2 times the second row to the third row of 3 x 3 matrices.
Prove that type 1 elementary matrix is a product of type 2 and 3 elementary matrices
We have discussed elementary elimination matrices M_k in class. Prove the following two properties of elementary elimination matrices, which are very important for making LU factorization work efficiently in practice: M_k is nonsingular. Represent M_k^-1 explicitly and show that M_kM_k^-1 = M_k^-1M_k = I. The product of two elementary elimination matrices M_k and M_j with k notequalto j is essentially their "union"; and therefore they can be multiplied without any computational cost.