Question

1). Show that if AB = I (where I is the identity matrix) then A is...

1). Show that if AB = I (where I is the identity matrix) then A is non-singular and B is non-singular (both A and B are nxn matrices)


2). Given that det(A) = 3 and det(B) = 2, Evaluate (numerical answer) each of the following or state that it’s not possible to determine the value.

a) det(A^2)
b) det(A’) (transpose determinant)
c) det(A+B)
d) det(A^-1) (inverse determinant)

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In what follows, A and B denote 2 x 2 matrices. Answer each question below, with...
In what follows, A and B denote 2 x 2 matrices. Answer each question below, with justification. No one answer should be more than a few lines long. A1. If k is a scalar, how does the determinant of kA relate to the determinant of A? A2. Show that the determinant of A + B is not necessarily the same as det A + det B. (Remark: a single specific counterexample suffices!) A3. If A is singular and B is...
If I prove Det(A)Det(B) = Det(AB) for matrices A and B when A and B are...
If I prove Det(A)Det(B) = Det(AB) for matrices A and B when A and B are 2x2 matrices, can I use that to show that Det(A)Det(B) = Det(AB) for any n x n matrix? If so how?
If A is a non singular n × n matrix show that: a) adj(A) is non...
If A is a non singular n × n matrix show that: a) adj(A) is non singular b) [adj(A)]^−1 = det(A^−1 )A = adj(A^−1 )
Let A be a square matrix with an inverse A-1. Show that if Ab = 0...
Let A be a square matrix with an inverse A-1. Show that if Ab = 0 then b must be the zero vector.
A matrix A is called orthonormal if AAT = I. (a) Show that an orthonormal matrix...
A matrix A is called orthonormal if AAT = I. (a) Show that an orthonormal matrix is invertible and that the inverse is orthonormal. (b) Showtheproductoftwoorthonormalmatricesisalsoorthonormal. (c) By trials and errors, nd three orthonormal matrices of order 2. (d) Let x be a real number, show that the matrices A =cosx −sinx sinx cosx, B = cosx sinx −sinx cosx are orthonormal.
Using elementary transformations, determine matrices B and C so that BAC=I for the matrix A. Use...
Using elementary transformations, determine matrices B and C so that BAC=I for the matrix A. Use B and C to compute the inverse of A; that is, take the inverse of both sides of the equation BAC=I and then solve for A inverse. I need to find Matrix B, Matrix C, and Inverse of matrix A A= 1   2   1   1 0   1   2   0 1   2   2   1 0   -1 1   2
Let A be an n×n matrix, I be n×n identity matrix. Define Lij =I+Mij, (1) i...
Let A be an n×n matrix, I be n×n identity matrix. Define Lij =I+Mij, (1) i > j, where the only non-zero element of Mij is mij on i-th row, j-th column. 1. Calculate LijA. What is the relationship between LijA and A? 2. Calculate L−1. ij 3. Suppose now we have a series of nonzero real numbers mi+1,i, mi+2,i, · · · , mn,i. Define Li+1,i , Li+2,i , · · · , Ln,i in the fashion of equation...
Prove that for a square n ×n matrix A, Ax = b (1) has one and...
Prove that for a square n ×n matrix A, Ax = b (1) has one and only one solution if and only if A is invertible; i.e., that there exists a matrix n ×n matrix B such that AB = I = B A. NOTE 01: The statement or theorem is of the form P iff Q, where P is the statement “Equation (1) has a unique solution” and Q is the statement “The matrix A is invertible”. This means...
I am having a general question for linear equation. Suppose we have matrix A, B,x where...
I am having a general question for linear equation. Suppose we have matrix A, B,x where A is non-invertible and A,B,x are 3x3 matrices. If we have Ax= B mod 26, then how do we solve for x?
Suppose A is an orthogonal matrix. Show that |λ| = 1 for all eigen- values λ....
Suppose A is an orthogonal matrix. Show that |λ| = 1 for all eigen- values λ. (Hint: start off with an eigenvector and dot-product it with itself. Then cleverly insert A and At into the dot-product.) b) Suppose P is an orthogonal projection. Show that the only possible eigenvalues are 0 and 1. (Hint: start off with an eigenvector and write down the definition. Then apply P to both sides.) An n×n matrix B is symmetric if B = Bt....