Reference no: EM132728594
Linear Algebra
1. (a) Complete the definition: Vectors (v1) ?, . . . , (vk) ? are linearly independent if...
(b) Suppose A is an m × n matrix whose columns are linearly independent.
What is the nullity of A?
2. Let A denote the matrix
A= [((-√3)/2&-1/2@1/2&-√3/2)]
Let T : R2 → R2 be the linear transformation given by T ( x) = A x. (a) (5 points) Describe T geometrically.
(b) Find the characteristic polynomial of A, and use it to find all eigen- values of A or to show that none exist. Explain why your answer makes sense geometrically.
(c) Compute A2011 . (Hint: What power of A is equal to the identity?)
3. (a) Compute the inverse of the matrix [(-4&0&5@-3&3&5@-1&2&2)]
(b) Find all solutions to the system of linear equations
-4x + 5z = -2
-3x - 3y + 5z = 3
-x + 2y + 2z = -1
4. Using Gaussian elimination, find all solutions to the following system of linear equations:
2x2 + 3x3 + 4x4 = 1
x1 - 3x2 + 4x3 + 5x4 = 2
-3x1 + 10x2 - 6x3 - 7x4 = -4
5. Let A denote the matrix
[(1&0&-2@0&5&0@-2&0&4)]
(a) (4 points) Find the eigenvalues of A.
(b) Find an orthonormal basis of R3 consisting of eigenvectors for A.
(c) Find a 3 × 3 orthogonal matrix S and a 3 × 3 diagonal matrix D such that A = SDS-1 .