Reference no: EM132458126
Assignment - Linear Algebra Questions
Q1. (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?
Q2. Let A denote the matrix
![1356_figure.png](https://secure.expertsmind.com/CMSImages/1356_figure.png)
Let T: R2 → R2 be the linear transformation given by T(x) = Ax.
(a) 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?)
Q3. (a) Compute the inverse of the matrix ![752_figure1.png](https://secure.expertsmind.com/CMSImages/752_figure1.png)
(b) Find all solutions to the system of linear equations
-4x + 5z = -2
-3x - 3y + 5z = 3
-x + 2y + 2z = -1
Q4. 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
Q5. Let A denote the matrix
![992_figure2.png](https://secure.expertsmind.com/CMSImages/992_figure2.png)
(a) Find the eigen-values 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.