1. Consider the linear system
	4x1 +  x2 =  2
	 x1 + 5x2 = 10
  a. Show that the coefficient matrix A is non-singular (invertible).   
  b. Solve the system by Gauss elimination (REF and back substitution). 
  c. Solve the system by LU factorization of A. 
  d. Use the LU factorization to find A-1. 
  e. Solve the system via x = A-1b. 

2. Let A = the coefficient matrix in Problem 1, and b = [2,10]T.
  a. Find the 1-norm, the 2-norm, and the infinity-norm of b.    
  b. Find the 1-norm and the infinity-norm of A. 
  c. Find the 1-norm and the infinity-norm of A-1.    

3. The exact solution in Problem 1 is x = [0 2]T.
   Considering y = [0.1 2.1]T as an approximation to x:
  a. Find the absolute and relative error (e=y-x) in the 1-norm and the inf-norm.
  b. Find the absolute and relative residual (r=Ay-b) in 1-norm and inf-norm.
  c. Compute the condition number κ(A) in inf-norm. 
  d. Verify the absolute error bound:  ∥e∥ ≤ ∥A-1∥∥r∥   (in inf-norm).
  e. Verify the relative error bound:  ∥e∥/∥x∥ ≤ κ ∥r∥/∥b∥   (in inf-norm).

4. For square matrices A, consider the quantity  ∥A∥o = max |aij|   
  a. Show it is a norm (satisfies the 3 axioms for a norm).
  b. Show that it does NOT necessarily satisfy the very desirable property
		∥AB∥ ≤ ∥A∥∥B∥   (find specific A, B for which it fails).
     so this is NOT a good norm! (and it is NOT an induced norm).