Explicitly - Matrix Methods - Exam, Exams of Mathematics

This is the Exam of Matrix Methods which includes Positive Definite, Dimension, Triangle Inequality, Functions, Matrix, Gramm Matrix, Plane, Positive Trace, Orthogonal Projection etc. Key important points are: Explicitly, Echelon, Dimension, Fundamental Subspaces, Basis, Orthogonal, Null Space, Orthornomal Set, Column Space, Stretches

Typology: Exams

2012/2013

Uploaded on 02/23/2013

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Linear Algebra
Practice Midterm 2
1. Consider A=







1āˆ’1 1
2āˆ’2 2
0 1 āˆ’3
2 1 āˆ’7
1 0 āˆ’2







.
(a) Find the echelon form of A.
(b) Find the dimension of the four fundamental subspaces of A.
(c) Find a basis for each of the four fundamental subspaces of A.
(d) Use your bases to show explicitly that the row space of Ais orthogonal to the null space of
A.
2. Consider B=


1āˆ’1
2āˆ’2
0 1


.
(a) Use Gram-Schmidt on the columns of Bto produce an orthornomal set.
(b) Find the QR factorization of B.
(c) The column space of Bis a subspace of what space?
(d) Find the matrix which projects onto the column space of B.
(e) Find the projection of the vector a=


1
1
1


onto the column space of B.
(f) Is the system Bx=aconsistent? Why or why not?
(g) Find the projection of the vector b=


1
2
1


onto the column space of B.
(h) Is the system Bx=bconsistent? Why or why not?
3. A linear transformation in R3stretches the x-axis by a factor of 3, shrinks the y-axis by a factor
of 2, and projects onto the xy plane.
(a) Find the matrix of this linear transformation.
(b) Describe the column space and null space of this transformation.
(c) Is this transformation invertible?
4. (a) What is the rank of the nƗnmatrix with every entry equal to 1?
(b) What is the rank of the nƗncheckerboard matrix with aij = 0 for i+jeven and aij = 1
for i+jodd?
5. Miscellaneaous Proofs.
(a) If Ais an nƗnmatrix of rank nand A2=A, prove that A=I.
(b) If you have a set of vectors v1,v2, . . . vnwhich are an orthonormal basis for Rn, prove that
v1vT
1+v2vT
2+Ā· Ā· Ā· vnvT
n=I.
(c) Prove that if a set of vectors v1,v2,. . . vnare orthonormal, they must be linearly independent.
1

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Linear Algebra Practice Midterm 2

  1. Consider A =

    

    

(a) Find the echelon form of A. (b) Find the dimension of the four fundamental subspaces of A. (c) Find a basis for each of the four fundamental subspaces of A. (d) Use your bases to show explicitly that the row space of A is orthogonal to the null space of A.

  1. Consider B =

  

  .

(a) Use Gram-Schmidt on the columns of B to produce an orthornomal set. (b) Find the QR factorization of B. (c) The column space of B is a subspace of what space? (d) Find the matrix which projects onto the column space of B.

(e) Find the projection of the vector a =

 

  onto the column space of B.

(f) Is the system Bx = a consistent? Why or why not?

(g) Find the projection of the vector b =

 

  onto the column space of B.

(h) Is the system Bx = b consistent? Why or why not?

  1. A linear transformation in R^3 stretches the x-axis by a factor of 3, shrinks the y-axis by a factor of 2, and projects onto the xy plane. (a) Find the matrix of this linear transformation. (b) Describe the column space and null space of this transformation. (c) Is this transformation invertible?
  2. (a) What is the rank of the n Ɨ n matrix with every entry equal to 1? (b) What is the rank of the n Ɨ n checkerboard matrix with aij = 0 for i + j even and aij = 1 for i + j odd?
  3. Miscellaneaous Proofs. (a) If A is an n Ɨ n matrix of rank n and A^2 = A, prove that A = I. (b) If you have a set of vectors v 1 , v 2 ,... vn which are an orthonormal basis for Rn, prove that v 1 vT 1 + v 2 vT 2 + Ā· Ā· Ā· vnvnT = I. (c) Prove that if a set of vectors v 1 , v 2 ,... vn are orthonormal, they must be linearly independent.