Practice Problems for Linear Algebra, Slides of Linear Algebra

Practice problems for linear algebra. It covers topics such as finding a basis for the row and column space, determining the rank and null space of matrices, using determinants to determine rank, and linear transformations. The problems are designed to help students prepare for exams and assignments.

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Math 327
Exam 5 - Practice Problems
1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix.
(a)
12 5 4
2 1 3 7
17 18 5
(b)
1 3 4 1
0 4 5 2
2115
2 3 4 7
3 2 3 6
2. Find a basis for the column space of each of the matrices from problem 1. Your basis should consist of columns of the
original matrix.
3. Find the rank of each of the matrices from problem 1.
4. Find a basis for the null space of each of the matrices from problem 1.
5. Use the determinant to determine whether or not each of the following matrices has rank 3:
(a)
231
01 2
2 1 6
(b)
2 3 1
0 4 7
2 1 6
6. Use the rank of the coefficient matrix to determine whether or not each of the following homogeneous systems have a
non-trivial solution.
(a) A~x =~
0 if A=
5124
2301
1537
0 2 3 1
(b) A~x =~
0 if A=
51 2 4
23 0 1
15 3 7
07 6 13
7. Suppose that Ais a 4 ×7 matrix.
(a) What is the maximum rank of A?
(b) Could the columns of Abe linearly independent? Justify your answer.
(c) Could the rows of Abe linearly independent? Justify your answer.
(d) If the rank of Ais 3, find the nullity of A.
(e) If the rank of Ais 3, find the nullity of AT.
8. Let Abe an n×nmatrix. Show that rank A=nif and only if the columns of Aare linearly independent.
9. Consider the following functions from R3R2:
L1
u1
u2
u3
=u1u2
u3L2
u1
u2
u3
=u1u2
0
L3
u1
u2
u3
=u1u2
1L4
u1
u2
u3
=u1u2
u2
3
(a) Determine whether or not each of these functions is a linear transformation. Justify your answer.
(b) For each Lithis is a linear transformation, find a matrix representing the linear transformation.
(c) For each Lithis is a linear transformation, find the kernel and range of the linear transformation.
10. Suppose that Lis a linear transformation with:
L
1
1
1
=
1
1
0
,L
1
0
1
=
0
1
2
, and L
0
0
1
=
3
0
0
pf2

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Math 327 Exam 5 - Practice Problems

  1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix.

(a)

(b)

  1. Find a basis for the column space of each of the matrices from problem 1. Your basis should consist of columns of the original matrix.
  2. Find the rank of each of the matrices from problem 1.
  3. Find a basis for the null space of each of the matrices from problem 1.
  4. Use the determinant to determine whether or not each of the following matrices has rank 3:

(a)

 (^) (b)

  1. Use the rank of the coefficient matrix to determine whether or not each of the following homogeneous systems have a non-trivial solution.

(a) A~x = ~0 if A =

(b) A~x = ~0 if A =

  1. Suppose that A is a 4 × 7 matrix. (a) What is the maximum rank of A? (b) Could the columns of A be linearly independent? Justify your answer. (c) Could the rows of A be linearly independent? Justify your answer. (d) If the rank of A is 3, find the nullity of A. (e) If the rank of A is 3, find the nullity of AT^.
  2. Let A be an n × n matrix. Show that rank A = n if and only if the columns of A are linearly independent.
  3. Consider the following functions from R^3 → R^2 : L 1

u 1 u 2 u 3

[ (^) u 1 −^ u 2 u 3

]

L 2

u 1 u 2 u 3

[ (^) u 1 −^ u 2 0

]

L 3

u 1 u 2 u 3

[ (^) u 1 −^ u 2 1

]

L 4

u 1 u 2 u 3

[ (^) u 1 −^ u 2 u^23

]

(a) Determine whether or not each of these functions is a linear transformation. Justify your answer. (b) For each Li this is a linear transformation, find a matrix representing the linear transformation. (c) For each Li this is a linear transformation, find the kernel and range of the linear transformation.

  1. Suppose that L is a linear transformation with: L

, L

, and L

(a) Find L

(b) Find the standard matrix representing this linear transformation. (c) Determine whether or not L is one-to-one.

  1. Let L

u 1 u 2 u 3

[ (^) u 1 +^ u 2 +^ u 3 0

]

(a) Prove that L is a linear transformation. (b) Show that L is not one-to-one and find a basis for ker L. (c) Determine whether or not L is onto.

  1. Let L

u 1 u 2 u 3

[ (^) u 1 +^ u 2 u 3 − u 2

]

(a) Prove that L is a linear transformation. (b) Show that L is not one-to-one and find a basis for ker L. (c) Determine whether or not L is onto.

  1. Prove Theorem 6.1(a)
  2. Prove Theorem 6.4(b)
  3. Given a linear transformation L : V → W , suppose that dim V = n and dim W = m with m > n.

(a) Could L be one-to-one? Justify your answer. (b) Could L be onto? Justify your answer. (c) Could L be invertible? Justify your answer.

  1. Consider the matrix:

[ 4 − 1

]

(a) Find the characteristic polynomial for each of this matrix. (b) Find the eigenvalues for this matrix. (c) For each eigenvalue, find an associated eigenvector.

  1. Consider the matrix:

(a) Find the characteristic polynomial for each of this matrix. (b) Find the eigenvalues for this matrix. (c) For each eigenvalue, find an associated eigenvector.