MATH 2210 – Applied Linear Algebra Practice Final Exam, Exercises of Linear Algebra

MATH 2210 – Applied Linear Algebra. December 9, 2015. Practice Final Exam. 1. Find the standard matrix for the linear transformation T : R3 → R2 such that.

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MATH 2210 Applied Linear Algebra December 9, 2015
Practice Final Exam
1. Find the standard matrix for the linear transformation T:R3R2such that
T
1
0
0
=0
1, T
0
1
0
=1
1, T
0
0
1
=3
2.
2. True or False. If T:R2R2rotates vectors about the origin though an angle π/10, then Tis a linear
transformation. Explain.
3. Find the eigenvalues and the eigenvectors of the matrix
52 3
010
6 7 2
4. Let
A=2 12
1 5
Find a diagonal matrix Dand an invertible matrix Psuch that A=PDP 1. Compute A10.
5. For the following matrices Afind the basis for N ul(A), Row(A), C ol(A). What is rank(A)?
A=
12201
02110
00001
00000
.
6. If the null space of a 50 ×60 matrix Ais 40-dimensional,
(a) What is the rank of A?
(b) Null(A) is a subspace of Rn, what is n?
(c) Col(A) is a subspace of Rn, what is n?
7. Let Abe a n-by-nmatrix that satisfies A2=A. What can you say about the determinant of A?
8. Suppose a 4 ×7 matrix Ahas four pivot columns. Is Col A=R4? Is Nul A=R3? Explain.
9. Show that the set {u1,u2,u3}is an orthogonal set in R3. Then express a vector xas a linear combi-
nation of u0s, where
u1=
3
3
0
,u2=
2
2
1
,u3=
1
1
4
,x=
5
3
1
.
pf2

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MATH 2210 – Applied Linear Algebra December 9, 2015

Practice Final Exam

  1. Find the standard matrix for the linear transformation T : R^3 → R^2 such that

T

, T

, T

  1. True or False. If T : R^2 → R^2 rotates vectors about the origin though an angle π/10, then T is a linear transformation. Explain.
  2. Find the eigenvalues and the eigenvectors of the matrix  
  1. Let

A =

Find a diagonal matrix D and an invertible matrix P such that A = P DP −^1. Compute A^10.

  1. For the following matrices A find the basis for N ul(A), Row(A), Col(A). What is rank(A)?

A =

  1. If the null space of a 50 × 60 matrix A is 40-dimensional,

(a) What is the rank of A? (b) N ull(A) is a subspace of Rn, what is n? (c) Col(A) is a subspace of Rn, what is n?

  1. Let A be a n-by-n matrix that satisfies A^2 = A. What can you say about the determinant of A?
  2. Suppose a 4 × 7 matrix A has four pivot columns. Is Col A = R^4? Is Nul A = R^3? Explain.
  3. Show that the set {u 1 , u 2 , u 3 } is an orthogonal set in R^3. Then express a vector x as a linear combi- nation of u′s, where

u 1 =

 (^) , u 2 =

 (^) , u 3 =

 (^) , x =

  1. Using the Gram-Schmidt process to produce an orthogonal basis for W = span{v 1 , v 2 , v 3 }, where

v 1 =

 ,^ v^2 =

 ,^ v^3 =