Exam 1 with Solution for Applied Linear Algebra | MATH 415, Exams of Linear Algebra

Material Type: Exam; Class: Applied Linear Algebra; Subject: Mathematics; University: University of Illinois - Urbana-Champaign; Term: Unknown 2000;

Typology: Exams

Pre 2010

Uploaded on 03/16/2009

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Math 415 Exam # 1 Solutions
1. (15 points) Let LD2×2denote the set of lower triangular 2×2 matrices, i.e. the
set of matrices of the form
A=x10
x2x3
(a) Show that LD2×2is a subspace of M2×2
Solution: (5 points)
aA +bB =ax10
x2x3+by10
y2y3=ax1+by10
ax2+by2ax3+by3
is lower triangular for any lower triangular matrices Aand Band any
scalars aand bso LD2×2is a subspace of M2×2
(b) Write down an equation that demonstrates that LD2×2is spanned by the
vectors
v1=1 0
0 0 , v2=0 0
1 0 , v3=0 0
0 1
Solution: (4 points)
x10
x2x3=x11 0
0 0 +x20 0
1 0 +x30 0
0 1
(c) Are v1, v2,and v3linearly independent? Justify your response.
Solution: (4 points) By the last equation, the only way that we can have
c1v1+c2v2+c3v3= 0 is if
c10
c2c3=0 0
0 0
and so we see immediately that c1=c2=c3= 0.
(d) What is the dimension of LD2×2and why?
Solution: (2 points) By parts b and c the vis form a basis of LD2×2and
so the dimension is 3.
2. (15 points) Let SLD3×3denote the set of special lower triangular 3×3 matrices,
i.e. the set of matrices of the form
A=
1 0 0
x11 0
x2x31
(a) Is SLD3×3a subspace of M3×3? Explain.
Solution: (2 points) No. It is not closed under scalar multiplication since
a multiple of Awill not have 1’s along the diagonal.
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Math 415 Exam # 1 Solutions

  1. (15 points) Let LD 2 × 2 denote the set of lower triangular 2 × 2 matrices, i.e. the set of matrices of the form

A =

x 1 0 x 2 x 3

(a) Show that LD 2 × 2 is a subspace of M 2 × 2 Solution: (5 points)

aA + bB = a

x 1 0 x 2 x 3

  • b

y 1 0 y 2 y 3

ax 1 + by 1 0 ax 2 + by 2 ax 3 + by 3

is lower triangular for any lower triangular matrices A and B and any scalars a and b so LD 2 × 2 is a subspace of M 2 × 2 (b) Write down an equation that demonstrates that LD 2 × 2 is spanned by the vectors v 1 =

, v 2 =

, v 3 =

Solution: (4 points) ( x 1 0 x 2 x 3

= x 1

  • x 2
  • x 3

(c) Are v 1 , v 2 , and v 3 linearly independent? Justify your response. Solution: (4 points) By the last equation, the only way that we can have c 1 v 1 + c 2 v 2 + c 3 v 3 = 0 is if ( c 1 0 c 2 c 3

and so we see immediately that c 1 = c 2 = c 3 = 0. (d) What is the dimension of LD 2 × 2 and why? Solution: (2 points) By parts b and c the vis form a basis of LD 2 × 2 and so the dimension is 3.

  1. (15 points) Let SLD 3 × 3 denote the set of special lower triangular 3×3 matrices, i.e. the set of matrices of the form

A =

x 1 1 0 x 2 x 3 1

(a) Is SLD 3 × 3 a subspace of M 3 × 3? Explain. Solution: (2 points) No. It is not closed under scalar multiplication since a multiple of A will not have 1’s along the diagonal.

(b) What is the permutted LU factorization of the elements of SLD 3 × 3 , i.e. of the matrix A? Solution: (3 points) A is already in factored form if we choose P = I, L = A and U = I. (c) What is the determinant of the elements of SLD 3 × 3 , i.e. of the matrix A? Solution: (2 points) det A is the product of the diagonal elements of U = I and hence is 1. (d) What is the inverse of

E 12 (2) =

Solution: (3 points)

E 12 (2)−^1 = E 12 (−2) =

(e) Compute the inverse of

B =

Solution: (5 points) Since B = E 12 (2)E 23 (3), we conclude that B−^1 = E 23 (3)−^1 E 12 (2)−^1 = E 23 (−3)E 12 (−2), that is

B−^1 =

  1. (10 points) What are the coordinates of the vector p(x) = x^2 + 1 in P (2)^ relative to the vectors

p 1 (x) = x^2 + x + 1 p 2 (x) = 2x^2 + 3x − 2 p 3 (x) = x^2 + 2x − 3

Explain and justify your answer carefully. Solution: We must find constants c 1 , c 2 , c 3 such that

x^2 + 1 = c 1 (x^2 + x + 1) + c 2 (2x^2 + 3x − 2) + c 3 (x^2 + 2x − 3) = (c 1 + 2c 2 + c 3 )x^2 + (c 1 + 3c 2 + 2c 3 )x + (c 1 − 2 c 2 − 3 c 3 )

(a) Find a basis for rngA for the matrix

A =

Solution: (9 points) By Gaussian elimination

A =

Since the pivots appear in columns 1, 2, and 4, a basis for the range of A consists of columns 1, 2, and 4 of A, namely  

 (^) , and

(b) What is rankA? Solution: (1 point) 3, the number of pivots.