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Analyttic Geometry and Matrix Midterm Exam 2 December 16, 2015 Name: Student Id: Scores:

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Analyttic Geometry and Matrix Midterm Exam 2 December 16, 2015

Name: Student Id: Scores:

You need to show your work to obtain credits

1. (10 points) Find the general solutions of system whose augmented matrix is given as follows.

1 −3 0 −1 0 −2

0 1 0 0 −4 1

0 0 0 1 9 4

0 0 0 0 0 0

Solution: Since the system of equations is equivalent to the following x1− 3x2− x4 = −2

x2− 4x5 = 1 x4+ 9x5 = 4













x4 = 4 − 9x5 x2 = 1 + 4x5 x1 = 3x2+ x4− 2

= 3(1 + 4x5) + 4 − 9x5− 2

= 3x5+ 5

Hence, the set of solutions is of the form {(3x5+ 5, 1 + 4x5, x3, 4 − 9x5, x5) | x3, x5∈ R},

i.e. the general solution is of the form x5(3, 4, 0, −9, 1) + x3(0, 0, 1, 0, 0) + (5, 1, 0, 4, 0), where x3and x5are arbitrary real numbers.

2. (10 points) Find x1, x2, and x3such that b = x1a1+ x2a2+ x3a3, where

a1=

 1 0 1

, a2=

−2 3

−2

, a3=

 4 7 5

, b =

 11

−5 9

.

Solution: Since

1 −2 4 11 0 3 7 −5 1 −2 5 9

R3→ R3− R1

−→

1 −2 4 11 0 3 7 −5 0 0 1 −2

 ⇒





x3 = −2

3x2 = −5 − 7x3= 9 ⇒ x2= 3 x1 = 11 + 2x2− 4x3= 25

3. (10 points) Let A =

2 −5 8

−2 −7 1

4 2 7

. Describe all solutions of Ax = 0 in parametric vector form.

(2)

Analytic Geometry and Matrix Midterm Exam 2 (Continued) December 16, 2015

Solution: Since

2 −5 8

−2 −7 1 4 2 7

R2→ R2+ R1

−→

R3→ R3− 2R1

2 −5 8

0 −12 9 0 12 −9

R3→ R3+ R2

−→

2 −5 8 0 −12 9

0 0 0

 Thus, we have





12x2 = 9x3 ⇒ x2=3 4x3 2x1 = 5x2− 8x3= 15

4 x3− 8xx ⇒ x1= −17 8 x3 and the solutions are of the form x3(−17

8 ,3

4, 1), where x3is an arbitrary real number.

4. (10 points) Determine if the columns of the matrix

0 −3 9

2 1 −7

−1 4 −5

1 −4 −2

form a linearly independent set. Justify your answer.

Solution: Since

0 −3 9 2 1 −7

−1 4 −5 1 −4 −2

R4↔ R1

−→

1 −4 −2 2 1 −7

−1 4 −5 0 −3 9

R2→ R2− 2R1 R3→ R3+ R1

−→

1 −4 −2 0 9 −3 0 0 −7 0 −3 9

R2↔ R4

−→

1 −4 −2 0 −3 9 0 0 −7 0 9 −3

R4→ R4+ 3R2

−→

1 −4 −2 0 −3 9 0 0 −7

0 0 24

R4→ R4+24 7 R3

−→

1 −4 −2 0 −3 9 0 0 −7

0 0 0

has 3 pivot positions, the equation 0 = Ax = A

 x1 x2 x3

has only trivial solutions, i.e. column vectors are linearly independent.

5. Let T (x1, x2) = (3x1+ x2, 5x1+ 7x2, x1+ 3x2).

(a) (10 points) Find the standard matrix A for the linear transformation T.

(b) (10 points) Show that T is a one-to-one linear transformation.

(c) (10 points) Determine the range of T.

Solution:

(3)

Analytic Geometry and Matrix Midterm Exam 2 (Continued) December 16, 2015

(a)

A=

 3 1 5 7 1 3

 (b) Since

 3 1 5 7 1 3

R3↔ R1

−→

 1 3 5 7 3 1

R2→ R2− 5R1

−→

R3→ R3− 3R1

1 3

0 −8 0 −8

R3→ R3− R2

−→

1 3

0 −8

0 0

has 2 pivot positions, column vectors

 3 5 1

and

 1 7 3

are linearly independent which implies that T is a one-to-one linear transformation.

(c) For each

 b1 b2 b3

∈ R3, since

3 1 b1 5 7 b2 1 3 b3

R3↔ R1

−→

1 3 b3 5 7 b2 3 1 b1

R2→ R2− 5R1

−→

R3→ R3− 3R1

1 3 b3

0 −8 b2− 5b3 0 −8 b1− 3b3

R3→ R3− R2

−→

1 3 b3

0 −8 b2− 5b3 0 0 b1− b2+ 2b3

 the range of T is

Range(T ) = {

 b1 b2 b3

∈ R3| b1− b2+ 2b3= 0}.

6. Let

A=

1 −2 −1

−2 2 0

4 −1 3

. (a) (10 points) How many rows of A contain a pivot positions?

(b) (10 points) Can each vector in R3be written as a linear combination of the columns of the matrix A? Why or why not?

(c) (10 points) Find the subset of R3spanned by the columns of A.

Solution:

(a) Since

1 −2 −1

−2 2 0

4 −1 3

R2→ R2+ 2R1

−→

R3→ R3− 4R1

1 −2 −1 0 −2 −2

0 7 7

R2→ −1 2R2

−→

R3→ R3− 3R1

1 −2 −1

0 1 1

0 7 7

(4)

Analytic Geometry and Matrix Midterm Exam 2 (Continued) December 16, 2015

R3→ R3− 7R2

−→

1 −2 −1

0 1 1

0 0 0

 has 2 pivot positions.

(b) Since the 3 × 3 matrix A has only 2 pivot positions, Ax = 0 has nontrivial solutions, or equiva- lently, the column vectors of A are linearly dependent.

(c) For each

 b1 b2 b3

∈ R3, since

1 −2 −1 b1

−2 2 0 b2

4 −1 3 b3

R2→ R2+ 2R1

−→

R3→ R3− 4R1

1 −2 −1 b1 0 −2 −2 b2+ 2b1 0 7 7 b3− 4b1

R2→ −1 2R2

−→

R3→ R3− 3R1

1 −2 −1 b1 0 1 1 −b2

2 − b1 0 7 7 b3− 4b1

R3→ R3− 7R2

−→

1 −2 −1 b1

0 1 1 −b2 2 − b1 0 0 0 b3+ 3b1+7

2b2

 the span of column vectors of A is

Span(A) = {

 b1 b2 b3

∈ R3| 3b1+7

2b2+ b3= 0}.

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