Linear Algebra Exam: Solutions for Gauss-Jordan, Inverse Matrices, Determinants, Vectors, Exams of Linear Algebra

The solutions for a linear algebra final exam covering topics such as gauss-jordan elimination, inverse matrices, determinants, and vector operations. Students can use this document as a study resource for understanding these concepts and preparing for exams.

Typology: Exams

2012/2013

Uploaded on 02/14/2013

ashay
ashay 🇮🇳

4.1

(15)

196 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
DAWSON COLLEGE
MATHEMATICS DEPARTMENT
FINAL EXAMINATION
LINEAR ALGEBRA
201-NYC-05 (SCIENCE)
MAY 2005 9:30-12:30
1. Given the linear system.
12 3 4
12 34
12 3 4
20
53 4 2
8 3 15 15 8
xx x x
xx xx
xx x x
−+ =
−+ +=
+− =
(a) Find the general solution by using Gauss-Jordan elimination.
(b) Find the particular solution for which 1
x7
=
.
2. Given
25 1
3513 1
23
xyz
xy z
xyz
−−=
−− =
+−=
(a) Find the inverse of the coefficient matrix.
12 5
3513
21 1
A
⎡⎤
⎢⎥
=−
⎢⎥
⎢⎥
⎣⎦
(b) Use the result in (a) to find the solution of the given system of equations.
3. (a) If
()
112
223
IA
−=
find A.
(b) Given the matrices.
21
12 1 13
,,01
35 2 31 14
AB C
⎡⎤
== =
⎢⎥
⎣⎦
,
find
13T
A
BC
.
pf3

Partial preview of the text

Download Linear Algebra Exam: Solutions for Gauss-Jordan, Inverse Matrices, Determinants, Vectors and more Exams Linear Algebra in PDF only on Docsity!

DAWSON COLLEGE

MATHEMATICS DEPARTMENT

FINAL EXAMINATION

LINEAR ALGEBRA

201-NYC-05 (SCIENCE)

MAY 2005 9:30-12:

  1. Given the linear system. 1 2 3 4 1 2 3 4 1 2 3 4

x x x x x x x x x x x x

(a) Find the general solution by using Gauss-Jordan elimination. (b) Find the particular solution for which x 1 = 7.

  1. Given 2 5 1 3 5 13 1 2 3

x y z x y z x y z

(a) Find the inverse of the coefficient matrix. 1 2 5 3 5 13 2 1 1

A

⎡ −^ − ⎤

= ⎢^ − − ⎥

(b) Use the result in (a) to find the solution of the given system of equations.

  1. (a) If (^) ( ) 1

I A −^

⎡ −^ − ⎤

find A. (b) Given the matrices. 2 1 (^1 2) , 1 1 3 , 0 1 3 5 2 3 1 1 4

A B C

−^ ⎡^ ⎤

= ⎡^ ⎤^ = ⎡^ ⎤^ =⎢^ ⎥

,

find (^) A −^1 B − 3 CT.

2

  1. (a) Given the matrix

a b c A d e f g h i

= ⎢^ ⎥

with det (^) ( A ) = − 2.

find ( ) ( ) ( ) ( ) ( ) ( )

g a i c h b d g f i e h a c b

.

(b) Use Cramer’s rule to solve for z. 6 2 2 5 2 1

x y z x y z x y z

  1. (a) Given a square matrix A. Prove that if P −^1 AP is invertible for some matrix P, then A is invertible. (b) Given the point A^ ( 1, 2,^ −^5 ) and the plane PL : x + 3 y + 2 z − 11 = 0. (i) Find the parametric equations of the line passing through the point A and perpendicular to the plane PL. (ii) Find the point on the plane PL closest to the point A.
  2. Given the vectors u = (^) ( 1, 2, 1) = i + 2 j + k , v = (^) ( 2, 1, 1) = 2 i + j + k

K K^ K^ K^ K K^ K K

. Find: (a) the cosine of the angle between u^ K^ and v^ K^. (b) Pr ojv K^ ( u K^ ). (c) a unit vector in the same direction as v^ K^.

  1. Given lines L : 1 x = − 2 + t , y = 13 − t , z = − 14 − 2 t , L 2 : x = − + 1 3 , s y = 2 + 4 , s z = − − 1 s , L : x = 14 + 9 , r y = 5 − 5 , r z = 4 + 7 r. (a) Show that L is perpendicular to L 1 and L 2. (b) Find the point Q of intersection of L with L 2. (c) Use the result of (b) and the fact that P ( −4, 15, − 10 )is the point of intersection of L with L 1 to find the (shortest) distance between the lines L 1 and L 2.