Subspace - Matrix Algebra - Exam, Exams of Algebra

This is the Exam of Matrix Algebra which includes Unique Solution, System, Solutions, Infinitely Many Solutions, General Solution, Parametric Vector, Determinants, Matrices, Traffic Flow etc. Key important points are: Subspace, Depend, Linear, Matrix, Inverse, Dimension, Conditions, Vector, Spanned, Three Vectors

Typology: Exams

2012/2013

Uploaded on 02/25/2013

ekanath
ekanath 🇮🇳

3.8

(4)

76 documents

1 / 20

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Math 221, Section 203, Winter 2008 Page 1 of 20
Final Exam
April 21, 2008, 15:30–18:00
No books. No notes. No calculators. No electronic devices of any kind.
Name (block letters)
Student Number
Signature
1 2 3 4 5 6 7 8 9 10 total/65
This exam has 10 problems. The first 9 problems are common to all three
sections, the last problem is section-specific.
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14

Partial preview of the text

Download Subspace - Matrix Algebra - Exam and more Exams Algebra in PDF only on Docsity!

Math 221, Section 203, Winter 2008 Page 1 of 20

Final Exam

April 21, 2008, 15:30–18:

No books. No notes. No calculators. No electronic devices of any kind.

Name (block letters)

Student Number

Signature

1 2 3 4 5 6 7 8 9 10 total/

This exam has 10 problems. The first 9 problems are common to all three sections, the last problem is section-specific.

Problem 1. (5 points) Solve the following linear system. Your answer will depend on k.

x 1 + x 2 − 2 x 3 + x 4 = 1 2 x 1 + 2x 2 − 3 x 3 + x 4 = 2 3 x 1 + 3x 2 − 4 x 3 + x 4 = k

Problem 2. (5 points) Let the matrix A be

A =

0 1 0 t 0 3 1 t 1 0 − 1 t

Find the inverse of A if possible. Your answer will depend on t.

Problem 4. (5 points) Let L : R^2 → R^2 defined by L

([x y

])

[ (^) x y − x

]

. Let T =

{[ 1

]

[− 2

]}

be a basis of R^2. (a) Find the representation of L with respect to the basis T. (b) Let v be a vector in R^2 such that [L(v)]T =

[− 1

]

. Find v.

Problem 5. (6 points) Let L : R^3 → R^3 be a linear transformation for which we know that

L

 , L

 , L

(a) What is L

(b) Find the matrix A of L with respect to the standard basis. (c) Find det(A).

Problem 7. (5 points) Compute the determinant of the matrix   

1 0 t 0 1 0 0 1 0 2 3 0

Problem 9. (9 points)

Suppose ~vn =

xn yn zn

 (^) is the state vector of a dynamical system at time n. Suppose

the time dependence of the dynamical system is given by the equations

xn+1 = xn − yn + zn yn+1 = −xn + 3yn − zn zn+1 = −xn + 3yn − zn (a) Find all state vectors that do not change in time (these are vectors such that ~vn+1 = ~vn, for all n). (b) Given that ~v 0 =

, find ~v 100.

(c) Given that ~v 1 =

 (^) find all possible values for ~v 0.

Problem 10. (9 points) Let q(x, y, z) = − 3 x^2 − 8 xz + 5y^2 + 3z^2 be a quadratic form.

(a) Find a symmetric matrix A such that q(x, y, z) = [x y z]A

x y z

(b) The eigenvalues of A are 5 and -5. Find an orthogonal matrix P and a diagonal matrix D such that D = P −^1 AP. (c) Find a change of variables

x y z

 = P

x′ y′ z′

 (^) and a quadratic form q′(x′, y′, z′) such that q′^ is equivalent to q and q′^ does not involve any cross-product term.