Final Exam for Applied Linear Algebra | MATH 310, Exams of Linear Algebra

Material Type: Exam; Class: Applied Linear Algebra; Subject: Mathematics; University: University of Illinois - Chicago; Term: Fall 2007;

Typology: Exams

Pre 2010

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Final Exam for Math 310: Applied Linear Algebra (22632)
December 12, 2007
Problem 1. (20pts) Let L:R3R3be the linear transformation
L
x1
x2
x3
=
4x1+x2+ 2x3
0
3x1x3
.
Find a matrix AR3×3such that L(x) = Ax. Determine the fixed points of L, i.e. apply
Gauss-Jordan reduction to the linear system Ax =xand determine a basis for its solutions.
Problem 2. (20pts) Let
A=
21 0
120
0 0 1
.
Determine the eigenvalues and eigenspaces of A. Find an orthogonal matrix UR3×3such
that UTAU is diagonal. What is the general solution to the system of linear differential
equations y0=Ay?
Problem 3. (20pts) Let
A=
12
11
11
1 0
and b=
1
1
0
0
.
Apply the Gram-Schmidt algorithm to compute the QR-factorization of A. What is the least
square solution to Ax =b? Find the projection and distance of bto R(A).
Problem 4. (20pts) Find the dimensions and bases for the row space, column space and
null space of
A=
132
21 1
2 0 2
.
Problem 5. (20pts) Let S= span(v1, v2, v3), where
v1= [1,1,1]T, v2= [2,2,3]T,and v3= [2,2,2]T.
Determine the dimension and a basis for Sand S. What is the geometric description of S
and S?
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Final Exam for Math 310: Applied Linear Algebra (22632) December 12, 2007

Problem 1. (20pts) Let L : R^3 → R^3 be the linear transformation

L

x 1 x 2 x 3

4 x 1 + x 2 + 2x 3 0 − 3 x 1 − x 3

Find a matrix A ∈ R^3 ×^3 such that L(x) = Ax. Determine the fixed points of L, i.e. apply Gauss-Jordan reduction to the linear system Ax = x and determine a basis for its solutions.

Problem 2. (20pts) Let

A =

Determine the eigenvalues and eigenspaces of A. Find an orthogonal matrix U ∈ R^3 ×^3 such that U T^ AU is diagonal. What is the general solution to the system of linear differential equations y′^ = Ay?

Problem 3. (20pts) Let

A =

 and^ b^ =

Apply the Gram-Schmidt algorithm to compute the QR-factorization of A. What is the least square solution to Ax = b? Find the projection and distance of b to R(A).

Problem 4. (20pts) Find the dimensions and bases for the row space, column space and null space of

A =

Problem 5. (20pts) Let S = span(v 1 , v 2 , v 3 ), where

v 1 = [1, 1 , −1]T^ , v 2 = [− 2 , 2 , −3]T^ , and v 3 = [2, 2 , −2]T^.

Determine the dimension and a basis for S and S⊥. What is the geometric description of S and S⊥?

Problem 6. (20pts) Let E = [u 1 , u 2 ] be a basis of R^2 , where

u 1 = [1, 1]T^ and u 2 = [− 1 , 1]T^.

Consider the linear transformation L : R^2 → R^2 for which

L(y 1 u 1 + y 2 u 2 ) = (2y 1 − y 2 )u 1 + (−y 1 + y 2 )u 2 ,

where y 1 , y 2 ∈ R are the coordinates of a vector in basis E. What is the matrix B of L in the basis E? Find the transition matrix T for the change of basis from E to the standard basis and determine the matrix A of L in the standard basis.

Problem 7. (20pts) Use Gauss-Jordan reduction to determine the smallest t ≥ 0 such that

A =

− 1 2 t

is invertible and compute A−^1 for this value of t.

Problem 8. (20pts) Determine the singular value decomposition of the matrix

A =

[

]