MATH348 Exam I - September 30, 2009: Linear Algebra Problems, Exams of Linear Algebra

A linear algebra exam from math348, held on september 30, 2009. The exam covers various topics such as solving systems of linear equations, finding dimensions of null-space, column-space, and row-space, determining inconsistent or consistent systems, finding eigenvalues and eigenvectors, and solving for the general solution of a system of linear equations.

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MATH348 - September 30, 2009 NAME:
Exam I - 50 Points SECTION:
In order to receive full credit, SHOW ALL YOUR WORK. Full credit will be given only if all
reasoning and work is provided. When applicable, please enclose your final answers in boxes.
1. (10 Points) Short Answer - Justify your response.
(a) Suppose that Ax =b, where ARn×n, has no solutions. What can be said about solutions to Ax =0?
(b) Suppose that det(A) = 0. Could there exist a solution to Ax =bfor some bRn?
(c) Suppose that the column space of An×nis precisely Rn. What can be said about solutions to Ax =0?
(d) Suppose that λ= 0 is an eigenvalue of A. What can be said about solutions to Ax =0?
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MATH348 - September 30, 2009 NAME:

Exam I - 50 Points SECTION:

In order to receive full credit, SHOW ALL YOUR WORK. Full credit will be given only if all

reasoning and work is provided. When applicable, please enclose your final answers in boxes.

  1. (10 Points) Short Answer - Justify your response.

(a) Suppose that Ax = b, where A ∈ R

n×n , has no solutions. What can be said about solutions to Ax = 0?

(b) Suppose that det(A) = 0. Could there exist a solution to Ax = b for some b ∈ R

n ?

(c) Suppose that the column space of An×n is precisely R

n

. What can be said about solutions to Ax = 0?

(d) Suppose that λ = 0 is an eigenvalue of A. What can be said about solutions to Ax = 0?

  1. (10 Points) Quickies:

(a) Given,

A =

what is the dimension of the null-space, column-space and row-space of A?

(b) Given,

[

1 3

3 h

k

]

i. Is inconsistent.

ii. Is consistent with infinitely many solutions.

iii. Is consistent with a unique solution.

(c) Determine if S =

forms a linearly independent set.

(d) Given,

A =

, x =

find one eigenvalue of A.

(e) Given,

A =

find one eigenvalue of A.

  1. (10 Points) Given,

A =

Find all eigenvalues and eigenvectors of A.