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This is the Exam of Computational Linear Algebra and its key important points are: Matrix with Eigenvalues, Eigenvectors, Real Numbers, Homogeneous Equations, Linear Transformation, Transpose, Invertible Matrices, Transformation, Linear Map, Real Constant
Typology: Exams
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Signature Printed Name
April 29, 2005 1:30 — 3:
Directions This exam has 12 problems (10 points each). Closed book, no calculators – but you may use one 3”× 5” card with notes.
− 1 − 2 − 5 6 0 4 12 5 − 1 2 7 4
0 (^01)
5 5 3
, and Z :=
− 3 1 0
You are given that the vector X 0 is a particular solution of AX = Y and Z is in the nullspace of A. a) Find another solution (other than X 0 ) of AX = Y.
b) If Z is a basis for the nullspace of A, find the general solution of AX = Y.
b) The columns of A span Rn^.
c) The only solution of the homogeneous equations Ax = 0 is x = 0.
d) The linear transformation A : Rn^ → Rn^ defined by A is 1-1.
e) The linear transformation A : Rn^ → Rn^ defined by A is onto.
f) The rank of A is n.
g) The transpose, AT^ , is invertible.
Score
1 2 3 4 5 6 7 8 9
Total
Name (print) 2
b). Find a linear map of the plane that inverts this map, that is, it maps the larger F to the smaller.
− 3 b b − 3
, where b is a real constant. To save time, you are given that the
eigenvalues of A are λ = − 3 ± b. Consider the system of differential equations
dU dt
= AU for the vector U (t). Find all values of the parameter b so that limt→∞ U (t) = 0.
[Circle the correct answer] a). All b > 0 b). |b| < 3 b). b < 9 d). b < 3 e). b < − 3 f). |b| ≤ 3
b). If B = 13 A, find an invertible matrix P and a diagonal matrix D so that B = P DP −^1. c). What can you say about limk→∞ Bk^? (Please briefly justify your assertion.)