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Practice problems for linear algebra. It covers topics such as finding a basis for the row and column space, determining the rank and null space of matrices, using determinants to determine rank, and linear transformations. The problems are designed to help students prepare for exams and assignments.
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Math 327 Exam 5 - Practice Problems
(a)
(b)
(a)
(^) (b)
(a) A~x = ~0 if A =
(b) A~x = ~0 if A =
u 1 u 2 u 3
[ (^) u 1 −^ u 2 u 3
u 1 u 2 u 3
[ (^) u 1 −^ u 2 0
u 1 u 2 u 3
[ (^) u 1 −^ u 2 1
u 1 u 2 u 3
[ (^) u 1 −^ u 2 u^23
(a) Determine whether or not each of these functions is a linear transformation. Justify your answer. (b) For each Li this is a linear transformation, find a matrix representing the linear transformation. (c) For each Li this is a linear transformation, find the kernel and range of the linear transformation.
, and L
(a) Find L
(b) Find the standard matrix representing this linear transformation. (c) Determine whether or not L is one-to-one.
u 1 u 2 u 3
[ (^) u 1 +^ u 2 +^ u 3 0
(a) Prove that L is a linear transformation. (b) Show that L is not one-to-one and find a basis for ker L. (c) Determine whether or not L is onto.
u 1 u 2 u 3
[ (^) u 1 +^ u 2 u 3 − u 2
(a) Prove that L is a linear transformation. (b) Show that L is not one-to-one and find a basis for ker L. (c) Determine whether or not L is onto.
(a) Could L be one-to-one? Justify your answer. (b) Could L be onto? Justify your answer. (c) Could L be invertible? Justify your answer.
(a) Find the characteristic polynomial for each of this matrix. (b) Find the eigenvalues for this matrix. (c) For each eigenvalue, find an associated eigenvector.
(a) Find the characteristic polynomial for each of this matrix. (b) Find the eigenvalues for this matrix. (c) For each eigenvalue, find an associated eigenvector.