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A midterm exam sample for a linear algebra course. It includes problems on systems of linear equations, row reduction and echelon forms, vector equations, matrix equations, and linear independence.
Typology: Exams
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Solve the linear system x 1 + x 2 + x 3 = 4 −x 1 − x 2 + x 3 = − 2 2 x 1 − x 2 + 2 x 3 = 2
Find the row reduced echelon form of the matrix below and mark the pivot positions: 1 − 2 − 4 3 2 5 − 2 9 1 7 2 6 0 5 − 2 9 1 − 2 − 4 3
Consider the linear system
3 x 1 + 2 x 2 − x 3 − x 4 = − 3 −x 1 + x 3 + 2 x 4 = 1 2 x 1 + 2 x 2 + x 4 = − 2 x 1 + 2 x 2 + x 3 + 3 x 4 = − 1
A. Write the linear system in the matrix form A x = b.
B. Solve the matrix equation A x = b and write the solution in parametric-vector form.
Let v 1 =
, v 2 =
, v 3 =
(^) and v 4 =
A. Show that S = { v 1 , v 2 , v 3 , v 4 } is linearly dependent. B. Show that T = { v 1 , v 2 , v 3 } is linearly independent. C. Show that v 4 can be written as a linear combination of v 1 , v 2 , v 3.
Mark each statement True or False. Justify your answer. Let S be a set of m vectors in R n.
A.) If m > n then S is linearly independent.
B.) If the zero vector is in S , then S is linearly dependent.
C.) If S is linearly independent and T is a subset of S , then T is linearly independent.
D.) If T is linearly dependent and T is a subset of S , then S is linearly dependent.
E.) The linear system A x = b has a unique solution if and only if the column vectors of A are linearly independent.