Category Archives: linear algebra

Linear Algebra and Its Applications, Review Exercise 2.6

Review exercise 2.6. Given the matrices find bases for each of their four fundamental subspaces. Answer: The second column of is equal to twice the first column so the rank of (and the dimension of the column space of ) … Continue reading

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Linear Algebra and Its Applications, Review Exercise 2.5

Review exercise 2.5. Given the matrices find their ranks and nullspaces. Answer: We can use elimination to reduce to echelon form. We first exchange the first and third rows: and then subtract 1 times the second row from the third … Continue reading

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Linear Algebra and Its Applications, Review Exercise 2.4

Review exercise 2.4. Given the matrix find its echelon form and the dimensions of the column space, nullspace, row space, and left nullspace of . Answer: We perform elimination on to reduce it to echelon form. In the first step … Continue reading

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Linear Algebra and Its Applications, Review Exercise 2.3

Review exercise 2.3. State whether each of the following is true or false. If false, provide a counterexample. i) If a subspace is spanned by a set of vectors through then the dimension of is . ii) If and are … Continue reading

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Linear Algebra and Its Applications, Review Exercise 2.2

Review exercise 2.2. Find a basis for a two-dimensional subspace of that does not contain , , or . Answer: One approach is to come up with a linear system that has a two-dimensional nullspace that excludes the coordinate vectors. … Continue reading

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Linear Algebra and Its Applications, Review Exercise 2.1

Review exercise 2.1. For each of the following subspaces of find a suitable set of basis vectors: a) all vectors for which b) all vectors for which and c) all vectors consisting of linear combinations of the vectors , , … Continue reading

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Linear Algebra and Its Applications, Exercise 2.6.21

Exercise 2.6.21. Consider the transformation from to that takes into . What is the axis of rotation for the transformation? What is the angle of rotation? Answer: We can approach this problem in at least two ways. The first way … Continue reading

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Linear Algebra and Its Applications, Exercise 2.6.20

Exercise 2.6.20. A nonlinear transformation from a vector space to a vector space is invertible a) if for any in there exists some in such that and b) if and are in then implies that . Describe which of the … Continue reading

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Linear Algebra and Its Applications, Exercise 2.6.19

Exercise 2.6.19. Let be the vector space consisting of all cubic polynomials of the form and let be the subset of consisting of only those cubic polynomials for which . Show that is a subspace of and find a set … Continue reading

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Linear Algebra and Its Applications, Exercise 2.6.18

Exercise 2.6.18. Given a vector in find a matrix that produces a corresponding vector in in which all entries are shifted right one place. Find a second matrix that takes a  vector in and produces the vector in in which … Continue reading

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