Monthly Archives: September 2011

Linear Algebra and Its Applications, Exercise 2.3.13

Exercise 2.3.13.What are the dimensions of the following spaces? a) vectors in with components that sum to zero b) the nullspace associated with the 4 by 4 identity matrix c) the space of all 4 by 4 matrices Answer: a) … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.12

Exercise 2.3.12.Suppose that the set of vectors , , ,  and ,  is a basis for and that is a subspace of . Provide a counterexample to the conjecture that some subset of , , ,  and is necessarily a … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.11

Exercise 2.3.11. Consider the subspace of consisting of all vectors whose first two components are equal. Find two different bases for this subspace. Answer: All vectors in the subspace are of the form . One basis for the subspace consists … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.10

Exercise 2.3.10. The set of all 2 by 2 matrices forms a vector space under the standard rules for multiplying two matrices and multiplying a matrix by a scalar. Find a basis for the space and describe the subspace spanned … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.9

Exercise 2.3.9. Give a basis for the column space of the matrix and express the other columns of in terms of it. Find a matrix that is reduced by elimination to the same but has a different column space than … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.8

Exercise 2.3.8. Describe the column space of the matrix and give a basis for it. Do the same for . Answer:The second column of is twice the first column, so that the two vectors are linearly dependent. The column space … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.7

Exercise 2.3.7. For each of the following, state whether the vector is in the subspace spanned by . (Construct a matrix with as the columns, and try to solve .) a) , , , b) , , , , any … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.6

Exercise 2.3.6. What are the geometric entities (e.g., line, plane, etc.) spanned by the following sets of vectors: a) , , and b) , , and c) the combined set of six vectors above (which vectors are a basis for … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.5

Exercise 2.3.5. If we test vectors by independence by putting them into the rows of a matrix (rather than the columns), how can we determine whether or not the rows are independent using the elimination process? Determine the independence of … Continue reading

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Linear Algebra and Its Applications, Exercise 2.3.4

Exercise 2.3.4. Suppose the vectors , , and are linearly independent. (The book says linearly dependent, but I believe this is a typo.) Are the vectors , , and also linearly independent? Answer: Consider the linear combination of , , … Continue reading

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