![]() Row-column rule is probably easier to use than the The product AC is not defined because the number of columns of A ![]() Outer products also appear in Exercisesģ134 of Section 4.6 and in the spectral decomposition of a Or, theseĮxercises could be assigned after starting Section 2.2.Įxercises 27 and 28 are optional, but they are mentioned inĮxample 4 of Section 2.4. ![]() A class discussion of the solutions ofĮxercises 2325 can provide a transition to Section 2.2. Exercises 2325 are mentioned in aįootnote in Section 2.2. Mainly because vectors here are usually written as columns.) IĪssign Exercise 13 and most of Exercises 1722 to reinforce theĮxercises 23 and 24 are used in the proof of the Invertible (The dualįact about the rows of A and the rows of AB is seldom needed, Proper view of AB for nearly all matrix calculations. Notes: The definition here of a matrix product AB gives the For mental computation, the row-column rule is probably easier to use than the definition. Next, use B – 2 A = B + (–2 A ): 7 5 1 4 0 2 3 5 3 2 1 4 3 8 10 4 7 6 7 B A − − − − = + = − − − − − − The product AC is not defined because the number of columns of A does not match the number of rows of C. Exercises 29–33 provide good training for mathematics majors. ![]() Outer products also appear in Exercises 31–34 of Section 4.6 and in the spectral decomposition of a symmetric matrix, in Section 7.1. Exercises 27 and 28 are optional, but they are mentioned in Example 4 of Section 2.4. ![]() Or, these exercises could be assigned after starting Section 2.2. A class discussion of the solutions of Exercises 23–25 can provide a transition to Section 2.2. Exercises 23–25 are mentioned in a footnote in Section 2.2. Exercises 23 and 24 are used in the proof of the Invertible Matrix Theorem, in Section 2.3. (The dual fact about the rows of A and the rows of AB is seldom needed, mainly because vectors here are usually written as columns.) I assign Exercise 13 and most of Exercises 17–22 to reinforce the definition of AB. 83 2.1 SOLUTIONS Notes : The definition here of a matrix product AB gives the proper view of AB for nearly all matrix calculations. ![]()
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