031 Review Part 2, Problem 10
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(a) Suppose a matrix has 4 pivot columns. What is Is Why or why not?
(b) If is a matrix, what is the smallest possible dimension of
| Foundations: |
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| 1. The dimension of is equal to the number of pivots in |
| 2. By the Rank Theorem, if is a matrix, then |
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Solution:
(a)
| Step 1: |
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| Since has 4 pivot columns, |
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| Step 2: |
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| Since is a matrix, contains vectors in |
| Since a vector in is not a vector in we have |
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(b)
| Step 1: |
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| By the Rank Theorem, we have |
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| Thus, |
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| Step 2: |
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| If we want to minimize we need to maximize |
| To do this, we need to find out the maximum number of pivots in |
| Since is a matrix, the maximum number of pivots in is 5. |
| Hence, the smallest possible value for is |
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| Final Answer: |
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| (a) and |
| (b) |