Please read this introduction first before looking through the solutions. Here’s a quick index to all the problems in this section.
1. If and are linearly independent vectors, is it necessarily true that , are linearly independent?
This one is easy to contradict. If either or both and are in the nullspace of , then for a non-zero value of at least one the equation will hold. Hence the given statement is not true.
2. Do and always have the same characteristic values?
As , we can rewrite the second matrix as . Writing as , the second matrix becomes . But from Theorem 1, the matrices and must have the same characteristic values. Hence and have the same characteristic values.
3. Given and . Verify that and have the same characteristic values. Verify that and have the same rank for each characteristic value. Find the characteristic vectors of , and verify that multiplying each on the left by yields a characteristic vector for .
Both and have a characteristic value of 1 repeated 3 times. Rank of both and is 1. The characteristic vectors of are and . Multiplying them on the left by we get, , which are characteristic vectors of (multiplying them by just scales the vector).
4. Work Exercise , given and
Both and have a characteristic values 2, -1 and 1. Rank of both and is 2 for each characteristic values. The characteristic vectors of are , and . Multiplying them on the left by we get, , and which are characteristic vectors of (multiplying them by just scales the vector).
5. Work Exercise , given and
Both and have a characteristic values 3, -1 and 2. Rank of both and is 2 for each characteristic values. The characteristic vectors of are , and . Multiplying them on the left by we get, , and which are characteristic vectors of (multiplying them by just scales the vector).