Problem 1
Give an example of a linear map with and .
Consider
Then the null space is all vectors of the form , giving . The range is all vectors of the form , which clearly gives . Note that this also fulfills the fundamental theorem of linear maps, since .
Problem 2
Suppose are such that . Prove that .
We have:
As , we have
for any in .
This means that for all . The final operation would be , and since linear maps take 0 to 0, we have .
Problem 3
Suppose is a list of vectors in . Define by
- (a) What property of corresponds to spanning ?
- (b) What property of corresponds to being linearly indepedent?
(a) If spans , for all , there must exist scalars such that
which is the definition of the linear transformation . Since every can be written as , we can say that . Thus, is surjective.
(b) If are linearly independent, if we have , we need .
The key here again is to recognize that the is the operation applied by our map . This means that if we apply the map and the result is zero as below:
the only possible case when this happens is when for linear independence. This implies that , and since injectivity implies null space is 0 and vice versa, the map must be injective.
Problem 4
Show that is not a subspace of .
We can show this is not closed under addition with a counterexample. Suppose we have , such that
Then, we have
This means that both and have dimension .
However, note that:
such that
which means that . Thus, , since members of must have null space dimension higher than 2. This means that is not closed under addition, and hence it cannot be a subspace of .
Problem 5
Give an example of such that .
An example would be
as this would give
In both the null space and the range, the first two elements are zero and the last two elements are arbitrary scalars.
Problem 6
Prove that there does not exist such that .
The rank-nullity theorem requires . In this case is , so . If we define , we would need or . Since dimension needs to be a whole number, this is not possible.
Problem 7
Suppose and are finite-dimensional with . Show that is not a subspace of .
Suppose and , with . Let be a basis of and be a basis of .
Define such that
To find the null space of , we consider . Since are linearly independent (as they are part of a basis), the only solution is . This means that for any , meaning that the null space consists of all scalar multiples of , which gives . Similarly, .
Since , these maps are not injective (injectivity implies null space is 0 and vice versa).
However:
Imitating the process above and finding the null space of by finding such that would show us that the only solution is , as we have the terms this time instead of . This means that is injective. Hence, we have found a counterexample showing that set is not closed under addition, and cannot be a subspace of .
Problem 8
Suppose and are finite-dimensional with . Show that is not a subspace of .
Let such that . Then define
Neither or are surjective since both of their ranges are one-dimensional subspaces of .
However
So has range , making it surjective.
Thus, since closure under addition does not hold, we have shown that this set cannot be a subspace of .
Problem 9
Suppose is injective and is linearly independent in . Prove that is linearly independent in .
Let
where .
By linearity, this implies that .
Since is injective, the equation implies that .
- This is because linear maps take 0 to 0, so in an injective map, can be the only input that gets mapped to .
Thus, we’ve shown that the original equation is equivalent to solving . Because is linearly independent, the only solution is . This means the only solution to is also . Thus, is also linearly independent.
Problem 10
Suppose spans and . Show that spans .
- For every , there exists some such that .
- As spans , there exists for which .
- Thus, any can be written as . This means that any is can be expressed as a linear combination of .
- Therefore, spans .
Problem 11
Suppose that is finite-dimensional and . Prove that there exists a subspace of such that
Problem 12
Suppose is a linear map from to such that
Prove that is surjective.
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