1. Determine whether or not the given vector is in the span of the vectors and .

a.

We need to check if a linear combination of and can produce , by creating an augmented matrix and reducing it:

so it is in the span:

b.

It is in the span:

c.
It is not in the span because the reduced augmented matrix is a unit matrix.

2. Find a vector in that is not in span

.

Cannot be in the span

3. Determine if the following vectors span .

and are not scalar multiples of one another and so they are not parallel, and do span

4. Determine if the following vectors span .

Any two vectors vectors form a plane, and cannot span all of

5. Give an example of a set of vectors that span .

6. Find all values of such that the set of vectors spans .

The determinant of an augmented matrix for this system will give us the volume of the span. So long as it is nonzero, that value of h will result in a system which spans

7. Find , and such that the equation corresponds to the linear system:

8. Determine if the equation has a solution for every choice of .

The equation will have a solution for every choice of b if it spans it’s entire vector space.
a.

Span < so there is not a solution for every choice of b.

b.

Span = so there is a solution for every choice of b.