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.