# Homework Help: Subspace question

1. Jun 3, 2009

### Snowdeity

1. The problem statement, all variables and given/known data

Determine if the sets are a subspace of the real vector space:

Prof is kinda hard to hear and doesn't explain stuff that well, can I get some help with this one?

2. Relevant equations

H = {[a,b,c,d] exist in 4-space| 4a+2b-8c+2d = 3a-5b+6d = b-6c-2d = 0}
H = {[a,b,c] exist in 3-space| c = 5b-4a; (a^2) = bc}

3. The attempt at a solution
Not sure whether linear dependence/indepence pertains to whether the sets are a subspace or not, mainly just tried getting the matrices into R.R.E.F.
1. The problem statement, all variables and given/known data

2. Relevant equations

3. The attempt at a solution

2. Jun 3, 2009

### Staff: Mentor

Linear independence and linear dependence don't enter into this at all. You have two different sets (it would be good to give them different names).

There is a definition that says what it means for a subset of a vector space to be a subspace of the vector space. Do you know this definition?

3. Jun 3, 2009

### Snowdeity

I know the ones about having the zero vector, any scalar multiple of a vector must be included in the space and if two vectors, the sum of the two must be in the space, but other than that nothing.

4. Jun 3, 2009

### Staff: Mentor

That's all you need. For each of your two problems,

Verify that 0 is a vector in the set.
For any arbitray vectors u and v in set H, verify that u + v is also in H.
For any scalar c and any arbitray vector u, verify that cu is also in H.

You will need to use the definitions of the sets in your problems. For example, in your second problem, you can write a vector u as (x, y, z), and the coordinates have to satisfy z = 5y - 4x and x2 = yz. Similar conditions would apply in your first problem.

5. Jun 4, 2009

### Snowdeity

Alright, heh. Simple enough. One more thing...there's one question that gives a matrix A with vectors v1 = [1,2,-3,1,-1] v2 = [-1,-1,4,0,2] and v3 = [1,3,-2,2,0]. It asks to give a matrix B such that the column space of A is the same as the null space of B. So what I was getting out of this is that you need to determine the column space of A for some vector v = [a,b,c,d,e] in order to determine what to match up with the null space of B, but I'm kind of getting lost in the midst of the differences between the two.