Subspace Question: Determine if H is a Subspace in Vector Space

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In summary: Yeah, the null space of a matrix is the set of all vectors that don't satisfy the matrix equation in that particular column. So in this case, the null space of B would be composed of all vectors that don't satisfy the equation (a,b,c,d,e) = 0.
  • #1
Snowdeity
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Homework Statement



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?


Homework 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}


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.
 
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  • #2
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
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
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
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.
 

1. What is a subspace in a vector space?

A subspace in a vector space is a subset of the vector space that follows the same rules and operations as the vector space itself. This means that a subspace must be closed under addition and scalar multiplication and must contain the zero vector.

2. How do you determine if a set is a subspace in a vector space?

To determine if a set is a subspace in a vector space, you must check if it satisfies the three conditions: closure under addition, closure under scalar multiplication, and contains the zero vector. If the set satisfies all three conditions, then it is considered a subspace.

3. What is the difference between a subspace and a vector space?

A vector space is a set of vectors that follow specific rules and operations, while a subspace is a subset of a vector space that follows the same rules and operations. A subspace is also a vector space itself, but with a smaller dimension.

4. Can a set be both a subspace and a vector space?

Yes, a set can be both a subspace and a vector space. This is because a subspace satisfies all the rules and operations of a vector space, making it a vector space itself.

5. Are all subspaces in a vector space of the same dimension?

No, subspaces in a vector space can have different dimensions. This is because a subspace can have a smaller dimension than the vector space it is a subset of. However, the maximum dimension of a subspace is equal to the dimension of the vector space.

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