Vector Subspace: Show S is a Subspace, Determine Basis & Find Dimension

In summary, the conversation discusses finding a subspace S of vectors parallel to a given hyperplane in R^4. The steps to be taken include showing that S is a subspace, determining a basis for S, and finding its dimension. The solution involves finding a normal to the hyperplane and understanding the concept of parallel vectors.
  • #1
quanta13
4
0

Homework Statement


Can you help please? I have this problem:
Let S be the set of all vectors parallel to the hyper-plane 4x +2y+z + 3r =0 in R^4 .
(a) Show that S is a subspace, (b) Determine a basis for S , (c) Find its dimension

Homework Equations

The Attempt at a Solution


S= { u=(x, y,z,r) | 4x+2y+z+3r=0} u is in R^4.
 
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  • #2
quanta13 said:

Homework Statement


Can you help please? I have this problem:
Let S be the set of all vectors parallel to the hyper-plane 4x +2y+z + 3r =0 in R^4 .
(a) Show that S is a subspace, (b) Determine a basis for S , (c) Find its dimension

Homework Equations

The Attempt at a Solution


S= { u=(x, y,z,r) | 4x+2y+z+3r=0} u is in R^4.
That won't work. If the vectors in S are parallel to the hyperplane, then all of these vectors are perpendicular to a normal to the hyperplane. If you're given the equation of a hyperplane, do you know how to find a normal to this hyperplane?
 
  • #3
If u is a vector and S is a hyperplane, what does it mean to say that u is parallel to S? You will need a definition of "parallel" to answer that.
 

1. What is a vector subspace?

A vector subspace is a subset of a vector space that is closed under vector addition and scalar multiplication. This means that if you take any two vectors in the subspace, their sum and any scalar multiple of the vectors will also be in the subspace.

2. How do you show that a set is a subspace?

To show that a set is a subspace, you must prove that it satisfies the two conditions of closure under vector addition and scalar multiplication. This can be done by showing that the set contains the zero vector, and that it is closed under vector addition and scalar multiplication.

3. How do you determine the basis of a vector subspace?

The basis of a vector subspace is a set of linearly independent vectors that span the entire subspace. To determine the basis, you can use the process of Gaussian elimination to reduce the vectors to their simplest form, and then choose the vectors that make up the basis.

4. How do you find the dimension of a vector subspace?

The dimension of a vector subspace is equal to the number of vectors in its basis. So, to find the dimension, you can simply count the number of vectors in the basis set.

5. Can a vector subspace have more than one basis?

Yes, a vector subspace can have more than one basis. This is because there can be multiple sets of linearly independent vectors that span the same subspace. However, all of these bases will have the same number of vectors, which is equal to the dimension of the subspace.

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