Vector S, dimension of subspace Span(S)?

In summary, a vector S is an ordered list of numbers that represents a direction and magnitude in space, and its dimension is the number of elements in the vector. A subspace is a subset of a vector space that follows the same rules and operations, and its dimension is determined by the number of linearly independent vectors that span the subspace. This is known as the dimension of the subspace's basis. The dimension of a subspace is also equal to the number of vectors in the basis that span the subspace, which is known as the span of a set of vectors.
  • #1
concon
65
0

Homework Statement



Consider the set of vectors S= {a1,a2,a3,a4}
where
a1= (6,4,1,-1,2)
a2 = (1,0,2,3,-4)
a3= (1,4,-9,-16,22)
a4= (7,1,0,-1,3)

Find the dimension of the subspace Span(S)?

Find a set of vectors in S that forms basis of Span(S)?

Homework Equations


dimension of V = n in Rn?

The Attempt at a Solution



- Part one: Dimension

If equation is true and Span(S) is in fact basis of V then is the dimension 4? Is it that easy?

- Part two: Basis
Is this asking for the k1,k2,k3,k4 that make Span(S) = V?
 
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  • #2
concon said:

Homework Statement



Consider the set of vectors S= {a1,a2,a3,a4}
where
a1= (6,4,1,-1,2)
a2 = (1,0,2,3,-4)
a3= (1,4,-9,-16,22)
a4= (7,1,0,-1,3)

Find the dimension of the subspace Span(S)?

Find a set of vectors in S that forms basis of Span(S)?

Homework Equations


dimension of V = n in Rn?




The Attempt at a Solution



- Part one: Dimension

If equation is true and Span(S) is in fact basis of V then is the dimension 4? Is it that easy?
What equation?

Span(S) is a subspace, not a basis. To say that Span(S) is a basis of V doesn't make any sense.

- Part two: Basis
Is this asking for the k1,k2,k3,k4 that make Span(S) = V?
What are the k's supposed to be?

It seems you're not clear about basic definitions of terms like span and basis. You should get those down first before you attempt to do this problem.
 
  • #3
vela said:
What equation?

Span(S) is a subspace, not a basis. To say that Span(S) is a basis of V doesn't make any sense.


What are the k's supposed to be?

It seems you're not clear about basic definitions of terms like span and basis. You should get those down first before you attempt to do this problem.
Sorry my reply was confusing I mixed up a few terms here and there.
So what I have determined thus far:
1. the dimension is 3
I used row eliminations in a matrix with [ a1 a2 a3 a4] and got two rows of zeroes out of the total five rows. Thus 5-2 = 3 and the dimension is 3.

2. what I need to figure out now is which of the vectors is a basis for the Span(S). How do I do this?

the options are:
{a2,a3}
{a1,a2,a3}
{a1,a2}
{a1,a2,a3,a4}
{a1,a2,a4}
 
  • #4
Since you have already determined that the dimension is three, those sets of two or four vectors are immediately eliminated. To determine whether {a1, a2, a3} or {a1, a2, a4} is a basis, do the same thing you did with the entire set. See if they are linearly independent.
 

FAQ: Vector S, dimension of subspace Span(S)?

1. What is a vector S?

A vector S is an ordered list of numbers that represents a direction and magnitude in space. It can be written as (S1, S2, ..., Sn), where n is the dimension of the vector.

2. What is the dimension of a vector S?

The dimension of a vector S is the number of elements in the vector. For example, if S = (3, 5, -2), then the dimension of S is 3.

3. What is a subspace?

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

4. How is the dimension of a subspace determined?

The dimension of a subspace is determined by the number of linearly independent vectors that span the subspace. This is known as the dimension of the subspace's basis.

5. How is the dimension of a subspace related to the span of a set of vectors?

The dimension of a subspace is equal to the number of vectors in the basis that span the subspace. The span of a set of vectors is the subspace created by all possible linear combinations of those vectors.

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