Find a Basis B for the subspace

Yes, there are different ways to represent a basis for this subspace since there are infinitely many vectors that satisfy the equation. But as long as the basis spans the subspace and is linearly independent, it is acceptable.
  • #1
mpittma1
55
0

Homework Statement


Let V be the subspace of R3 defined by V={(x,y,z)l2x-3y+6z=0}
Find a basis B for the subspace.

Homework Equations





The Attempt at a Solution



First I broke apart the equation such that:

[[x,y,z]] = [[3/2s-3t, s, t]] = s [[3/2, 1 ,0]] +t[[-3, 0, 1]]



So, a basis for V =

[[3/2, 1, 0]
-3, 0, 1]]
Does this sound correct?
 
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  • #2
mpittma1 said:

Homework Statement


Let V be the subspace of R3 defined by V={(x,y,z)l2x-3y+6z=0}
Find a basis B for the subspace.

Homework Equations





The Attempt at a Solution



First I broke apart the equation such that:

[[x,y,z]] = [[3/2s-3t, s, t]] = s [[3/2, 1 ,0]] +t[[-3, 0, 1]]



So, a basis for V =

[[3/2, 1, 0]
-3, 0, 1]]
Does this sound correct?

Sounds correct.
 
  • #3
so it would be acceptable to have a two dimensional basis for a subspace of R3?

Its because its a plane in R3?
 
  • #4
mpittma1 said:
so it would be acceptable to have a two dimensional basis for a subspace of R3?

Its because its a plane in R3?

Exactly. It's a two dimensional subspace, so you should get two basis vectors.
 
  • #5
Dick said:
Exactly. It's a two dimensional subspace, so you should get two basis vectors.

Awesome, thank you for the conformation.
 
  • #6
mpittma1 said:

Homework Statement


Let V be the subspace of R3 defined by V={(x,y,z)l2x-3y+6z=0}
Find a basis B for the subspace.

Homework Equations





The Attempt at a Solution



First I broke apart the equation such that:

[[x,y,z]] = [[3/2s-3t, s, t]] = s [[3/2, 1 ,0]] +t[[-3, 0, 1]]
But you don't say where these, and in particular, "s" and "t", came from.
I would have been inclined to say that 2x- 3y+ 6z= 0 is the same as x= (3/2)y- 3z so that
(x, y, z)= ((3/2)y- 3z, y, z)= ((3/2)y, y, 0)+ (-3z, 0, z)= y(3/2, 1, 0)+ z(-3, 1, 0)

Since every vector can be written as a linear combination of (3/2, 1, 0) and (-3, 1, 0), yes, they form a basis.


So, a basis for V =

[[3/2, 1, 0]
-3, 0, 1]]
Does this sound correct?
Personally, I would have solved 2x- 3y+ 6z= 0 for z giving z= (-1/3)x+ (1/2)y so that
(x, y, z)= (x, y,(-1/3)x+ (1/2)y)= x(1, 0, -1/3)+ y(0, 1, 1/2).

Of course, there are an infinite number of bases for this space.
 
  • #7
HallsofIvy said:
But you don't say where these, and in particular, "s" and "t", came from.
I would have been inclined to say that 2x- 3y+ 6z= 0 is the same as x= (3/2)y- 3z so that
(x, y, z)= ((3/2)y- 3z, y, z)= ((3/2)y, y, 0)+ (-3z, 0, z)= y(3/2, 1, 0)+ z(-3, 1, 0)

Since every vector can be written as a linear combination of (3/2, 1, 0) and (-3, 1, 0), yes, they form a basis.



Personally, I would have solved 2x- 3y+ 6z= 0 for z giving z= (-1/3)x+ (1/2)y so that
(x, y, z)= (x, y,(-1/3)x+ (1/2)y)= x(1, 0, -1/3)+ y(0, 1, 1/2).

Of course, there are an infinite number of bases for this space.



I see what you are talking about.
 
  • #8
mpittma1 said:
Awesome, thank you for the conformation.

Yeah, Dick is good at all the angles :smile:
 

FAQ: Find a Basis B for the subspace

What is a basis for a subspace?

A basis for a subspace is a set of linearly independent vectors that span the entire subspace. This means that any vector in the subspace can be written as a linear combination of the basis vectors.

How do you find a basis for a subspace?

To find a basis for a subspace, you can use the process of Gaussian elimination to reduce the vectors spanning the subspace into row-echelon form. The non-zero rows in the reduced matrix will form the basis for the subspace.

Can there be more than one basis for a subspace?

Yes, there can be infinitely many bases for a subspace. As long as the set of vectors is linearly independent and spans the subspace, it can be considered a basis.

What is the dimension of a subspace?

The dimension of a subspace is equal to the number of vectors in its basis. This is because the number of linearly independent vectors needed to span the subspace is also the number of basis vectors.

How can finding a basis for a subspace be useful?

Finding a basis for a subspace can be useful in solving systems of linear equations, determining the rank and nullity of a matrix, and finding the coordinates of a vector in a certain basis. It also helps in understanding the structure and properties of the subspace.

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