What is the solution to finding the subspace of R^5?

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In summary, In part iv of the question, you need to find the subspace of R^5 determined by the three equations. To do this, you set up a 3 x 5 matrix with the coefficients of the three equations (where each equation has all its terms on one side and zero on the other). Then you use row operations to reduce the matrix to row-echelon form, and use the Gram-Schmidt process to find another vector in a basis.
  • #1
maria69
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Please help?

I have done all the parts of question 1 but i really can't solve (iv) part. i know that the answer should be [-8;8;-1;0;1].
if someone can pleaseeeeeeeeeeeee help me?
thank you very much Maria!
http://img3.imageshack.us/img3/5706/72162896rd8.jpg
 
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  • #2


For part iv, you want to find the subspace of R^5 determined by the three equations. Set up a 3 x 5 matrix with the coefficients of the three equations (where each equation has all its terms on one side and zero on the other).
[1 1 1 1 1]
[1 2 3 -4 -5]
[0 0 1 1 1]

Use row operations to reduce this matrix to row-echelon form (the first nonzero entry in a row has zeroes in the rows above and below it). After the matrix is row-reduced you can almost read off the vectors in a basis for the subspace.

For example, if you ended up with this matrix (I'm just making up numbers here as an example)
[1 0 0 0 1]
[0 1 0 0 -1]
[0 0 0 1 1]
this represents the system of equations
x1 = - x5
x2 = + x5
x3 = x3
x4 = -x5
x5 = x5
Any solution x = (x1, x2, x3, x4, x5) can be written as x3 * (0, 0, 1, 0, 0) + x5 * (-1, 1, 0, -1, 1), so a basis for this subspace is these two vectors.

To verify that the vector they give belongs to S2, just show that its coordinates satisfy all three equations.

To find another vector in a basis, use the Gram-Schmidt process.
 
  • #3


can you please show me how to do it because i really can't understand what to do? i am really confused and it is really important to have the solution today. i am trying so hard to solve it but i don't think that i know how to.
thanks very much!
maria
 
  • #4


OK, let's take it a step at a time. Do you know how to row-reduce this matrix?
[1 1 1 1 1]
[1 2 3 -4 -5]
[0 0 1 1 1]

The first step is to use row 1 to eliminate the leading 1 in the 2nd row.
 
  • #5


i don't really remember actually
 
  • #6


if i can just see the whole solution i am really sure that i can understand for the iv part
 
  • #7


maria69 said:
i don't really remember actually
Then you better get started jogging your memory if you want to do this problem today...
 

FAQ: What is the solution to finding the subspace of R^5?

What is a subspace in R^5?

A subspace in R^5 is a subset of the vector space R^5 that satisfies the three properties of a vector space: closure under addition, closure under scalar multiplication, and containing the zero vector.

How do you find a subspace in R^5?

To find a subspace in R^5, you need to determine if the subset satisfies the three properties of a vector space. If it does, then it is a subspace. You can also find a subspace by taking the span of a set of vectors in R^5.

What is the dimension of a subspace in R^5?

The dimension of a subspace in R^5 is the number of linearly independent vectors that span the subspace. It can range from 0 to 5, as R^5 has five dimensions.

Can a subspace in R^5 contain more than 5 vectors?

No, a subspace in R^5 can only contain 5 or less vectors because the dimension of R^5 is 5. If a subspace contains more than 5 vectors, it would not be a proper subset of R^5.

Is the zero vector always included in a subspace in R^5?

Yes, the zero vector is always included in a subspace in R^5. This is because the zero vector is a requirement for a subset to be considered a vector space, and a subspace is a subset that satisfies the properties of a vector space.

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