Finding a Spanning Set for a Subspace of C^5 | Homework Solution

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In summary: I wasn't sure how to go about finding that.In summary, Homework Equations state that there are two equations that need to be satisfied for a vector to be in the space. A set that spans the space needs to be found by solving for the equation that each vector needs to satisfy. The method used was to substitute the two equations into one and finding the solution that satisfied all the equations.
  • #1
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Homework Statement



Let W be a subspace of V = [tex]C^5[/tex] consisting of all vectors [tex]
x = (x_1,x_2,x_3,x_4,x_5) \epsilon C^5[/tex] that satisfy:

[tex]
-2ix_1 + x_2 - x_3 + (1 - i)x_4 = 0
[/tex]
[tex]
x_1 + ix_2 -2x_5 = 0
[/tex]Find a set that spans W.

Homework Equations


The Attempt at a Solution



From the second equation we know that [tex] x_1 = 2x_5 - ix_2[/tex]. Substituting that into the first, we have [tex]-2i(2x_5 -ix_2) + x_2 - x_3 + (1-i)x_4 = 0[/tex]. Expanding through the brackets and simplifying, we have [tex]-4ix_5 - x_2 - x_3 + (1-i)x_4 = 0[/tex]. This implies that [tex]x_2 = -x_3 +(1-i)x_4 -4ix_5[/tex]. So that is the only condition we have. So, we now have the following:

[tex](1, 0, 0, 0, 0)x_1 + (0, -1, 1, 0, 0)x_3 + (0, 1-i, 0, 1, 0)x_4 + (0, -4i, 0, 0, 1)x_5[/tex]So the set [tex]{ (1, 0, 0, 0, 0), (0, -1, 1, 0, 0), (0, 1-i, 0, 1, 0), (0, -4i, 0, 0, 1)[/tex] should span the space. However, if you multiply the first vector by 1, and the rest by 0, we have [tex](1,0,0,0,0)[/tex], which obviously doesn't satisfy the two equations above.

What am I doing wrong?
 
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  • #2
badly worded W is a set that spans W
assume a minimal spaning set is desired
start by assuming wlog that the form of the vectors is
(1,0,0,*,*)
(0,1,0,*,*)
(0,0,1,*,*)
where the * are chosen to satisfy the equations.
 
  • #3
I was wondering if you could show me where I went wrong with the method I was using?
 
  • #4
JG89 said:
I was wondering if you could show me where I went wrong with the method I was using?

Many things. For a start you have combined the two conditions into one. This is wrong. Sometimes conditions are superfluous and can be discarded, not in this case. It is true that if a vector satisfies both of the given equations it will satisfy your, it is untrue that a vector that satisfies your condition satifies either of those given.
I sugest you abandon this method
For example as you yourself point out the vector
(1,0,0,0,0) satisfies your condition, but not those given.
Your are free to use your condition, but if you do you need to also a condition such as
x1=-i*x3+(i-1)x4-2x5
which none of your proposed vectors satisfy.
another example say you desired to solve
x+y=3
x-y=1
it is true that the solution satisfies
x=2
but (2,11) is not a solution
in both examples you have introduced an extraneous or spurious solution.
Extraneous or spurious solutions are solution introduced by manimulation of the given conditions, they are not solutions of the original equation.
 
  • #5
lurflurf, I know that you recommend me to approach the problem differently, but I'm quite adamant on solving it this way (I've solved similar questions this way before so it is really bugging me that I cannot solve this one). Please don't feel as if I'm ignoring you.

With that said, why is combining the two equations into one equation wrong? All I did was a simple substitution.
 
  • #6
Nevermind..
 
  • #7
JG89 said:
With that said, why is combining the two equations into one equation wrong? All I did was a simple substitution.
They are not really combined. You can exchange the two given equations for another two if you like. Sometimes that is very helpful, though in this case not so much. The wrong part is your one equation does not contain all the information of the original two. You can use your equation with another if you like, but it is wrong to use it alone.

as I said before you could use
x1=-i*x3+(i-1)*x4-2*x5
x2=-x3+(1-i)*x4-4i*x5
with these equation your could work out the * in
(*,*,1,0,0)
(*,*,0,1,0)
(*,*,0,0,1)
 
  • #8
"x1=-i*x3+(i-1)*x4-2*x5"

How did you get that?

I'm more concerned with the method of solving this problem.
 
  • #9
JG89 said:
"x1=-i*x3+(i-1)*x4-2*x5"

How did you get that?

I'm more concerned with the method of solving this problem.

oops that should be
x1=i*x3+(i-1)*x4-2*x5

we have
-2i*x1+x2-x3+(1-i)*x4=0
x1+i*x2-2*x5=0

multiply the first by i and the second by -1 to give
2*x1+i*x2-i*x3+(-1+i)*x4=0
-x1-i*x2+2*x5=0

add the two equations to give
x1-i*x3+(-1+i)*x4+2*x5=0


solve for x1 to give
x1=i*x3+(1-i)*x4-2*x5

method got it
Step 1:
We want a number of vector (which we will later see is 3) that satisfy the conditons and such that every solution to the equations is contained in their span.
Step 2:
chose a basis for the space
step 3:
take nice vector(s) and adjust it to satisfy the equations
step 4:
use adjusted nice vector(s) to span subspace
 
  • #10
[tex] {(i,-1,1,0,0), (1-i, 1-i, 0,1,0), (-2, -4i, 0, 0,1)}[/tex] shall be our spanning set. :)

Thanks a lot lurflurf! Did you know that we had to represent [tex]x_1[/tex] in terms of [tex]x_3, x_4, x_5[/tex] because I was "loosing" information about it by trying to describe a two equation system of 5 variables in just one equation? Also, how did you know that a minimal set would be three vectors?
 
  • #11
I see now. [tex]x_1[/tex] wasn't being described at all! Thus, you had to describe [tex]x_1[/tex] in terms of the same vectors that [tex]x_2[/tex] was described in, which was the other three vectors, which was how you knew a minimal set would consist of three vectors.

Thanks!
 
  • #12
Yes you were losing information. An equation tends to reduce the dimension by 1. In this problem we started with dimension 5 and had 2 equations so we had 5-2=3 dimensions in the end. It is also poeesible that equations are redundent and add no information. Also equations can be inconsistent and have no solution.
x+y=3
x-y=1
is consistent with 1 solution (x,y)=(2,1)
2x+2y=4
3x+3y=6
is consistent
the equations are redundent
x+y=1
x+y=2
is inconsistent
there are no solutions
 

1. What is a spanning set?

A spanning set is a set of vectors that can be used to represent or generate all other vectors within a given vector space.

2. Why is finding a spanning set important?

Finding a spanning set is important because it allows us to understand the full extent of a vector space and its possible combinations. It also helps us to determine whether a set of vectors is linearly independent.

3. How do you find a spanning set?

A spanning set can be found by taking the original set of vectors and performing operations such as addition, subtraction, and scalar multiplication to create new vectors. These new vectors can then be combined to form a set that spans the original vector space.

4. Can a vector space have more than one spanning set?

Yes, a vector space can have multiple spanning sets. In fact, any set containing all the vectors in a given vector space can be considered a spanning set.

5. What is the difference between a spanning set and a basis?

A spanning set is a set of vectors that can generate all other vectors in a vector space, while a basis is a spanning set that is also linearly independent. In other words, a basis is the smallest possible spanning set for a given vector space.

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