Linear Algebra: Determine Span of {(1, 0, 3), (2, 0, -1), (4, 0, 5), (2, 0, 6)}

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SUMMARY

The set of vectors s = {(1, 0, 3), (2, 0, -1), (4, 0, 5), (2, 0, 6)} does not span ℜ3, as demonstrated through the reduced row echelon form (rref) of the augmented matrix, which reveals linear dependence among the vectors. Specifically, the fourth vector is a scalar multiple of the first, confirming that only three vectors need to be checked for linear independence. The geometric description indicates that the set spans a plane in ℜ3, specifically the x-z plane, as derived from the new set W = {(1, 3), (2, -1), (4, 5), (2, 6)}.

PREREQUISITES
  • Understanding of linear independence and dependence in vector spaces.
  • Familiarity with reduced row echelon form (rref) of matrices.
  • Basic knowledge of geometric interpretations of vector spans.
  • Proficiency in using the TI-89 Titanium calculator for matrix operations.
NEXT STEPS
  • Study linear independence and dependence in detail using examples from linear algebra.
  • Learn how to compute the reduced row echelon form (rref) of matrices manually and using calculators.
  • Explore geometric interpretations of vector spaces and their spans in ℜ3.
  • Practice problems involving spans of sets of vectors in different dimensions.
USEFUL FOR

Students studying linear algebra, educators teaching vector spaces, and anyone seeking to understand the geometric implications of vector spans in three-dimensional space.

Jake 7174
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Homework Statement



Determine whether the set spans ℜ3. If the set does not span ℜ3 give a geometric description of the subspace it does span.

s = {(1, 0, 3), (2, 0, -1), (4, 0, 5), (2, 0, 6)}

Homework Equations

The Attempt at a Solution


I am having trouble with the second part of this problem (geometric shape). First off here is what I did to show that S does not span ℜ3.

First I define A, B, C, D as scalars and say;
A + 2B + 4C + 2D = X
0 + 0 + 0 + 0 = Y
3A - B + 5C + 6D = Z

I set up the augmented matrix

| 1 2 4 2 : X |
| 0 0 0 0 : Y |
| 3 -1 5 6 : Z |

rref (using ti89 titanium) ~
| 1 0 2 2 : 0 |
| 0 1 1 0 : 0 |
| 0 0 0 0 : 1 |

I can conclude from this result that S does not span ℜ3.

Now for the geometric shape.

I immediately see that the first and last vectors in the set are scalar multiples which means that they aer parallel.

Next I note that for all vectors y=0. My first thought is that the geometric shape is the plane formed by the x z axis to check I create a new set in ℜ2 on the xz plane

W = {(1, 3), (2, -1), (4, 5), (2, 6)}

Then repeat the above process to see is W spans xz plane

My augmented matrix becomes
| 1 2 4 2 : X |
| 3 -1 5 6 : Z |

rref (using ti89 titanium) ~

| 1 0 2 2 : (X + 2Z) / 7 |
| 0 1 1 0 : (3X - Z) / 7 |

From this I can say that W spans xz in ℜ2.

Is this correct? If not, where am I lacking in my understanding? My big hold up is the only example we have seen is a line. I am not convinced that this is not a line in space.
 
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Jake 7174 said:

Homework Statement



Determine whether the set spans ℜ3. If the set does not span ℜ3 give a geometric description of the subspace it does span.

s = {(1, 0, 3), (2, 0, -1), (4, 0, 5), (2, 0, 6)}

Homework Equations

The Attempt at a Solution


I am having trouble with the second part of this problem (geometric shape). First off here is what I did to show that S does not span ℜ3.

First I define A, B, C, D as scalars and say;
A + 2B + 4C + 2D = X
0 + 0 + 0 + 0 = Y
3A - B + 5C + 6D = Z
This is more work than you need to do. The fourth vector is a multiple of the first, so it suffices to check whether the first three vectors in your set are linearly independent.
Jake 7174 said:
I set up the augmented matrix

| 1 2 4 2 : X |
| 0 0 0 0 : Y |
| 3 -1 5 6 : Z |

rref (using ti89 titanium) ~
| 1 0 2 2 : 0 |
| 0 1 1 0 : 0 |
| 0 0 0 0 : 1 |
How did Z turn into 1?
Jake 7174 said:
I can conclude from this result that S does not span ℜ3.

Now for the geometric shape.

I immediately see that the first and last vectors in the set are scalar multiples which means that they aer parallel.

Next I note that for all vectors y=0. My first thought is that the geometric shape is the plane formed by the x z axis to check I create a new set in ℜ2 on the xz plane
The x-z plane is a subset of ##\mathbb{R}^3##, so the set of four vectors spans a plane in ##\mathbb{R}^3##.
Jake 7174 said:
W = {(1, 3), (2, -1), (4, 5), (2, 6)}

Then repeat the above process to see is W spans xz plane

My augmented matrix becomes
| 1 2 4 2 : X |
| 3 -1 5 6 : Z |

rref (using ti89 titanium) ~

| 1 0 2 2 : (X + 2Z) / 7 |
| 0 1 1 0 : (3X - Z) / 7 |

From this I can say that W spans xz in ℜ2.

Is this correct? If not, where am I lacking in my understanding? My big hold up is the only example we have seen is a line. I am not convinced that this is not a line in space.
Right. The vectors span a plane in space.
 
Mark44 said:
This is more work than you need to do. The fourth vector is a multiple of the first, so it suffices to check whether the first three vectors in your set are linearly independent.
How did Z turn into 1?
The x-z plane is a subset of ##\mathbb{R}^3##, so the set of four vectors spans a plane in ##\mathbb{R}^3##.

Right. The vectors span a plane in space.

Z turns to 1 because of the way a TI89 handles rref of an augmented matrix.

Thank you for your help.
 

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