Solution set: S = {(8 + 7z, 6 + 5z, z, 1) : z ∈ ℝ}

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Homework Help Overview

The discussion revolves around plotting the solution set of a system of linear equations and determining whether this set constitutes a vector space. The equations involved are x - y + 2z - t = 1, 2x - 3y - z + t = -1, and x + 7z = 8. Participants are exploring the implications of the solution set, which is expressed as S = {(8 - 7z, 6 - 5z, z, 1) : z ∈ ℝ}.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants present augmented matrices and discuss the implications of row reduction on the system's consistency. There are attempts to reconcile algebraic and geometric interpretations of the solution set. Questions arise regarding the nature of the solution set, including whether it contains the zero vector and if it can be classified as a vector space.

Discussion Status

The discussion is active, with participants questioning the validity of both algebraic and geometric interpretations. Some suggest that the solution set represents an affine subspace rather than a vector space. There is an ongoing exploration of the parametrization of the line represented by the solution set, with various participants contributing insights and corrections.

Contextual Notes

Participants note that the system appears inconsistent, leading to confusion about the nature of the solution set. There is a specific focus on the implications of the solution set not containing the zero vector, which is a requirement for a vector space. The discussion also touches on the need for complete row reduction to accurately represent the solution.

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Homework Statement


Plot the solution set of linear equations
x-y+2z-t=1
2x-3y-z+t=-1
x+7z=8

and check if the set is a vector space.

2. The attempt at a solution

Augmented matrix of the system:
<br /> \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 2 &amp; -3 &amp; -1 &amp; 1 &amp; -1 \\<br /> 1 &amp; 0 &amp; 7 &amp; 0 &amp; 8 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; -1 &amp; -5 &amp; 3 &amp; -3 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> 0 &amp; -1 &amp; 3 &amp; 0 &amp; -3 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> 0 &amp; 0 &amp; 0 &amp; 4 &amp; 4 \\<br /> \end{bmatrix}<br />
\Rightarrow t=1

x-y+2z=2
y+5z=6

x,y are pivot variables \Rightarrow x=8-7z,y=6-5z.
The solution set can be described as S=\{(8-7z,6-5z,z,1):z\in\mathbb R\}.

Algebraically, this means that the system is inconsistent (infinitely many solutions).
This should represent a line in xyz plane, but it seems that it contradicts with algebraic solution.

First equation is a plane with coordinates (6,-\frac{3}{2},3).
Second equation is a plane with coordinates (-1,\frac{2}{3},2).
Third equation is a line in xz plane with coordinates (8,\frac{8}{7}).

When drawn altogether, there is no intersection between all three planes, and also no line as an intersection.

Is there a mistake in algebraic, or geometric solution?

Assuming that algebraic solution is correct, solution set is a vector space because it is an infinite line (closed under vector addition and scalar multiplication). Is this correct?
 
Last edited:
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gruba said:

Homework Statement


Plot the solution set of linear equations
x-y+2z-t=1
2x-3y-z+t=-1
x+7z=8

and check if the set is a vector space.

2. The attempt at a solution

Augmented matrix of the system:
<br /> \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 2 &amp; -3 &amp; -1 &amp; 1 &amp; -1 \\<br /> 1 &amp; 0 &amp; 7 &amp; 0 &amp; 8 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; -1 &amp; -5 &amp; 3 &amp; -3 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> 0 &amp; -1 &amp; 3 &amp; 0 &amp; -3 \\<br /> \end{bmatrix}\sim \begin{bmatrix}<br /> 1 &amp; -1 &amp; 2 &amp; -1 &amp; 1 \\<br /> 0 &amp; 1 &amp; 5 &amp; 1 &amp; 7 \\<br /> 0 &amp; 0 &amp; 0 &amp; 4 &amp; 4 \\<br /> \end{bmatrix}<br />
\Rightarrow t=1

x-y+2z=2
y+5z=6

x,y are pivot variables \Rightarrow x=8-7z,y=6-5z.
The solution set can be described as S=\{(8-7z,6-5z,z,1):z\in\mathbb R\}.

Algebraically, this means that the system is inconsistent (infinitely many solutions).
This should represent a line in xyz plane, but it seems that it contradicts with algebraic solution.

First equation is a plane with coordinates (6,-\frac{3}{2},3).
Second equation is a plane with coordinates (-1,\frac{2}{3},2).
Third equation is a line in $xz$ plane with coordinates (8,\frac{8}{7}).

When drawn altogether, there is no intersection between all three planes, and also no line as an intersection.

Is there a mistake in algebraic, or geometric solution?

Assuming that algebraic solution is correct, solution set is a vector space because it is an infinite line (closed under vector addition and scalar multiplication). Is this correct?

A vector space must contain the zero vector. Does your solution set have that property?
 
Ray Vickson said:
A vector space must contain the zero vector. Does your solution set have that property?

So, the algebraic solution is not a vector space.

But why algebraic and geometric solution is not the same?
Algebraic solution set gives infinite solutions, and geometric solution doesn't give
neither point nor line as an intersection.
 
Assuming your solution is correct, ##S## is a line of ##\mathbb{R}^4## passing through ##(8,6,0,1)## and directed by vector ##(-7,-5,1,0)##. It is not a vector space but an affine subspace ##\mathbb{R}^4##
 
gruba said:
Algebraically, this means that the system is inconsistent (infinitely many solutions).
This should represent a line in xyz plane, but it seems that it contradicts with algebraic solution.
An inconsistent system has no solutions, and there is no such thing as an "xyz" plane.
gruba said:
So, the algebraic solution is not a vector space.

But why algebraic and geometric solution is not the same?
I think you have some mistakes in your work. In the 3rd matrix you show, how did you get the 2nd and 3rd rows?
gruba said:
Algebraic solution set gives infinite solutions, and geometric solution doesn't give
neither point nor line as an intersection.
Geometrically, the solution set I get is a line in ##\mathbb{R}^4## that passes through the point (8, 6, 0, 1).

Edit: Corrected an earlier mistake I made.
 
Last edited:
geoffrey159 said:
Assuming your solution is correct, ##S## is a line of ##\mathbb{R}^4## passing through ##(8,6,0,1)## and directed by vector ##(-7,-5,1,0)##. It is not a vector space but an affine subspace ##\mathbb{R}^4##

How do you get the point (8,6,0,1) and vector (-7,-5,1,0)?
 
Your solution set ##S## (I see it was confirmed correct by Mark44) is a parametrization of line, i.e it can be written ## A + z \vec v ## where ##A = (8,6,0,1)## and ##\vec v = (-7,-5,1,0)##
 
geoffrey159 said:
Your solution set ##S## (I see it was confirmed correct by Mark44) is a parametrization of line, i.e it can be written ## A + z \vec v ## where ##A = (8,6,0,1)## and ##\vec v = (-7,-5,1,0)##

Could you explain how to do the parametrization of a line?
 
I don't want go off topic so I'll just explain why your solution set is a line.
A line passing through point ##A## and directed by a vector ##\vec v## is the set of points ##M## such that vector ##\vec {AM}## and ##\vec v## are colinear.
Your solution set can be written ##S = \{ A + z \vec v, \ z\in \mathbb{R} \} ##, therefore ##M\in S \iff \exists z\in\mathbb{R},\ \vec{AM} = z\vec v##. It's a line. That's all there is to it.
 
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  • #10
gruba said:
Could you explain how to do the parametrization of a line?
I have copied the work you showed earlier. To find the parametric form of the line, the last matrix needs to be completely row-reduced, which means that each nonzero row starts with a 1 entry, and each leading 1 entry (a pivot) has 0 entries above and below it.
gruba said:
Augmented matrix of the system:
##
\begin{bmatrix}
1 & -1 & 2 & -1 & 1 \\
2 & -3 & -1 & 1 & -1 \\
1 & 0 & 7 & 0 & 8 \\
\end{bmatrix}\sim \begin{bmatrix}
1 & -1 & 2 & -1 & 1 \\
0 & -1 & -5 & 3 & -3 \\
0 & 1 & 5 & 1 & 7 \\
\end{bmatrix}\sim \begin{bmatrix}
1 & -1 & 2 & -1 & 1 \\
0 & 1 & 5 & 1 & 7 \\
0 & -1 & 3 & 0 & -3 \\
\end{bmatrix}\sim \begin{bmatrix}
1 & -1 & 2 & -1 & 1 \\
0 & 1 & 5 & 1 & 7 \\
0 & 0 & 0 & 4 & 4 \\
\end{bmatrix}
##
When the last matrix is completely reduced (in RREF or reduced row-echelon form), you can read off the solution, as
x = ...
y = ...
z = ...
t = ...
For this matrix that will turn out to be z times a vector plus a constant vector, where in this case, z is the parameter.
 
  • #11
Mark44 said:
To find the parametric form of the line, the last matrix needs to be completely row-reduced, which means that each nonzero row starts with a 1 entry, and each leading 1 entry (a pivot) has 0 entries above and below it.

And how to represent the line in explicit form, y=kx+n?
 
  • #12
gruba said:
And how to represent the line in explicit form, y=kx+n?
The line in question is a line in ##\mathbb{R}^4##, so you wouldn't write it as y = mx + b. Instead, you would write it something like ##\vec{r} = k\vec{A} + \vec{B}##. Here ##\vec{r}## means ##\begin{bmatrix} x \\ y \\ z \\ t \end{bmatrix}##. ##\vec{A}## and ##\vec{B}## are constant vectors that come directly out of the completely reduced final matrix.
 
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  • #13
Mark44 said:
The line in question is a line in ##\mathbb{R}^4##, so you wouldn't write it as y = mx + b. Instead, you would write it something like ##\vec{r} = k\vec{A} + \vec{B}##. Here ##\vec{r}## means ##\begin{bmatrix} x \\ y \\ z \\ t \end{bmatrix}##. ##\vec{A}## and ##\vec{B}## are constant vectors that come directly out of the completely reduced final matrix.

Which vector is \overrightarrow{A} and which vector is \overrightarrow{B} from RREF?
Also, is k undetermined?
 
Last edited:
  • #14
One more step takes your final matrix to RREF (reduced row-echelon form)
##\begin{bmatrix}
1 & -1 & 2 & -1 &| & 1 \\
0 & 1 & 5 & 1 & | & 7 \\
0 & 0 & 0 & 4 & | & 4 \\
\end{bmatrix} \equiv
\begin{bmatrix}
1 & 0 & 7 & 0 & | & 8 \\
0 & 1 & 5 & 0 & | & 6 \\
0 & 0 & 0 & 1 & | & 1 \\
\end{bmatrix}##
Now, write the system of equations that this matrix represents.
x = ...
y = ...
z = ...
t = ...
If you line things up you should see a column vector times a parameter z, plus another vector.
 

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