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Geometric Interpretation of Solutions to SLEs

Linear systems are made up of equations of hyperplanes (e.g. lines in R2\reals^2; planes in R3\reals^3).
A solution is the intersection of all the hyperplanes.

R2\colorOne{\reals^2}: Intersection of Lines

  • No intersection
  • Unique point of intersection (2 lines cross)
  • Infinitely many points of intersection
  • Line \rightarrow 1-parameter family of solutions (same line)
Example
{x+y=2y=1    [112011]    x=[11]POI\begin{cases} -x&+&y&=&2\\ &&y&=&1 \end{cases} \quad \implies \quad \left[ \begin{array}{rr|r} -1 & 1 & 2\\ 0 & 1 & 1\\ \end{array} \right] \quad \implies \quad \overset{\normalsize POI}{ \boxed{ \vec x = \left[ \begin{array}{r} -1\\ 1 \end{array} \right] }}



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R3\colorOne{\reals^3}: Intersection of Planes

  • No intersection
  • Unique point of intersection (requires 3 planes)
  • Infinitely many points of intersection
  • Line \rightarrow 1-parameter family of solutions (2 planes intersect)
  • Plane \rightarrow 2-parameter family of solutions (2 of the same plane)
Example
{x+y=2y=1    [11020101]    x=[110]+t[001]line of intersection\begin{cases} -x&+&y&=&2\\ &&y&=&1 \end{cases} \quad \implies \quad \left[ \begin{array}{rrr|r} -1 & 1 & 0 & 2\\ 0 & 1 & 0 & 1\\ \end{array} \right] \quad \implies \quad \overset{\text{\normalsize line of intersection}}{ \boxed{ \vec x = \left[ \begin{array}{r} -1\\ 1\\ 0 \end{array} \right] +t \left[ \begin{array}{r} 0\\ 0\\ 1 \end{array} \right] }}


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Example: Geometric Interpretation of a Linear System

Solve the system of linear equations and interpret the solution geometrically:
2x+2y=6xy=3\begin{array}{rl} 2x+2y&=6\\ -x-y&=-3\\ \end{array}
Steps
  1. Let's first write this in augmented matrix form:
2x+2y=6xy=3[226113]\begin{array}{rcr} 2x+2y&=&6\\[0.2em] -x-y&=&-3\\[0.2em] \end{array} \quad \rightarrow \quad \left[\begin{array}{rr|r} 2&2&6\\ -1&-1&-3\\ \end{array}\right]
  1. Turn the matrix into RREF using EROs:
[226113]12R1[113113]R2+R1[113000]\begin{aligned} &\left[\begin{array}{rr|r} 2&2&6\\ -1&-1&-3\\ \end{array}\right] \begin{array}{l} \dfrac{1}{2}R_1\\ \\ \\ \end{array}\\[2.5em] \longrightarrow &\left[\begin{array}{rr|r} 1&1&3\\ -1&-1&-3\\ \end{array}\right] \begin{array}{l} \\ R_2 + R_1\\ \end{array}\\[2.5em] \longrightarrow &\left[\begin{array}{rr|r} 1&1&3\\ 0&0&0\\ \end{array}\right] \end{aligned}
  1. Find all solutions to the SLE:
The coefficient matrix has just one leading 1, but 2 columns/variables: rank(A)=1  <   n=2{\rm rank}(A)=1 \ \ \bm< \ \ \ n=2
Thus, there is 21=12-1 = 1 free variable (yy). Let y=ty=t.
Rewrite the augmented matrix back into a system of linear equations:
{x+t=3y=t    {x=3ty=t\begin{cases} x+t=3\\ y=t \end{cases} \quad\implies\quad \begin{cases} x=3-t\\ y=t \end{cases}
Therefore, the solution is x=[30]+t[11]\vec x = \begin{bmatrix} 3\\ 0\\ \end{bmatrix} +t \begin{bmatrix} -1\\ 1\\ \end{bmatrix}.
  1. Interpret the solution geometrically:
We were given a system of linear equations in 2 variables     R2\implies \reals^2.
Each equation is a hyperplane: in R2\reals^2, hyperplanes are simply lines (in general, a hyperplane in Rn\reals^n is n1n-1 dimensional).
So we have 2 lines, but both lines are identical (hence reducing to a row of 0s).
This means the lines intersect everywhere on the line defined by x=[30]+t[11]\vec x = \begin{bmatrix} 3\\ 0\\ \end{bmatrix} +t \begin{bmatrix} -1\\ 1\\ \end{bmatrix}.

Consider the following augmented matrix in RREF:
[110054001022000143]\left[\begin{array}{rrrrr|r} 1&-1&0&0&-5&4\\[0.5em] 0&0&1&0&-2&2\\[0.5em] 0&0&0&1&4&-3 \end{array}\right]
If the unknowns in this system are x1, x2, x3, x4, x5x_1,\ x_2,\ x_3,\ x_4,\ x_5, find the solution(s) to the linear system.
Then, determine which of the following is the correct geometrical interpretation of the solution.
Extra Practice