Reverse-engineering a system of linear equations from solution, using matrices

  1. 1. The problem statement, all variables and given/known data

    Find a system of linear equations, with 3 unknowns, given that the solutions are the points (1,1,1) and (3,5,0) on a line.

    2. Relevant equations


    3. The attempt at a solution

    A solution that lies on a line tells me that I'm looking at the line of intersection between 2 planes. I'm supposed to be using matrices to solve this, but I've only ever done so in the other direction: taking a system of linear equations and reducing them to reduced-row-echelon-form to find the solution set.

    Since there are infinitely many solutions, there must be at least 1 dependent variable. I figured that I would need to first find the equation for the line from the points of the solution, but I ended up with this:

    (x-1)/2 = (y-1)/4 = (z-1)/-1

    which only confused me more. Then I tried to formulate an augmented matrix to try and find the coefficients of the linear equations, but didn't get very far after reduction, and I realized that I was still missing the right hand side of the matrix:

    [a 0b 2.5c ?]
    [0a b -1.5c ?]

    And this is where I stand. Any help is much appreciated.
  2. jcsd
  3. HallsofIvy

    HallsofIvy 40,241
    Staff Emeritus
    Science Advisor

    Showing that this line is the intersection of the planes given by (x-1)/2= (y-1)/4 and (x-1)/2= (z-1)/(-1) which are the same as 4(x-1)= 2(y-1) or 4x- 2y= 2 and -(x-1)= 2(z-1) or x+ 2z= 3. That is, those points satisfy 4x- 2y= 2 and x+ 2z= 3. That's your system of equations.

Know someone interested in this topic? Share a link to this question via email, Google+, Twitter, or Facebook