How to solve a system with more unknowns than equations?

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This discussion addresses solving a system of equations with more unknowns than equations, specifically using the Row-Echelon form. The provided system is transformed into a form that reveals infinitely many solutions dependent on a free parameter, denoted as t. The final solutions derived are x = 4 - t, y = -2t, and z = -1 - t, illustrating the dependency on the chosen value of t. The LaTeX code for the matrix representation is also included, facilitating better understanding and presentation of the equations.

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stonecoldgen
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Because if you reduce to Row-Echelon form you don't end up with a triangulated form. Here is what I ended up with (How do I use Latex Reference to construct a Matrix? Can someone help me with that by the way please?)

1 -1 3 2 | 1
0 1 1 3 | -1
0 0 1 1 | -1
 
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stonecoldgen said:
Because if you reduce to Row-Echelon form you don't end up with a triangulated form. Here is what I ended up with (How do I use Latex Reference to construct a Matrix? Can someone help me with that by the way please?)

1 -1 3 2 | 1
0 1 1 3 | -1
0 0 1 1 | -1

Here is the LaTeX code:

[tex]\left(\begin{array}{cccc|c}<br /> 1 & -1 & 3 & 2 & 1\\<br /> 0 & 1 & 1 & 3 & -1\\<br /> 0 & 0 & 1 & 1 & -1<br /> \end{array}\right)[/tex]

See our LaTeX tutorial: https://www.physicsforums.com/showpost.php?p=3977517&postcount=3

Anyway, to the math. In cases like this, you will not get a unique solution, you will get infinitely many solutions which depend on a free parameter. Let's first transfrom the system back to the usual form:

[tex]\left\{<br /> \begin{array}{l}<br /> x - y + 3z + 2t = 1\\<br /> y + z + 3t = -1\\<br /> z + t = -1<br /> \end{array}<br /> \right.[/tex]

The idea is to write all variables in function of ##t## (or ##x## or whatever, it doesn't matter which one). We can certainly write ##z## in function of ##t## as follows:

[tex]z = -1 - t[/tex]

Now, we know ##y + z + 3t = -1##, we can substitute the above version of ##z## into this equation and get

[tex]y + (-1 -t) + 3t = -1[/tex]

Thus we can write ##y## in function of ##t##:

[tex]y = -2t[/tex]

Finally, we can do the same for ##x##, we have the equation ##x - y + 3z + 2t = 1##. Substituting ##y## and ##z##, we get

[tex]x - (-2t) + 3(-1-t) + 2t = 1[/tex]

Solving for ##x## gives us

[tex]x = 4-t[/tex]

So we get the following solutions for the system:

[tex]x= 4-t,~y=-2t,~z=-1-t[/tex]

This means that for every real number ##t## that we take, we get a solution for our system. For example, taking ##t=0##, we get ##(x,y,z,t) = (4,0,-1,0)##. On the other hand, taking ##t=1##, we get ##(x,y,z,t) = (3,-2,0,1)## as a solution. So we see that we have infinitely many solutions, one for each ##t##.
 
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