Linear Algebra: Solving a system with free variables

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SUMMARY

This discussion focuses on solving a system of linear equations with free variables using an augmented matrix. The user initially sets up the matrix but struggles with interpreting the results and the meaning of the parameter "s" in the parametric vector form. A key insight provided is that row reduction of the augmented matrix is necessary to express the variables in terms of the free variable, leading to a solution format that includes a vector plus a parameter multiplied by another vector.

PREREQUISITES
  • Understanding of augmented matrices and their setup
  • Familiarity with row reduction techniques in linear algebra
  • Knowledge of parametric vector forms in linear systems
  • Concept of free variables in the context of linear equations
NEXT STEPS
  • Learn how to perform row reduction to achieve reduced row echelon form
  • Study the concept of free variables and their role in linear systems
  • Explore the parametric vector form of solutions for linear equations
  • Practice solving systems of equations with multiple free variables
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Students and educators in linear algebra, mathematicians working with systems of equations, and anyone seeking to deepen their understanding of solving linear systems with free variables.

Ryry013
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Here is a picture of the problem.
95a5184073482d018c453a322f0bf325.png
Can anyone give me some hints on the problem? I've looked in my textbook, but I don't know what "s" means. I found stuff on the parametric vector form, and it gives me the equation x = su + tv, but I don't see any "t"'s in this problem.

I first tried setting up an augmented matrix with

[ 1 1 0 0 | -3 ]
[ 0 1 1 0 | -3 ]
[ 0 0 1 1 | -4 ]
[ 1 0 0 1 | -4 ]

And I solved for the four variables, like:
x1 = -3 - x2
x2 = -3 - x3
x3 = -4 - x4
x4 = -4 - x1

And now I'm stumped. I didn't think these would do anything, but setting the first and second rows equal to each other, and the third and fourth rows equal to each other simply gets x1 - x3 = 0 for both of them.

I didn't think this would do anything either, but I tried also back substituting the x1 equation into the x4 equation, and then the x2 equation into x4, and so on, and that ended up with x4 = x4.
 
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edit: never my idea didn't work
 
Chas3down said:
edit: never my idea didn't work

Thanks for the try though.
 
Ryry013 said:
Here is a picture of the problem.
95a5184073482d018c453a322f0bf325.png
Can anyone give me some hints on the problem? I've looked in my textbook, but I don't know what "s" means. I found stuff on the parametric vector form, and it gives me the equation x = su + tv, but I don't see any "t"'s in this problem.

I first tried setting up an augmented matrix with

[ 1 1 0 0 | -3 ]
[ 0 1 1 0 | -3 ]
[ 0 0 1 1 | -4 ]
[ 1 0 0 1 | -4 ]

And I solved for the four variables, like:
x1 = -3 - x2
x2 = -3 - x3
x3 = -4 - x4
x4 = -4 - x1
It looks like you didn't actually do anything with your augmented matrix. Use row reduction to get the matrix in reduced row echelon form. When it's completely reduced you can solve for x1, x2, and x3 in terms of x4. Your solution will look like a vector + a parameter (that's s) times another vector.
Ryry013 said:
And now I'm stumped. I didn't think these would do anything, but setting the first and second rows equal to each other, and the third and fourth rows equal to each other simply gets x1 - x3 = 0 for both of them.

I didn't think this would do anything either, but I tried also back substituting the x1 equation into the x4 equation, and then the x2 equation into x4, and so on, and that ended up with x4 = x4.
 
I agree with Mark44. When I row reduce the augmented matrix, I get all "0"s in the last row, non-zero values in the third column and fourth columns.
Something like this:
\begin{bmatrix} 1 & 0 & 0 & a_1 & b_1 \\ 0 & 1 & 0 & a_2 & b_2 \\ 0 & 0 & 1 & a_3 & b_3 \\ 0 & 0 & 0 & 0 & 0\end{bmatrix}
(with, of course, specific numbers for the "a"s and "b"s but I wanted to leave that fun to you!)

That is equivalent to the equation x_1+ a_1x_4= b_1, x_2+ a_2x_4= b_4, and x_3+ a_3x_4= b_4 which can be solved as "a_i equals a number plus a multiple of x_4".
 

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