Properties of systems of linear equations

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SUMMARY

The discussion centers on the properties of systems of linear equations, particularly focusing on a 3x3 matrix example, A = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} }. The row reduction process reveals that if two rows become identical, it indicates an infinite number of solutions due to the presence of a free variable. The conversation also highlights the importance of the augmented matrix in determining the existence of solutions, where the equation 0x + 0y + 0z = (2b - a - c)/6 must hold true for infinite solutions, otherwise, no solution exists.

PREREQUISITES
  • Understanding of matrix representation of linear equations
  • Familiarity with row reduction techniques
  • Knowledge of augmented matrices
  • Concept of homogeneous systems in linear algebra
NEXT STEPS
  • Study Gaussian elimination for solving systems of linear equations
  • Learn about the implications of free variables in linear algebra
  • Explore the geometric interpretation of linear equations and their solutions
  • Investigate the conditions for unique, infinite, and no solutions in linear systems
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching systems of linear equations and their properties.

hholzer
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If you have, as an example, a 3x3 matrix:

A = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} }

Such that Ax = 0

and you perform row reductions on it
and at a certain point it reduces to:
{ {1, 2, 3}, { 0, 1, 2}, {0, 1, 2} }

Then you could legitimately remove
one of {0, 1, 2} from the system
as it contributes nothing special, right?

As such, this would indicate that you have
an infinite number of solutions with a
free variable, yes?

(Geometrically: if in the 3x3 case above
you end up with two rows that are the
same after row reductions, then it would
suggest that having a single point as a
solution is an impossibility. As a single point
could only arise from three separate planes.).
 
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What "system" are you talking about removing "{0, 1, 2}" from? You said nothing about a system before that.

If you are thinking about that matrix as representing a system of equations, say x+ 2y+ 3z= a, 4x+ 5y+ 6z= b, and 7x+ 8y+ 9z= c, then the augmented matrix is
[tex]\begin{bmatrix}1 & 2 & 3 & a \\ 4 & 5 & 6 & b \\ 7 & 8 & 9 & c\end{bmatrix}[/tex]

Subtracting 4 times the first row from the second and 7 times the first row from the third gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\0 & -3 & -6 & b- 4a \\ 0 & -6 & -12 & c- 7a\end{bmatrix}[/tex]
Dividing the second row by -3 and the third row by -6 gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\ 0 & 1 & 2 & \frac{4a- b}{3} \\ 0 & 1 & 2 & \frac{7a- c}{6}\end{bmatrix}[/tex]
In which the first three columns are now the same as yours. Subtracting the second row from the third gives
[tex]\begin{bmatrix} 1 & 2 & 3 & a \\ 0 & 1 & 2 & \frac{4a- b}{3} \\ 0 & 0 & 0 & \frac{2b- a- c}{6}\end{bmatrix}[/tex].

But we cannot simply ignore that last row. It corresponds to the equation
[tex]0x+ 0y+ 0z= \frac{2b- a - c}{6}[/tex]
which is true only if 2b- a- c= 0. If that is true, then there exist an infinite number of solutions to the original system. If it is not true, then there is NO solution.

(Geometrically, if two or all three of the planes are parallel then there is NO solution.)
 
I had made mention of Ax = 0 because I was talking about
the homogeneous case.
 

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