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Need help solving system in three variables
-2x + 8y + 2z = 4
x + 6y + 3z = 4
3x - 2y + z = 0
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-2x + 8y + 2z = 4 (1)
x + 6y + 3z = 4 (2)
3x - 2y + z = 0 (3)
Add equations (1) and (3) (both sides). You will get
x + 6y + 3z = 4 (4).
Now compare equation (4) with equation (2). What do you see ??
Their left sides are identical. Their right sides are identical, too.
What does it mean ?? - It means that the equation (2) is DEPENDENT on equations (1) and (3).
In other words, equation (2) doesn't carry new information.
What does it mean ?? - It means that, factually, there are only TWO equations for THREE unknowns.
What does it mean ?? - It means that the original system of equations HAS INFINITELY MANY solutions.
Answer. The system of equations (1), (2), (3) HAS INFINITELY MANY solutions.
There is a bunch of lessons on solving systems of linear equations in three unknowns by the Substitution and Elimination methods
- Solving systems of linear equations in 3 unknowns by the Substitution method
- BRIEFLY on solving systems of linear equations in 3 unknowns by the Substitution method
- Solving systems of linear equations in 3 unknowns by the Elimination method
- BRIEFLY on solving systems of linear equations in 3 unknowns by the Elimination method
- OVERVIEW of LESSONS on solving systems of linear equations in three unknowns by the Substitution and/or Elimination methods
On Cramer's rule for solving systems of 3 equations in 3 unknowns see the lessons
- Determinant of a 3x3 matrix
- Co-factoring the determinant of a 3x3 matrix
- HOW TO solve system of linear equations in three unknowns using determinant (Cramer's rule)
- Solving systems of linear equations in three unknowns using determinant (Cramer's rule)
- Solving word problems by reducing to systems of linear equations in three unknowns
in this site.
Also, you have this free of charge online textbook in ALGEBRA-II in this site
- ALGEBRA-II - YOUR ONLINE TEXTBOOK.
The referred lessons are the part of this online textbook under the topic
"3x3-Matrices, determinants, Cramer's rule for systems in three unknowns"