Solutions and Solutions Sets
Here are a few examples of linear equations:
- (we can have 3, 4 basically any amount of variables)
Systems of equations just means multiple equations
We can solve systems of equations using methods like elimination, substitution, etc. There’s also a graphical interpretation for solving:
Equivalent Linear Systems of Equations
AND
left=-25; right=-5;
top=10; bottom=-5;
---
x+5y=6
2x+7y=-3At this point, the professor demonstrated, graphically, that
2Dsystems of linear equations can either have one solution, zero solutions, or infinity solutions
In the same way, they demonstrated that
3Dsystems of linear equations behave similarly
Just an fyi we can graph up to 3 spatial dimensions, but when we get into higher-order dimensions— we cannot. We, therefore, must rely on the algebra.
Consistent vs Inconsistent Systems
When a system has solutions it is called consistent, else it is called inconsistent.
Augmented Matrix Notation
Let’s solve it via matrices, our , becomes:
This is a 2x3 matrix (in the same way that this would be a 2x3 array) This is called the AUGMENTED MATRIX of the system
Valid Row Operations
- Swap Rows
- Multi a row by a nonzero constant
- Add to a row a multiple of another row
- (Special) Replace a row by a combination of a mulitple of that row with a multiple of another row (e.g. )
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