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Linear Algebra Examples
, ,
Step 1
Add to both sides of the equation.
Step 2
Add and .
Step 3
Add to both sides of the equation.
Step 4
Add and .
Step 5
Write the system of equations in matrix form.
Step 6
Step 6.1
Multiply each element of by to make the entry at a .
Step 6.1.1
Multiply each element of by to make the entry at a .
Step 6.1.2
Simplify .
Step 6.2
Perform the row operation to make the entry at a .
Step 6.2.1
Perform the row operation to make the entry at a .
Step 6.2.2
Simplify .
Step 6.3
Perform the row operation to make the entry at a .
Step 6.3.1
Perform the row operation to make the entry at a .
Step 6.3.2
Simplify .
Step 6.4
Multiply each element of by to make the entry at a .
Step 6.4.1
Multiply each element of by to make the entry at a .
Step 6.4.2
Simplify .
Step 6.5
Perform the row operation to make the entry at a .
Step 6.5.1
Perform the row operation to make the entry at a .
Step 6.5.2
Simplify .
Step 6.6
Multiply each element of by to make the entry at a .
Step 6.6.1
Multiply each element of by to make the entry at a .
Step 6.6.2
Simplify .
Step 6.7
Perform the row operation to make the entry at a .
Step 6.7.1
Perform the row operation to make the entry at a .
Step 6.7.2
Simplify .
Step 6.8
Perform the row operation to make the entry at a .
Step 6.8.1
Perform the row operation to make the entry at a .
Step 6.8.2
Simplify .
Step 6.9
Perform the row operation to make the entry at a .
Step 6.9.1
Perform the row operation to make the entry at a .
Step 6.9.2
Simplify .
Step 7
Use the result matrix to declare the final solutions to the system of equations.
Step 8
The solution is the set of ordered pairs that makes the system true.
Step 9
Decompose a solution vector by re-arranging each equation represented in the row-reduced form of the augmented matrix by solving for the dependent variable in each row yields the vector equality.