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Linear Algebra Examples
, ,
Step 1
Step 1.1
Apply the distributive property.
Step 1.2
Multiply by .
Step 2
Step 2.1
Apply the distributive property.
Step 2.2
Simplify.
Step 2.2.1
Multiply by .
Step 2.2.2
Multiply by .
Step 3
Step 3.1
Apply the distributive property.
Step 3.2
Multiply by .
Step 3.3
Apply the distributive property.
Step 3.4
Multiply by .
Step 4
Subtract from both sides of the equation.
Step 5
Step 5.1
Add to both sides of the equation.
Step 5.2
Subtract from both sides of the equation.
Step 6
Write the system of equations in matrix form.
Step 7
Step 7.1
Multiply each element of by to make the entry at a .
Step 7.1.1
Multiply each element of by to make the entry at a .
Step 7.1.2
Simplify .
Step 7.2
Perform the row operation to make the entry at a .
Step 7.2.1
Perform the row operation to make the entry at a .
Step 7.2.2
Simplify .
Step 7.3
Perform the row operation to make the entry at a .
Step 7.3.1
Perform the row operation to make the entry at a .
Step 7.3.2
Simplify .
Step 7.4
Multiply each element of by to make the entry at a .
Step 7.4.1
Multiply each element of by to make the entry at a .
Step 7.4.2
Simplify .
Step 7.5
Perform the row operation to make the entry at a .
Step 7.5.1
Perform the row operation to make the entry at a .
Step 7.5.2
Simplify .
Step 7.6
Multiply each element of by to make the entry at a .
Step 7.6.1
Multiply each element of by to make the entry at a .
Step 7.6.2
Simplify .
Step 7.7
Perform the row operation to make the entry at a .
Step 7.7.1
Perform the row operation to make the entry at a .
Step 7.7.2
Simplify .
Step 7.8
Perform the row operation to make the entry at a .
Step 7.8.1
Perform the row operation to make the entry at a .
Step 7.8.2
Simplify .
Step 7.9
Perform the row operation to make the entry at a .
Step 7.9.1
Perform the row operation to make the entry at a .
Step 7.9.2
Simplify .
Step 8
Use the result matrix to declare the final solutions to the system of equations.
Step 9
The solution is the set of ordered pairs that makes the system true.
Step 10
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.