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Linear Algebra Examples
,
Step 1
Add to both sides of the equation.
Step 2
Write the system of equations in matrix form.
Step 3
Step 3.1
Multiply each element of by to make the entry at a .
Step 3.1.1
Multiply each element of by to make the entry at a .
Step 3.1.2
Simplify .
Step 3.2
Perform the row operation to make the entry at a .
Step 3.2.1
Perform the row operation to make the entry at a .
Step 3.2.2
Simplify .
Step 4
Use the result matrix to declare the final solutions to the system of equations.
Step 5
Step 5.1
Subtract from both sides of the equation.
Step 5.2
Multiply both sides of the equation by .
Step 5.3
Simplify both sides of the equation.
Step 5.3.1
Simplify the left side.
Step 5.3.1.1
Simplify .
Step 5.3.1.1.1
Cancel the common factor of .
Step 5.3.1.1.1.1
Cancel the common factor.
Step 5.3.1.1.1.2
Rewrite the expression.
Step 5.3.1.1.2
Cancel the common factor of .
Step 5.3.1.1.2.1
Factor out of .
Step 5.3.1.1.2.2
Cancel the common factor.
Step 5.3.1.1.2.3
Rewrite the expression.
Step 5.3.2
Simplify the right side.
Step 5.3.2.1
Simplify .
Step 5.3.2.1.1
Apply the distributive property.
Step 5.3.2.1.2
Cancel the common factor of .
Step 5.3.2.1.2.1
Move the leading negative in into the numerator.
Step 5.3.2.1.2.2
Cancel the common factor.
Step 5.3.2.1.2.3
Rewrite the expression.
Step 5.3.2.1.3
Cancel the common factor of .
Step 5.3.2.1.3.1
Factor out of .
Step 5.3.2.1.3.2
Factor out of .
Step 5.3.2.1.3.3
Cancel the common factor.
Step 5.3.2.1.3.4
Rewrite the expression.
Step 5.3.2.1.4
Combine and .
Step 5.3.2.1.5
Combine and .
Step 5.3.2.1.6
Move the negative in front of the fraction.
Step 5.4
Reorder and .
Step 6
The solution is the set of ordered pairs that makes the system true.
Step 7
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.