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Linear Algebra Examples
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Step 1
Step 1.1
Simplify each term.
Step 1.1.1
Apply the distributive property.
Step 1.1.2
Multiply by .
Step 1.1.3
Multiply .
Step 1.1.3.1
Multiply by .
Step 1.1.3.2
Multiply by .
Step 1.2
To write as a fraction with a common denominator, multiply by .
Step 1.3
Combine and .
Step 1.4
Combine the numerators over the common denominator.
Step 1.5
Multiply by .
Step 1.6
Subtract from .
Step 1.7
Factor out of .
Step 1.7.1
Factor out of .
Step 1.7.2
Factor out of .
Step 1.7.3
Factor out of .
Step 1.8
To write as a fraction with a common denominator, multiply by .
Step 1.9
Combine and .
Step 1.10
Combine the numerators over the common denominator.
Step 1.11
Simplify the numerator.
Step 1.11.1
Apply the distributive property.
Step 1.11.2
Multiply by .
Step 1.11.3
Move to the left of .
Step 2
Step 2.1
Simplify each term.
Step 2.1.1
Apply the distributive property.
Step 2.1.2
Multiply by .
Step 2.1.3
Multiply .
Step 2.1.3.1
Multiply by .
Step 2.1.3.2
Multiply by .
Step 2.2
To write as a fraction with a common denominator, multiply by .
Step 2.3
Combine and .
Step 2.4
Combine the numerators over the common denominator.
Step 2.5
Multiply by .
Step 2.6
Subtract from .
Step 2.7
To write as a fraction with a common denominator, multiply by .
Step 2.8
Combine and .
Step 2.9
Combine the numerators over the common denominator.
Step 2.10
Move to the left of .
Step 3
Write the system of equations in matrix form.
Step 4
Step 4.1
Multiply each element of by to make the entry at a .
Step 4.1.1
Multiply each element of by to make the entry at a .
Step 4.1.2
Simplify .
Step 4.2
Multiply each element of by to make the entry at a .
Step 4.2.1
Multiply each element of by to make the entry at a .
Step 4.2.2
Simplify .
Step 5
Use the result matrix to declare the final solutions to the system of equations.
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.