Linear Algebra Examples

Write as a Vector Equality 5a+3b=35 , a/b=2/5
,
Step 1
Write the system of equations in matrix form.
Step 2
Find the reduced row echelon form.
Tap for more steps...
Step 2.1
Multiply each element of by to make the entry at a .
Tap for more steps...
Step 2.1.1
Multiply each element of by to make the entry at a .
Step 2.1.2
Simplify .
Step 2.2
Perform the row operation to make the entry at a .
Tap for more steps...
Step 2.2.1
Perform the row operation to make the entry at a .
Step 2.2.2
Simplify .
Step 2.3
Multiply each element of by to make the entry at a .
Tap for more steps...
Step 2.3.1
Multiply each element of by to make the entry at a .
Step 2.3.2
Simplify .
Step 2.4
Perform the row operation to make the entry at a .
Tap for more steps...
Step 2.4.1
Perform the row operation to make the entry at a .
Step 2.4.2
Simplify .
Step 3
Use the result matrix to declare the final solutions to the system of equations.
Step 4
Solve the equation for .
Tap for more steps...
Step 4.1
Move all terms containing to the left side of the equation.
Tap for more steps...
Step 4.1.1
Add to both sides of the equation.
Step 4.1.2
To write as a fraction with a common denominator, multiply by .
Step 4.1.3
Combine and .
Step 4.1.4
Combine the numerators over the common denominator.
Step 4.1.5
Simplify the numerator.
Tap for more steps...
Step 4.1.5.1
Move to the left of .
Step 4.1.5.2
Add and .
Step 4.2
Since the expression on each side of the equation has the same denominator, the numerators must be equal.
Step 4.3
Divide each term in by and simplify.
Tap for more steps...
Step 4.3.1
Divide each term in by .
Step 4.3.2
Simplify the left side.
Tap for more steps...
Step 4.3.2.1
Cancel the common factor of .
Tap for more steps...
Step 4.3.2.1.1
Cancel the common factor.
Step 4.3.2.1.2
Divide by .
Step 4.3.3
Simplify the right side.
Tap for more steps...
Step 4.3.3.1
Divide by .
Step 5
The solution is the set of ordered pairs that makes the system true.
Step 6
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.