Linear Algebra Examples

x-7y=-35x7y=35 , 3x-4y=-53x4y=5
Step 1
Write the system of equations in matrix form.
[1-7-353-4-5][1735345]
Step 2
Find the reduced row echelon form.
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Step 2.1
Perform the row operation R2=R2-3R1R2=R23R1 to make the entry at 2,12,1 a 00.
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Step 2.1.1
Perform the row operation R2=R2-3R1R2=R23R1 to make the entry at 2,12,1 a 00.
[1-7-353-31-4-3-7-5-3-35][17353314375335]
Step 2.1.2
Simplify R2R2.
[1-7-35017100][1735017100]
[1-7-35017100][1735017100]
Step 2.2
Multiply each element of R2R2 by 117117 to make the entry at 2,22,2 a 11.
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Step 2.2.1
Multiply each element of R2R2 by 117117 to make the entry at 2,22,2 a 11.
[1-7-35017171710017][1735017171710017]
Step 2.2.2
Simplify R2R2.
[1-7-350110017][17350110017]
[1-7-350110017][17350110017]
Step 2.3
Perform the row operation R1=R1+7R2R1=R1+7R2 to make the entry at 1,21,2 a 00.
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Step 2.3.1
Perform the row operation R1=R1+7R2R1=R1+7R2 to make the entry at 1,21,2 a 00.
[1+70-7+71-35+7(10017)0110017]1+707+7135+7(10017)0110017
Step 2.3.2
Simplify R1R1.
[10105170110017][10105170110017]
[10105170110017]
[10105170110017]
Step 3
Use the result matrix to declare the final solutions to the system of equations.
x=10517
y=10017
Step 4
The solution is the set of ordered pairs that makes the system true.
(10517,10017)
Step 5
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.
X=[xy]=[1051710017]
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