Linear Algebra Examples

Write as a Vector Equality x+y+z=2 , 4x+5y+z=12 , 2x=-4
x+y+z=2x+y+z=2 , 4x+5y+z=12 , 2x=-4
Step 1
Write the system of equations in matrix form.
[111245112200-4]
Step 2
Find the reduced row echelon form.
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Step 2.1
Perform the row operation R2=R2-4R1 to make the entry at 2,1 a 0.
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Step 2.1.1
Perform the row operation R2=R2-4R1 to make the entry at 2,1 a 0.
[11124-415-411-4112-42200-4]
Step 2.1.2
Simplify R2.
[111201-34200-4]
[111201-34200-4]
Step 2.2
Perform the row operation R3=R3-2R1 to make the entry at 3,1 a 0.
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Step 2.2.1
Perform the row operation R3=R3-2R1 to make the entry at 3,1 a 0.
[111201-342-210-210-21-4-22]
Step 2.2.2
Simplify R3.
[111201-340-2-2-8]
[111201-340-2-2-8]
Step 2.3
Perform the row operation R3=R3+2R2 to make the entry at 3,2 a 0.
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Step 2.3.1
Perform the row operation R3=R3+2R2 to make the entry at 3,2 a 0.
[111201-340+20-2+21-2+2-3-8+24]
Step 2.3.2
Simplify R3.
[111201-3400-80]
[111201-3400-80]
Step 2.4
Multiply each element of R3 by -18 to make the entry at 3,3 a 1.
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Step 2.4.1
Multiply each element of R3 by -18 to make the entry at 3,3 a 1.
[111201-34-180-180-18-8-180]
Step 2.4.2
Simplify R3.
[111201-340010]
[111201-340010]
Step 2.5
Perform the row operation R2=R2+3R3 to make the entry at 2,3 a 0.
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Step 2.5.1
Perform the row operation R2=R2+3R3 to make the entry at 2,3 a 0.
[11120+301+30-3+314+300010]
Step 2.5.2
Simplify R2.
[111201040010]
[111201040010]
Step 2.6
Perform the row operation R1=R1-R3 to make the entry at 1,3 a 0.
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Step 2.6.1
Perform the row operation R1=R1-R3 to make the entry at 1,3 a 0.
[1-01-01-12-001040010]
Step 2.6.2
Simplify R1.
[110201040010]
[110201040010]
Step 2.7
Perform the row operation R1=R1-R2 to make the entry at 1,2 a 0.
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Step 2.7.1
Perform the row operation R1=R1-R2 to make the entry at 1,2 a 0.
[1-01-10-02-401040010]
Step 2.7.2
Simplify R1.
[100-201040010]
[100-201040010]
[100-201040010]
Step 3
Use the result matrix to declare the final solutions to the system of equations.
x=-2
y=4
z=0
Step 4
The solution is the set of ordered pairs that makes the system true.
(-2,4,0)
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=[xyz]=[-240]
Enter a problem...
 [x2  12  π  xdx ]