Linear Algebra Examples

{[123],[-2-30],[10-1]}
Step 1
Assign the set to the name S to use throughout the problem.
S={[123],[-2-30],[10-1]}
Step 2
Create a matrix whose rows are the vectors in the spanning set.
[123-2-3010-1]
Step 3
Find the reduced row echelon form of the matrix.
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Step 3.1
Perform the row operation R2=R2+2R1 to make the entry at 2,1 a 0.
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Step 3.1.1
Perform the row operation R2=R2+2R1 to make the entry at 2,1 a 0.
[123-2+21-3+220+2310-1]
Step 3.1.2
Simplify R2.
[12301610-1]
[12301610-1]
Step 3.2
Perform the row operation R3=R3-R1 to make the entry at 3,1 a 0.
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Step 3.2.1
Perform the row operation R3=R3-R1 to make the entry at 3,1 a 0.
[1230161-10-2-1-3]
Step 3.2.2
Simplify R3.
[1230160-2-4]
[1230160-2-4]
Step 3.3
Perform the row operation R3=R3+2R2 to make the entry at 3,2 a 0.
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Step 3.3.1
Perform the row operation R3=R3+2R2 to make the entry at 3,2 a 0.
[1230160+20-2+21-4+26]
Step 3.3.2
Simplify R3.
[123016008]
[123016008]
Step 3.4
Multiply each element of R3 by 18 to make the entry at 3,3 a 1.
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Step 3.4.1
Multiply each element of R3 by 18 to make the entry at 3,3 a 1.
[123016080888]
Step 3.4.2
Simplify R3.
[123016001]
[123016001]
Step 3.5
Perform the row operation R2=R2-6R3 to make the entry at 2,3 a 0.
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Step 3.5.1
Perform the row operation R2=R2-6R3 to make the entry at 2,3 a 0.
[1230-601-606-61001]
Step 3.5.2
Simplify R2.
[123010001]
[123010001]
Step 3.6
Perform the row operation R1=R1-3R3 to make the entry at 1,3 a 0.
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Step 3.6.1
Perform the row operation R1=R1-3R3 to make the entry at 1,3 a 0.
[1-302-303-31010001]
Step 3.6.2
Simplify R1.
[120010001]
[120010001]
Step 3.7
Perform the row operation R1=R1-2R2 to make the entry at 1,2 a 0.
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Step 3.7.1
Perform the row operation R1=R1-2R2 to make the entry at 1,2 a 0.
[1-202-210-20010001]
Step 3.7.2
Simplify R1.
[100010001]
[100010001]
[100010001]
Step 4
Convert the nonzero rows to column vectors to form the basis.
{[100],[010],[001]}
Step 5
Since the basis has 3 vectors, the dimension of S is 3.
dim(S)=3
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 [x2  12  π  xdx ] 
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