Quiz 6 Solutions - Applied Linear Algebra | MATH 310, Quizzes of Linear Algebra

Material Type: Quiz; Class: Applied Linear Algebra; Subject: Mathematics; University: University of Illinois - Chicago;

Typology: Quizzes

2011/2012

Uploaded on 05/03/2012

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Math 310, 1pm
Quiz 6 solutions: 3.4
Find a basis for R3:
~x1=
1
4
3
, ~x2=
2
8
6
, ~x3=
1
1
2
, ~x4=
3
0
2
, ~x5=
4
7
9
To form a basis for R3we need three linearly independent vectors. One could try row reduction
or trial and error using the determinant. I choose row reduction.
Form a matrix for which the columns are the vectors:
1 2 1 3 4
48 1 0 7
36 2 2 9
Row reduce until it is evident which columns contain lead ”ones”:
1 2 1 3 4
48 1 0 7
36 2 2 9
4R1+R2
1 2 1 3 4
0 0 3 12 9
36 2 2 9
3R1+R3
1 2 1 3 4
0 0 3 12 9
0 0 1 11 3
1
3R2
1 2 134
0 0 1 4 3
0 0 1 11 3
R2+R3
1 2 13 4
0 0 1 4 3
0 0 0 7 0
Columns 1, 3, and 4 have lead ”ones”, therefore the vectors corresponding to these columns (~x1,
~x3, and ~x4) would be linearly independent.
To see, consider the matrix whose columns are the vectors ~x1,~x3, and ~x4:
11 3
4 1 0
3 2 2
Removing columns won’t change the result of row operations on the remaining columns,
therefore, from above, the reduced matrix is:
11 3
0 1 4
0 0 7
Solve the system for, say ~α:
11 3 0
0 1 4 0
0 0 7 0
Since each column of the coefficient matrix has a lead ”one”, there is a unique solution, which
must be the trivial solution, ~α =~
0.
1
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Math 310, 1pm Quiz 6 solutions: 3.

Find a basis for R^3 :

~x 1 =

 (^) , ~x 2 =

 (^) , ~x 3 =

 (^) , ~x 4 =

 (^) , ~x 5 =

To form a basis for R^3 we need three linearly independent vectors. One could try row reduction or trial and error using the determinant. I choose row reduction.

Form a matrix for which the columns are the vectors:  

Row reduce until it is evident which columns contain lead ”ones”:  

 −^4 −R−1+−−R→^2

 −^3 −R−1+−−R→^3

 −^

(^13) R 2 −−−−→

 −R−2+−−R→^3

Columns 1, 3, and 4 have lead ”ones”, therefore the vectors corresponding to these columns (~x 1 , ~x 3 , and ~x 4 ) would be linearly independent.

To see, consider the matrix whose columns are the vectors ~x 1 , ~x 3 , and ~x 4 :  

Removing columns won’t change the result of row operations on the remaining columns, therefore, from above, the reduced matrix is:  

Solve the system for, say ~α:

Since each column of the coefficient matrix has a lead ”one”, there is a unique solution, which must be the trivial solution, α~ = ~0.

Thus for the equation α 1 x 1 + α 3 x 3 + α 4 x 4 = 0, α 1 = α 3 = α 4 = 0 and the vectors are linearly independent.

∴ the set {x 1 , x 3 , x 4 } forms a basis for R^3

Note: there are other possibilities for solutions.