Let upsilon1 1 2 3 2 upsilon2 2 2 1 1 upsilon3 4 2 3 1 an

Let upsilon_1 = [-1 2 -3 -2], upsilon_2 = [2 -2 1 1], upsilon_3 = [-4 2 3 1], and upsilon_4 = [-3 -1 3 -1] the set {upsilon_1, upsilon_2, upsilon_3, upsilon_4} is linearly dependent. Find a nontrivial linear combination of these vectors that adds up to 0. Is the vector [0 -1 -3 -4] in the span of S? Justify your answer. Let S = {[-2 -1 -1 3], [-1 1 2 3], [6 3 3 -9], [1 1 -2 -2], [2 -2 6 -3]} Find a basis for the subspace W spanned by S, and the dimension of W.

Solution

2. Let A =

-1

2

-4

-3

0

2

-2

2

-1

-1

-3

1

3

3

-3

-2

1

1

-1

-4

   We will reduce A to its RREF as under:

Multiply the 1st row by -1 ; Add -2 times the 1st row to the 2nd row       

Add 3 times the 1st row to the 3rd row ; Add 2 times the 1st row to the 4th row

Multiply the 2nd row by ½ ; Add 5 times the 2nd row to the 3rd row

Add 3 times the 2nd row to the 4th row; Multiply the 3rd row by -2/11

Add 11/2 times the 3rd row to the 4th row ; Add 7/2 times the 3rd row to the 2nd row

Add -3 times the 3rd row to the 1st row ; Add 2 times the 2nd row to the 1st row

Then the RREF of A is

1

0

-2

0

3

0

1

-3

0

3

0

0

0

1

1

0

0

0

0

0

Apparently, v3 = -2v1-3v2. Further, 2v1 +3v2+v3+ 0v4 = 0 and since, (0,-1,-3,-4)T= 3v1 +3v2 +v4, hence this vector is in span{S}.

3. Let B =

-2

-1

6

1

2

-1

1

3

1

-2

-1

2

3

-2

6

3

3

-9

-2

-3

We will reduce B to its RREF as under:

Multiply the 1st row by -1/2 ; Add 1 times the 1st row to the 2nd row

Add 1 times the 1st row to the 3rd row ; Add -3 times the 1st row to the 4th row

Multiply the 2nd row by 2/3 ; Add -5/2 times the 2nd row to the 3rd row

Add -3/2 times the 2nd row to the 4th row ; Multiply the 3rd row by -3/10

Add 1 times the 3rd row to the 4th row ; Add -1/3 times the 3rd row to the 2nd row

Add 1/2 times the 3rd row to the 1st row ; Add -1/2 times the 2nd row to the 1st row

Then the RREF of B is

1

0

-3

0

-2

0

1

0

0

-1

0

0

0

1

-3

0

0

0

0

0

Apparently, only (-2, -1,-1,3)T, (-1,1,2,3)T and ( 1,1,-2,-2)Tare linearly independent and ( 6,3,3,-9)T and ( 2,-2,6,-3)Tare linear combinations of (-2, -1,-1,3)T, (-1,1,2,3)T and ( 1,1,-2,-2)T.

A basis for W is { (-2, -1,-1,3)T, (-1,1,2,3)T , ( 1,1,-2,-2)T}. Further, dim (W) = 3.

-1

2

-4

-3

0

2

-2

2

-1

-1

-3

1

3

3

-3

-2

1

1

-1

-4

 Let upsilon_1 = [-1 2 -3 -2], upsilon_2 = [2 -2 1 1], upsilon_3 = [-4 2 3 1], and upsilon_4 = [-3 -1 3 -1] the set {upsilon_1, upsilon_2, upsilon_3, upsilon_4}
 Let upsilon_1 = [-1 2 -3 -2], upsilon_2 = [2 -2 1 1], upsilon_3 = [-4 2 3 1], and upsilon_4 = [-3 -1 3 -1] the set {upsilon_1, upsilon_2, upsilon_3, upsilon_4}
 Let upsilon_1 = [-1 2 -3 -2], upsilon_2 = [2 -2 1 1], upsilon_3 = [-4 2 3 1], and upsilon_4 = [-3 -1 3 -1] the set {upsilon_1, upsilon_2, upsilon_3, upsilon_4}
 Let upsilon_1 = [-1 2 -3 -2], upsilon_2 = [2 -2 1 1], upsilon_3 = [-4 2 3 1], and upsilon_4 = [-3 -1 3 -1] the set {upsilon_1, upsilon_2, upsilon_3, upsilon_4}

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