00:01
Okay, well, clearly this subspace here is the span of here we are going to have three vectors.
00:09
We are going to have the first vector which is 3, 12, negative 9 and negative 3.
00:18
The second vector which is 6, negative 4, 5 and 1.
00:26
And the third vector which is going to be the vector negative 1 negative 4 3 and 1 okay perfect so now the only thing that we need to check is that if whether these 3 vectors are linearly independent or not okay well how can we check this let's consider the matrix given by these three vectors as its columns.
01:01
So 3, 12, negative 9, negative 3, 6, negative 4, 5 and 1, negative 1, negative 4, 3 and 1.
01:15
Okay, well let's see if this matrix got full rank.
01:20
If this matrix has full rank, then it means that these three vectors are linearly independent.
01:27
So this one is going to be a basis of our subspace and the dimension is going to be three.
01:34
Okay, well, perfect.
01:35
Let's compute the determinant of these sub -matrics.
01:40
Oh, actually not this one.
01:43
Okay, we need this one here.
01:48
Okay, if the determinant of these three times three matrix is different from zero, then it means that these three vectors are linearly independent...