00:01
In this example, we have a matrix that's provided and a vector as well, and our goal here is to determine if the vector w is in the null space of this matrix a.
00:11
Let's start out by recalling what the null space is.
00:14
We write null a to refer to the null space of a, and it is a set.
00:19
It's a set of all vectors x, such that a times x results in the zero vector.
00:25
So to check if w is in the null space of a, really all we're concerned about is whether or not this equation is true by definition.
00:36
So let's jump to focusing on this equation.
00:38
Our x is going to play the role of w in this case, and so we're taking a times w.
00:44
Let me copy a first.
00:46
It's 3, 6, negative 8, negative 5, negative 2, 4, and negative 301.
00:53
We're multiplying by the vector w, which is 1, 3, and negative 4, and we're going to check if we get the 0 vector.
01:02
First, we take the first entry, which is the column here, multiplied by the corresponding entries in this row, producing 3 minus 15 plus 12, and this is 0 altogether...