Those of you who watch Chapter Two will recognize this as meaning that the columns of the matrix are linearly dependent.

看过第二章的人会知道这意味着矩阵的列向量是线性相关的。

Whenever this happens, where you have multiple vectors and you could remove one without reducing the span, the relevant terminology is to say that they are linearly dependent.

每当这种情况发生时 当你有多个向量你可以在不缩小张成空间的情况下移除一个 相关的术语是说它们是线性相关的。

If the vectors that I had N-J had land on, are linearly dependent, which, if you recall from last video, means that one is a scaled version of the other.

如果N-J所落的向量 是线性相关的 如果你还记得上个视频 这意味着一个向量是另一个向量的缩放版本。

It means that the linear transformation squishes all of two d space on to the line where those two vectors sit, also known as the one dimensional span of those two linearly dependent vectors.

它意味着线性变换将所有二维空间压缩到这两个向量所在的直线上 也称为这两个线性相关向量的一维张成的空间。