What this expression is saying is that the matrix vector product A times V gives the same result as just scaling the eigenvector V by some value lambda.

这个表达式说的是矩阵向量乘积A乘以V得到的结果和特征向量V乘以某个值是一样的。

Then when we apply m to to that vector, you can work out the matrix vector product to get zero negative too, which becomes the 2nd column of our composition matrix.

然后当我们把m作用到这个向量上 你可以算出矩阵和向量的乘积也得到负0 这就变成了复合矩阵的第二列。