Multiplying two matrices is also similar.

两个矩阵相乘也是类似的。

There are a lot of things that make diagonal matrices much nicer to work with.

有很多东西可以使对角矩阵更好地工作。

Each of our 32 squares has 4 matrices, so that’s 32 thousand, 7 hundred and 68 bits.

我们的 32 个方块中的每一个都有 4 个矩阵，所以是 32,000，700 和 68 位。

Most immediately, in the next video, I'll be talking about multiplying two matrices together.

最直接的 在下个视频中 我将讨论两个矩阵相乘。

Always remember that multiplying two matrices like this has the geometric meaning of applying one transformation than another.

永远记住 像这样的两个矩阵相乘具有应用一种变换而不是另一种变换的几何意义。

If you multiply two matrices together, the determinant of the resulting matrix is the same as the product of the determinance of the original two matrices.

如果你把两个矩阵相乘 结果矩阵的行列式就等于原来两个矩阵行列式的乘积。

Based on how things are written down here, I think it's reasonable to call this new matrix the product of the original two matrices, don't you?

根据这里写的东西 我认为把这个新矩阵叫做原来两个矩阵的乘积是合理的 不是吗？

That middle matrix represents a transformation of some kind as you see it, and the outer two matrices represent the empathy, the shift in perspective, and the full matrix product represents that same transformation, but as someone else sees it.

中间的矩阵代表了你看到的某种变换 外面的两个矩阵代表了移情 视角的转变 整个矩阵乘积代表了同样的变换 但是是其他人看到的。