That's the whole point of a linear system of equations.

这就是线性方程组的意义所在。

This is called a linear system of equations.

这被称为线性方程组。

The relevant background here is understanding determinance, little bit of dot products, and of course, linear systems of equations.

相关的背景知识是理解行列式 一点点积 当然还有线性方程组。

So that's a very high level overview of how to think about linear systems of equations.

这就是如何思考线性方程组的一个非常高水平的概述。

So the set appear will be some linear system of equations, say, with two unknowns, X and Y, and two equations.

所以集合是一个线性方程组 有两个未知数 X和Y 有两个方程。

But 1st, I should say up front that this creamer's rule is not actually the best way for computing solutions to linear systems of equations.

但首先 我要提前说一下 这个奶油法则实际上并不是计算线性方程组解的最佳方法。

It's the space of all vectors that become no in the sense that they land on the zero in terms of the linear system of equations.

它是所有向量组成的空间它们在线性方程组中落在0点上。

Next up, I'll be relating the idea of linear transformations covered so far to one of the areas where linear algebra is most useful linear systems of equations.

接下来 我将把迄今为止所涉及的线性变换的思想与线性代数最有用的线性方程组的一个领域联系起来。

Most important here is that you know how to think about matrices as linear transformations, but you also need to be comfortable with things like determinants, linear systems of equations and change of basis.

这里最重要的是你知道如何把矩阵看作线性变换 但你也需要熟悉行列式 线性方程组和基底变换。