So I mentioned you should be able to identify both how many nodes you have and what a graph might look like of different radial probability distributions.

我说过你们要能够辨认,不同的径向概率分布有多少个节点,以及它的图画出来,大概是什么样的。

麻省理工公开课 - 化学原理课程节选

Similarly, if we were to look at the radial probability distributions, what we would find is that there's an identical nodal structure.

相似地如果我们看看,径向概率分布,我们会发现有一个完全相同的波节结构。

麻省理工公开课 - 化学原理课程节选

So, you should be able to generally identify and draw the general form of these radial probability distributions.

所以你们应该可以大概辨认,并且画出概率,分布的大致形式。

麻省理工公开课 - 化学原理课程节选

So, we can look at other radial probability distributions of other wave functions that we talked about.

我们可以来看一看我们讨论过的,其它一些波函数的径向概率分布。

麻省理工公开课 - 化学原理课程节选

OK. So let's actually go to a clicker question now on radial probability distributions.

好，让我们来做一个关于,径向概率分布的题目。

麻省理工公开课 - 化学原理课程节选

We'll start with talking about the shape, just like we did with the s orbitals, and then move on to those radial probability distributions and compare the radial probability at different radius for p orbital versus an s orbital.

想我们对待ｓ轨道那样，我们先讨论ｐ轨道的形状，然后是径向概率密度分布,并且把ｓ轨道和ｐ轨道在,不同半径处的径向概率做一个比较。

麻省理工公开课 - 化学原理课程节选

We'd started on Monday talking about radial probability distributions for the s orbitals.

我们从星期一开始讨论了,ｓ轨道的径向概率分布。

麻省理工公开课 - 化学原理课程节选

OK. So we should be able to figure this out for any orbital that we're discussing, and when we can figure out especially radial nodes, we have a good head start on going ahead and thinking about drawing radial probability distributions.

我们可以将这种方法,用于任何轨道，当我们可以算出有多少个径向节点的时候，我们就为画出径向概率分布,开了个好头。

麻省理工公开课 - 化学原理课程节选

For example, when we're talking about radial probability distributions, the most probable radius is closer into the nucleus than it is for the s orbital.

举例来说当我们讨论径向概率分布时,距离原子核最可能的半径是，比s轨道半径,更近的可以离原子核有多近。

麻省理工公开课 - 化学原理课程节选

The reason in our radial probability distributions we start -- the reason, if you look at the zero point on the radius that we start at zero is because we're multiplying the probability density by some volume, and when we're not anywhere 0 from the nucleus, that volume is defined as zero.

在径向概率密度里，我们开始,如果你们看半径的零点，我们从零点开始,因为我们用概率密,度乘以体积,而当我们，在离核子很近的地方,体积是，所以我们会在这里。

麻省理工公开课 - 化学原理课程节选

So, I think we're a little bit out of time today, but we'll start next class with thinking about drawing radial probability distributions of more than just the 1 s orbital.

快没时间了,但我们，在下节课会讲,1s轨道以外的,径向概率分布。

麻省理工公开课 - 化学原理课程节选