It is found that the canonical momentum is directly proportional to the gradient of space phase.
发现正则动量与空间相的梯度成正比。
Now, what's the gradient vector?
现在，梯度向量是什么呢？
So, the gradient is perpendicular.
所以，梯度向量是垂直的。
It points opposite to the gradient.
指向和梯度向量相反。
Switch to the Gradient Tool (G).
切换到渐变工具(G)。
What is the gradient of this function?
这个函数的梯度是什么？
请讲？，哦，不是梯度。
Well, you take the gradient of a function.
作出一个函数的梯度。
Adding one doesn't change the gradient.
加1并不改变梯度。
Well, so, what's the gradient of this function?
那么，这一函数的梯度是什么？
Set the gradient style to Radial Gradient .
设置渐变模式为径向(圆形)渐变 。
I've used the Gradient to make it seem indented.
我使用了颜色渐变让它看上去陷下去了一样。
The normal vector will just be the gradient.
法向量就是梯度向量。
Find the gradient. Find an approximation formula.
求梯度和近似公式。
Yes, that's right. The gradient tool is evil.
好，我用渐变工具完成了水管、山、砖块。
So, the way to do it is that we compute the gradient.
方法应该是去计算出梯度。
This one goes right away, by using the gradient factor.
方法是使用梯度因子，很快的得到了结果。
But, so here's the first cool property of the gradient.
现在我们来看看梯度的第一个好性质。
So, if you prefer, that's where the gradient vector is zero.
认为梯度向量为零也是可以的。
Well, the gradient is also a way to package partials together.
同样地，梯度也是把偏导数糅合到一起。
The gradient vector would be going perpendicular to the level.
梯度向量应该垂直于等值线。
So, if actually show you the gradient, you can't really see it here.
如果展示梯度的话，在这儿是看不到的。
The gradient effect here makes the reflection seem to fade away.
这里的渐变效果使倒影看起来似乎正在淡出。
Click on the gradient to open up the gradient Editor dialog box.
点击渐变条打开渐变面板。
If you are a physicist, that the force will be negative the gradient.
如果你是物理学家，力其实是负的梯度。
We have seen that the gradient is perpendicular to the level surface.
我们已经知道，梯度是垂直于等值面的。
Notice the gradient backing of the button components in Figure 2.
请注意图2中按钮组件的渐变背景。
Say that f, our vector field is actually the gradient of some function.
也就是向量场f实际上是一个函数的梯度。
Access the Tool Panel again and select the Gradient Tool this time.
再次使用工具箱，这次我们使用渐变工具。
If I fix a point, then the gradient vector at that point is given to me.
确定一点，那么对我来说，这点的梯度向量就是确定的。
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