http://www.youtube.com/watch?v=WtPtxz3ef8U"
Notes from 24:00 to about 50:00
24:00 We have an object which I tell you is a tensor and it happens that in the x-coordinate system, its components are the derivatives of V with respect to X_n.
T_{mn}(x)=\frac{\partial V_m(x)}{\partial x^n}
Ask what its components must be in the y-system. If it really is a tensor, then its componets must be:
T_{mn}(y)=\frac{\partial x^r}{\partial y^m} \frac{\partial x^s}{\partial y^n} T_{rs}(x)
That is under the assumption that T_mn is a tensor. in the y-coordinates, it must be:
If you know what it is in the x-coordinates, you know automatically what it is in the x coordinates. Now we can substitute the assumed value of T_rs(x):
T_{mn}(y)=\frac{\partial x^r}{\partial y^m} \frac{\partial x^s}{\partial y^n} \frac{\partial V_r(x)}{\partial x^s}
And my question is this: Is this, or is this not, equal to the derivative of V_m(y) with respect to y_n
T_{mn}(y)=\frac{\partial x^r}{\partial y^m} \frac{\partial x^s}{\partial y^n} \frac{\partial V_r(x)}{\partial x^s} ?= \frac{\partial V_m(y)}{\partial y^m}
The equals with the question mark doesn't say it is equal, it says, "is it equal?" Is this true? This is how we might have thought, just as derivatives of scalars yield vectors, we might have thought that derivatives of components of vectors transform as tensors, so we're checking out, is this object over here equal to this.
27:00 So let's see if we can work it out. It's not terribly hard. What can we do with this?
\frac{\partial x^s}{\partial y^n} \left (\frac{\partial x^s}{\partial y^n} \frac{\partial V_r(x)}{\partial x^s} \right )
The part in parentheses, does that ring a bell?
That's the chain rule, so
\frac{\partial x^r}{\partial y^m} \frac{\partial V_r(x)}{\partial y^n}
I'm asking are those the same? No no no no no. Is that what I'm asking? Yeah, I guess that's what I'm asking.
29:00 Over here I have something involving Vy. Let's change everything on the right-hand-side so that
\frac{\partial V_m(y)}{\partial y^m}= \frac{\partial}{\partial y^n} \frac{\partial x^r}{\partial y_m} V_r(x)
All I've done here is was use the transformation from y-components to x-components to rewrite Vm() as a derivative of Vm().
\frac{\partial}{\partial y^n} \left(\frac{\partial x^r}{\partial y_m}V_r(x) \right) ?=\frac{\partial x^r}{\partial y^m} \frac{\partial V_r(x)}{\partial y^n}
Okay, well, let's look at it.
We have here a derivative of a product. So first of all, the derivative will hit V. That will give me a term that looks exactly like the right-hand-side. But its not good, because it's only one of the terms when I take the derivative here. (Product Rule)
\frac{\partial}{\partial y^n} \left(\frac{\partial x^r}{\partial y_m}V_r(x) \right) = \frac{\partial}{\partial y^n } \left (\frac{\partial}{ \partial y^m}\right ) V_r(x) + \frac{\partial x^r}{\partial y^m} \frac{\partial V_r(x)}{\partial y^n}
33:00 the answer is, it is not equal to the right hand side. In other words, this thing that I have called a tensor has not transformed as a tensor. If I insist that T_mn(x) are the x-components of a tensor then It is not true that the y-components of the tensor are just derivatives of the tensor with respect to y.
Not true.
Let's see what we can say. (Answering Question:
Just because the components of a vector may be constant doesn't mean it is the same in alll "frames of references" (coordinate systems?) If the x-coordinates are linear in the y-coordinates, then the term would be zero. It is because the relationship between the coordinates are varying from place to place. If they vary, then you get that extra term, and it's proportional to V with no derivative.
If T really transforms as a tensor, then you don't get the extra term. That suggests that we have to do something just a little bit different.
37:00 The right hand side is by definition T_mn(y). We forced it to transform in the right way. What we see is that it has this extra term over here. It's not just what you might have thought it was. Let's try to guess then, what the right way to differentiate tensors is. The right way must have an extra term to cancel this out. Let's give the extra term a name. capital gamma
\Gamma_{nm}^r
Here's what we have discovered. That if we want to differentiate a tensor we have to do something just a little bit trickier than just take the derivative of its components.
\frac{\partial V_m}{\partial y^n} +\Gamma_{nm}^r V_r
You have to take into account the fact that the coordinates are varying from point to point. Let's suppose (we're making a guess) that if we could find the right object gamma, we could do a new kind of derivative; a new kind of tensor which we could call T_mn. this process of differentiating is called covariant derivative. It is written with an upside down triangle (nabla)
T_{mn} = \nabla_n V_m = \frac{\partial V_m}{\partial y^n} +\Gamma_{nm}^r V_r
41:00 It's going to depend not only on the metric tensor, but on the derivatives of the metric tensor. If the metric tensor has derivatives (if the metric tensor is not constant) it means in some way the coordinates are flopping around. Is there an object which has the property that when we construct the covariant derivative what occurs is actually a tensor. that it really acts as a tensor and transforms as a tensor?
That will be a brilliant achievement, because then we'll be able to write equations such as the covariant derivative of a vector might be equal to some other tensor, maybe a completely different object
The lHS could be the derivative of an electric field. The RHS could be some other tensor of some other physical character
we might have a situation The covariant derivative of the electric field... is equal to some tensor
Will it be true in all reference frames? Yes, if the left-hand-side is a tensor and transforms as a tensor.
Can we find this Gamma
Will it be a tensor in all reference frames? yes if the LHS operates as a tensor and transforms as a tensor.l
It can happen that we might find a system that can't be described in cartesian coordinate system.
I'll give you the general rule (for things with lower components) Because the coordinates vary from place to place, there are contributions of this type for each one of the components.
At some point, I'm going to leave for you a bunch of algebra to work out.But I'll give you the rules.
What would happen if I wanted to make a covariant derivative of a tensor. Incidentally, the derivative of a scalar is just an ordinary derivative.
Let's take a tensor with two indexes, and supposing we want to take its covariant derivative with respect to y. I'll tell you what I want to change notation a little bit here.
T_{mp} = \nabla_p V_m = \frac{\partial V_m}{\partial y^p} +\Gamma_{pm}^r V_r
Same thing twice with extra index along for the ride.
\nabla_p T_{mn}=\frac{\partial T_mn}{\partial y^p}+ \Gamma_{pm}^r T_{rn}+ \Gamma_{pn}^r T_{mr}
For each index in the tensor, No matter how many of them there are, you get another term with the gamma, using just one of the indices, turning a blind eye to all the other indices.