QFT (derivative the covariant and contravariant fields)

In summary, using dummy variables for summation allows you to simplify the calculation of the ith partial derivative of a function by ignoring the contributions from factors where the alpha is not 1.
  • #1
aams
7
0
Hi,
please help me ..

How can I derivative covariant and contravariant fields?

as in the attached picture

Thanks..

[PLAIN]http://www.gulfup.com/?tNXcaN [/PLAIN]

w.r.t alpha
 
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  • #2
Usually what's meant by the symbols is
[tex]\partial_{\alpha}=\frac{\partial}{\partial x^{\alpha}}.[/tex]
It's important to keep in mind that the derivative with respect to contravariant vector components (upper indices) gives gives an operator that transforms like a covariant component (lower indices). This is, of course, only true in flat space-time!
 
  • #3
vanhees71 said:
Usually what's meant by the symbols is
It's important to keep in mind that the derivative with respect to contravariant vector components (upper indices) gives gives an operator that transforms like a covariant component (lower indices). This is, of course, only true in flat space-time!


thanks vanhees71
I know that, but i ask can me consider these vectors as two multiplied functions (quadratic ∂ ø) and derivative becomes 2 ∂αø?
 
  • #5
aams said:
thanks vanhees71
I know that, but i ask can me consider these vectors as two multiplied functions (quadratic ∂ ø) and derivative becomes 2 ∂αø?
You have to use the product rule for derivatives. I would also like to suggest that since the alphas in the first factor are dummy variables, you change those two to ##\gamma## before you begin taking the derivative with respect to ##\phi^\alpha##. Either that, or write out exactly what the notation ##\partial_\alpha\phi^\alpha\partial_\beta\phi^\beta## means before you start.
 
  • #6
Fredrik said:
You have to use the product rule for derivatives. I would also like to suggest that since the alphas in the first factor are dummy variables, you change those two to ##\gamma## before you begin taking the derivative with respect to ##\phi^\alpha##. Either that, or write out exactly what the notation ##\partial_\alpha\phi^\alpha\partial_\beta\phi^\beta## means before you start.


aah, thanks Fredrik. please just tell me the steps for method to choose the dummy variables. why must be using it? what is the idea of choose it? and how can me use the dummy variables?!
 
  • #7
I don't want to do the problem for you, but I'll do another one that illustrates the idea. Suppose that you're asked to compute the ith partial derivative of the function ##f:\mathbb R^3\to\mathbb R^3## defined by ##f(\mathbf x)=|\mathbf{x}|^2## for all ##\mathbf x\in\mathbb R^3##, would you know how? Sure you do. (If not, you will have to open up a calculus books and study partial derivatives again). I'll use the notation ##\mathbf x=(x_1,x_2,x_3)##.
\begin{align}
\frac{\partial f(\mathbf x)}{\partial x_i} &=\frac{\partial}{\partial x_i}|\mathbf x|^2 =\frac{\partial}{\partial x_i} \sum_{j=1}^3 x_j x_j = \frac{\partial}{\partial x_i} \left( x_1{}^2+x_2{}^2+x_3{}^2\right)\\
&=\frac{\partial}{\partial x_i}x_1{}^2 + \frac{\partial}{\partial x_i}x_2{}^2 + \frac{\partial}{\partial x_i}x_3{}^2.
\end{align}
If for example i=1, then the last two terms are obviously zero, and the first one is
$$\frac{\partial}{\partial x_1}x_1{}^2=2x_1.$$ If i=2 instead, you get the result ##2x_2## in a similar way, and if i=3, you end up with ##2x_3##. So regardless of what i is, you end up with ##2x_i##. This means that for all ##i\in\{1,2,3\}##, we have
$$\frac{\partial f(\mathbf x)}{\partial x_i}=2x_i.$$ That wasn't so hard, was it? You will find that your example isn't any harder, if you just do the summation explicitly the way I did here. The only difficulty in your problem is that the notation makes it hard to see that your problem is essentially the same as this one.

If we use a Kronecker delta (##\delta_{ij}## is 1 when i=j and 0 when i≠j), we can do the calculation without doing the summation explicitly (as I did in the last equality on the first line).
$$\frac{\partial}{\partial x_i} \sum_{j=1}^3 x_j x_j = \sum_{j=1}^3 \frac{\partial}{\partial x_i}\left(x_j x_j\right) =\sum_{j=1}^3 \left(\left(\frac{\partial}{\partial x_i}x_j\right)x_j + x_j\left( \frac{\partial}{\partial x_i}x_j\right)\right) =\sum_{j=1}^3 \left(\delta_{ij}x_j +x_j\delta_{ij}\right) =\sum_{j=1}^3 2\delta_{ij}x_j =2x_i.$$ When you use the summation convention, you can drop all the summation sigmas. What I'm saying is that when you do, it's going to be confusing if the dummy variable used for summation is the same symbol as the (not dummy) variable that indicates which partial derivative you're interested in.
 
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  • #8
thank you very much .. I'm understand ,but the last question, is not to need conversion between contra and covariant ..? How does contra and covariant affect the differentiation?
 
  • #9
sorry, I mean you explain where (x sub i) what about upper indices? what is the difference?!

http://www.gulfup.com/?dSTVRF
??!
 
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  • #10
I used an example where the indices would cause as little confusion as possible, because I wanted you to see that the only thing you're supposed to do is to take partial derivatives of a multiple-variable polynomial. This is something you already know how to do. If the notation confuses you, then you should rewrite the expression in a way that doesn't confuse you. In particular, if you're asked to evaluate something like ##\frac{\partial}{\partial x^\alpha}\left(x_\beta x^\beta\right)##, and you don't immediately see how, you can rewrite it like this:
$$\frac{\partial}{\partial x^\alpha}\left(x_\beta x^\beta\right) = \frac{\partial}{\partial x^\alpha}\left(g_{\beta\gamma} x^\gamma x^\beta\right) = \frac{\partial}{\partial x^\alpha}\left(g_{00}x^0 x^0 +g_{11}x^1x^1 +g_{22}x^2x^2 + g_{33}x^3x^3\right).$$
Edit: Also, don't write things like ##\frac{\partial}{\partial x^\alpha}\left(x_\alpha x^\alpha\right)##. This expression doesn't make sense, since the summation convention is defined only for indices that occur exactly twice. If you're asked to apply ##\frac{\partial}{\partial x^\alpha}## to ##x_\alpha x^\alpha##, you have to realize that the alphas in ##x_\alpha x^\alpha## are just there to tell you that you're dealing with the sum ##x_0x^0+x_1x^1+x_2x^2+x_3x^3##, which can also be written as ##x_\beta x^\beta##. So what you actually write down is ##\frac{\partial}{\partial x^\alpha}\left(x_\beta x^\beta\right)##.
 
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  • #11
yess! I'm understand.
I am grateful to you
thanx Fredrik!
 

1. What is QFT (derivative of the covariant and contravariant fields)?

QFT, or Quantum Field Theory, is a theoretical framework that combines the principles of quantum mechanics and special relativity to describe the behavior of particles in terms of fields. The derivative of the covariant and contravariant fields refers to the mathematical concept of taking the derivative of these fields with respect to space and time.

2. How do covariant and contravariant fields differ in QFT?

In QFT, covariant fields are represented by tensors that transform in a specific way under changes in coordinates, while contravariant fields are represented by tensors that transform in the opposite way. This difference in transformation behavior allows for a consistent description of physical laws in different reference frames.

3. Why are covariant and contravariant fields important in QFT?

Covariant and contravariant fields are important in QFT because they allow for the consistent formulation of physical laws in different reference frames. This is crucial in relativistic theories, where the laws of physics must be the same for all observers regardless of their relative motion.

4. How are the covariant and contravariant fields related to each other?

In QFT, the covariant and contravariant fields are related by a mathematical operation called raising and lowering indices. This operation involves using the metric tensor to convert a covariant field into a contravariant one or vice versa.

5. What are some applications of QFT and its derivative of covariant and contravariant fields?

QFT and its derivative of covariant and contravariant fields have many applications in physics, including in the Standard Model of particle physics, where it is used to describe the behavior of subatomic particles. It is also important in understanding phenomena such as quantum electrodynamics, quantum chromodynamics, and the Higgs mechanism.

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