Can anybody confirm the following Feynman slash identity?

In summary: Since x and y are orthogonal, the second term of the second equation is zero. Thus, the equation becomes -x^2y^2. This is a scalar because x, y = complex vectors.
  • #1
moss
49
2
I want to compute the following when the 4-vectors are already given i.e [tex]x^{\mu},y^{\mu}[/tex] are given and are orthonormal ( x, y are complex vectors);

\begin{eqnarray}

\left(/\negmedspace\negmedspace x/\negmedspace\negmedspace y\right)^{2} & = & /\negmedspace\negmedspace x/\negmedspace\negmedspace y/\negmedspace\negmedspace x/\negmedspace\negmedspace y\\

& = & -/\negmedspace\negmedspace x/\negmedspace\negmedspace y/\negmedspace\negmedspace y/\negmedspace\negmedspace x\\

& = & -/\negmedspace\negmedspace x/\negmedspace\negmedspace x\\

& = & -1\\

\Rightarrow/\negmedspace\negmedspace x/\negmedspace\negmedspace y & = & i

\end{eqnarray}

Is the above computation right?
I only want to compute the last equation and want to confirm the above.
 
Last edited:
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  • #2
Apart from the typo in the first line, you've shown that ##({\not x}{\not y})^2 = - I_4##, the identity matrix. However, you cannot conclude that ##{\not x}{\not y} = i I_4## from this, since there are an infinite number of matrices ##M## that satisfy ##M^2 = - I_4##.

I don't think ##{\not x}{\not y} ## simplifies very much, though it's trace does.
 
  • #3
fzero said:
Apart from the typo in the first line, you've shown that ##({\not x}{\not y})^2 = - I_4##, the identity matrix. However, you cannot conclude that ##{\not x}{\not y} = i I_4## from this, since there are an infinite number of matrices ##M## that satisfy ##M^2 = - I_4##.

I don't think ##{\not x}{\not y} ## simplifies very much, though it's trace does.
I have corrected the typo.
Lets say that I don't know the square of x and y and that x.x =x^2 and y.y = y^2.
I use the fact that a-slash x a-slash = a^2. what would I get by the above computation?
 
  • #4
moss said:
I have corrected the typo.
Lets say that I don't know the square of x and y and that x.x =x^2 and y.y = y^2.
I use the fact that a-slash x a-slash = a^2. what would I get by the above computation?

From the anticommutation rule for Dirac matrices we have
$${\not x}{\not y} + {\not y}{\not x} = 2 x\cdot y I_4,$$
so
$$ ({\not x}{\not y})^2 = - x^2 y^2 I_4+ 2 (x\cdot y) {\not x}{\not y}.$$
Since ##{\not x}{\not y}## doesn't simplify further, we can't do much more with this. However, we can always compute ##{\not x}{\not y}## in a chosen basis of Dirac matrices. Perhaps that would be useful to you.
 
  • #5
fzero said:
From the anticommutation rule for Dirac matrices we have
$${\not x}{\not y} + {\not y}{\not x} = 2 x\cdot y I_4,$$
so
$$ ({\not x}{\not y})^2 = - x^2 y^2 I_4+ 2 (x\cdot y) {\not x}{\not y}.$$
Since ##{\not x}{\not y}## doesn't simplify further, we can't do much more with this. However, we can always compute ##{\not x}{\not y}## in a chosen basis of Dirac matrices. Perhaps that would be useful to you.
Thanks, I also though to compute explicitly with the Dirac matrices but I though to try some shortcut.
I will update this thread after the explicit try.
 
  • #6
fzero said:
From the anticommutation rule for Dirac matrices we have
$${\not x}{\not y} + {\not y}{\not x} = 2 x\cdot y I_4,$$
so
$$ ({\not x}{\not y})^2 = - x^2 y^2 I_4+ 2 (x\cdot y) {\not x}{\not y}.$$
Since ##{\not x}{\not y}## doesn't simplify further, we can't do much more with this. However, we can always compute ##{\not x}{\not y}## in a chosen basis of Dirac matrices. Perhaps that would be useful to you.

Okay, I have done the explicit calculation and its a single very long scalar term. I don't get why are you writing the identity matrix? product of 2 slashes will give a scalar.

Now about your 2nd eq. above, let's say x & y are orthogonal so the 2nd term of the 2nd eq. is zero. One is then left with -x^2y^2 and its a scalar since x, y = vectors. Now if you further impose the condition of x^2 = 1 and y^2=1 then here you go...your 2nd eq. will then give ' i '.

In my original qs. i stated that x and y are orthonormal and if you use the orthonormality then your quoted eq. will also give ' i '.
This identity in my original qs. is okay so far because it save a lot of computation. My idea is only valid if one knows the vectors x & y .

Thanks to you because with your argument I came to the right conclusion.
 
  • #7
moss said:
Okay, I have done the explicit calculation and its a single very long scalar term. I don't get why are you writing the identity matrix? product of 2 slashes will give a scalar.

By definition, ##{\not x} = x^\mu \gamma_\mu##. Since ##\gamma_\mu## are matrices, this expression is a matrix ##({\not x})_{ab} = x^\mu (\gamma_\mu)_{ab}##. We can take products as much as we want, but we have to take matrix products and get matrices back out. It is possible to get a scalar by taking a trace or determinant and sometimes there are nice identities for those.

Now about your 2nd eq. above, let's say x & y are orthogonal so the 2nd term of the 2nd eq. is zero. One is then left with -x^2y^2 and its a scalar since x, y = vectors. Now if you further impose the condition of x^2 = 1 and y^2=1 then here you go...your 2nd eq. will then give ' i '.

In my original qs. i stated that x and y are orthonormal and if you use the orthonormality then your quoted eq. will also give ' i '.
This identity in my original qs. is okay so far because it save a lot of computation. My idea is only valid if one knows the vectors x & y .

Thanks to you because with your argument I came to the right conclusion.

Your identity is incorrect for the same reason I gave originally. I would suggest trying to compute it explicitly if you are still having trouble seeing why.
 
  • #8
fzero said:
By definition, ##{\not x} = x^\mu \gamma_\mu##. Since ##\gamma_\mu## are matrices, this expression is a matrix ##({\not x})_{ab} = x^\mu (\gamma_\mu)_{ab}##. We can take products as much as we want, but we have to take matrix products and get matrices back out. It is possible to get a scalar by taking a trace or determinant and sometimes there are nice identities for those.
Your identity is incorrect for the same reason I gave originally. I would suggest trying to compute it explicitly if you are still having trouble seeing why.

Dear fzero, its not only my identity but according to your 2nd eq. above, my original suggestion is correct. why its correct? it is correct because I know the vectors x & y and I know that they are orthonormal. I just used your 2nd relation and that's it.

I still have to check why you have that identity matrix? maybe because the metric tensor is accompanied with it.
 
Last edited:
  • #9
moss said:
Dear fzero, its not only my identity but according to your 2nd eq. above, my original suggestion is correct. why its correct? it is correct because I know the vectors x & y and I know that they are orthonormal. I just used your 2nd relation and that's it.

I still have to check why you have that identity matrix? maybe because the metric tensor is accompanied with it.

Yes, there is an identity matrix assumed in the commutation relation for Dirac matrices:
$$(\{\gamma^\mu,\gamma^\nu\})_{ab} = 2 \eta^{\mu\nu} (I_4)_{ab}.$$
See e.g., wikipedia.
 

1. What is the Feynman slash identity?

The Feynman slash identity, also known as the Feynman slash notation or Dirac slash notation, is a mathematical notation used in quantum field theory to represent the Dirac equation. It involves using a slash through a variable to indicate that it is being multiplied by the Dirac gamma matrices.

2. Who came up with the Feynman slash identity?

The Feynman slash identity was developed by American physicist Richard Feynman in the 1940s. He used it in his work on quantum electrodynamics, for which he won the Nobel Prize in Physics in 1965.

3. How is the Feynman slash identity used in quantum field theory?

In quantum field theory, the Feynman slash identity is used to represent the Dirac equation, which describes the behavior of fermions such as electrons, protons, and neutrons. It is also used in Feynman diagrams, which are graphical representations of mathematical expressions used to calculate the probability of particle interactions.

4. What is the significance of the Feynman slash identity in physics?

The Feynman slash identity is significant in physics because it allows for the representation and manipulation of complex equations involving the Dirac gamma matrices. It is essential in the study of quantum field theory, which is fundamental to our understanding of the behavior of subatomic particles and the structure of the universe.

5. Can the Feynman slash identity be applied to other areas of physics?

Yes, the Feynman slash identity can be applied to other areas of physics, such as quantum mechanics and particle physics. It is a versatile notation that is widely used in theoretical physics to represent and simplify complex equations involving the Dirac equation. It has also been applied to other fields, such as condensed matter physics and string theory.

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