Lorentz Algebra Vector Rep: How to Derive 4x4 Matrices?

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In summary, the Lorentz algebra in 4 dimensions can be represented by six 4x4 matrices, as shown on page 39, formula 3.18 of Peskin/Schroeder's book. These matrices can be used to map a 4-vector to a bispinor, and more generally can be used to map any representation of SO(3,1) to a representation of SU(2)\times SU(2). However, this explicit formula for the vector representation is not commonly explained in books, despite the fact that many books discuss the relationship between vectors, Dirac spinors, and tensors as direct sums or products of Weyl spinors. The new book Symmetries and the Standard
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Lapidus
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The vector representation of the Lorentz algebra in 4 dimensions can be very explicitly given by six 4x4 matrices. Peskin/Schroeder has it on page 39, formula 3.18, for example

But then a four-vector is also a tensor product of a left-handed and a right-handed Weyl spinor!

Knowing the Weyl spinor represenation of the Lorentz algebra, how do I arrive at these explicit matrices for the vector representation?

Strangely, no book explains that. Though, many make a lot of effort showing how vectors, Dirac spinors and tensors are direct sums and/ or products of Weyl spinors, they just give the explicit formula for the vector representation.
 
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You can map a 4-vector to a bispinor via

[tex] V^\mu \rightarrow V^\mu (\sigma_\mu)_{\alpha \dot{\alpha}}.[/tex]

More generally, you can use this to map any representation of [itex]SO(3,1)[/itex] to a representation of [itex]SU(2)\times SU(2)[/itex]. In principle you can work out the representations from one side to the other via

[tex] {\Lambda^\mu}_\nu V^\nu (\sigma_\mu)_{\alpha \dot{\alpha}} = {M_\alpha}^\beta V^\mu (\sigma_\mu)_{\beta \dot{\beta}} {M^{\dot{\beta}}}_{\dot{\alpha}}. [/tex]
 
  • #3
Thank fzero!

I saw that in Srednicki's book, too, but could not quite decipher what he means. But that's probably because I have not bothered yet to learn this funny dot notation...

Luckily I discovered that in this new book Symmetries and the Standard Model by Robinson, that there is a lovely section on Lorentz symmetry and all its representation. By the way the whole book is great!
 

1. What is the Lorentz Algebra Vector Rep?

The Lorentz Algebra Vector Rep is a mathematical representation of the Lorentz group, which describes the transformations of space and time in special relativity. It is used to derive 4x4 matrices that represent these transformations.

2. How is the Lorentz Algebra Vector Rep related to special relativity?

The Lorentz Algebra Vector Rep is closely related to special relativity because it describes the transformations that occur in space and time in this theory. It is used to derive the equations that govern the behavior of particles moving at high speeds.

3. What is the significance of 4x4 matrices in the Lorentz Algebra Vector Rep?

4x4 matrices are significant in the Lorentz Algebra Vector Rep because they allow for the representation of the full range of transformations in special relativity. These matrices are used to describe the rotation, boost, and scaling transformations that occur in space and time.

4. How are the 4x4 matrices derived from the Lorentz Algebra Vector Rep?

The 4x4 matrices are derived from the Lorentz Algebra Vector Rep using a mathematical process called matrix representation. This process involves converting the abstract algebraic equations of the Lorentz group into a concrete set of 4x4 matrices that can be used in calculations and applications.

5. What are some applications of the Lorentz Algebra Vector Rep and 4x4 matrices?

The Lorentz Algebra Vector Rep and 4x4 matrices have many applications in physics, particularly in special relativity and particle physics. They are used to calculate the behavior of particles at high speeds, as well as in the development of theories and models in modern physics.

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