Algebra - Clifford, Dirac, Lorentz

In summary, there is a distinction between the Clifford algebra and Dirac algebra, with the latter being a specific case of the former. This has implications in the representation of Lorentz transformations, where the Dirac matrices are used to obtain the spinor representation. However, the Pauli Algebra or "Algebra of Physical Space" can also be used for this purpose in the context of special relativity. While the Dirac algebra can be used for writing the Dirac equation, it is not essential for understanding Lorentz transformations in spinor or four-vector space.
  • #1
spaghetti3451
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In the representation theory of Lorentz transformations, the words Clifford algebra and Dirac algebra are used interchangeably. However, there is a distinction between the two. Indeed, the Dirac algebra is the particular Clifford algebra ##Cl_{4}({\bf{C}})\equiv Cl_{1,3}({\bf{C}})## with a basis generated by the matrices ##\gamma^{\mu}## called Dirac matrices which have the property that ##\{\gamma^{\mu},\gamma^{\nu}\}=2g^{\mu\nu}##.

On the other hand, the spinor representation of the Lorentz algebra can be obtained using the Dirac matrices which obey the Dirac algebra. The above is a qualitative picture of the key difference between the Clifford algebra, Dirac algebra and the Lorentz algebra.

Can someone please flesh out the mathematical details?
 
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  • #2
I think that's enough for a whole book. You can certainly find out more by Googling.

Lorentz transformations in spinor space and in four-vector space only require the Pauli Algebra or "Algebra of Physical Space", not the Dirac Algebra. David Hestenes wrote a book "Space-Time Algebra" in which he used the Dirac matrices as the basis for spacetime, but it seems that the only case in which this was actually useful was in a different way of writing the Dirac equation itself. Special Relativity can be described perfectly well using a vector algebra that is equivalent to the Pauli Algebra, which I usually call informally "Complex Four-vector Algebra" to make it easy to understand, and which William Baylis calls the "Algebra of Physical Space", for example in his book "Electrodynamics: A Modern Geometric Approach". It is also possible to write the Dirac equation in the Algebra of Physical Space (Pauli Algebra) rather than the full Dirac algebra.
 

1. What is Algebra - Clifford, Dirac, Lorentz?

Algebra - Clifford, Dirac, Lorentz is a branch of mathematics that studies the properties and operations of algebras that arise in the context of Clifford algebras, Dirac algebras, and Lorentz algebras. These algebras are used in physics to describe geometric and physical phenomena such as rotations, reflections, and transformations.

2. What is the significance of Clifford, Dirac, and Lorentz algebras in physics?

Clifford, Dirac, and Lorentz algebras are important in physics because they provide a mathematical framework for describing and understanding the behavior of physical systems in a geometric and algebraic way. They are used in areas such as quantum mechanics, relativity, and particle physics.

3. What are the key differences between Clifford, Dirac, and Lorentz algebras?

Clifford algebras are based on the concept of geometric algebra, where elements are represented by vectors and multivectors. Dirac algebras are a type of Clifford algebra that incorporates the concept of spin and is used in quantum mechanics. Lorentz algebras are a type of Clifford algebra that describes the symmetry of spacetime in special relativity.

4. How do these algebras relate to each other?

All three algebras are related through the concept of spinors, which are mathematical objects used to represent rotations and transformations. Clifford algebras contain both Dirac and Lorentz algebras as subalgebras, while Dirac and Lorentz algebras are related through the concept of spin.

5. What are some real-world applications of Algebra - Clifford, Dirac, Lorentz?

Aside from its significance in theoretical physics, these algebras have practical applications in fields such as computer graphics, robotics, and control systems. They are also used in engineering, particularly in the design of antennas and signal processing systems.

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