.Decomposing a 4x4 Matrix into Dirac 16 Matrices

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SUMMARY

The discussion focuses on the decomposition of arbitrary 4x4 matrices into Dirac 16 matrices, specifically utilizing gamma matrices. It is established that not every 4x4 matrix can be expressed as a sum of gamma matrices, which adhere to the defining characteristic {gamma_m, gamma_n} = 2*g_mn. The conversation highlights the importance of understanding the basis formed by gamma matrices to represent the 16-dimensional vector space of 4x4 matrices, typically structured as a direct sum of subspaces with dimensions 1, 4, 6, 4, and 1.

PREREQUISITES
  • Understanding of gamma matrices and their properties
  • Familiarity with linear algebra concepts, particularly matrix decomposition
  • Knowledge of 4x4 matrix structures and dimensions
  • Basic grasp of vector spaces and direct sums
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  • Study the properties and applications of gamma matrices in quantum mechanics
  • Learn about matrix decomposition techniques in linear algebra
  • Explore the concept of direct sums in vector spaces
  • Investigate the role of Dirac matrices in theoretical physics
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This discussion is beneficial for physicists, mathematicians, and students engaged in quantum mechanics or advanced linear algebra, particularly those interested in matrix theory and its applications in theoretical frameworks.

Neitrino
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Dear All,

Could you pls remind me how do I decompose arbitrary 4x4 matrix into Dirac 16 matrices...

I ve forgotten.

Thank you
 
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If your unknown matrix is really a sum of gamma matrices you could try using the defining characteristic of the gamma matrices, {gamma_m,gamma_n}=2*g_mn. But not every 4x4 matrix is a sum of gamma matrices.
 
Dick said:
But not every 4x4 matrix is a sum of gamma matrices.

I don't know how to answer Neitrino's question, but I think Neitrino is asking about using the gamma matrices and their products to form a basis for the 16-dimensional vector space of 4x4 matrices. Usually, this space is written as a direct sum of subspaces of dimensions 1, 4, 6, 4, 1.
 

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