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Abstract

In many physical applications, a vector space has a natural “product”, i.e., a binary operation , which we call multiplication. The prime example of such a vector space is the vector space of matrices. It is therefore useful to consider vector spaces for which such a product exists.

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Notes

  1. 1.

    We shall, for the most part, abandon the Dirac bra-and-ket notation in this chapter due to its clumsiness; instead we use boldface roman letters to denote vectors.

  2. 2.

    It should be clear that the algebra of polynomials cannot be finite dimensional.

  3. 3.

    It is more common to use ϕ,ψ etc. instead of , etc. for linear maps of algebras.

  4. 4.

    In keeping with our notation, we use ι for the identity homomorphism of the algebra .

  5. 5.

    The reader is advised to show that \(\{\mathbf{f}_{i}\}_{i=1}^{4}\) is a linearly independent set of vectors.

  6. 6.

    The index p has no significance in the final answer because all the e pq with varying p but a fixed q generate the same matrices.

  7. 7.

    Recall that is the collection of products of elements in .

  8. 8.

    Note that is not the identity of . It satisfies only if .

  9. 9.

    Since \(\mathbb{C}\) is a subalgebra of \(\mathbb{H}\), the tensor product is actually redundant. However, in the classification of the Clifford algebras discussed later in the book, \(\mathbb{C}\) is sometimes explicitly factored out.

  10. 10.

    This is equivalent to replacing with , which is allowed by Theorem 3.2.7 and the non-uniqueness clause of Theorem 3.5.27.

  11. 11.

    A proof of the theorem can be found in Sect. 10.5.

References

  1. Benn, I.M., Tucker, R.W.: An Introduction to Spinors and Geometry with Applications in Physics. Adam Hilger, Bristol (1987)

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  2. Blyth, T.: Module Theory. Oxford University Press, Oxford (1990)

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Hassani, S. (2013). Algebras. In: Mathematical Physics. Springer, Cham. https://doi.org/10.1007/978-3-319-01195-0_3

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