Proof of Trace Orthogonality Relation for Matrices $\Gamma^A$

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SUMMARY

The matrices {\Gamma^{A}} satisfy the trace orthogonality relation Tr(\Gamma^{A}\Gamma_{B})=2^{m}\delta^{A}_{B}. To demonstrate that a matrix M can be expressed as M=\sum_{A}m_{A}\Gamma^{A}, where m_{A}=\frac{1}{2^{m}}Tr(M\Gamma_{A}), one must verify that substituting the first equation into the second yields the correct result for m_{A}. This verification is not sufficient for a complete proof; a formal definition of the vector space and additional steps are necessary to establish that an arbitrary vector v belongs to the subspace spanned by the orthonormal set.

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I know that the matrices {\Gamma^{A}} obey the trace orthogonality relation Tr(\Gamma^{A}\Gamma_{B})=2^{m}\delta^{A}_{B}

In order to show that a matrix M can be expanded in the basis \Gamma^{A} in the following way

M=\sum_{A}m_{A}\Gamma^{A}
m_{A}=\frac{1}{2^{m}}Tr(M\Gamma_{A})

is it enough to just substitute the first equation for M in the second, and work out that the RHS is indeed equal to m_{A} (using the orthogonality), or is this just a mere verification, and not a proof?
 
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What you're proving there is that if a vector ##v## is in the subspace spanned by an orthonormal set ##\{e_i\}##, then ##v=\sum_i \langle e_i,v\rangle e_i##.

To prove that an arbitrary ##v## in your vector space is in the subspace spanned by that orthonormal set, you will have to do something else. You will have to write down a definition of that specific vector space, and then use it somehow.
 

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