In this chapter the following topics are considered: (1) the eigenvalue problem; (2) a functional equation for square matrices, and (3) the Berezinian for matrices with linearly dependent matrix elements. We find (1) If the ordinary part of a supermatrix is not degenerate, then it can be diagonalized by a similarity transformation. If it is degenerate, then even if it is hermitian, it can normally not be diagonalized. However, superreal hermitian matrices have two-fold degenerate eigenvalues in the fermionic sector. If this is the only degeneracy, then diagonalization is possible. (2) A differentiable function F of a square matrix obeying the functional equation F.A/F.B/ D F.AB/ vanishes identically, or is a power of the superdeterminant. (3) The Berezinian of matrices with linearly dependent matrix elements is determined.
CITATION STYLE
More on matrices. (2016). In Lecture Notes in Physics (Vol. 920, pp. 171–179). Springer Verlag. https://doi.org/10.1007/978-3-662-49170-6_17
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