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Grassmann Algebra

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Explor<strong>Grassmann</strong>Matrix<strong>Algebra</strong>.nb 29<br />

where As<br />

1<br />

Ab and As<br />

1<br />

, Xs , and Ls<br />

1<br />

1<br />

Ab � Xs<br />

1<br />

� As<br />

1<br />

� Xb � Xb � Ls<br />

1<br />

� Xs<br />

1<br />

� Lb<br />

13.10<br />

are the components of As , Xs , and Ls of grade 1. Here we know<br />

and have already solved for Xb and Lb , leaving just Xs<br />

1<br />

and Ls to be determined.<br />

1<br />

However, although this process would be helpful if trying to solve by hand, it is not<br />

necessary when using the Solve function in Mathematica.<br />

� <strong>Grassmann</strong>MatrixEigensystem<br />

The function implemented in <strong>Grassmann</strong><strong>Algebra</strong> for calculating the eigensystem of a matrix<br />

of <strong>Grassmann</strong> numbers is <strong>Grassmann</strong>MatrixEigensystem. It is capable of calculating the<br />

eigensystem only of matrices whose body has distinct eigenvalues.<br />

? <strong>Grassmann</strong>MatrixEigensystem<br />

<strong>Grassmann</strong>MatrixEigensystem�A� calculates a list comprising the<br />

matrix of eigenvectors and the diagonal matrix of eigenvalues<br />

for a <strong>Grassmann</strong> matrix A whose body has distinct eigenvalues.<br />

If the matrix does not have distinct eigenvalues, <strong>Grassmann</strong>MatrixEigensystem will<br />

return a message telling us. For example:<br />

A � ��2, x�, �y, 2��; MatrixForm�A�<br />

2 x<br />

�<br />

y 2 �<br />

<strong>Grassmann</strong>MatrixEigensystem�A�<br />

Eigenvalues ::notDistinct :<br />

The matrix ��2, x�, �y, 2�� does not have distinct scalar eigenvalues . The<br />

operation applies only to matrices with distinct scalar eigenvalues .<br />

<strong>Grassmann</strong>MatrixEigensystem���2, x�, �y, 2���<br />

If the matrix has distinct eigenvalues, a list of two matrices is returned. The first is the<br />

matrix of eigenvectors (whose columns have been normalized with an algorithm which tries<br />

to produce as simple a form as possible), and the second is the (diagonal) matrix of<br />

eigenvalues.<br />

2001 4 26

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