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Grassmann Algebra

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Explor<strong>Grassmann</strong>Matrix<strong>Algebra</strong>.nb 2<br />

13.6 Matrix Powers<br />

� Positive integer powers<br />

� Negative integer powers<br />

� Non-integer powers of matrices with distinct eigenvalues<br />

� Integer powers of matrices with distinct eigenvalues<br />

13.7 Matrix Inverses<br />

A formula for the matrix inverse<br />

� <strong>Grassmann</strong>MatrixInverse<br />

13.8 Matrix Equations<br />

� Two types of matrix equations<br />

� Solving matrix equations<br />

13.9 Matrix Eigensystems<br />

Exterior eigensystems of <strong>Grassmann</strong> matrices<br />

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

13.10 Matrix Functions<br />

Distinct eigenvalue matrix functions<br />

� <strong>Grassmann</strong>MatrixFunction<br />

� Exponentials and Logarithms<br />

� Trigonometric functions<br />

� Symbolic matrices<br />

� Symbolic functions<br />

13.11 Supermatrices<br />

To be completed<br />

13.1 Introduction<br />

This chapter introduces the concept of a matrix of <strong>Grassmann</strong> numbers, which we will call a<br />

<strong>Grassmann</strong> matrix. Wherever it makes sense, the operations discussed will work also for<br />

listed collections of the components of tensors of any order as per the Mathematica<br />

representation: a set of lists nested to a certain number of levels. Thus, for example, an<br />

operation may also work for vectors or a list containing only one element.<br />

We begin by discussing some quick methods for generating matrices of <strong>Grassmann</strong><br />

numbers, particularly matrices of symbolic <strong>Grassmann</strong> numbers, where it can become<br />

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