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Grassmann Algebra

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TheInteriorProduct.nb 4<br />

An alternative definition<br />

The definition 6.1 above is chosen rather than<br />

�����<br />

Α � Βk (k ³ m) as a possible alternative since,<br />

m<br />

given the way in which the complement has been defined earlier, only the proposed definition<br />

leads to the interior product of an m-element with itself in Euclidean space (gij �∆ij ) being<br />

invariably positive, independent of the grade of the element or the dimension of the space. We<br />

can see this from equation 5.69 in the last chapter. Instead of ei � 1, we would have<br />

rather ei<br />

m<br />

���� ei<br />

m<br />

Historical Note<br />

� ��1� m��n�m� .<br />

<strong>Grassmann</strong> and workers in the <strong>Grassmann</strong>ian tradition define the interior product of two<br />

elements as the product of one with the complement of the other, the product being either<br />

exterior or regressive depending on which interpretation produces a non-zero result.<br />

Furthermore, when the grades of the elements are equal, it is defined either way. This definition<br />

involves the confusion between scalars and n-elements discussed in Chapter 5, Section 5.1<br />

(equivalent to assuming a Euclidean metric and identifying scalars with pseudo-scalars). It is to<br />

obviate this inconsistency and restriction on generality that the approach adopted here bases its<br />

definition of the interior product explicitly on the regressive exterior product.<br />

Implications of the regressive product axioms<br />

By expressing one or more elements as a complement, the relations of the regressive product<br />

axiom set may be rewritten in terms of the interior product, thus yielding some of its more<br />

fundamental properties.<br />

m<br />

���� ei<br />

m<br />

� ���� 6: The interior product of an m-element and a k-element is an (mÐk)-element.<br />

The grade of the interior product of two elements is the difference of their grades.<br />

Α m �� m , Β k<br />

�� k � Α m ���� Β k<br />

� �<br />

m�k<br />

Thus, in contradistinction to the regressive product, the grade of an interior product does not<br />

depend on the dimension of the underlying linear space.<br />

If the grade of the first factor is less than that of the second, the interior product is zero.<br />

2001 4 5<br />

Α m ���� Β k<br />

� 0 m � k<br />

6.3<br />

6.4

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