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Grassmann Algebra

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TheComplement.nb 32<br />

hence can be factored into the exterior product of two vectors. It is in this form that the bivector<br />

will be most easily interpreted as a geometric entity. There is an infinity of vectors that are<br />

orthogonal to the vector x, but they are all contained in the bivector x<br />

����� .<br />

We can use the <strong>Grassmann</strong><strong>Algebra</strong> function FindFactoredForm discussed in Chapter 3 to<br />

give us one possible factorization.<br />

FindFactoredForm�a e2 � e3 � be1 � e3 � ce1 � e2�<br />

�c e2 � be3����ce1 � ae3�<br />

�������������������������������� �����������������������������������<br />

c<br />

The first factor is a vector in the e2 � e3 coordinate bivector, while the second is in the e1 � e3<br />

coordinate bivector.<br />

Graphic of x showing its orthogonality to each of c e2 � be3 , and �c e1 � ae3 .<br />

The complements of each of these vectors will be bivectors which contain the original vector x.<br />

We can verify this easily with <strong>Grassmann</strong>Simplify.<br />

�������������������<br />

����c e2 � be3���ae1<br />

� be2 � ce3�,<br />

����������������������<br />

��c e1 � ae3���ae1<br />

� be2 � ce3���<br />

�0, 0�<br />

5.10 Complements in a vector subspace of a multiplane<br />

Metrics in a multiplane<br />

If we want to interpret one element of a linear space as an origin point, we need to consider<br />

which forms of metric make sense, or are useful in some degree. We have seen above that a<br />

Euclidean metric makes sense both in vector spaces (as we expected) but also in the plane where<br />

one basis element is interpreted as the origin point and the other two as basis vectors.<br />

More general metrics make sense in vector spaces, because the entities all have the same<br />

interpretation. This leads us to consider hybrid metrics on n-planes in which the vector subspace<br />

has a general metric but the origin is orthogonal to all vectors. We can therefore adopt a<br />

Euclidean metric for the origin, and a more general metric for the vector subspace.<br />

� 1 0 � 0<br />

������������<br />

�������������<br />

0 g11 � g1�n<br />

Gij �<br />

� � � �<br />

� 0 gn1 � gnn �<br />

These hybrid metrics will be useful later when we discuss screw algebra in Chapter 7 and<br />

Mechanics in Chapter 8. Of course the permitted transformations on a space with such a metric<br />

must be restricted to those which maintain the orthogonality of the origin point to the vector<br />

subspace.<br />

2001 4 5<br />

5.33

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