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Grassmann Algebra

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TheExteriorProduct.nb 2<br />

� Calculation of determinants using minors and cofactors<br />

Transformations of cobases<br />

2.9 Solution of Linear Equations<br />

<strong>Grassmann</strong>'s approach to solving linear equations<br />

� Example solution<br />

2.10 Simplicity<br />

The concept of simplicity<br />

All (nÐ1)-elements are simple<br />

� Conditions for simplicity of a 2-element in a 4-space<br />

� Conditions for simplicity of a 2-element in a 5-space<br />

2.11 Exterior division<br />

The definition of an exterior quotient<br />

Division by a 1-element<br />

Division by a k-element<br />

2.1 Introduction<br />

The exterior product is the natural fundamental product operation for elements of a linear space.<br />

Although it is not a closed operation (that is, the product of two elements is not itself an element<br />

of the same linear space), the products it generates form a series of new linear spaces, the<br />

totality of which can be used to define a true algebra, which is closed.<br />

The exterior product is naturally and fundamentally connected with the notion of linear<br />

dependence. Several 1-elements are linearly dependent if and only if their exterior product is<br />

zero. All the properties of determinants flow naturally from the simple axioms of the exterior<br />

product. The notion of 'exterior' is equivalent to the notion of linear independence, since<br />

elements which are truly exterior to one another (that is, not lying in the same space) will have a<br />

non-zero product. This product has a straightforward geometric interpretation as the multidimensional<br />

equivalent to the 1-elements from which it is constructed. And if the space<br />

possesses a metric, its measure or magnitude may be interpreted as a length, area, volume, or<br />

hyper-volume according to the grade of the product.<br />

However, the exterior product does not require the linear space to possess a metric. This is in<br />

direct contrast to the three-dimensional vector calculus in which the vector (or cross) product<br />

does require a metric, since it is defined as the vector orthogonal to its two factors, and<br />

orthogonality is a metric concept. Some of the results which use the cross product can equally<br />

well be cast in terms of the exterior product, thus avoiding unnecessary assumptions.<br />

We start the chapter with an informal discussion of the exterior product, and then collect the<br />

axioms for exterior linear spaces together more formally into a set of 12 axioms which combine<br />

those of the underlying field and underlying linear space with the specific properties of the<br />

exterior product. In later chapters we will derive equivalent sets for the regressive and interior<br />

products, to which we will often refer.<br />

Next, we pin down the linear space notions that we have introduced axiomatically by<br />

introducing a basis onto the primary linear space and showing how this can induce a basis onto<br />

each of the other linear spaces generated by the exterior product. A constantly useful partner to<br />

a basis element of any of these exterior linear spaces is its cobasis element. The exterior product<br />

2001 4 5

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