Geometric algebra Guide, Meaning , Facts, Information and Description
In mathematics, David Hestenes et al.'s geometric algebra [H1999] is a reinterpretation of Clifford algebras over the reals (said to be a return to the original name and interpretation intended by William Clifford). A book of the same title by Emil Artin covers the algebra associated with many different "geometries," including affine, projective, symplectic, and orthogonal.Here the real numbers are used as scalars in a vector space V. From now on, a vector is something in V itself.
The outer product (the exterior product, or the wedge product) is defined such that the graded algebra (exterior algebra of Hermann Grassmann) of multivectors is generated. The geometric algebra is the algebra generated by the geometric product (which is to be thought of as more fundamental) with (for all multivectors )
- Associativity
- Distributivity over the addition of multivectors: and
- Contraction for any "vector" (a grade-one element) is a scalar (real number)
The connection between Clifford algebras and quadratic forms come from the contraction property. This rule also gives the space a metric defined by the naturally derived inner product. It is to be noted that in geometric algebra in all its generality there is no restriction whatsoever on the value of the scalar, it can very well be negative, even zero (in that case, the possibility of an inner product is ruled out if you require ).
The usual dot product and cross product of traditional vector algebra (on ) find their places in geometric algebra as the inner product
A useful example is , and to generate , an instance of geometric algebra called spacetime algebra by Hestenes. The electromagnetic field tensor, in this context, becomes just a bivector where the imaginary unit is the volume element, giving an example of the geometric reinterpretation of the traditional "tricks".
Boosts in this Lorenzian metric space have the same expression as rotation in Euclidean space, where is of course the bivector generated by the time and the space directions involved, whereas in the Euclidean case it is the bivector generated by the two space directions, strengthening the "analogy" to almost identity.
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