Introduction to Geometric Algebra Lecture II
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1 Introduction to Geometric Algebra Lecture II Leandro A. F. Fernandes Manuel M. Oliveira Visgraf - Summer School in Computer Graphics CG UFRGS
2 Checkpoint Multivector space e.g., Basis for Scalars Vector Space Bivector Space Trivector Space Visgraf - Summer School in Computer Graphics
3 Checkpoint k-d oriented subspaces (or k-blades) as primitives Visgraf - Summer School in Computer Graphics
4 Checkpoint k-blades are built as the outer product of k vectors Visgraf - Summer School in Computer Graphics
5 Checkpoint k-blades are built as the outer product of k vectors the regressive product of n-k pseudovectors c Visgraf - Summer School in Computer Graphics
6 Checkpoint Properties of subspaces Attitude The equivalence class, for any Weight The value of in, where is a reference blade with the same attitude as Orientation Direction The sign of the weight relative to The combination of attitude and orientation Visgraf - Summer School in Computer Graphics
7 Checkpoint Multivector The weighted combination of basis elements of Step k-vector The weighted combination of basis elements of k-blade The outer product of k vector factors Grade Visgraf - Summer School in Computer Graphics
8 Today Lecture II Tue, January 12 Metric spaces Some inner products Dualization and undualization Visgraf - Summer School in Computer Graphics
9 Lecture II Metric and Some Inner Products Visgraf - Summer School in Computer Graphics
10 The inner product of vectors Geometric Meaning Measures the relation between vectors a and b b Bilinear Form A scalar-valued function of vectors, like in Linear Algebra It defines a metric on the vector space θ a ** Euclidean Metric Visgraf - Summer School in Computer Graphics
11 The inner product of vectors Geometric Meaning Measures the relation between vectors a and b Bilinear Form A scalar-valued function of vectors, like in Linear Algebra a b It defines a metric on the vector space Euclidean distance between points ** Non-Euclidean Metric! Visgraf - Summer School in Computer Graphics
12 Properties of the inner product of vectors Symmetry Scalars commute Distributivity Visgraf - Summer School in Computer Graphics
13 The metric matrix A practical way to implement the bilinear form Q Defines the inner product of pairs of basis vectors Visgraf - Summer School in Computer Graphics
14 The metric matrix A practical way to implement the bilinear form Q Defines the inner product of pairs of basis vectors Orthogonal 3-D Euclidean Metric b θ a Visgraf - Summer School in Computer Graphics
15 The scalar product All piecewise functions presented here are an abuse of notation. In practice, they are implicitly defined by the computation of the products. Geometric Meaning Extends the inner product of vectors to subspaces having the same dimensionality θ ** Euclidean Metric 15
16 Properties of the scalar product Symmetry Scalars commute Distributivity Backward compatible for 1-blades Visgraf - Summer School in Computer Graphics
17 Squared (reverse) norm of subspaces Important The norm is a metric property of subspaces, and it is conceptually different from weight Reverse ( pattern over k) ** Euclidean Metric 17
18 Inverse of blades The inverse of a blade is another blade with the same attitude, the inverse weight and, eventually, a different orientation Inverse Squared (reverse) norm Reverse ( pattern over k) Visgraf - Summer School in Computer Graphics
19 The left contraction Geometric Meaning Remove from the part that is like Visgraf - Summer School in Computer Graphics
20 Some observations The outcome of that is contained in represents a subspace The grade of is r - s Visgraf - Summer School in Computer Graphics
21 Some observations The outcome of subspace is perpendicular to the For a vector, having mean that is perpendicular to all vectors in Visgraf - Summer School in Computer Graphics
22 Properties of the left contraction Symmetry Scalars commute Distributivity The scalar product is a particular case of the left contraction Backward compatible for 1-blades Visgraf - Summer School in Computer Graphics
23 Orthogonal projection of blades Computing the orthogonal projection of a vector onto a 2-blade Visgraf - Summer School in Computer Graphics
24 Orthogonal projection of blades Step 1 Visgraf - Summer School in Computer Graphics
25 Orthogonal projection of blades Step 2 Warning The resulting vector has the same attitude of the intended result, but a different weight and orientation Visgraf - Summer School in Computer Graphics
26 Orthogonal projection of blades Step 2 By using the inverse of, one fixes the weight and orientation of the resulting vector Visgraf - Summer School in Computer Graphics
27 Orthogonal projection of blades The general case, i.e., in an arbitrary metric space Important The resulting blade has the same grade of the projected blade, so the input blades can not have orthogonal factors Visgraf - Summer School in Computer Graphics
28 Resulting Basis Basis orthogonalization Input T S is Basis the whole space ** Euclidean Metric 28
29 The right contraction Geometric Meaning Remove from the part that is like Visgraf - Summer School in Computer Graphics
30 Lecture II Dualization and Undualization Visgraf - Summer School in Computer Graphics
31 The notion of duality The complementary grade of a grade k is n-k Venn Diagrams Visgraf - Summer School in Computer Graphics
32 Taking the dual operation Unit Pseudoscalar Condition Venn Diagram Visgraf - Summer School in Computer Graphics
33 Dualization, step-by-step ** Euclidean Metric 33
34 Dualization, step-by-step ** Euclidean Metric 34
35 Dualization, step-by-step ** Euclidean Metric 35
36 Warning! The dual of the dual representation of a blade may not result in the direct representation of the blade does not hold in the general case The successive application of two dualization operations may change the orientation of the resulting blade Visgraf - Summer School in Computer Graphics
37 Taking the undual operation By taking the undual, the dual representation of a blade can be correctly mapped back to its direct representation Visgraf - Summer School in Computer Graphics
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