Mathematical Background

This section provides the mathematical foundations for understanding Clifford algebras and their implementation in CliffordAlgebras.jl.

What is a Clifford Algebra?

A Clifford algebra, also known as a geometric algebra, is an associative algebra that extends the concept of complex numbers to higher dimensions while preserving the geometric interpretation of multiplication.

Formal Definition

Given a vector space V over the real numbers ℝ with a symmetric bilinear form Q (quadratic form), the Clifford algebra Cl(V,Q) is the quotient of the tensor algebra T(V) by the two-sided ideal I generated by elements of the form:

v ⊗ v - Q(v,v) · 1

for all v ∈ V.

Signature Notation

A Clifford algebra is often denoted by its signature (p,q,r) where:

  • p = number of basis vectors that square to +1
  • q = number of basis vectors that square to -1
  • r = number of basis vectors that square to 0

The total dimension of the underlying vector space is n = p + q + r.

The Clifford Relation

The fundamental relation in a Clifford algebra is:

eᵢeⱼ + eⱼeᵢ = 2ηᵢⱼ

where ηᵢⱼ is the metric tensor. For orthonormal basis vectors:

  • eᵢ² = +1 if i ≤ p (positive signature)
  • eᵢ² = -1 if p < i ≤ p+q (negative signature)
  • eᵢ² = 0 if i > p+q (null signature)

Multivectors and Grades

Grade Structure

A general element (multivector) in Cl(p,q,r) can be decomposed by grade:

M = M₀ + M₁ + M₂ + ... + Mₙ

where Mₖ contains only k-vectors (elements of grade k).

  • Grade 0: Scalars
  • Grade 1: Vectors
  • Grade 2: Bivectors (oriented areas)
  • Grade 3: Trivectors (oriented volumes)
  • Grade n: Pseudoscalars

Basis Elements

For an n-dimensional space, there are 2ⁿ basis elements:

  • 1 scalar: 1
  • (n choose 1) vectors: eᵢ
  • (n choose 2) bivectors: eᵢeⱼ (i < j)
  • ...
  • 1 pseudoscalar: e₁e₂...eₙ

Example: Cl(2,0,0)

In 2D Euclidean space:

  • Basis: {1, e₁, e₂, e₁e₂}
  • Relations: e₁² = e₂² = 1, e₁e₂ = -e₂e₁

Products in Clifford Algebra

Geometric Product

The geometric product is the fundamental operation, combining the inner and outer products:

ab = a·b + a∧b

Properties:

  • Associative: (ab)c = a(bc)
  • Distributive: a(b+c) = ab + ac
  • Generally non-commutative

Exterior Product (Wedge Product)

The exterior product a∧b creates higher-grade elements:

a∧b = ½(ab - ba)

Properties:

  • Anti-commutative: a∧b = -b∧a
  • Associative: (a∧b)∧c = a∧(b∧c)
  • a∧a = 0

Interior Product (Contraction)

Several types of contraction exist:

Left Contraction (⨼)

a⨼b = Σₖ ⟨ab⟩ₖ₋ᵢ where a has grade i

Right Contraction (⨽)

a⨽b = Σₖ ⟨ab⟩ⱼ₋ₖ where b has grade j

Fat Dot Product (⋅)

a⋅b = Σₖ ⟨ab⟩|ᵢ₋ⱼ| 

Scalar Product (⋆)

a⋆b = ⟨ab⟩₀ (grade 0 part only)

Involutions and Operations

Grade Involution

α̃ = Σₖ (-1)ᵏ ⟨α⟩ₖ

Reverse (Reversion)

α† = Σₖ (-1)^(k(k-1)/2) ⟨α⟩ₖ

Clifford Conjugation

α̅ = Σₖ (-1)^(k(k+1)/2) ⟨α⟩ₖ

Duality

The Hodge dual with respect to the pseudoscalar I:

*α = αI⁻¹

Exponential and Logarithm

Exponential of Bivectors

For a bivector B, the exponential gives:

e^B = cos(|B|) + (B/|B|)sin(|B|)

This formula generates rotations (for positive signature) or hyperbolic rotations (for mixed signature).

Rotor Representation

A rotor R = e^(B/2) represents a rotation by angle |B| in the plane defined by B. The rotation is applied via:

v' = RvR†

Common Clifford Algebras

Cl(2,0,0) - 2D Euclidean

  • Used for 2D rotations and complex numbers
  • Isomorphic to ℝ + ℝ² (scalar + vector)

Cl(3,0,0) - 3D Euclidean

  • Standard 3D vector algebra with cross product
  • Quaternions live in the even subalgebra

Cl(1,3,0) - Spacetime Algebra

  • Used in relativistic physics
  • Signature matches Minkowski spacetime

Cl(3,0,1) - Projective Geometric Algebra (PGA)

  • Ideal for computer graphics and robotics
  • Includes points at infinity naturally

Cl(4,1,0) - Conformal Geometric Algebra (CGA)

  • Unified treatment of Euclidean geometry
  • Circles, spheres, and transformations

Implementation Notes

Sparse Representation

CliffordAlgebras.jl uses sparse representation, storing only non-zero coefficients. This is crucial for efficiency in high-dimensional algebras where most coefficients are typically zero.

Generated Functions

The package uses @generated functions to create specialized code for each algebra type at compile time, ensuring optimal performance.

Type Stability

Most operations maintain type stability, meaning the return type can be inferred at compile time, leading to efficient machine code generation.

References

  1. Doran, C. & Lasenby, A. (2003). Geometric Algebra for Physicists. Cambridge University Press.
  2. Dorst, L., Fontijne, D., & Mann, S. (2007). Geometric Algebra for Computer Science. Morgan Kaufmann.
  3. Hestenes, D. & Sobczyk, G. (1984). Clifford Algebra to Geometric Calculus. D. Reidel Publishing Company.
  4. Perwass, C. (2009). Geometric Algebra with Applications in Engineering. Springer.