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Related papers: Introduction to Clifford's Geometric Algebra

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We introduce randomized algorithms to Clifford's Geometric Algebra, generalizing randomized linear algebra to hypercomplex vector spaces. This novel approach has many implications in machine learning, including training neural networks to…

Machine Learning · Computer Science 2024-06-11 Yifei Wang , Sungyoon Kim , Paul Chu , Indu Subramaniam , Mert Pilanci

Problems involving geometric data arise in physics, chemistry, robotics, computer vision, and many other fields. Such data can take numerous forms, for instance points, direction vectors, translations, or rotations, but to date there is no…

Machine Learning · Computer Science 2023-11-21 Johann Brehmer , Pim de Haan , Sönke Behrends , Taco Cohen

This study introduces geometric algebra to decompose credit system relationships into their projective (correlation-like) and rotational (feedback-spiral) components. We represent economic states as multi-vectors in Clifford algebra, where…

General Finance · Quantitative Finance 2025-10-21 Agus Sudjianto , Sandi Setiawan

The discussion of how to apply geometric algebra to euclidean $n$-space has been clouded by a number of conceptual misunderstandings which we first identify and resolve, based on a thorough review of crucial but largely forgotten themes…

General Mathematics · Mathematics 2016-05-24 Charles G. Gunn

We propose models of quantum neural networks through Clifford algebras, which are capable of capturing geometric features of systems and to produce entanglement. Due to their representations in terms of Pauli matrices, the Clifford algebras…

Quantum Physics · Physics 2022-06-07 Marco A. S. Trindade , Vinicius N. L. Rocha , S. Floquet

This paper concentrates on the homogeneous (conformal) model of Euclidean space (Horosphere) with subspaces that intuitively correspond to Euclidean geometric objects in three dimensions. Mathematical details of the construction and…

Rings and Algebras · Mathematics 2013-06-06 Eckhard Hitzer

This paper explores formalizing Geometric (or Clifford) algebras into the Lean 3 theorem prover, building upon the substantial body of work that is the Lean mathematics library, mathlib. As we use Lean source code to demonstrate many of our…

Logic in Computer Science · Computer Science 2022-04-20 Eric Wieser , Utensil Song

This is the first paper in a series (of four) designed to show how to use geometric algebras of multivectors and extensors to a novel presentation of some topics of differential geometry which are important for a deeper understanding of…

Differential Geometry · Mathematics 2015-06-26 V. V. Fernandez , A. M. Moya , W. A. Rodrigues

The real number system is geometrically extended to include three new anticommuting square roots of plus one, each such root representing the direction of a unit vector along the orthonormal coordinate axes of Euclidean 3-space. The…

General Physics · Physics 2015-09-09 Garret Sobczyk

The mathematical foundations of relativistic quantum mechanics is largely based upon the discovery of the Pauli and Dirac matrices. An algebra which lies at an even more fundamental level is the geometric Clifford algebra with metric…

General Physics · Physics 2019-10-22 Garret Sobczyk

This paper shows how beginning with Justus Grassmann's work, Hermann Grassmann was influenced in his mathematical thinking by crystallography. H. Grassmann's Ausdehnungslehre in turn had a decisive influence on W.K. Clifford in the genesis…

Materials Science · Physics 2013-06-11 Eckhard Hitzer

What is the best representation for doing euclidean geometry on computers? These notes from a SIGGRAPH 2019 short course entitled "Geometric algebra for computer graphics" introduce projective geometric algebra (PGA) as a modern framework…

Graphics · Computer Science 2020-08-19 Charles G. Gunn

In this paper, we make the case that Clifford algebra is the natural framework for root systems and reflection groups, as well as related groups such as the conformal and modular groups: The metric that exists on these spaces can always be…

Mathematical Physics · Physics 2016-02-22 Pierre-Philippe Dechant

This Lecture Notes is meant to introduce noncommutative algebraic geometry tools (which were invented by M. Artin, W. Schelter, J. Tate, and M. Van den Bergh in the late 1980s) and also graded skew Clifford algebras (which were introduced…

Rings and Algebras · Mathematics 2015-03-02 Manizheh Nafari

In this paper we introduce the concept of metric Clifford algebra $\mathcal{C\ell}(V,g)$ for a $n$-dimensional real vector space $V$ endowed with a metric extensor $g$ whose signature is $(p,q)$, with $p+q=n$. The metric Clifford product on…

Mathematical Physics · Physics 2016-08-16 V. V. Fernández , A. M. Moya , W. A. Rodrigues

A generalization of the term "generalized Clifford algebras" (as appears in papers on advances in applied Clifford algebras) is introduced. This algebra is studied by means of structure theory of central simple algebras. A graph theoretical…

Rings and Algebras · Mathematics 2011-12-09 Adam Chapman

We demonstrate the emergence of the conformal group SO(4,2) from the Clifford algebra of spacetime. The latter algebra is a manifold, called Clifford space, which is assumed to be the arena in which physics takes place. A Clifford space…

High Energy Physics - Theory · Physics 2007-05-23 C. Castro , M. Pavsic

Clifford algebras have broad applications in science and engineering. The use of Clifford algebras can be further promoted in these fields by availability of computational tools that automate tedious routine calculations. We offer an…

Symbolic Computation · Computer Science 2016-05-23 Dimiter Prodanov , Viktor T. Toth

This is the first paper in a series of eight where in the first three we develop a systematic approach to the geometric algebras of multivectors and extensors, followed by five papers where those algebraic concepts are used in a novel…

Differential Geometry · Mathematics 2007-05-23 A. M. Moya , V. V. Fernandez , W. A. Rodrigues

Many problems in robotics are fundamentally problems of geometry, which lead to an increased research effort in geometric methods for robotics in recent years. The results were algorithms using the various frameworks of screw theory, Lie…

Robotics · Computer Science 2025-10-31 Tobias Löw , Sylvain Calinon