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Related papers: Formalizing Geometric Algebra in Lean

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Distributional and neural approaches to natural language semantics have been built almost exclusively on conventional linear algebra: vectors, matrices, tensors, and the operations that accompany them. These methods have achieved remarkable…

Computation and Language · Computer Science 2026-04-29 James Pustejovsky

This article provides a pedagogically oriented introduction to geometric (Clifford) calculus on pseudo-Riemannian manifolds. Unlike usual approaches to the topic, which rely on embedding the geometric algebra either within a tensor algebra…

Differential Geometry · Mathematics 2021-09-16 Joseph C. Schindler

Closed form expressions for a logarithm of general multivector (MV) in base-free form in real geometric algebras (GAs) Cl(p,q) are presented for all n=p+q=3. In contrast to logarithm of complex numbers (isomorphic to Cl(0,1), 3D logarithmic…

Rings and Algebras · Mathematics 2023-05-17 A. Acus , A. Dargys

We introduce the notion of rank of multivector in Clifford geometric algebras of arbitrary dimension without using the corresponding matrix representations and using only geometric algebra operations. We use the concepts of characteristic…

Mathematical Physics · Physics 2025-10-03 D. S. Shirokov

In the traditional approaches to Clifford algebras, the Clifford product is evaluated by recursive application of the product of a one-vector (span of the generators) on homogeneous i.e. sums of decomposable (Grassmann), multivectors and…

Mathematical Physics · Physics 2007-05-23 Bertfried Fauser

Chemical theory can be made more rigorous using the Lean theorem prover, an interactive theorem prover for complex mathematics. We formalize the Langmuir and BET theories of adsorption, making each scientific premise clear and every step of…

Logic in Computer Science · Computer Science 2023-12-14 Maxwell P. Bobbin , Samiha Sharlin , Parivash Feyzishendi , An Hong Dang , Catherine M. Wraback , Tyler R. Josephson

In this article we present a new and not fully employed geometric algebra model. With this model a generalization of the conformal model is achieved. We discuss the geometric objects that can be represented. Furthermore, we show that the…

Metric Geometry · Mathematics 2014-09-17 Daniel Klawitter

The Clifford algebra of a n-dimensional Euclidean vector space provides a general language comprising vectors, complex numbers, quaternions, Grassman algebra, Pauli and Dirac matrices. In this work, we present an introduction to the main…

Mathematical Physics · Physics 2018-01-23 G. Aragon-Camarasa , G. Aragon-Gonzalez , J. L. Aragon , M. A. Rodriguez-Andrade

We formalize Hall's Marriage Theorem in the Lean theorem prover for inclusion in mathlib, which is a community-driven effort to build a unified mathematics library for Lean. One goal of the mathlib project is to contain all of the topics of…

Combinatorics · Mathematics 2021-01-05 Alena Gusakov , Bhavik Mehta , Kyle A. Miller

We discuss how transformations in a three dimensional euclidean space can be described in terms of the Clifford algebra $\mathcal{C}\ell_{3,3}$ of the quadratic space $\mathbb{R}^{3,3}$. We show that this algebra describes in a unified way…

General Mathematics · Mathematics 2019-08-23 Jayme Vaz , Stephen Mann

Clifford algebras are important structures in Geometric Algebra and Quantum Mechanics. They have allowed a formalization of the primitive operators in Quantum Theory. The algebras are built over vector spaces with dimension a power of 2…

Algebraic Geometry · Mathematics 2007-05-23 Guillermo Morales-Luna

Historically, there have been many attempts to produce an appropriate mathematical formalism for modeling the nature of physical space, such as Euclid's geometry, Descartes' system of Cartesian coordinates, the Argand plane, Hamilton's…

History and Philosophy of Physics · Physics 2016-02-23 James M. Chappell , Azhar Iqbal , Derek Abbott

This is a simple way rigorously to construct Grassmann, Clifford and Geometric Algebras, allowing degenerate bilinear forms, infinite dimension, using fields or certain modules (characteristic 2 with limitation) - and characterize the…

Algebraic Geometry · Mathematics 2010-11-17 Allan Cortzen

We present a thorough study of the differential geometry of weightings and develop the theory of weightings for vector bundles, Lie groupoids, and Lie algebroids. We begin by extending the work of Loizides and Meinrenken on weighted…

Differential Geometry · Mathematics 2025-08-15 Daniel Hudson

In this paper we combine methods from projective geometry, Klein's model, and Clifford algebra. We develop a Clifford algebra whose Pin group is a double cover of the group of regular projective transformations. The Clifford algebra we use…

Metric Geometry · Mathematics 2014-05-12 Daniel Klawitter

We attach the degenerate signature (n,0,1) to the projectivized dual Grassmann algebra over R(n+1). We explore the use of the resulting Clifford algebra as a model for euclidean geometry. We avoid problems with the degenerate metric by…

Metric Geometry · Mathematics 2015-03-18 Charles Gunn

We generalize the tensor product theory for modules for a vertex operator algebra previously developed in a series of papers by the first two authors to suitable module categories for a ''conformal vertex algebra'' or even more generally,…

Quantum Algebra · Mathematics 2008-07-07 Yi-Zhi Huang , James Lepowsky , Lin Zhang

Introducing products between multivectors of Cl(0,7) and octonions, resulting in an octonion, and leading to the non-associative standard octonionic product in a particular case, we generalize the octonionic X-product, associated with the…

Mathematical Physics · Physics 2012-08-27 Roldao da Rocha , Jayme Vaz,

The earlier approach is used for description of qubits and geometric phase parameters, the things critical in the area of topological quantum computing. The used tool, Geometric (Clifford) Algebra is the most convenient formalism for that…

General Physics · Physics 2015-02-10 Alexander M. Soiguine

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