What Are Gyrocommutative Gyrogroups?

Written by hyperbole | Published 2024/12/03
Tech Story Tags: deep-neural-networks | riemannian-manifolds | spd-manifolds | graph-convolutional-networks | manifold-neural-networks | logistic-regression | euclidean-neural-networks | gyrocommutative-gyrogroups

TLDRGyrogroups and gyrovector spaces are essential for understanding hyperbolic geometry. These structures, including gyrocommutative gyrogroups and various types of gyrovector spaces, provide the mathematical foundation for applications in AI and geometry, particularly within Grassmann manifolds and SPD matrices.via the TL;DR App

Table of Links

Abstract and 1. Introduction

  1. Preliminaries

  2. Proposed Approach

    3.1 Notation

    3.2 Nueral Networks on SPD Manifolds

    3.3 MLR in Structure Spaces

    3.4 Neural Networks on Grassmann Manifolds

  3. Experiments

  4. Conclusion and References

A. Notations

B. MLR in Structure Spaces

C. Formulation of MLR from the Perspective of Distances to Hyperplanes

D. Human Action Recognition

E. Node Classification

F. Limitations of our work

G. Some Related Definitions

H. Computation of Canonical Representation

I. Proof of Proposition 3.2

J. Proof of Proposition 3.4

K. Proof of Proposition 3.5

L. Proof of Proposition 3.6

M. Proof of Proposition 3.11

N. Proof of Proposition 3.12

G SOME RELATED DEFINITIONS

G.1 GYROGROUPS AND GYROVECTOR SPACES

Gyrovector spaces form the setting for hyperbolic geometry in the same way that vector spaces form the setting for Euclidean geometry (Ungar, 2002; 2005; 2014). We recap the definitions of gyrogroups and gyrocommutative gyrogroups proposed in Ungar (2002; 2005; 2014). For greater mathematical detail and in-depth discussion, we refer the interested reader to these papers.

Definition G.1 (Gyrogroups (Ungar, 2014)). A pair (G, ⊕*) is a groupoid in the sense that it is a nonempty set, G, with a binary operation, ⊕. A groupoid (G,* ⊕*) is a gyrogroup if its binary operation satisfies the following axioms for a, b, c ∈ G:*

(G1) There is at least one element e ∈ G called a left identity such that e ⊕ a = a.

(G2) There is an elementa ∈ G called a left inverse of a such thataa = e.

(G3) There is an automorphism gyr[a, b] : G → G for each a, b ∈ G such that

a ⊕ (b ⊕ c) = (a ⊕ b) ⊕ gyr[a, b]c (Left Gyroassociative Law).

The automorphism gyr[a, b] is called the gyroautomorphism, or the gyration of G generated by a, b. (G4) gyr[a, b] = gyr[a ⊕ b, b] (Left Reduction Property).

Definition G.2 (Gyrocommutative Gyrogroups (Ungar, 2014)). A gyrogroup (G, ⊕*) is gyrocommutative if it satisfies*

a ⊕ b = gyr[a, b](b ⊕ a) (Gyrocommutative Law).

The following definition of gyrovector spaces is slightly different from Definition 3.2 in Ungar (2014).

Definition G.3 (Gyrovector Spaces). A gyrocommutative gyrogroup (G, ⊕) equipped with a scalar multiplication

Definition G.3 (Gyrovector Spaces). A gyrocommutative gyrogroup (G, ⊕*) equipped with a scalar multiplication*

(t, x) → tx : R × G → G

is called a gyrovector space if it satisfies the following axioms for s, t ∈ R and a, b, c ∈ G*:*

(V1) 1 ⊙ a = a, 0 ⊙ a = t ⊙ e = e, and (−1) ⊙ a = ⊖a.

(V2) (s + t) ⊙ a = s ⊙ a ⊕ t ⊙ a.

(V3) (st) ⊙ a = s ⊙ (t ⊙ a).

(V4) gyr[a, b](t ⊙ c) = t ⊙ gyr[a, b]c.

(V5) gyr[s ⊙ a, t ⊙ a] = Id, where Id is the identity map.

G.2 AI GYROVECTOR SPACES

G.3 LE GYROVECTOR SPACES

G.4 LC GYROVECTOR SPACES

G.5 GRASSMANN MANIFOLDS IN THE PROJECTOR PERSPECTIVE

G.6 GRASSMANN MANIFOLDS IN THE ONB PERSPECTIVE

G.7 THE SPD AND GRASSMANN INNER PRODUCTS

G.9 THE GYRODISTANCE FUNCTION IN STRUCTURE SPACES

G.10 THE PSEUDO-GYRODISTANCE FUNCTION IN STRUCTURE SPACES

Authors:

(1) Xuan Son Nguyen, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (xuan-son.nguyen@ensea.fr);

(2) Shuo Yang, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (son.nguyen@ensea.fr);

(3) Aymeric Histace, ETIS, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France (aymeric.histace@ensea.fr).


This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license.


Written by hyperbole | Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic.
Published by HackerNoon on 2024/12/03