Topological Invariance and Symmetry in Nucleonic Spin Configurations

This study presents an integrated framework for modeling nucleonic spin configurations through a differential manifold formulation, topological invariants extracted via persistent homology, and symmetry constraints imposed by $\mathfrak{su}(N)$ representations. The approach specifies how spin manifolds $G/H$ are endowed with smooth structures, classifies homotopy types of spin textures by detecting robust solitonic excitations, and enforces partial uniformity in large interaction graphs through Ramsey partitions. It is demonstrated that these topologically protected phases remain stable under continuous perturbations, while the representation-theoretic viewpoint ensures each configuration is confined to symmetry-restricted homotopy classes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-05
DOI
https://doi.org/10.5281/zenodo.14977156
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topological Invariance and Symmetry in Nucleonic Spin Configurations

Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
article

Topological Invariance and Symmetry in Nucleonic Spin Configurations

article en

Abstract

This study presents an integrated framework for modeling nucleonic spin configurations through a differential manifold formulation, topological invariants extracted via persistent homology, and symmetry constraints imposed by $\mathfrak{su}(N)$ representations. The approach specifies how spin manifolds $G/H$ are endowed with smooth structures, classifies homotopy types of spin textures by detecting robust solitonic excitations, and enforces partial uniformity in large interaction graphs through Ramsey partitions. It is demonstrated that these topologically protected phases remain stable under continuous perturbations, while the representation-theoretic viewpoint ensures each configuration is confined to symmetry-restricted homotopy classes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Topological and Geometric Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.