Exploring Connections Between Topological Invariants and Computational Complexity: A Modest Investigation

We investigate potential relationships between certain topological invariants of 3-dimensional manifolds and the computational complexity of related algorithmic problems. Specifically, we examine whether properties of fundamental groups correlate with the difficulty of knot recognition algorithms. Through computational experiments on a database of prime knots with up to 10 crossings, we identify preliminary patterns that suggest deeper connections worth further investigation. Our results are modest but concrete, providing a foundation for more systematic study of topology-computation relationships. Classification: Primary 57M25, 68Q17; Secondary 55N10, 68Q15

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-28
DOI
https://doi.org/10.5281/zenodo.17217609
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Connections Between Topological Invariants and Computational Complexity: A Modest Investigation

Zenodo (CERN European Organization for Nuclear Research)
Cognitive Radio Networks and Spectrum Sensing
article

Exploring Connections Between Topological Invariants and Computational Complexity: A Modest Investigation

article en

Abstract

We investigate potential relationships between certain topological invariants of 3-dimensional manifolds and the computational complexity of related algorithmic problems. Specifically, we examine whether properties of fundamental groups correlate with the difficulty of knot recognition algorithms. Through computational experiments on a database of prime knots with up to 10 crossings, we identify preliminary patterns that suggest deeper connections worth further investigation. Our results are modest but concrete, providing a foundation for more systematic study of topology-computation relationships. Classification: Primary 57M25, 68Q17; Secondary 55N10, 68Q15

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 44%
Cognitive Radio Networks and Spectrum Sensing
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.

Exploring Connections Between Topological Invariants and Computational Complexity: A Modest Investigation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS