Cohomological structure analysis of prime numbers using iterative maps, linking prime irregularities to physical systems including statistical mechanics and quantum mechanics.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill prime-cohomological-iterative-maps --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Prime Cohomological Iterative Maps?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hiyenwong-prime-cohomological-iterative-maps-b4f62518)More formats (shields.io, HTML) on the badges page.
---
name: prime-cohomological-iterative-maps
description: Cohomological structure analysis of prime numbers using iterative maps, linking prime irregularities to physical systems including statistical mechanics and quantum mechanics.
category: number theory
arxiv_id: "2605.17622"
arxiv_url: https://arxiv.org/abs/2605.17622
date: 2026-05-29
trigger: prime numbers, cohomology, iterative maps, statistical mechanics, quantum mechanics, prime gaps, dynamical systems, number theory
---
# Prime Cohomological Iterative Maps Methodology
## Background
Prime numbers appear in contexts spanning statistical mechanics, quantum mechanics, and dynamical systems. However, the mechanisms governing irregularities in prime sequences and their connection to physical systems remained unclear.
## Core Methodology (from arXiv:2605.17622)
### Key Insight
Prime gaps at different separation distances follow a function depending on that distance and can be described by an iterative map predicting the primary growth of successive primes.
### Pattern Steps
1. **Analyze prime gaps at various separation distances**
- Compute gap statistics for consecutive primes
- Identify distance-dependent functional relationships
2. **Construct the iterative map**
- Derive the map that predicts primary growth of successive primes
- The map captures the deterministic component of prime distribution
3. **Extract the cohomological structure**
- Analyze residual fluctuations after removing the primary trend
- Identify the well-defined cohomological structure in the residuals
- The deterministic functional relation holds up to small decaying fluctuations
4. **Connect to physical systems**
- Map the cohomological structure to statistical mechanics models
- Establish links to quantum mechanical systems
- Long-range correlations and local jumps encode the underlying structure
### Applications
- **Statistical Mechanics**: Prime distribution as a thermodynamic system
- **Quantum Mechanics**: Connection between prime spectra and quantum energy levels
- **Dynamical Systems**: Prime sequences as chaotic dynamical systems
- **Number Theory**: New perspective on prime distribution regularity
### Reusable Skill Pattern
**When to use**: Analyzing prime number distributions, studying connections between number theory and physics, or modeling sequences with cohomological structure.
**Input**: Sequence of prime numbers (or similar mathematical sequence)
**Output**: Iterative map prediction + cohomological structure characterization
**Validation**: Compare predicted prime growth against actual primes; verify cohomological structure in residuals
### Pitfalls
- Results are asymptotic; finite-size effects significant for small primes
- Cohomological interpretation requires careful mathematical formalism
- Connection to physics is suggestive, not rigorously proven
- Decaying fluctuations may have different rates for different prime rangesIs this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!