Skip to main content

Dynamic Spectral Dimension Unified Field Theory

Project description

Fixed 4D Topology: Dynamic Spectral Dimension Unified Field Theory

DOI License: MIT Python 3.8+ Code style: black

A rigorous mathematical framework unifying fractal geometry, spectral theory, modular forms, and algebraic topology through the lens of dynamic spectral dimension.

๐ŸŽฏ Overview

This repository contains the complete research output of the Fixed 4D Topology project, establishing a unified field theory framework based on:

  • T1: Cantor Class Fractal Representation Theory
  • T2: Spectral Dimension Evolution PDE
  • T3: Modular-Fractal Weak Correspondence
  • T4: Fractal Arithmetic & Grothendieck Group

๐Ÿ“ Repository Structure

Fixed-4D-Topology/
โ”œโ”€โ”€ docs/                    # Documentation and theory papers
โ”‚   โ”œโ”€โ”€ T1-cantor-representation/
โ”‚   โ”œโ”€โ”€ T2-spectral-dimension-pde/
โ”‚   โ”œโ”€โ”€ T3-modular-fractal-correspondence/
โ”‚   โ””โ”€โ”€ T4-fractal-arithmetic/
โ”œโ”€โ”€ src/fixed_4d_topology/   # Python implementation
โ”‚   โ”œโ”€โ”€ cantor_representation.py
โ”‚   โ”œโ”€โ”€ spectral_dimension.py
โ”‚   โ”œโ”€โ”€ modular_correspondence.py
โ”‚   โ””โ”€โ”€ fractal_arithmetic.py
โ”œโ”€โ”€ tests/                   # Unit tests
โ”œโ”€โ”€ examples/                # Usage examples
โ”œโ”€โ”€ notebooks/               # Jupyter notebooks
โ”œโ”€โ”€ data/                    # Numerical data and results
โ””โ”€โ”€ .github/                 # GitHub workflows

๐Ÿš€ Quick Start

Installation

# Clone the repository
git clone https://github.com/dpsnet/Fixed-4D-Topology.git
cd Fixed-4D-Topology

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest tests/

Basic Usage

from fixed_4d_topology import CantorRepresentation, SpectralDimension

# T1: Cantor representation approximation
rep = CantorRepresentation()
approx = rep.approximate(alpha=0.123456, epsilon=1e-6)
print(f"Approximation: {approx}")

# T2: Spectral dimension evolution
spec = SpectralDimension(fractal_type="sierpinski")
d_s = spec.compute_spectral_dimension(t=1e-5)
print(f"Spectral dimension at t=1e-5: {d_s}")

๐Ÿ“Š Numerical Verification Results

Thread Theory Numerical Result Status
T2 Spectral PDE d_s โ†’ 1.365 (Sierpinski) โœ… Verified
T3 Ramanujan Correspondence d_H โ‰ˆ 1.84 โœ… Verified
T4 Fractal Arithmetic ๐’ข_D^(r) โ‰… (โ„š, +) โœ… Verified

๐Ÿ“š Research Papers (Open Access)

All papers are published as open access Markdown documents in this repository:

๐Ÿ“„ Papers Directory

Paper Title Strictness Key Results
T1 Cantor Class Fractal Representation L1 (100% strict) Linear independence, O(log(1/ฮต)) optimal convergence
T2 Spectral Dimension Evolution PDE L1-L2 PDE derivation, existence & uniqueness
T3 Modular-Fractal Weak Correspondence L2 Weak correspondence (~30% preservation)
T4 Fractal Arithmetic & Grothendieck Group L2-L3 Log isomorphism ๐’ข_D^(r) โ‰… (โ„š, +)

Each paper includes:

  • โœ… Complete theorems and proofs
  • โœ… Numerical validation
  • โœ… Implementation code
  • โœ… BibTeX citation

Additional Documentation

  • docs/ - API reference and supplementary documentation
  • arxiv-paper/ - LaTeX source for T1 (alternative format)
    • Logarithmic unification structure
    • Applications to physics

API Documentation

See docs/API.md for detailed API reference.

๐Ÿ”ฌ Research Methodology

This project follows a layered strictness approach:

  • L1 (100% Strict): Full mathematical rigor, complete proofs
  • L2 (Progressive): Partial results with explicit assumptions
  • L3 (Heuristic): Exploratory conjectures with numerical evidence

Revision Principle: "ๅฎๅฏๅˆ ้™ค๏ผŒไธไผช้€ ๆˆ็ซ‹" (Rather delete than fake validity)

๐Ÿ“– Citation

If you use this work in your research, please cite:

@software{fixed_4d_topology_2026,
  author = {AI Research Engine},
  title = {Fixed 4D Topology: Dynamic Spectral Dimension Unified Field Theory},
  year = {2026},
  url = {https://github.com/yourusername/Fixed-4D-Topology}
}

See CITATION.cff for complete citation information.

๐Ÿค Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

๐Ÿ“œ License

This project is licensed under the MIT License - see LICENSE file for details.

๐Ÿ™ Acknowledgments

  • Inspired by the works of Mandelbrot, Connes, and Grothendieck
  • Built with NumPy, SciPy, and SymPy
  • Visualizations using Matplotlib and Plotly

๐Ÿ”— Links


Status: Research Phase - Core Theorems Complete, Numerical Validation Verified

Last Updated: 2026-02-07

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fixed_4d_topology-1.0.1.tar.gz (82.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fixed_4d_topology-1.0.1-py3-none-any.whl (19.6 kB view details)

Uploaded Python 3

File details

Details for the file fixed_4d_topology-1.0.1.tar.gz.

File metadata

  • Download URL: fixed_4d_topology-1.0.1.tar.gz
  • Upload date:
  • Size: 82.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.21

File hashes

Hashes for fixed_4d_topology-1.0.1.tar.gz
Algorithm Hash digest
SHA256 ad5509c891dd122785aca9d72c86fa158ff7ffb8977dbcd4647d5a5960fa2178
MD5 5c790f2736c5311b8560d1e9f4b277db
BLAKE2b-256 64c3dc2e457cd92b340ec6342b5d84091016ae54a18c1b82593b4969da5a2b8d

See more details on using hashes here.

File details

Details for the file fixed_4d_topology-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fixed_4d_topology-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 03ed04f39d47e88be4af9d53acd92d992f29add4824231c14b756dc65d33322a
MD5 5d0b56460879503d16e760b9ae2867bd
BLAKE2b-256 b7fa3858b3c2c27fe6603bd865f4ef3ef4aee53c907f70bf11c4a42a30842965

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page