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https://github.com/allofphysicsgraph/proofofconcept
Physics Derivation Graph: mathematical connections among equations
https://github.com/allofphysicsgraph/proofofconcept
derivation graph graphviz html inference-rules latex physics physics-derivation-graph python
Last synced: about 1 month ago
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Physics Derivation Graph: mathematical connections among equations
- Host: GitHub
- URL: https://github.com/allofphysicsgraph/proofofconcept
- Owner: allofphysicsgraph
- License: other
- Created: 2014-12-01T02:35:18.000Z (about 10 years ago)
- Default Branch: gh-pages
- Last Pushed: 2024-05-20T02:19:33.000Z (7 months ago)
- Last Synced: 2024-05-21T05:09:33.980Z (7 months ago)
- Topics: derivation, graph, graphviz, html, inference-rules, latex, physics, physics-derivation-graph, python
- Language: HTML
- Homepage: https://derivationmap.net/
- Size: 111 MB
- Stars: 20
- Watchers: 12
- Forks: 6
- Open Issues: 130
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
The Physics Derivation Graph focuses on the following:
* Claim: a finite static directed graph exists which describes all of mathematical Physics.
* Claim: the graph representation is machine parsable
* Claim: validity of (some) derivation steps in the graph can be checked using a computer algebra system
* Claim: correctness of (some) derivation steps in the graph can be proven formally
As of May 2024 claims 1, 2, and 3 are demonsrated; work on 4 is planned.
Caveats:
* I'm not aware of currently available computer algebra systems are capable of validating all of mathematical Physics.
* The graph relies on manually checking the equivalence of expressions represented using Latex, Sympy, and Lean.
A novel result of this work has been the enumeration of [inference rules used in mathematical Physics](https://derivationmap.net/user_documentation#inference%20rules).
[](https://gitter.im/allofphysicsgraph/Lobby)
# Goals / Objectives
## Initial Objectives
- [x] Create a framework capable of describing all mathematics needed for physics derivations. PDG uses Latex as the syntax in the framework because Latex is how I think of equations. However, Latex is insufficient for processing by computer algebra systems. Status: proof of concept exists
- [x] Create machine-readable databases which use the above framework to capture the mathematical derivations in physics. To hold the content of the databases I'm using custom XML. Status: proof of concept exists
- [x] Create graphical representation of relations content in the databases. PDF uses d3js (previously GraphViz) to render the visualization. Status: proof of concept works
- [x] Use a computer algebra system to verify the relations in the databases. PDG uses SymPy as the CAS. Status: proof-of-concept completed in 2020
- [x] Create a web browser-based viewing of the generated graph. HTML5 seems capable. Status: proof-of-concept completed in 2020
- [x] Create a web browser-based graph input tool. Status: proof-of-concept completed in 2020
The proof-of-concept for all the initial objectives were completed during the Covid-19 lockdown (summer of 2020).
## Current unmet objectives
- [ ] Use a property graph (e.g., Neo4j) and enable users to query the graph. Status: underway as of May 2024. See <
- [ ] Adapt visualizations to the new property graph database
- [ ] Adding content manually is burdensome. Find automations
- [ ] Eliminate website errors
- [ ] Enact testing of the backend software and the web UI.
* See and which use PyTest
* See
# Licensing
[Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/)
# a small derivation
# Aspirational web interface:
and
# Contributing
Before submitting code via a pull request, please open an issue (feature or bug) and describe your question or intent.
Python code is formatted using Black.