A minimal operator grammar for describing physical system behaviors across geometry, waves, chemistry, and biology.
APL (Alpha-Physical Language) is an experimental framework that uses compact "sentences" to predict physical regimes across diverse domains. This repository contains a test pack designed to allow independent teams to validate whether APL's core operator language has genuine physical content.
The test pack translates 7 compact APL sentences into falsifiable, cross-domain hypotheses that can be probed with standard models:
APL describes physical systems using:
() — Boundary / containment× — Fusion / convergence / joining^ — Amplify / gain% — Decohere / noise / reset+ — Group / aggregation / routing– — Separate / splitting / fissionAn APL sentence has the form:
[Direction][Op] | [Machine] | [Domain] → [Regime/Behavior]
For example: u^|Oscillator|wave reads as "Forward amplification in an oscillatory machine in a wave domain."
Each sentence is a testable hypothesis predicting that specific operator-machine-domain combinations statistically favor particular physical regimes:
| # | Sentence | Predicted Regime | Domain |
|---|---|---|---|
| A3 | u^|Oscillator|wave |
Closed vortex / recirculation | Wave dynamics |
| A7 | u%|Reactor|wave |
Turbulent decoherence | Flow/wave systems |
| A1 | d()|Conductor|geometry |
Isotropic lattice / sphere | Geometry/interfaces |
| A4 | m×|Encoder|chemistry |
Helical encoding | Chemistry/polymers |
| A5 | u×|Catalyst|chemistry |
Branching networks | Chemistry/growth |
| A6 | u+|Reactor|wave |
Focusing jet / beam | Fluid/plasma/wave |
| A8 | m()|Filter|wave & d×|Catalyst|chemistry |
Adaptive filter / selectivity | Wave & chemistry |
For all sentences:
LHS → RHS
means:
If a system is built to match the left-hand side (LHS) structure and driving, then the right-hand side (RHS) regime should appear more often, more strongly, or at lower thresholds than in controls that break the LHS structure, with all else as equal as possible.
Evidence FOR APL: Clear, reproducible overrepresentation of the RHS regime under LHS conditions vs. controls.
Evidence AGAINST APL: No such bias, or controls produce the RHS regime equally or more often.
APL/
├── README.md # Documentation
├── apl-operators-manual.tex # Complete operator reference (LaTeX)
├── apl-seven-sentences-test-pack.tex # Complete test protocol (LaTeX)
├── COMPILE_INSTRUCTIONS.md # LaTeX compilation guide
└── docs/ # Documentation and compiled outputs
├── index.html # HTML version of operator's manual
├── apl-operators-manual.pdf # PDF version (auto-compiled)
└── apl-seven-sentences-test-pack.pdf # Test pack PDF
For each sentence, the recommended approach:
u^: Add gain/amplification at resonant modesu%: Add explicit stochastic/decohering forcingd(): Allow boundaries to relax/collapse under isotropic energym(): Modulate boundaries in response to passing modesu×/d×: Implement forward-biased or collapse–fusion catalystsu+: Add grouping/convergent geometry or fieldsThe test pack includes two toy numerical checks:
These are minimal sandbox experiments consistent with APL predictions. Full testing requires domain-appropriate models across all seven sentences.
To use this test pack, you need:
Assumptions:
A comprehensive reference guide for APL operators, syntax, and usage patterns is available in multiple formats:
docs/index.html in your browser for an interactive, responsive manualThe manual includes:
To compile the LaTeX documents locally:
pdflatex -interaction=nonstopmode apl-operators-manual.tex
pdflatex -interaction=nonstopmode apl-seven-sentences-test-pack.tex
See COMPILE_INSTRUCTIONS.md for detailed instructions.
docs/index.html in your browser, orpdflatex apl-operators-manual.texpdflatex apl-seven-sentences-test-pack.tex
Or view the .tex source directly.
APL is designed to be falsifiable. The language should stand or fall on whether these seven sentences predict robust, cross-domain biases in real physical and chemical systems — nothing more and nothing less.
If the predicted regimes are NOT overrepresented under the specified conditions, that is strong evidence against APL's validity.