Update dataset: add polynomial r^n survey, fractional exponent sweeps (201 rows)
Browse filesNew data (April 2026):
- Polynomial r^n exact symbolic survey: r^1 through r^10 (N=3, d=1, L3)
- r^1 [3,4,5,5], r^2 [3,6,13,15], r^3 [3,6,17,109], r^4-r^10 all [3,6,17,116]
- 1/r^n fractional exponent sweep: 21 exponents (N=3 L3) + 9 exponents (N=4 L2)
- r^n numerical exponent sweep: 12 successful of 20 tested
- dimension_sequences grew from 45 to 93 rows
- Total dataset: 201 rows across 9 tables (up from 153)
- Updated README with expanded potential coverage and key results
- README.md +4 -4
- dataset_info.json +1 -1
- dimension_sequences.parquet +2 -2
- scaling_formulas.parquet +2 -2
README.md
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This dataset contains the first systematic computation of **pairwise Poisson bracket algebras** arising from the classical and quantum N-body problem. For each configuration of N gravitating (or otherwise interacting) bodies in d spatial dimensions under a pairwise potential V(r), we compute the Lie algebra generated by iterated Poisson brackets of the pairwise interaction terms {H_ij}, starting from the N(N-1)/2 pairwise Hamiltonians.
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The dataset spans:
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- **
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- **9 distinct potentials** with full 17x17x17 exact rational structure constant tensors
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- **15 named physical systems** from helium atoms to triple black holes
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- **18 charge configurations** testing charge-independence of the algebra
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### Key Results in This Dataset
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1. **Potential universality**: For N=3 with 1/r, 1/r^2, 1/r^3, log, and
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2. **N-body scaling**: L_0(N) = N(N-1)/2, L_1(N) = N(3N-5)/2, L_2(N) = N(4N^2-9N+3)/2 for N >= 4.
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## Dataset Splits
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### `dimension_sequences` (
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The headline table. One row per (N, d, potential, bracket_type) configuration. Includes flattened `dim_L0`..`dim_L4` integer columns for easy filtering in the HF Dataset Viewer, plus the full JSON `dimension_sequence`.
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|--------|------|-------------|
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| `N` | int | Number of bodies (3--8) |
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| `d` | int | Spatial dimensions (1--2) |
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| `potential` | str | Interaction potential: "1/r", "1/r^2", "1/r^3", "1/r^4", "r^
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| `bracket_type` | str | "poisson" (classical) or "moyal" (quantum) |
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| `masses` | str/null | JSON-encoded mass list, e.g. '["1","2","3"]' or '"symbolic"' |
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| `charges` | str/null | JSON-encoded charge list, e.g. '[2,-1,-1]' |
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This dataset contains the first systematic computation of **pairwise Poisson bracket algebras** arising from the classical and quantum N-body problem. For each configuration of N gravitating (or otherwise interacting) bodies in d spatial dimensions under a pairwise potential V(r), we compute the Lie algebra generated by iterated Poisson brackets of the pairwise interaction terms {H_ij}, starting from the N(N-1)/2 pairwise Hamiltonians.
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The dataset spans:
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- **N = 3 through 50** with exact dimension sequences (L0 through N=50, L1 through N=26, L2 through N=9)
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- **9 distinct potentials** with full 17x17x17 exact rational structure constant tensors
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- **15 named physical systems** from helium atoms to triple black holes
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- **18 charge configurations** testing charge-independence of the algebra
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### Key Results in This Dataset
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1. **Potential universality**: For N=3 with 1/r, 1/r^2, 1/r^3, log, composite, and polynomial r^n (n≥4) potentials, the dimension sequence is universally [3, 6, 17, 116]. Three exceptional potentials: r^1 → [3,4,5,5] (finite), r^2 → [3,6,13,15] (finite), r^3 → [3,6,17,109] (7 extra relations). Universality extends to fractional exponents (21 tested for 1/r^n, 12 for r^n).
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2. **N-body scaling**: L_0(N) = N(N-1)/2, L_1(N) = N(3N-5)/2, L_2(N) = N(4N^2-9N+3)/2 for N >= 4.
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## Dataset Splits
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### `dimension_sequences` (~85 rows)
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The headline table. One row per (N, d, potential, bracket_type) configuration. Includes flattened `dim_L0`..`dim_L4` integer columns for easy filtering in the HF Dataset Viewer, plus the full JSON `dimension_sequence`.
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|--------|------|-------------|
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| `N` | int | Number of bodies (3--8) |
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| `d` | int | Spatial dimensions (1--2) |
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| `potential` | str | Interaction potential: "1/r", "1/r^2", "1/r^3", "1/r^4", "r^1"--"r^10", "log", "composite(...)", "neural" |
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| `bracket_type` | str | "poisson" (classical) or "moyal" (quantum) |
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| `masses` | str/null | JSON-encoded mass list, e.g. '["1","2","3"]' or '"symbolic"' |
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| `charges` | str/null | JSON-encoded charge list, e.g. '[2,-1,-1]' |
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dataset_info.json
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"version": "2.0.0",
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"splits": {
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"dimension_sequences": {
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"num_rows":
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"num_columns": 21,
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"columns": [
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"N",
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"version": "2.0.0",
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"splits": {
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"dimension_sequences": {
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"num_rows": 93,
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"num_columns": 21,
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"columns": [
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"N",
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dimension_sequences.parquet
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scaling_formulas.parquet
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