Direction 2 — Lattice RG Flow (easy guide): zoom from the DANode grid to everyday scales
Plain-language implementation of renormalization-group flow on the SPT Q₇ lattice. Hopping c=2Ja/ℏ, UV cutoff, IR 1/α=137, tree sin²θ_W=3/13, Bagua window t_*=32, structural δ_RG=1/(1024π). Glossary links. SymPy: spt_rg_lattice_flow.py.
0.00042. Script PASS: spt_rg_lattice_flow.py.§0 Terminology table (→ glossary)
| Term | Plain meaning | Glossary |
|---|---|---|
| RG | How couplings change when you zoom scale | Open |
| β-function | β(g) = dg / d ln μ — the zoom speed of a coupling | Open |
| Running | A “constant” that depends on energy scale μ | Open |
| μ (scale) | Energy/resolution dial you are using | Open |
| Hopping / c | Jump rate between DANodes; c = 2Ja/ℏ | Open |
| μ_UV | Highest lattice frequency ∼ c/a = 2J/ℏ | Open |
| *t_ = 32** | Bagua log window 4·Q₃ of ln(μ_high/μ_low) | Open |
| δ_RG | Structural one-loop shift 1/(1024π) ≈ 3.1×10⁻⁴ | Open |
| 1/α = 137 | IR combinatorial spine — not a Planck miracle | Open |
| Tree 3/13 | High-scale sin²θ_W from Direction 1 (boundary) | Open |
§1 Picture: zooming the DANode fabric
Imagine the universe as a fixed mesh of DANodes (like a fabric of knots). Up close (Planck), you see every knot and every hop. Far away (atoms, labs), the fabric looks smooth. RG is the math of that zoom: the effective strength of forces can look different at each zoom level.
SPT’s speed of light is not an extra postulate: excitations hop to neighbours at c = 2Ja/ℏ. The highest “note” the lattice can play is μ_UV ∼ c/a. That is the natural UV end of the RG pipe. The IR end still has the combinatorial fact 1/α = 137 (count of Q₇ structure) — kept separate from dynamical running.
§2 The RG pipeline (six steps)
t_star = 4 * 8 # 32
delta_RG = t_star / (2 * pi * 128**2) # 1/(1024*pi)
sin2_IR = Rational(3, 13) + delta_RG # ≈ 0.23108
# PDG 0.23122 → Δ ≈ 0.06% (OUTPUT check only)§3 SymPy evidence
Direction-2 lattice RG scripts
pip install sympy numpy && python3 scripts/spt_rg_lattice_flow.py && python3 scripts/spt_rg_substrate_framework.py && python3 scripts/spt_master_map_f_from_action.pyDon't want to install Python? Paste the prompt straight into Grok / Claude / ChatGPT / Gemini — the AI fetches the public script URL below and independently verifies each assertion in ~30 s. Open grok.com or claude.ai , paste, send.
⚠️ AI can be wrong — running the Python above is the only 100% certain check. Full AI guide →
§4 Numbers (OUTPUT vs PDG)
| Quantity | SPT closed form | Value | Tier |
|---|---|---|---|
| 1/α_IR | Q₇+Q₃+1 | 137 exact | B-EXACT |
| sin²θ_W tree | 3/13 | 0.230769 | B-EXACT |
| t_* | 4·Q₃ | 32 exact | B-EXACT |
| δ_RG | 1/(1024π) | ≈ 3.11×10⁻⁴ | B-EXACT form |
| sin²θ_W IR struct | 3/13 + 1/(1024π) | ≈ 0.23108 vs PDG 0.23122 (Δ 0.06%) | B-PASS band |
§5 Why it matters + practical use
- Before: people could confuse “137” with a Planck-scale magic number, and θ_W running was a hand correction.
- After Direction 2: explicit lattice→IR pipeline; δ_RG is a closed form; PDG only checks the result.
- Practical: peer narrative (“we have a structural RG sketch”); experiment weighting still with Direction-1 shells; not a device recipe.
- Importance: strategic ~7.5/10 on the theory path (connects combinatorics to running); engineering ~2/10; full SM β from Action still the long climb.
§6 What stayed open — and Direction 2b progress
spt_rg_action_beta_alpha.py):
1. b₁,b₂,b₃ = Bagua EXACT forms 41/10, −19/6, −7 (path-integral why still research).
2. α₁,α₂ 1-loop flow over t_*=32; 137 spine kept combinatorial.
3. Substrate vs continuum separated; equivalence E to Clay a→0 still open.
Precision θ_W channel remains δ_RG on this page — not naive long absolute α-flow.§7 Related pages
- Phase 9 hub: /theory/spt-phase9-core-index
- Older RG honesty frame: /theory/spt-rg-from-substrate
- Direction 1 (boundary 3/13): /theory/spt-master-map-f-from-action
- ⭐ Direction 2b — open gaps: /theory/spt-rg-open-closure
- Glossary RG group: /glossary#spt-rg-lattice
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