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n
int64
6
48
N
int64
216
111k
theta
float64
0.79
3.14
s_theta
float64
0.59
4
lambda0
float64
0
0.01
n3lam0
float64
0.18
2.07
slope_data
float64
-3.36
-2.73
⌀
Rn_lambda0
float64
0.93
2.19
t
float64
0
0.01
6
216
3.141593
4
0.009601
2.073914
null
0.92872
0.000558
8
512
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4
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1.868929
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10
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1.280073
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1,728
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1.554693
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24
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0.009744

U(1) defect phase-crossover experiment

Numerical study of the smallest eigenvalue of the unnormalized scalar connection Laplacian of an n×n open square grid with exactly one phased edge (plus 2D torus and 3D box extensions). Part of a multi-agent project on local frustration vs global spectral visibility.

Start here: REPORT.md (v3, post-audit) — results with [T]/[A]/[N]/[C]/[O] evidence labels and answers to the eight central questions. Pre-correction report: provenance/REPORT_v2.md. Validation: VALIDATION_REPORT.md.

TL;DR

  • Green slopes G′_uu ~ c_x log n confirmed to ~1e-4: corner 2/π, flat 1/π, interior 1/(2π); ratio 4.002 : 2.000 : 1.
  • Exact identity chain [T]: 1/(Nλ₀) = G′_uv(n) + (1+R_eff′)/s_θ (up to the O(λ₀) shift) — phase enters only additively; the slope is phase-independent as a consequence.
  • Exact collapse: y⁻¹ = 1 + R_eff′ + s_θ·G′_uv(n). The fitted r* = R_eff′ + s_θ·β₀ is phase-dependent — not an identification of R_eff′ (plateau check: 0.3023473 vs 0.3023443).
  • Z_n extrapolation: c = 0.63660(5) ≈ 2/π (O(1/log n) correction fit, corner θ=π).
  • 3D box: λ₀ = Θ(n⁻³) (n⁻² refuted); matched-n phase ratios cross the s_θ-ratio — phase visible in the leading constant (transient geometry).
  • Corner-zero explained [T]: U = diag(g)·T commutes with L_π iff θ=π; +1 sector forces ψ(corner)=0 exactly; ground state in +1 sector for all tested n=3…128 [N].
  • Refuge bound holds 18/18; torus limit unresolved at n≤192.

Contents

  • u1_experiment_v2.py — main experiment script (validate|sweep2d|green|refuge|torus|box3d|plots|upload)
  • audit/ — audit-fix scripts (derived | sector | reorg | report stages)
  • measurements.csv, green.csv, torus.csv, box3d.csv, refuge.csv, groundstates.npz (the *_rows.json files are the raw row dumps behind each CSV)
  • sector.csv — θ=π symmetry/sector check; zn_recomputed.csv, box3d_matched.csv, constants.json — audit-derived metrics
  • summary.json, validation.json, env.json
  • plots/fig1…fig8 — figures
  • v1/ — round-1 run kept for provenance (superseded); provenance/REPORT_v2.md — pre-audit report

Reproduce: U1_OUT=out python u1_experiment_v2.py validate,sweep2d,green,refuge,plots,upload then validate,torus,box3d,upload; audit pass: python audit/audit_main.py derived,sector,reorg (deps: numpy 2.5.3, scipy 1.18.1, pyamg 5.3.0, matplotlib; all CPU).

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