Edge-Distance Dependence of the Full Moment Hierarchy
Abstract
We extend the Boundary Removal Theorem to all central moments of the Shor-Laflamme distribution for path graphs with a single added edge. The full moment hierarchy reveals a resolution hierarchy: variance is completely position-blind, skewness distinguishes bulk from boundary, kurtosis shows a staircase pattern with full spatial sensitivity, and higher moments resolve increasingly fine detail of where the feedback edge closes. Higher moments resolve finer spatial detail — consciousness measurements at different "resolutions" see qualitatively different things about the same system.
1. The Resolution Hierarchy
2. μ₃ Position Dependence
| d range | Δμ₃ | Description |
|---|---|---|
| d ≤ 3 | 0 | Too short, no effect |
| d = 4 | 3/16 | Near-boundary ramp |
| d = 5 | 9/32 | Near-boundary ramp |
| 6 ≤ d ≤ n-4 | 3/8 | Bulk plateau |
| d = n-3 | 15/32 | Far-boundary enhancement |
| d = n-2 | 3/8 | Return to bulk |
| d = n-1 | 9/16 | Cycle closure |
3. μ₄ Staircase Data (n = 16)
| d | Δμ₄ | Step from previous |
|---|---|---|
| 4 | -73/32 | — |
| 5 | -41/16 | -9/32 |
| 6 | -47/16 | -3/16 |
| 7 | -25/8 | -3/16 |
| 8 | -103/32 | -3/32 |
| 9 | -103/32 | 0 |
| 10 | -103/32 | 0 |
| 11 | -53/16 | -3/32 |
| 12 | -53/16 | 0 |
| 13 | -7/2 | -3/32 |
| 14 | -97/32 | +9/32 (boundary drop) |
| 15 | -85/16 | -73/32 (cycle jump) |
Steps come in units of 3/32, 6/32, 9/32 — all multiples of 3/32. The denominator 32 = 2⁵ is universal for μ₄.
4. The Key Insight for Consciousness
Higher moments resolve finer spatial detail of where the feedback edge closes. This means consciousness measurements at different "resolutions" (different moments of the correlation spectrum) see qualitatively different things about the same system.
A consciousness measure based only on variance (μ₂) would see any feedback loop as identical — it's position-blind. But a measure that includes kurtosis (μ₄) would distinguish a tight local feedback loop from a global self-referential one. The staircase structure means the measure's spatial resolution improves with the moment order.