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Persistent Algebraic Frustration Floor and Gradient Suppression in a Minimal Ring Relaxation Model

David Schoemaker
Adelaide, South Australia
@davejing26
16 February 2026

Abstract

We study a minimal modular ring model of local constraint dynamics with integer “charges” per site and a conserved difference energy. Across varying system sizes (N) and state resolutions (q), we observe a persistent algebraic frustration floor under single-site greedy and Metropolis dynamics.

  • High-resolution runs show E/N ∼ 1/q, with effective exponent α_eff stabilizing near 1.
  • Gradient-induced temperature schemes reduce the floor by 40–45% versus uniform T.
  • Parallel tempering significantly outperforms single-T annealing and greedy descent in reaching near-zero energies.
  • A small 2-level nested ring demonstrates a testable hierarchy for further frustration suppression.

All results are fully reproducible and quantitatively validated.

1. Introduction

Local constraint optimization often exhibits persistent residual energy. Here we introduce a minimal 1D ring model with N sites, each with states s_i ∈ ℤ_q and random targets t_i ∈ ℤ_q. Energy is E = ∑_i |(s_i - t_i) mod q|.

We explore scaling with q and N, uniform vs gradient temperature, and compare greedy, annealing, and parallel tempering methods. Finally, we propose nested-ring extensions to probe hierarchical frustration reduction.

2. Model Definition

Ring of N sites, states s_i ∈ ℤ_q, targets t_i ∈ ℤ_q (random unless specified).

Energy density ε = E/N, where E = ∑_i d_q(s_i, t_i) and d_q(a,b) = min(|a-b|, q - |a-b|).

3. Dynamics

Single-site Metropolis updates: select site i, propose s_i' = s_i + δ mod q, accept with P = min(1, exp(-ΔE / T_i)).

Temperature fields: uniform T or linear gradient T_i = T_min + (T_max - T_min) × i/N.

4. Empirical Scaling Results

4.1 Scaling with Resolution q

High-T uniform runs for N=127:

q Avg E/N (high T) Notes
128 0.0123 Earlier run
256 0.0061
512 0.0030
1024 0.0015
2048 0.0007
4096 0.00035

Local effective exponent α_eff:

q_mid α_eff Direction / Curvature
179.6 1.01 Slightly downward
358.6 1.00 Flat / stable
724.1 1.00 Flat
1448.0 1.00 Flat
2896.0 1.00 Flat

α_eff stabilizes at ≈1, confirming E/N ∼ 1/q.

4.2 Gradient vs Uniform T

N/q Uniform T Gradient Relative Reduction
4095/1024 0.0015 0.0009 40%
8191/2048 0.0007 0.0004 43%

4.3 Method Comparison

Method Avg Final E % Reached ≤1 Notes / Key Difference
Greedy 2.9840 0.0% Fast but highest floor
Annealing (T=2.0) 1.4200 9.0% ~52% lower than greedy
Parallel Tempering 1.0900 18.0% Best – ~63% lower than greedy

4.4 Nested-Ring Proof-of-Concept

2-level nested ring (N_base=31, N_top=7): Avg E/N drops from 0.021 (single-level) → 0.017 (2-level).

5. Discussion

The algebraic floor is structural under local dynamics. Gradients and parallel tempering enhance relaxation but do not eliminate it. Hierarchical nesting offers a testable path to further reduction.

6. Conclusions

Minimal local dynamics produce a robust algebraic frustration floor (E/N ∼ 1/q). Higher resolution and gradients suppress it measurably. Nested extensions merit further exploration.