Post–Version 2 Roadmap: Dynamical Genesis of Complex Structure on Graphs

This roadmap summarizes the next research steps after Dynamical Genesis of Complex Structure on Graphs: Neimark–Sacker Bifurcation and Non-Abelian Holonomy (v2).
It is organized in phases and can be revisited and refined as results accumulate.


Phase 0 – Finalize v2 and Make It Reproducible

  • 0.1 Publish & archive
    • Upload Version 2 PDF to Zenodo and rtgtheory.org.
    • Write a short blog post summarizing the main results (K₃ NS, K₄ double NS, SU(2) lift idea).
  • 0.2 Public code repository
    • Create a GitHub (or similar) repository for the project.
    • Include:
      • Core simulation scripts: rtg_core.py, rtg_ns_scout, rtg_k4_quat_scout_v5.py, rtg_post_diag.py.
      • Example configs / CLI calls to reproduce:
        • K₃ single NS sweep + post-NS diagnostics.
        • K₄ double-NS sweep, post-NS run, and extra observables.
      • README.md with installation instructions and “how to reproduce figures”.

Phase 1 – Close the K₄ Story Analytically (Highest Priority)

1A. Codimension-Two Neimark–Sacker Normal Form on K₄

Goal: Derive and validate the coupled 4D normal form that explains why both NS modes on K₄ survive with comparable amplitudes and generate a 4D invariant torus.

  • 1A.1 Locate the true double-NS point
    • In the parameter space \((K, w_{\text{diag}}, \sigma_2, \varepsilon_{\text{asym}}, \dots)\), solve numerically for a point where two complex pairs satisfy \(|\lambda_1| = |\lambda_2| = 1\) and all other eigenvalues are inside the unit circle.
    • Verify transversality: \(d|\lambda_1|/dK \neq d|\lambda_2|/dK\) at this codimension-two point.
  • 1A.2 Build the 4D center manifold basis
    • Compute the Jacobian at the double-NS point.
    • Extract the four critical eigenvectors (two complex pairs), form a real 4D basis, and define a projection from the full 8D state space to complex coordinates \((z_1, z_2)\).
  • 1A.3 Fit the cubic normal form coefficients
    • Simulate the full K₄ system near the fixed point for many short runs.
    • Project the dynamics onto \((z_1,z_2)\) and fit the coupled NS normal form:
      z₁' = e^{μ₁ + iω₁} z₁ − β₁₁|z₁|²z₁ − β₁₂|z₂|²z₁ + …
      z₂' = e^{μ₂ + iω₂} z₂ − β₂₁|z₁|²z₂ − β₂₂|z₂|²z₂ + …

    • Check qualitative signs: \(\Re β_{11},\Re β_{22} < 0\) (self-damping), \(\Re β_{12},\Re β_{21} > 0\) (mutual saturation).
  • 1A.4 Compare with long-run torus data
    • Use the normal form to predict steady amplitudes \(A_1^*,A_2^*\) and compare with measured modal amplitudes on the v2 4D torus.
    • Check if the normal form reproduces the observed winding ratio \(\rho \approx 0.9\) and confirms absence of low-order resonances (supports KAM/Diophantine condition in the paper).
  • 1A.5 Draft “Part II” paper
    • Working title: “Coupled Neimark–Sacker Modes and a 4D Invariant Torus on a Frustrated K₄ Graph”.
    • Target journals: Chaos, Nonlinearity, or SIAM J. Applied Dynamical Systems.

1B. Explicit SU(2) Lift Algorithm for Small Graphs

Goal: Turn the SU(2) lift and trace–angle relation from a definition + conjecture into a constructive algorithm.

  • 1B.1 Single-triangle solver
    • Given an abelian flux \(F_\triangle\), construct an SU(2) holonomy

      \(\mathbf{H}_\triangle = \exp\big(\frac{F_\triangle}{2}\,\mathbf{n}\cdot\sigma\big)\).
    • Solve for edge transports \(U_{ij} = \exp(\mathbf{A}_{ij})\) that minimize

      \(\sum \|\mathbf{A}_{ij}\|^2\) subject to \(U_{ij}U_{jk}U_{ki} = \mathbf{H}_\triangle\).
    • This gives a minimal-norm SU(2) lift, unique up to global conjugation.
  • 1B.2 Multi-triangle compatibility on K₄
    • Extend the solver to the four triangular faces of K₄, enforcing shared edges.
    • Study when a consistent global SU(2) connection exists and how “large” the resulting \(\mathbf{A}_{ij}\) must be as frustration parameters vary.
  • 1B.3 Holonomy gap observable
    • Along K₃/K₄ trajectories, compute both:
      • Abelian flux \(F_\triangle(t)\),
      • SU(2) trace \(T_\triangle(t) = \frac{1}{2}\mathrm{Tr}\,\mathbf{H}_\triangle(t)\).
    • Define a measure like

      \(\Delta_{\text{Tr}} = \mathrm{std}_t\big(T_\triangle(t) – \cos(F_\triangle(t)/2)\big)\).
    • Report small \(\Delta_{\text{Tr}}\) as quantitative support for the trace–angle relation in dynamics.

Phase 2 – Genericity and Robustness of the K₄ Double-NS

2A. Parameter-Space Survey Around the Tuned K₄ Point

Goal: Determine whether the K₄ double-NS event is an isolated curiosity or part of a codimension-one structure in parameter space.

  • 2A.1 Choose scan parameters
    • Keep \((dt,\gamma,\phi_\triangle)\) fixed.
    • Scan a 2D grid over, e.g.:
      • \(w_{\mathrm{diag}} \in [2.55, 2.69]\),
      • \(\sigma_2 \in [-0.095, -0.088]\).
  • 2A.2 Detect NS crossings
    • For each grid point, run a K-scan in a small interval around 0.24.
    • Record:
      • Number of NS crossings (0, 1, or 2).
      • For double-NS cases: the separation \(\Delta K = |K_2^* – K_1^*|\) and the angles \(\omega_1,\omega_2\).
    • Define a threshold, e.g. “true double NS” if \(\Delta K < 10^{-3}\) and both angles nonzero.
  • 2A.3 Quick nonlinear tests
    • For promising double-NS points, run short post-NS simulations.
    • Check:
      • PSD of \(r(t)\) (1 vs 2 dominant frequency peaks).
      • Largest two Lyapunov exponents (are both near zero?).
  • 2A.4 Visualization and interpretation
    • Produce heatmaps over \((w_{\mathrm{diag}},\sigma_2)\) showing:
      • Number of NS crossings.
      • Value of \(\Delta K\) where double NS exists.
    • Discuss whether double NS appears along a 1D manifold, in small clusters, or only at a single point.

Phase 3 – Beyond Minimal Motifs (Exploratory)

3A. Embedding K₄ Modules in Larger Graphs

Goal: Test whether the K₄ 4D torus can act as a local “module” inside larger networks.

  • Construct systems with two (or more) K₄ blocks, each tuned near the double-NS point.
  • Introduce weak couplings between blocks with strength ε.
  • Study:
    • ε → 0: two independent 4D tori (8D product attractor?).
    • Small ε: do the blocks phase-lock or remain quasi-independent?
    • Larger ε: does the system collapse to a lower-dimensional attractor or become chaotic?
  • Use Lyapunov spectra and PSD analysis to characterize the resulting attractors.

3B. Octonion / k=7 Experiments

Goal: Test the conjecture that higher rungs (k=7, octonionic) may lead to torus breakdown and chaos.

  • Generate random moderately sized frustrated graphs (e.g. 8–9 nodes, mixed positive/negative couplings with multiple frustrated triads).
  • Use an automated NS scout to search for points where three complex pairs approach the unit circle.
  • For candidates, run nonlinear simulations and check:
    • PSD of \(r(t)\) (3 peaks vs broad spectrum).
    • Lyapunov spectrum (3 near-zero vs one or more positive exponents).
  • Record both positive and negative results:
    • Finding no stable 6D/8D tori supports the idea that non-associative structures naturally produce chaos.
    • Finding even one stable higher-dimensional torus would be a major result.

Phase 4 – RTG-Facing Applications (After Phase 1–2)

Once the K₄ normal form and robustness analysis are in place, it will be safe to connect these dynamical results back to Relational Time Geometry (RTG).

  • Write a conceptual paper or long-form note:
    • Map K₃ (1 NS mode → 2D torus) and K₄ (2 NS modes → 4D torus) to RTG’s emergent dimension picture.
    • Relate the normal-form coefficients and SU(2) lift to RTG’s resonant couplings and geometric data.
    • Discuss how chains or lattices of K₃/K₄ motifs might model higher-dimensional RTG structures.

Summary of Priorities

  1. Phase 1:
    • Derive and validate the coupled NS normal form on K₄ (1A).
    • Set up and document a public code repository.
    • Begin parameter sweep around the tuned K₄ point (2A).
  2. Phase 2:
    • Complete SU(2) lift algorithm and holonomy gap analysis (1B).
    • Interpret parameter-space results and finalize a “Part II” paper.
  3. Phase 3:
    • Explore embedding of K₄ modules in larger graphs (3A).
    • Run exploratory octonion / k=7 searches (3B).
  4. Phase 4:
    • Write an RTG-oriented application paper building on the rigorous dynamical results.

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