Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation

arXiv cs.LG / 4/24/2026

💬 OpinionIdeas & Deep AnalysisModels & Research

Key Points

  • The paper shows that the spectral kernel field equation R[k] = T[k] does not naturally admit a conservation-law counterpart, because the fixed-point flow is strictly volume-expanding (tr DF > 0).
  • It derives an exact relationship between the per-mode conservation deficit and the Hessian stability margin (D_m = -Delta'), implying that closing the deficit requires an additional compensating contribution.
  • The authors formalize this compensation via a “distinction dynamics” equation dc/dt = G[c, h_t], and propose a MaxCal-optimal realization G_opt.
  • For fixed-topology 3D surface graphs, they prove a conditional topology-preserving compression result: keeping sufficiently many spectral modes preserves Betti-number “charges,” but they also provide a short-cycle counterexample (figure-eight) showing when the spectral-ordering assumption can fail.
  • They introduce a low-cost (O(N)) spectral diagnostic for planetary drainage networks—based on Fiedler-mode concentration, elevated curl energy, and anomalous beta_1—and note that full benchmarks and adaptive-topology extensions are left for future work.

Abstract

The spectral kernel field equation R[k] = T[k] lacks a conservation-law analog. We prove (i) the fixed-point flow is strictly volume-expanding (tr DF > 0), precluding automatic conservation, and (ii) the conservation deficit per mode equals the Hessian stability margin exactly: D_m = -Delta'. Closing the deficit requires a scene-side compensating contribution, which we formalise as the distinction dynamics equation dc/dt = G[c, h_t], with MaxCal-optimal realisation G_opt. On fixed-topology 3D surface graphs we derive a conditional topology-preserving compression theorem: retaining k >= beta_0 + beta_1 modes (under a spectral-ordering assumption) preserves all Betti-number charges; we include a worked short-cycle counterexample (figure-eight) calibrating when the assumption fails. A triple necessary spectral diagnostic -- Fiedler-mode concentration, elevated curl energy, anomalous beta_1 -- is derived for planetary drainage networks at O(N) cost. Two internal real-data sequences serve as preliminary consistency checks; full benchmarks and adaptive-topology extensions are deferred.