Reduced Thermodynamic-Topological Observables for Multiscale Dissipative Systems. A fusion-relevant shell-model study of detection, design screening, and conservative operation

TL;DR

This paper develops a set of reduced thermodynamic-topological observables for multiscale dissipative systems, demonstrating their effectiveness in detecting events and optimizing operation in a fusion-relevant shell model.

Contribution

It introduces a practical, interpretable layer of observables for complex systems, validated on a fusion-relevant shell model, enhancing detection, design screening, and operational efficiency.

Findings

High detection accuracy with local Prigogine-style channel

Early detection of energy-collapse proxies

Significant efficiency improvements in conservative operation

Abstract

We introduce a reduced set of thermodynamic-topological observables for ordered multiscale dissipative systems. An interface-local quadratic reduction produces bounded integrity and residual channels, a flux-force stability channel, a weighted path-graph bottleneck channel, and a coarse-graining drift indicator. The goal is practical rather than universal: a compact and interpretable layer of observables that can be computed repeatedly and compared across regimes. The main case study is a fusion-relevant MHD Sabra shell model. Across 400 synthetic anomalous-dissipation probes, the local Prigogine-style channel detects 400/400 events, while a composite alarm detects 399/400 with lower latency. When an OPCR trigger and an energy-collapse proxy are both observed within the same event, the earliest OPCR trigger leads the proxy by 11.29+/-13.49 model-time units on average (median 6.15, IQR [1.23, 17.22]; 255/313 early cases). A scan over 5000 coupling geometries raises the best log-Cheeger conductance from a baseline mean 0.07475+/-0.00171 to 0.09465 (+26.6%), whereas the current minimum-Phi geometry remains below the baseline mean. For operation, integrity-aware actuation and a conservative Phi-instrumented variant achieve 3.01x and 3.02x the recovery-per-unit-power efficiency of a uniform baseline. These numerics support a topology-first reading of the framework: hlog is credible as a Phase-1 design-screening observable, whereas Phi is presently best viewed as an operational or certification score. For fusion, the natural target is stellarator configuration screening, where magnetic topology dominates. A short appendix gives a toy neural-network portability check and is not used for the paper's main claims.