This manuscript introduces the Zeus Framework, a structured variational–operator formulation for systems with a typed decomposition into curvature-like, entropy-like, and recursive components. The framework is developed as a structural class rather than as a specific physical model, with explicit separation between exact results, local and perturbative analysis, controlled realizations, and interpretive consequences. At its core, the framework consists of a variational functional with three sectoral contributions, together with a mobility-induced operator that governs system dynamics. This formulation induces a layered structure in which stationary balance, spectral behavior, and closure consistency can be analyzed independently yet coherently. The manuscript establishes a unified variational–operator formulation with mobility-weighted dynamics, a separation between stationary balance (invariant Θ) and reduced spectral behavior (invariant φ), and a closure architecture linking operator, variational, and realization consistency. It further develops a classification result based on irreducible invariant data under admissible equivalence, a topology-defined universality framework with structural persistence, and a general template theorem demonstrating how Zeus-type realizations arise from minimal structural assumptions. In addition, the work includes an operator-class embedding result identifying a broader dissipative class admitting Zeus-type structure, and a concrete anchor in the form of a reduction for a Cahn–Hilliard-type dissipative PDE, yielding an explicit stationary balance identity and a computable closure residual within the framework. The manuscript is written with explicit scope control and clearly stated non-claims. It does not propose a specific physical model, nor does it assert universal applicability beyond the defined comparison class. Instead, it provides a structural framework for organizing and analyzing systems that exhibit compatible variational, operator, and closure properties. The aim of the work is to establish a disciplined foundation for studying such systems, with emphasis on admissibility, consistency, and structural invariants, rather than domain-specific phenomenology.
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Nick Brown
University of Victoria
Decision Dynamics (United States)
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Nick Brown (Tue,) studied this question.
synapsesocial.com/papers/69d895206c1944d70ce061f4 — DOI: https://doi.org/10.5281/zenodo.19447207