This paper derives the core structure of Relational Field Theory (RFT) from a minimal set of constraints, showing that the multiplicative coherence functional ( R_c = \alpha \cdot \beta \cdot \gamma ) and the linear persistence law ( \frac{dR_c}{dt} = -\lambda R_c + F_{int} ) emerge naturally rather than being arbitrarily chosen. The derivation is based on four principles: collapse invariance, relational closure, measurability, and stability. It demonstrates that alternative functional forms either violate these constraints or fail to reproduce the observed phenomenology, including persistence, critical slowing, hysteresis, and coherence wells. Up to monotonic transformations and scaling, the resulting structure represents the minimal continuous and invariant form consistent with the constraints. This work provides a foundational justification for the RFT framework and clarifies why its core formulation arises as the simplest structure that satisfies both physical and operational requirements.
This paper derives the core structure of Relational Field Theory (RFT) from a minimal set of constraints, showing that the multiplicative coherence functional ( R_c = \alpha \cdot \beta \cdot \gamma ) and the linear persistence law ( \frac{dR_c}{dt} = -\lambda R_c + F_{int} ) emerge naturally rather than being arbitrarily chosen. The derivation is based on four principles: collapse invariance, relational closure, measurability, and stability. It demonstrates that alternative functional forms either violate these constraints or fail to reproduce the observed phenomenology, including persistence, critical slowing, hysteresis, and coherence wells. Up to monotonic transformations and scaling, the resulting structure represents the minimal continuous and invariant form consistent with the constraints. This work provides a foundational justification for the RFT framework and clarifies why its core formulation arises as the simplest structure that satisfies both physical and operational requirements.
This paper shows that the core structure of Relational Field Theory (RFT) admits a consistent variational formulation under the same minimal constraints developed in the preceding derivation. Starting from a relational action constructed to satisfy closure and measurability requirements, the operational coherence functional ( R_c = \alpha \cdot \beta \cdot \gamma ) and the persistence law ( \frac{dR_c}{dt} = -\lambda R_c + F_{int} ) re-emerge as the minimal forms compatible with collapse invariance, relational closure, measurability, and stability. The work does not claim an independent first-principles derivation; rather, it demonstrates that the established RFT core is internally consistent with a least-action-like relational structure. This strengthens the foundational coherence of the framework and provides a bridge toward deeper mathematical and geometric extensions.
This note clarifies the conceptual role of Relational Field Theory (RFT) and positions it as a cross-domain organizing principle rather than a domain-specific model or a replacement for existing physical theories. RFT introduces a minimal structure: a coherence field R_cgoverned by a persistence law, and an adaptive domain closure that makes memory state-dependent. From this minimal structure, the framework reproduces recurring dynamical signatures across multiple regimes, including: spontaneous threshold crossing, critical slowing, hysteresis, coherence wells, and persistent structured correlations under noise. The purpose of this paper is to show that RFT functions in a role analogous to thermodynamics or information theory: it does not replace the underlying dynamical laws of a system, it constrains the conditions under which coherence and temporal order can emerge within those dynamics, and it remains substrate-independent, with different domains corresponding to different projections of the same underlying structure. To illustrate this organizing role, the paper includes a numerical demonstration of coherence revival in a strongly driven open quantum system using the RFT adaptive kernel. This simulation is not presented as proof of the effect, but as a minimal demonstration that the framework generates the predicted qualitative behavior. A reproducible Python implementation is included in the appendix. This framing helps distinguish RFT from a constructed metric or simulation-specific method. Instead, it supports the interpretation of RFT as a structural constraint on persistence-driven coherence across classical, quantum, and complex systems.
This document presents the formal mathematical axiomization of Relational Field Theory (RFT), establishing a single ontological primitive— the bounded scalar coherence field —and deriving the self-referential domain constraint .The Axiom Sheet (A1–A9) formalizes the Kernel identity, coherence evolution equation, domain threshold conditions, Genesis principle, and measurement-as-locking interpretation. A second section provides representative derived theorems showing how known physical laws emerge as limiting behaviors of and , including: Schrödinger equation as phase-locked Kernel dynamics Newtonian mechanics as low-curvature Rc trajectories General relativity as effective curvature geometry of Rc Maxwell/gauge structure as coherence-preserving invariants Thermodynamics as entropy of coherence loss Absence of physical singularities from Rc-threshold constraints This document serves as the foundational formal layer for the full RFT corpus, establishing the axiomatic base from which all subsequent proofs and derivations follow.
This paper presents the application of Relational Field Theory (RFT) to random circuit sampling (RCS), a standard benchmark in quantum computing. Building on the reduced relational law: {\dot{R}}_c=-\lambda R_c+F_{int},\bigm and the operational coherence functional: R_c=\alpha\cdot\beta\cdot\gamma,\bigm the framework is applied to reported RCS data from superconducting qubit experiments. Within this setting: α corresponds to distribution sharpness (e.g., cross-entropy benchmark or peak statistics) β reflects circuit connectivity and gate structure γ captures persistence across circuit depth and repeated runs Using published results, the relational coherence functional is evaluated against observed behaviors in RCS systems, including: Persistence of structured output distributions beyond expected circuit depth Formation of coherence wells, where structure remains stable under noise Attractor-like clustering of high-probability output states Suppression of entropy relative to fully randomized expectations These observations are consistent with the four falsifiable predictions introduced in RFT v2.0: critical slowing near coherence thresholds hysteresis-like behavior under parameter variation persistence in coherence wells emergence of structural anchors This work does not modify quantum mechanics or attempt to reproduce standard RCS results. Instead, it provides a structural interpretation of observed behavior using a coherence-based framework applied to existing experimental data. The results extend Relational Field Theory from classical and toy-model systems into the quantum domain, supporting its potential as a cross-domain framework for understanding persistence, structure, and transition dynamics.
This paper reframes the Heisenberg uncertainty principle as a coherence-driven stability limit in Relational Field Theory (RFT), governed by the variational constraint \delta\int(1-R_c(t))dt=0. Uncertainty emerges as a trade-off imposed by coherence dynamics and measurement interaction, with thermodynamic dependence through entropy and temperature modulation. The work builds on RFT’s coherence-based derivation of the Born rule (OSF DOI: 10.17605/OSF.IO/UC6A3) and proposes falsifiable experimental signatures in modern quantum optics and ion-trap-class measurement platforms.
## Title The Relational Closure Framework: From Relations to Matter via Causal Consistency ## Authors Mingdong He (Independent Researcher, ORCID: 0009-0009-5176-7571) ### Overview This deposit contains the complete source code and compiled PDF of the Relational Closure Framework (RCF) version 2.0C, a relational approach to the foundations of physics developed as a candidate contribution to Hilbert's sixth problem (the axiomatization of physics). The framework proposes that the universe is constituted by **relations** rather than objects. Stable relations form **closures** (self-consistent cycles); closures generate topological invariants (holonomies); and these invariants underpin all physical structures—conservation laws, the least-action principle, the Born rule, dimension, geometry, and matter—as emergent phenomena of the closure network at different scales. ### What is new in v2.0C Version 2.0C introduces a **causal consistency principle**: physical existence requires causal consistency as a precondition, not as a consequence of continuous spacetime. What appears as continuity is reinterpreted as **pseudo-continuity**—the statistical artifact of mutually constraining discrete closures. This reframing dissolves (rather than solves) the continuum-limit problem that has obstructed discrete approaches to physics for decades. Key new results in v2.0C: 1. **Causal consistency as physical precondition** — The speed of light is derived as the enforcement mechanism for causal consistency (not an arbitrary postulate). 2. **Randomness from constraint gaps** — Quantum probability arises naturally from the incompleteness of discrete constraints, not from an axiom. 3. **Wave function as constraint-gap envelope** — The wave function exists because the network is discrete; it "waves" because holonomy phases interfere; it is non-classical because it carries probability, not energy. 4. **Schrödinger equation from pseudo-continuity** — Via the Madelung transformation, the Schrödinger equation is shown to emerge from: (i) holonomy action stationarity (Hamilton–Jacobi), (ii) constraint-gap-induced probability density, and (iii) Noether conservation (continuity equation). The quantum potential is interpreted as the signature of pseudo-continuity failure. 5. **Fields as long-range constraint mechanisms** — All fundamental fields are intrinsically long-range because causal consistency is a global requirement. The de Sitter entropy (~10^122) is conjectured as the information-theoretic capacity bound on causal constraints. ### Core results (retained from v1.2) - A **generalized Noether theorem**: conservation is identified with the kernel of the exchange map, derived from axioms without assuming symmetry. - A **least-action principle**: the action is proved to be necessarily a function of closure holonomies; δS = 0 is equivalent to a non-abelian Kirchhoff law; the continuum limit recovers Maxwell and Yang–Mills equations. - The **Born rule**: stochasticity arises from the observer as an open dynamical system (Nakajima–Zwanzig); the square law |α|² is forced by the Gleason–Busch theorem under finite additivity. - The **Z₃–γ₅ algebraic correspondence**: a strict algebraic identity linking the minimal relational closure (3-cycle) to the Dirac chirality operator. - A **quantum error correction correspondence**: the Gauss-law operator is structurally identical to the toric-code stabilizer; vacuum stability is topologically protected. ### AI use disclosure This manuscript was prepared with the assistance of AI language models (Claude/ChatGPT/Gemini families) for typesetting, reference formatting, and consistency checking. All theoretical content—axioms, proofs, conjectures, and the causal consistency principle—is the sole intellectual contribution of the author. AI tools were used as a writing assistant, not as a source of scientific ideas.