Standing Algebra (Σᴿ) — Version 6. 5 (See StandingAlgebraSigmaR v6. 5. pdf) Below is a link to the working GitHub Repository as well as a direct link to a toy model file for a Closure Theoretic AI Policy Layer Kernel that this math is capable of producing. JonRademacher/standing-algebra: Standing Algebra (Σᴿ): A formally verified admissibility framework for autonomy‑preserving transformations, validated in Coq, Lean, and SMT (Z3). ClosureTheoreticAIPolicyLayerKernel. py Standing Algebra (Σᴿ) is a closure‑theoretic framework for admissibility enforcement under structural invariants. It provides a formal method for projecting arbitrary proposals onto legitimacy envelopes defined by domain‑specific constraints, without introducing optimization, ranking, or internal decision authority. In operational terms, Σᴿ performs: F↦L (F) F L (F) F↦L (F) where FFF is an admissible proposal and L (F) L (F) L (F) is its legitimacy envelope under declared invariants. Illegitimate proposals are not discarded but normalized via projection onto the closure frontier of legitimate operations. Deviation between a proposal and its legitimacy envelope is retained as a diagnostic signal and does not induce preference ordering among legitimate envelopes. Σᴿ therefore functions as: a constraint‑normalization layer a policy admissibility firewall a representation‑level enforcement mechanism and explicitly not: a triage system an allocator an optimizer or a decision engine Interoperable Constraint Geometry (ICG) Version 6. 5 formally introduces Interoperable Constraint Geometry (ICG) as a structural extension of the Σᴿ framework. ICG describes families of admissibility spaces connected via constraint‑preserving morphisms, enabling interoperability of legitimacy envelopes across domain‑specific normalization systems. Given admissibility spaces AAA and BBB with legitimacy envelopes: LA: A→AandLB: B→BLA: A A LB: B BLA: A→AandLB: B→B an admissible interoperability morphism: ϕ: A→B: A Bϕ: A→B satisfies: ϕ (LA (F) ) ⊆LB (ϕ (F) ) (LA (F) ) LB ( (F) ) ϕ (LA (F) ) ⊆LB (ϕ (F) ) for admissible proposals F∈AF AF∈A. This ensures that legitimacy projections commute under admissible transfer between constraint geometries. ICG therefore enables: interoperability between physical system models transfer between dynamical admissibility spaces cross‑domain constraint projection envelope‑preserving normalization under domain translation while preserving: non‑domination plural legitimate envelopes and selector exclusion. Domain extensions introduced in Versions 6. 26–6. 56 instantiate admissibility geometries interoperable under ICG. Status Prior to Version 6. 5 Earlier versions (≤ 6. 0) established: Legitimacy as a closure operator Kernel sets as fixed‑points under legitimacy envelopes Frontier sets as maximal antichains of admissible but non‑legitimate operations Envelope normalization as a structural admissibility filter At that stage, Σᴿ functioned primarily as a: structural classification system for legitimacy under invariants. However, operational deployment revealed the need to: retain deviation from legitimacy observe policy conflict multiplicity quantify correction magnitude evaluate behavior under representation drift and support reproducible regression testing Version 6. 5 introduces these observables without modifying Tier‑1 axioms or Tier‑2 legitimacy definitions. Version 6. 5 — Structural Normalization with Observable Diagnostics Version 6. 5 extends Σᴿ from a purely classificatory closure system to a: projection‑based normalization framework with measurable deviation from legitimacy under drift. Three admissible diagnostic observables are now defined: 1. Legitimacy Deviation Functional For admissible FFF: Dev (F): =d (F, L (F) ) Dev (F): = d (F, L (F) ) Dev (F): =d (F, L (F) ) Dev (F): quantifies structural distance from legitimacy is non‑negative vanishes iff F=L (F) F = L (F) F=L (F) does not authorize ranking among legitimate envelopes 2. Frontier Multiplicity Observable Let Fr (E) Fr (E) Fr (E) denote the legitimacy frontier. μ (E): =∣Fr (E) ∣ (E): = |Fr (E) |μ (E): =∣Fr (E) ∣ Then: μ (E) =1 (E) = 1μ (E) =1 ⇒ unique legitimate envelope μ (E) >1 (E) > 1μ (E) >1 ⇒ plural legitimate envelopes (policy conflict) Frontier multiplicity is diagnostic only and does not mandate selection. 3. Normalization Instability Index For a sequence of proposals Ft\Fₜ\Ft: I: =lim supt (Rej (Ft) +Dev (Ft) +Corr (Ft) ) I: = ₜ (Rej (Fₜ) + Dev (Fₜ) + Corr (Fₜ) ) I: =tlimsup (Rej (Ft) +Dev (Ft) +Corr (Ft) ) where: Rej = rejection frequency Dev = deviation from legitimacy Corr = envelope correction magnitude I measures structural instability under representation drift. Reproducibility and Regression Support Σᴿ Version 6. 5 now supports: seeded perturbation runs regression snapshots frontier multiplicity tracking envelope correction magnitude deviation under stochastic contamination All admissibility projections are reproducible under declared seeds and may be regression‑tested against prior snapshots. Diagnostics remain: nonauthoritative nonaggregative nonselective Normalization acts as a projection layer and does not imply outcome selection. Domain‑Specific Admissibility Geometries Interoperable under ICG The Σᴿ closure framework has now been extended to: Version Domain Extension 6. 26 Topological Applications & Field Theory 6. 43 Continuity Systems 6. 44 Electrostatics 6. 45 Fluid Dynamics 6. 452 Magnetostatics 6. 46 Elasticity 6. 47 Wave Propagation 6. 48 Control Theory 6. 49 Constraint Mechanics 6. 50 Causal Structure 6. 51 Reaction–Diffusion Systems 6. 52 Graph Dynamics & Network Flow 6. 53 Percolation & Threshold Collapse 6. 54 Information Flow Security 6. 55 Interoperable Constraint Geometry (ICG Declaration) 6. 56 Amalgams from ICG These extensions demonstrate closure‑based admissibility projection across: physical systems dynamical systems networked systems informational security domains and constraint‑coupled hybrid geometries Interpretation Σᴿ now functions as: a constraint‑normalization middleware for admissible representation spaces under structural invariants. It provides: envelope projection conflict exposure deviation observability drift diagnostics while preserving: plural legitimate envelopes non‑domination and selector exclusion Citation If you use or reference Standing Algebra Σᴿ Version 6. 5, please cite this Zenodo release.
Jonathan Rademacher (Mon,) studied this question.
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