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June 22, 2026· Zenodo (CERN European Organization for Nuclear Research)
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The Universal Form of Historical-Genetic Logic: From the Propositional Matrix to the Computable Index

Authors:AKATERINH XENOPOULOU-TYROKOMOUEpameinondas Xenopoulos

Abstract

The Universal Form of Historical-Genetic Logic: From the Propositional Matrix to the Computable Index DOI: 10.5281/zenodo.20799967 Author: Aikaterini Xenopoulou TyrokomouIndependent ResearcherORCID: 0009 0004 9057 7432Email: [email protected] Theoretical Foundation: Epameinondas Xenopoulos †Based on the Historical Genetic Logic of Epameinondas Xenopoulos, Epistemology of Logic: Logic – Dialectic or Theory of Knowledge (posthumous 2nd ed., 2024) [1, 2]Independent ResearcherORCID: 0009 0000 1736 8555† In memoriam (1920–1994) METHODOLOGICAL NOTE The present work mathematizes and extends central ideas of the formal-dialectical logic of Epameinondas Xenopoulos [1,2], with the direct aim of creating a computable and applicable tool. The mathematical expression of concepts such as dialectical intensity, historical memory, and the critical threshold constitutes a fully explicit, functional, and deliberate interpretative choice. Other consistent mathematizations are equally possible; here we choose those that ensure computational stability, transparency, and broad applicability. The work introduces original mathematical elements (such as the historical memory functions τ(t) and paradox factor Π(t), the stochastic extension, and the explicit form of the synthesis operator). These elements are presented as proposals of the author and are not attributed to Xenopoulos. The theoretical background, the fundamental categories, the logical principles, and the overall architecture belong to the work of Xenopoulos. The systematic formalization, the mathematical analysis, the proofs of the index properties, and the computational applications constitute the original contribution of the present work. ABSTRACT This work introduces the XEPTQLRI index, a computable, domain-agnostic diagnostic tool for anticipating critical transitions in complex dynamical systems. The index is grounded in the formal-dialectical logic developed by the Greek philosopher Epameinondas Xenopoulos (1920–1994), which treats contradiction not as an error but as the driving force of qualitative change. The index quantifies the "dialectical pressure" building within a system prior to a bifurcation. It combines three components: (1) dialectical intensity T(t), expressed as the harmonic mean of opposing tendencies ("Being" B(t) and "Non-Being" N(t)); (2) historical memory τ(t), capturing the direction and momentum of change; and (3) a paradox factor Π(t), which registers whether the system has historically experienced extreme opposing states. The index is defined as: Ξ(t) = [ T(t) · τ(t) · (1 + Π(t)) ] / Θ₀ where Θ₀ is a system-specific critical threshold. We prove that for systems undergoing pitchfork, transcritical, or Hopf bifurcations, the condition Ξ(t) = 1 coincides exactly with the vanishing of the maximum Lyapunov exponent — the mathematical signature of impending instability. The index is invariant under affine transformations of the coherence function, computable in linear time, and provides quantifiable early warning signals. Empirical validation across seven diverse fields — stochastic differential equations, COVID-19 epidemiology, LSTM networks under extreme noise, composting kinetics, open thermodynamics, Lindblad quantum systems, and strategic decision-making — demonstrates that the index reliably detects imminent qualitative shifts, often months before observable regime changes. The XEPTQLRI index offers a rigorous, efficient, and broadly applicable framework for early warning in nonlinear and complex systems, bridging dialectical philosophy with modern dynamical systems theory. Keywords: Historical-Genetic Logic, Formal-Dialectical Logic, Propositional Matrix of the World, XEPTQLRI Index, Dialectical Intensity, Historical Memory, Paradox Factor, Aufhebung, Critical Transitions, Phase Transitions, Bifurcations, Early Warning Signals, Maximum Lyapunov Exponent, Nonlinear Dynamics, Complex Systems, COVID-19 Epidemiology, Quantum Systems, Lindblad Equation, LSTM Neural Networks, Stochastic Differential Equations, Structural Stability, Dual Temporality. Lead Paragraph Detecting critical transitions before they happen: A dialectical index for early warning in complex dynamical systems Predicting when a complex system is about to undergo a qualitative change—whether a pandemic wave, a financial collapse, or a quantum phase transition—remains one of the most challenging problems in nonlinear science. Conventional early-warning indicators often fail to capture the slow accumulation of internal contradiction that precedes a bifurcation. Drawing on the formal-dialectical logic of the Greek philosopher Epameinondas Xenopoulos, we introduce the XEPTQLRI index, a novel pre-transitional diagnostic tool that quantifies the "dialectical pressure" building within a dynamical system. The index combines three components: dialectical intensity (the harmonic mean of opposing tendencies), historical memory (the direction and momentum of change), and a paradox factor that registers whether the system has experienced extreme opposing states in its past. We prove that, for systems undergoing pitchfork, transcritical, or Hopf bifurcations, the index crossing unity coincides exactly with the vanishing of the maximum Lyapunov exponent—the mathematical signature of impending instability. Empirical validation across seven diverse domains—from stochastic differential equations and COVID-19 epidemiology to LSTM networks under extreme noise, composting kinetics, open thermodynamics, the Lindblad equation for open quantum systems, and strategic decision-making—demonstrates that the index provides reliable early warnings, often months in advance of observable regime shifts. The XEPTQLRI index offers a mathematically rigorous, computationally efficient, and domain-agnostic framework for anticipating critical transitions in nonlinear and complex systems. INTRODUCTION The study of change runs throughout the entire history of philosophy. From Heraclitus ("πάντα ῥεῖ" – "everything flows") to Hegel, Marx, and Piaget, thought recognizes reality as an uninterrupted process of genesis, contradiction, and transcendence. Formal logic, although an indispensable tool of science, is founded on the abstraction of time and the principle of non-contradiction (p · ¬p = 0). The Greek philosopher Epameinondas Xenopoulos (1920–1994) developed a Historical-Genetic Logic (or formal-dialectical logic) that incorporates contradiction as the driving force of knowledge, bridging the gap between static formal thought and the dynamic flow of reality. In his work "Epistemology of Logic" [1,2], Xenopoulos establishes three central structures: 1. The epistemological correspondence Sπ ↔ Y(L, B, Θ): knowledge is born from the practical interaction of the subject-in-action (Sπ) with the object (Y), which is analyzed into logical structure (L), material substrate (B), and concrete position (Θ). 2. The Propositional Matrix of the World: a formal structure where each proposition carries a truth value from a discrete fractional spectrum {0, ½v, ½²v, …, 1} and passes through dialectical stages: thesis (A), development of negation (B), rupture (Γ), and new synthesis (Δ). 3. The operator N[Fi(Gj)]: the logical engine that drives propositions from one stage to another, expressing the necessary synthesis of thesis and its negation. The present article mathematizes and operationalizes these structures, giving them an explicit, computable form. For each concept we propose specific mathematical expressions. These choices are functional, not theoretically unique. The present form was chosen for its computational stability, broad applicability, and clear philosophical correspondence. The resulting XEPTQLRI index is not a simple statistical method, but the computable implementation of the dialectical operator itself in a specific, explicit mathematical framework. The empirical verification of the index in seven diverse fields (from stochastic dynamics to neural networks and epidemiology) demonstrates the practical power of this mathematization. PART I – THEORETICAL FOUNDATION 1. The Epistemological Correspondence: Sπ ↔ Y(L, B, Θ) Every cognitive process begins from the practical relation of the subject with the world. Xenopoulos [1,2] conceives this relation as an epistemological correspondence between two poles: · Sπ (Subject-Action): the subject in its active, transformative activity. Sπ is process, not state. It changes the world through action. · Y(L, B, Θ) (Object): the object of knowledge analyzed into three components: o L (Logos): the logical structure, the regularity, the form. o B (Matter): the material substrate, the content. o Θ (Thesis): the concrete spatiotemporal existence. The action Sπ modifies the object Y. This modification, assimilated by the subject, produces knowledge Sα = f(Sπ, Y). The correspondence is dialectical: action transforms the object, the transformation transforms knowledge, and new knowledge guides new action. Knowledge is not a passive image, but a historical product of interaction. This fundamental correspondence constitutes the cornerstone of every formal-dialectical analysis. 2. The Propositional Matrix of the World The knowledge born from the correspondence Sπ ↔ Y crystallizes into a dynamic formal structure: the Propositional Matrix [1,2, pp. 247-249]. Definition 1 (Proposition). A proposition P is defined as: P(x, y, z, t) = [v, τ, σ] with: · v ∈ V = {0, ½v, ½²v, …, 1}: the truth value on a fractional scale. 0 marks complete contradiction ("zero identity"), 1 marks the new integrated synthesis. · τ ∈ {T, D, TD}: the type of proposition (Formal, Dialectical, Formal-Dialectical). · σ ∈ {A, B, Γ, Δ}: the dialectical stage: o A (Thesis): stable formal knowledge. o B (Development of Negation): emergence of internal contradiction. o Γ (Rupture): critical

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