Emotional Field Theory (EF) v2.0: A Formal Theory of Informational Reality, Density Dynamics and Distinguishability

This record archives version 2.0 of the Emotional Field Theory (EF) corpus by Elena Pavlova. Emotional Field Theory is a proposed formal theoretical framework treating reality as an informational field governed by two parameters: informational density ρ and the rates of distinction (R_dist) and duplication (R_dup). The framework introduces a distinction quantum Q as an ontological primitive preceding Shannon's bit, and two universal operators O₀ (duplication) and O₁ (distinction). Within EF, physical phenomena, cognitive processes, social dynamics and cosmological structures are modelled as regimes of informational density dynamics. Key features of the framework: (1) formal axiomatics with 18 axioms, 4 inference rules and 7 boundary conditions; (2) mathematical foundations including Hilbert space representation and five proven theorems; (3) physical bridge with postulate-based correspondences to gravity, mass, temperature and quantum structure; (4) social physics with 10 formal theorems covering freedom, power, conflict and civilisational dynamics; (5) three falsifiable empirical predictions testable via machine learning, cognitive science and thermodynamic experiments. The corpus contains: EF-PREPRINT v2.0 (main preprint), EF-CORE v2.0, EF-AXIOMS v2.0, EF-MATH FOUNDATIONS v2.0, EF-DEFINITIONS v2.0, EF-PHYSICAL BRIDGE v3.0, EF-SOCIAL FOUNDATIONS v2.0, EF-PRACTICE v2.0. EF is compared with Shannon information theory, Birkhoff lattice theory, Wheeler's it-from-bit, Wolfram's computational physics, loop quantum gravity, and Tononi's integrated information theory. Author: Elena PavlovaORCID iD: 0009-0008-0372-166XDOI: 10.5281/zenodo.19924326License: CC BY-NC-ND 4.0

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