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 (Rdist) and duplication (Rdup). 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