EF-Emotion Dynamics v1.0: A Density-Based Account of Emotional States, Transitions, and Recovery in Emotional Field Theory
Year: 2026
Type: report
Abstract: EF-Emotion Dynamics v1.0 is an Applied Research Module (Series C1) of Emotional Field Theory (EF). It develops the formal account of emotion established in EF-AXIOMS v2.0 (Axiom A6: Emotion = ∂ρ/∂t) and proved as Theorem 5 of EF-PREPRINT v2.0 into a standalone domain treatment. The central proposal is that emotion, in the EF framework, is the agent-level registered signal of a change in informational density over time: ∂ρ/∂t. Emotion is neither a primary ontological entity nor a subjective epiphenomenon; it is a structural indicator of the direction and rate of change of density ρ in the agent's distinguishability field Σ. The document: (1) provides a complete domain translation of canonical EF variables into the emotional domain; (2) proves eight propositions concerning emotional density dynamics, regime transitions, conductance, and recovery; (3) classifies eight canonical emotional states by their formal density signatures; (4) formally distinguishes emotion, mood, affect, and trauma-like Σ-collapse; (5) provides a scope- and contraindication-bounded density observation protocol; and (6) derives five falsifiable predictions with explicit falsification conditions and v0-labelled unvalidated proxies. To the author's knowledge, this is the first formal account in which emotion is defined primarily as the temporal derivative of informational density within a distinguishability field. The priority claim is narrow and formal: it concerns this specific mathematical architecture, not the general discovery that emotions involve cognitive, bodily, or social processes. This document is not a clinical, psychiatric, or therapeutic framework. EF-operational terms denote formal density signatures, not clinical diagnoses. The density observation protocol is a structured self-observation heuristic, not a validated psychometric instrument. Compatible with: EF-CORE v2.0 · EF-AXIOMS v2.0 · EF-MATH FOUNDATIONS v2.0 · EF-PRACTICE v2.0 · EF-TOPOLOGICAL FOUNDATIONS v1.0 · EF-DYNAMICAL SYSTEMS v1.0 Theory corpus DOI: 10.5281/zenodo.19924326MSC2020: 91E45 · 03B60 · 94A17License: CC BY-NC-ND 4.0
Author: Pavlova, Elena
Language: English
Subfield: Philosophy
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7161410158