Emotional Field Theory · 2026

Density
shapes
everything.

A unified mathematical framework describing cognitive, social, and physical systems as informational objects governed by a single dynamic law.

Core dynamic law
ΔIA = I·P − S
ΔIA Change in informational density — compression or expansion of the agent's distinguishability field
I·P Incoming flow × conductance — what enters and how freely it passes
S Structural resistance — accumulated density blocking new patterns
ρ → low conductance
Core idea

Reality is an
informational field.

Every system — cognitive, social, physical — can be described as a distinguishability field Σ with a density ρ. The fundamental question is not "what is happening" but "how is density changing."

01
Emotion is ∂ρ/∂t
Emotion is not a label. It is the registered experience of your field compressing or expanding — the sign and magnitude of density change over time.
02
Attention is conductance
The attention economy has mistaken capture for influence. What matters is not whether information arrives — but whether it passes through at all.
03
Repetition builds resistance
Every repeated pattern that arrives before value is experienced adds structural resistance S. This is why the same message stops working — the structure is blocked, not the message.
04
One formalism, all scales
The same operators O₀ (repeat) and O₁ (new distinction) govern individual cognition, social systems, and physical field dynamics. The language is unified.

A layered
formal system.

EF Theory is built in explicit dependency layers — from primitive axioms to applied modules. Each layer is formally compatible with those above and below it.

CORE v2 Primitive definitions · Axioms · Operators
MATH v2 Mathematical foundations
TOPO v1 Topological foundations
DYN v1 Dynamical systems · Attractors · Loops
APPLIED Domain modules — active research
C1 · Emotion Dynamics
Emotion as density derivative
Formal account of emotional states, transitions, and recovery trajectories in terms of ∂ρ/∂t.
C2 · Informational Paralysis
Density traps and stasis
When high-ρ systems lose conductance. Structural model of cognitive and social paralysis.
C3 · Relational Fields
Coupled agents and dyadic dynamics
Density transfer between agents. Formal account of attachment, synchrony, and relational resistance.
ATT · Attention Conductance
Attention propagation in media systems
Structural model for influence, media strategy, and informational conductance at scale.

Where EF
applies.

The formal layer is one. The application domains are many. Each uses the same operators, the same density logic, the same resistance model.

ρ
Individual psychology
Emotional regulation, cognitive load, attention fatigue, recovery from paralysis — all described as density trajectories in a distinguishability field.
Relational dynamics
Attachment, co-regulation, conflict, boundary dynamics — modelled as coupled fields with mutual density transfer and resistance profiles.
Σ
Social systems
Norms, power structures, institutional resistance, and collective behaviour as population-level density dynamics with shared distinguishability spaces.
P
Media and influence
Attention is conductance, not capture. The EF Attention Conductance Framework provides a structural model for communication strategy at scale.
O₁
Learning and development
Perceptual development, skill acquisition, and transformative learning as transitions from low-conductance high-density states to expanded field topology.
S
Organisational design
Why structures resist change. How to reduce systemic resistance S without collapsing the field. A formal diagnostic for institutional density traps.
Publications

Open research
on Zenodo.

All EF Theory documents are published under CC BY-NC-ND 4.0 and indexed with DOIs. The full corpus is available for scholarly review.

CORPUS v2 EF Theory Corpus — Core, Axioms, Math, Definitions, Practice, Social, Physical Bridge 10.5281/zenodo.19924326 ATT v1 EF Attention Conductance Framework 10.5281/zenodo.19984531 C1 v1 EF-Emotion Dynamics — Density-Based Account of Emotional States 10.5281/zenodo.20228119 C2 v1 EF-Informational Paralysis 10.5281/zenodo.20233108 C3 v1 EF-Relational Fields — Coupled Agents and Dyadic Field Dynamics 10.5281/zenodo.20234594 TOPO v1 EF-Topological Foundations 10.5281/zenodo.20117981 DYN v1 EF-Dynamical Systems — Attractors, Loops, Regime Transitions 10.5281/zenodo.20123801
Elena Pavlova · Independent Researcher · Tashkent, Uzbekistan ORCID 0009-0008-0372-166X ↗

Follow the
research.

New modules, applied tools, and educational materials are released through the Telegram channel. Research discussions, B2B collaborations, and institutional inquiries via LinkedIn.