PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 5, 20260 citationsOpen Access

A Thermodynamic–Informational Framework for Self-Organizing Dissipative Systems: Pentacyclic Closure of Energy, Information, and Structure

View Full Paper
HTHao-Dong Tang

Key Points

  • The framework aims to describe the dynamics of energy and information in low-entropy dissipative systems under non-equilibrium conditions.
  • Developed a closed-form theoretical framework including ten foundational equations and inequalities.
  • Derive a first-principles expression for the information density rate of change.
  • Stress the system's adherence to the Local Equilibrium Hypothesis and effective entropy export.
  • Identified conditions for sustained net information growth in localized systems.
  • Demonstrated a cyclic organization of energy, information, and structure facilitating homeostasis.
  • Clarified implications for the physical underpinnings of life and intelligence.

Abstract

We present a closed-form theoretical framework describing the coupled dynamics of energy density, energy flux, entropy production, negentropic information, and exergy in low-entropy non-equilibrium dissipative systems. The framework consists of five primitive definition equations, five forward equalities (transformative relations introducing system-specific coupling coefficients), and five constraining inequalities (physical bounds derived from the first and second laws of thermodynamics, Carnot's theorem, Landauer's principle, and effective medium theory). All ten relations are dimensionally self-consistent. A central result is a first-principles expression for the rate of change of information density, from which we derive the necessary and sufficient condition for sustained net information growth (ṁ>0) in a local volume element. We further show that the system's five variables are organized into a closed, mutually regulating cycle in which every forward transformation is balanced by a corresponding physical constraint, producing an intrinsic homeostatic architecture. We discuss implications for understanding the physical basis of life, intelligence, and the energetic limits of information processing. All assumptions are explicitly bounded: the framework applies exclusively to systems satisfying the Local Equilibrium Hypothesis (Kn 1), possessing exergy storage capacity, and operating far from thermodynamic equilibrium with effective entropy export.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hao-Dong Tang (2026) studied this question.

synapsesocial.com/papers/6a226851763171746d546db0https://doi.org/10.5281/zenodo.20533605
Ask AI
Helpful
Bookmark
Share
View Full Paper