The Constraint Surface: Informational Topology, Phase Transitions, and the Relaxation Principle

Classical thermodynamics successfully describes phase transitions and entropy as macroscopic functions of kinetic energy and temperature. However, it treats these physical states as fundamental, leaving the underlying ontological mechanism of matter and dimensional interaction unaddressed. This paper introduces the Informational Constraint Framework (ICF), positing that classical spacetime and physical matter are not fundamental objects, but rather lower-dimensional projections emergent from a deeper informational substrate. We redefine physical phase transitions—such as the thermodynamic "locking" of freezing or the "release" of melting—as purely geometric phenomena occurring on a multidimensional constraint surface. By mapping available degrees of freedom (N-values) against the steepness of local informational cost gradients (Z-values), we demonstrate that physical states are the geometric restriction or expansion of an informational pattern. Bridging classical thermodynamics with Shannon entropy and Landauer’s Principle, we propose the Relaxation Principle: the axiom that all physical matter, gravity, and observable interactions are simply the substrate resting at the lowest informational cost permitted by local spacetime constraints. This ontological framework provides a unified, geometric basis for understanding the architecture and direction of physical reality.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20329481
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

The Constraint Surface: Informational Topology, Phase Transitions, and the Relaxation Principle

Mark A. Edwards
Zenodo (CERN European Organization for Nuclear Research)
Advanced Thermodynamics and Statistical Mechanics
preprint

The Constraint Surface: Informational Topology, Phase Transitions, and the Relaxation Principle

Mark A. Edwards
preprint en

Abstract

Classical thermodynamics successfully describes phase transitions and entropy as macroscopic functions of kinetic energy and temperature. However, it treats these physical states as fundamental, leaving the underlying ontological mechanism of matter and dimensional interaction unaddressed. This paper introduces the Informational Constraint Framework (ICF), positing that classical spacetime and physical matter are not fundamental objects, but rather lower-dimensional projections emergent from a deeper informational substrate. We redefine physical phase transitions—such as the thermodynamic "locking" of freezing or the "release" of melting—as purely geometric phenomena occurring on a multidimensional constraint surface. By mapping available degrees of freedom (N-values) against the steepness of local informational cost gradients (Z-values), we demonstrate that physical states are the geometric restriction or expansion of an informational pattern. Bridging classical thermodynamics with Shannon entropy and Landauer’s Principle, we propose the Relaxation Principle: the axiom that all physical matter, gravity, and observable interactions are simply the substrate resting at the lowest informational cost permitted by local spacetime constraints. This ontological framework provides a unified, geometric basis for understanding the architecture and direction of physical reality.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Advanced Thermodynamics and Statistical Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Constraint Surface: Informational Topology, Phase Transitions, and the Relaxation Principle — Mark A. Edwards · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS