Information-Structure Dynamics within an Effective-Field Framework

Abstract This paper supplements existing descriptions of quantum physics at the phenomenological level by proposing a continuous dynamical model based on Information-Structured Effective Fields (ISEF). The core of this work is to establish the Fisher information density functional as the fundamental driving source for the evolution of the system state. By applying a variational treatment to this information functional, the framework shows, without introducing additional microscopic ontological assumptions, how the inhomogeneity of the probability density (ρ) manifests as an intrinsic structural tension, from which the trend potential (Φ_trend) governing the dynamics can be derived. Starting from this Fisher-information-driven chain, the paper derives a rigorous coupling map between the density distribution ρ and the evolving phase parameter ω. This mechanism is expected to provide a logically self-consistent and unified continuous phenomenological explanation for double-slit interference, the coherence decay caused by path-information acquisition, and the statistical decoherence of massive complex systems such as C₆₀ molecules. This work demonstrates the fundamental role of the Fisher information functional in constraining and driving the evolution of physical systems, and it also provides theoretical expectations for the macroscopic decoherence boundary of matter-wave interference that can be tested in future experiments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23785693
Primary Topic
Quantum Mechanics and Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Information-Structure Dynamics within an Effective-Field Framework

Xu Haigang
1 links
Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
preprint

Information-Structure Dynamics within an Effective-Field Framework

Xu Haigang
preprint en

Abstract

Abstract This paper supplements existing descriptions of quantum physics at the phenomenological level by proposing a continuous dynamical model based on Information-Structured Effective Fields (ISEF). The core of this work is to establish the Fisher information density functional as the fundamental driving source for the evolution of the system state. By applying a variational treatment to this information functional, the framework shows, without introducing additional microscopic ontological assumptions, how the inhomogeneity of the probability density (ρ) manifests as an intrinsic structural tension, from which the trend potential (Φ_trend) governing the dynamics can be derived. Starting from this Fisher-information-driven chain, the paper derives a rigorous coupling map between the density distribution ρ and the evolving phase parameter ω. This mechanism is expected to provide a logically self-consistent and unified continuous phenomenological explanation for double-slit interference, the coherence decay caused by path-information acquisition, and the statistical decoherence of massive complex systems such as C₆₀ molecules. This work demonstrates the fundamental role of the Fisher information functional in constraining and driving the evolution of physical systems, and it also provides theoretical expectations for the macroscopic decoherence boundary of matter-wave interference that can be tested in future experiments.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
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.

Laika access coming soon