TheShadow Theorem: An Observational Boundfor the Effective Field Theory of Information Reconstruction (EFIR)

This paper presents a revised and self-contained formulation of the observationalboundarising from the Effective Field Theory of Information Reconstruction(EFIR). It does not presuppose familiarity with earlier drafts. The argumentis built from first principles, and every claim is stated with explicit hypotheses.The paper grew out of a specific intellectual difficulty. The EFIR frameworkcouples three independently motivated mathematical structures: a variationalfield theory, an information-geometric flow, and a Lindblad open-system dynamics. Each structure is well-established in its own domain. The challenge wasto identify a single quantity that unifies all three without artificially combiningtheir equations, and to state a result about that quantity that is both true andnon-trivial.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-22
DOI
https://doi.org/10.5281/zenodo.19159905
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
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article

TheShadow Theorem: An Observational Boundfor the Effective Field Theory of Information Reconstruction (EFIR)

Marco Galli
Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
article

TheShadow Theorem: An Observational Boundfor the Effective Field Theory of Information Reconstruction (EFIR)

Marco Galli
article en

Abstract

This paper presents a revised and self-contained formulation of the observationalboundarising from the Effective Field Theory of Information Reconstruction(EFIR). It does not presuppose familiarity with earlier drafts. The argumentis built from first principles, and every claim is stated with explicit hypotheses.The paper grew out of a specific intellectual difficulty. The EFIR frameworkcouples three independently motivated mathematical structures: a variationalfield theory, an information-geometric flow, and a Lindblad open-system dynamics. Each structure is well-established in its own domain. The challenge wasto identify a single quantity that unifies all three without artificially combiningtheir equations, and to state a result about that quantity that is both true andnon-trivial.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Statistical Mechanics and Entropy
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