Dynamical Informational Field Theory (DIFT): A Geometric Sigma–Model with Dynamostasis

Description This record presents the first complete formulation of Dynamical Informational Field Theory (DIFT). In DIFT, the fundamental field is a map from spacetime into an informational manifold equipped with a Fisher or quantum-Fisher type metric. The spacetime metric is fully dynamical (Einstein-Hilbert term), while the map field evolves as a curved-target sigma-model. A key feature of the theory is “dynamostasis”: a scalar constructed from the pullback of the informational metric is constrained to remain on a prescribed plateau. This produces a coupled Einstein–sigma-model system with a non-trivial constraint force. The manuscript derives the full field equations, the corresponding stress-energy tensor, and the resulting Einstein equations. As a concrete example, the paper develops a 4-dimensional informational manifold based on the quantum-Fisher geometry of pure two-mode Gaussian states (two-mode squeezed light). The coordinates are the local squeezing parameters and a relative phase, and the metric is given explicitly. This provides a practical and computable target space for DIFT, enabling the modelling of spacetime-dependent informational profiles inspired by continuous-variable entanglement, while keeping the entire framework strictly classical and geometric.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-07
DOI
https://doi.org/10.5281/zenodo.17846212
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamical Informational Field Theory (DIFT): A Geometric Sigma–Model with Dynamostasis

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

Dynamical Informational Field Theory (DIFT): A Geometric Sigma–Model with Dynamostasis

article en

Abstract

Description This record presents the first complete formulation of Dynamical Informational Field Theory (DIFT). In DIFT, the fundamental field is a map from spacetime into an informational manifold equipped with a Fisher or quantum-Fisher type metric. The spacetime metric is fully dynamical (Einstein-Hilbert term), while the map field evolves as a curved-target sigma-model. A key feature of the theory is “dynamostasis”: a scalar constructed from the pullback of the informational metric is constrained to remain on a prescribed plateau. This produces a coupled Einstein–sigma-model system with a non-trivial constraint force. The manuscript derives the full field equations, the corresponding stress-energy tensor, and the resulting Einstein equations. As a concrete example, the paper develops a 4-dimensional informational manifold based on the quantum-Fisher geometry of pure two-mode Gaussian states (two-mode squeezed light). The coordinates are the local squeezing parameters and a relative phase, and the metric is given explicitly. This provides a practical and computable target space for DIFT, enabling the modelling of spacetime-dependent informational profiles inspired by continuous-variable entanglement, while keeping the entire framework strictly classical and geometric.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 37%
Statistical Mechanics and Entropy
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