Phase Mechanics: A Formal Language for Resolution Dynamics

Phase mechanics provides operational definitions for systems governed by resolution cycles, boundary evaluation, and geometric memory accumulation. Building on Field-Logic foundations, this document establishes three primitives (phase state, phase gate, phase memory), six descriptors, and eight operators sufficient to describe dynamics across atomic, macro, and black hole regimes without recourse to force language. Constraint relationships, measurement boundary conditions, and explicit falsification criteria are provided. This framework formalizes the operator layer implied by Field-Logic dynamics and integrates aliasing and measurement-extreme constraints from prior published work.

Authors

Publication Details

Journal
Open MIND
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.18719723
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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preprint

Phase Mechanics: A Formal Language for Resolution Dynamics

Jamie L. Thomas
Open MIND
Neural Networks and Reservoir Computing
preprint

Phase Mechanics: A Formal Language for Resolution Dynamics

Jamie L. Thomas
preprint en

Abstract

Phase mechanics provides operational definitions for systems governed by resolution cycles, boundary evaluation, and geometric memory accumulation. Building on Field-Logic foundations, this document establishes three primitives (phase state, phase gate, phase memory), six descriptors, and eight operators sufficient to describe dynamics across atomic, macro, and black hole regimes without recourse to force language. Constraint relationships, measurement boundary conditions, and explicit falsification criteria are provided. This framework formalizes the operator layer implied by Field-Logic dynamics and integrates aliasing and measurement-extreme constraints from prior published work.

Open MIND
Peace, Justice and strong institutions
Neural Networks and Reservoir Computing
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Phase Mechanics: A Formal Language for Resolution Dynamics — Jamie L. Thomas · Open MIND (2026) | TGRS Research Map | TGRS