V94: Co-Moving Confinement Theory — When Boundaries Dance, Rent Vanishes

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Authors: Satoshi Yoshida, A. ChatGPT, Gさんからの提案 Gemini, C Claude
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Abstract

We propose Co-Moving Confinement Theory, a general principle stating that confinement cost ("rent") arises from relative flux between a system and its boundary, and can be driven toward zero when the boundary co-moves coherently with the system. Extending the rent-minimization framework established in V93, we introduce a co-moving degree parameter c∈[0,1] and demonstrate numerically that rent decreases monotonically with increasing co-movement under coherent tracking, achieving 98% reduction as c→1. In contrast, random or incoherent boundary modulation fails to reduce rent and can even exacerbate it (increasing rent by up to 98%). Key findings:- Rent decreases monotonically with co-moving degree: R(c=1)/R(0) = 0.019 (98% reduction)- Random breathing does not reduce rent; coherence is the essential resource- Finite response delay imposes practical limits: τ > 0.5s degrades effectiveness significantly- A system cannot detect a boundary that moves with it (analogous to the equivalence principle) The theory originated from taking the metaphor "dancing with the plasma" literally—exemplifying the YAGC methodology of translating intuitive expressions into physical principles. These findings redefine confinement as a problem of synchronization rather than suppression, with implications extending beyond plasma systems to biological regulation, social systems, and information-processing architectures. This work is part of the YAGC (Yoshida-AI-Generated Cosmology) Project, developed through collaborative dialogue between human researchers and AI systems (ChatGPT, Claude, Gemini).

Fields of Study & Subjects

Fusion and Plasma Physics Studies Complex Systems and Dynamics Magnetic confinement fusion research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026