V82: Accelerated Expansion and Black Holes as Information-Processing Necessities — A Closed-System Principle with Structural Isomorphism to Biological Metabolism

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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 present a unified framework in which cosmic accelerated expansion and black hole formation emerge as complementary responses of a dynamic, closed universe that must preserve ever-growing records without an external disposal channel. Living systems maintain internal order by exporting high-entropy waste to an external environment; the universe, by definition, has no "outside" into which accumulated records can be discarded. Consequently, record preservation in a closed system forces two internal processing strategies: Capacity expansion (Distribution): Diluting record density via accelerated expansion of the background, manifesting phenomenologically as dark energy. Node compression (Accumulation): Isolating irreducible records behind causal/operational boundaries, manifesting as black holes. This correspondence is not metaphorical but structural, arising from identical thermodynamic and informational constraints. We do not introduce information as an extra ontological entity; rather, we use the standard thermodynamic meaning of information implied by entropy and state-counting (S = k_B ln Ω), applying it to a closed, dynamically updating universe. The aim is to reduce assumptions by treating DE and BH as constraint-driven processing responses rather than independent substances. We outline observational contact points—including the ubiquity of central black holes, the M–σ relation, and the existence of early supermassive black holes—as natural outcomes of local processing saturation. One-sentence thesis: The difference between the universe and living systems is not structure, but the presence of a disposal channel.

Fields of Study & Subjects

Earth Systems and Cosmic Evolution Space Science and Extraterrestrial Life Origins and Evolution of Life

Publication details

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