Viability of a Recursive Computation Substrate Under Full Noise: Structural Constraints for Noise-Robust Computation

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1. Verfasser: Shipkowski, James
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Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author Shipkowski, James
author_facet Shipkowski, James
contents <p>This work presents a structural–empirical analysis of computation under sustained perturbation. Rather than treating computation as an operational or performance-defined process, the paper evaluates computation as a structural phenomenon grounded in identity preservation, admissible continuation, irreversibility, and constraint enforcement.</p> <p>The analysis is explicitly <strong>dependent</strong> on the foundational ontology developed in <em>Recursion, Constraint, and Persistence</em>, which derives recursion, admissibility, collapse, and irreversibility from the minimal requirement that identity must persist across transformation. No attempt is made here to justify that ontology independently; all conclusions in this work collapse if those foundations fail.</p> <p>Empiricism in this paper is defined <strong>structurally rather than physically</strong>. Claims are falsifiable with respect to inequalities, bounds, and necessity conditions over abstract state spaces, not through hardware benchmarks, physical noise models, or experimental measurement. The analysis is therefore implementation-invariant and avoids assumptions about speed, efficiency, optimization, intelligence, agency, or physical realization.</p> <p>We show that, under bounded adversarial noise, a recursively constrained substrate remains computationally viable if and only if five conditions hold:<br>(1) identity tolerance exceeds noise magnitude,<br>(2) admissible continuation exists,<br>(3) structural entropy is bounded,<br>(4) constraint violations induce structured collapse rather than undefined behavior, and<br>(5) collapse preserves irreversible history and permits post-collapse continuation.</p> <p>The paper introduces a formal <strong>physical realization bridge</strong>, specifying necessary constraints that any physical system claiming noise-robust computation must satisfy, without asserting that any such system exists or that the framework derives physical law. An appendix demonstrates structural correspondence — not reduction — with quantum error correction, thermodynamic irreversibility, and classical fault-tolerant computation.</p> <p>This work does not propose a new physical theory, computational architecture, or algorithm. Its contribution is to identify minimal, falsifiable structural conditions under which computation can persist under noise, independent of implementation.</p>
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spellingShingle Viability of a Recursive Computation Substrate Under Full Noise: Structural Constraints for Noise-Robust Computation
Shipkowski, James
recursive computation
noise-robust computation
structural empiricism
admissibility
identity preservation
entropy bounds
collapse and reintegration
fault tolerance
quantum error correction (structural)
irreversibility
computation theory
ontology of computation
non-teleological systems
implementation-invariant analysis
<p>This work presents a structural–empirical analysis of computation under sustained perturbation. Rather than treating computation as an operational or performance-defined process, the paper evaluates computation as a structural phenomenon grounded in identity preservation, admissible continuation, irreversibility, and constraint enforcement.</p> <p>The analysis is explicitly <strong>dependent</strong> on the foundational ontology developed in <em>Recursion, Constraint, and Persistence</em>, which derives recursion, admissibility, collapse, and irreversibility from the minimal requirement that identity must persist across transformation. No attempt is made here to justify that ontology independently; all conclusions in this work collapse if those foundations fail.</p> <p>Empiricism in this paper is defined <strong>structurally rather than physically</strong>. Claims are falsifiable with respect to inequalities, bounds, and necessity conditions over abstract state spaces, not through hardware benchmarks, physical noise models, or experimental measurement. The analysis is therefore implementation-invariant and avoids assumptions about speed, efficiency, optimization, intelligence, agency, or physical realization.</p> <p>We show that, under bounded adversarial noise, a recursively constrained substrate remains computationally viable if and only if five conditions hold:<br>(1) identity tolerance exceeds noise magnitude,<br>(2) admissible continuation exists,<br>(3) structural entropy is bounded,<br>(4) constraint violations induce structured collapse rather than undefined behavior, and<br>(5) collapse preserves irreversible history and permits post-collapse continuation.</p> <p>The paper introduces a formal <strong>physical realization bridge</strong>, specifying necessary constraints that any physical system claiming noise-robust computation must satisfy, without asserting that any such system exists or that the framework derives physical law. An appendix demonstrates structural correspondence — not reduction — with quantum error correction, thermodynamic irreversibility, and classical fault-tolerant computation.</p> <p>This work does not propose a new physical theory, computational architecture, or algorithm. Its contribution is to identify minimal, falsifiable structural conditions under which computation can persist under noise, independent of implementation.</p>
title Viability of a Recursive Computation Substrate Under Full Noise: Structural Constraints for Noise-Robust Computation
topic recursive computation
noise-robust computation
structural empiricism
admissibility
identity preservation
entropy bounds
collapse and reintegration
fault tolerance
quantum error correction (structural)
irreversibility
computation theory
ontology of computation
non-teleological systems
implementation-invariant analysis
url https://doi.org/10.5281/zenodo.18472036