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PreprintCC BY-NC-ND 4.0Zenodo

THE RECURSIVE FUNCTIONAL RECONSTITUTION PRINCIPLE (RFRP)

  1. 1Independent Researcher

Abstract

This paper develops the Recursive Functional Reconstitution Principle (RFRP) from the originating case designated the Functional Scope Paradox (FSP). The central proposal is that a system-level function need not be identified with one fixed implementation, locus, representation, pathway, or configuration. Under an admissible transformation of systemic relations, a function may be reconstituted in a different configuration. A second, recursively linked mechanism follows when the theory attempts to generalize this claim: the theory's own representation, naming operation, and classification boundary become objects to which the same functional analysis can be applied. The resulting architecture is therefore not a pair of parallel mechanisms but a causal chain: functional reconstitution, recursive self-application, and their integrated recursive formulation.

The paper distinguishes a descriptive originating case from the generalized principle, specifies criterion- and medium-independent notation, defines a state-transition model, proposes a formal reconstitution operator, and gives falsification-oriented computational procedures. The manuscript deliberately does not assume that RFRP is a universal law. Its initial epistemic status is a candidate generalized systemic principle; stronger classification requires successful counterexample resistance across independently specified systems, criteria, media, and dynamic regimes.

Thirty structured case slots are provided across three analytical layers, but no empirical observation is invented where a supplied dataset is absent. The formal model is consequently presented as an operational framework whose claims remain conditional on explicit assumptions and testable mappings. Mathematical notation is used to make claims operational rather than to confer empirical validity.

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BibTeX
@misc{shan2026recursive,
  title = {{THE RECURSIVE FUNCTIONAL RECONSTITUTION PRINCIPLE (RFRP)}},
  author = {Shamiul Hoque Shan},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23451869},
  url = {https://zenodo.org/records/23451869},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - THE RECURSIVE FUNCTIONAL RECONSTITUTION PRINCIPLE (RFRP)
AU  - Shamiul Hoque Shan
PY  - 2026
DA  - 2026/10/18
PB  - Zenodo
DO  - 10.5281/zenodo.23451869
UR  - https://zenodo.org/records/23451869
AB  - This paper develops the Recursive Functional Reconstitution Principle (RFRP) from the originating case designated the Functional Scope Paradox (FSP). The central proposal is that a system-level function need not be identified with one fixed implementation, locus, representation, pathway, or configuration. Under an admissible transformation of systemic relations, a function may be reconstituted in a different configuration. A second, recursively linked mechanism follows when the theory attempts to generalize this claim: the theory's own representation, naming operation, and classification boundary become objects to which the same functional analysis can be applied. The resulting architecture is therefore not a pair of parallel mechanisms but a causal chain: functional reconstitution, recursive self-application, and their integrated recursive formulation.  The paper distinguishes a descriptive originating case from the generalized principle, specifies criterion- and medium-independent notation, defines a state-transition model, proposes a formal reconstitution operator, and gives falsification-oriented computational procedures. The manuscript deliberately does not assume that RFRP is a universal law. Its initial epistemic status is a candidate generalized systemic principle; stronger classification requires successful counterexample resistance across independently specified systems, criteria, media, and dynamic regimes.  Thirty structured case slots are provided across three analytical layers, but no empirical observation is invented where a supplied dataset is absent. The formal model is consequently presented as an operational framework whose claims remain conditional on explicit assumptions and testable mappings. Mathematical notation is used to make claims operational rather than to confer empirical validity.
ER  -