The Recursive Relational State-Transformation Principle (RRSTP)
Year: 2026
Type: preprint
Abstract: This paper presents the revised conceptual and mathematical blueprint of the Recursive Relational State-Transformation Principle (RRSTP). The framework originates from the Echo-Absence Paradox Case (EAPC), expressed by the question: if something is empty and produces no sound, how can an echo of it occur? The initial paradox is retained as a conceptual starting point, but neither sound nor absence is imposed as a universal criterion for the generalized theory. The paper distinguishes three structural components: the primary case, the generalized principle, and the default mechanism. The primary case raises the motivating problem; RRSTP proposes a domain-general structural principle; and the Relationally Mediated Recursive Re-entry Mechanism (RMRM) specifies a candidate process through which contextual relations, internal representations, re-entry, and state transitions may be connected.A twelve-layer architecture, ten research domains, an eight-stage mechanism, a formal state-space representation, and a specialized mathematical model of EAPC are specified. The mathematical analysis distinguishes physical input absence from internal state, defines the role of prior conditions, examines recursion and control, and demonstrates parameter-dependent decay, persistence, and amplification. Nine hypotheses and a research protocol are included to distinguish logical consequences, model-dependent predictions, and empirical claims.RRSTP is presented as a proposed theoretical framework rather than an established universal law. The numerical examples are analytical or illustrative model calculations, not empirical findings. The paper therefore separates conceptual coherence, mathematical consistency, empirical adequacy, transferability, and universality. Its principal objective is to provide a transparent and falsifiable architecture for determining whether a common relational and recursive structure can explain multiple classes of state transformation without reducing the generalized principle to any single domain, medium, or output.
Author: Shan, Shamiul Hoque
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225080140