The Regulatory-Channel Equivalence A Formal Mapping Between GTRS Regulatory Capacity and BCST Channel Capacity

AbstractThis paper investigates the formal mathematical relationship between the regulatory capacityparameter rho(x) of the General Theory of Regulated Stability (GTRS) and the aggregatecross-scale channel capacity Cagg of Bounded Communication Systems Theory (BCST).Three questions are addressed: (Q1) whether a well-defined transformation T exists such thatrho can be expressed as a function of channel capacity variables; (Q2) whether the GTRSstability threshold rho = 1 corresponds to the BCST coherence threshold Cagg = Cmin; and(Q3) whether the four GTRS failure modes are preserved under the mapping. Under statedassumptions, we construct a logarithmic coordinate transformation relating rho to Cagg. Thetransformation is formally a rescaling of the GTRS regulatory ratio in information-theoreticterms; its value lies in revealing structural features — compressive saturation, bottleneckidentification, and failure mode signatures — that are obscured in the linear ratiorepresentation. Threshold correspondence holds under specified conditions. Three of fourfailure modes map with distinct signatures; the fourth (structural bifurcation) defines themapping’s boundary. Connections to Geometric Bifurcation Theory (Fisher information atcritical points) are noted as consistency checks, not independent confirmations. An analogical(not formal) link to Pesin’s theorem is discussed with explicit acknowledgment thatbiological systems violate the theorem’s conditions. The precise boundaries of thecorrespondence are identified, including timescale constraints arising frommemory-dependence in the regulatory capacity variable.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-26
DOI
https://doi.org/10.5281/zenodo.19229195
Citations
2
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
42.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Regulatory-Channel Equivalence A Formal Mapping Between GTRS Regulatory Capacity and BCST Channel Capacity

SHAI / HATI, John Richard Smith
2 citations
Zenodo (CERN European Organization for Nuclear Research)
Molecular Communication and Nanonetworks
42.56
article

The Regulatory-Channel Equivalence A Formal Mapping Between GTRS Regulatory Capacity and BCST Channel Capacity

SHAI / HATI, John Richard Smith
article en
2 citations

Abstract

AbstractThis paper investigates the formal mathematical relationship between the regulatory capacityparameter rho(x) of the General Theory of Regulated Stability (GTRS) and the aggregatecross-scale channel capacity Cagg of Bounded Communication Systems Theory (BCST).Three questions are addressed: (Q1) whether a well-defined transformation T exists such thatrho can be expressed as a function of channel capacity variables; (Q2) whether the GTRSstability threshold rho = 1 corresponds to the BCST coherence threshold Cagg = Cmin; and(Q3) whether the four GTRS failure modes are preserved under the mapping. Under statedassumptions, we construct a logarithmic coordinate transformation relating rho to Cagg. Thetransformation is formally a rescaling of the GTRS regulatory ratio in information-theoreticterms; its value lies in revealing structural features — compressive saturation, bottleneckidentification, and failure mode signatures — that are obscured in the linear ratiorepresentation. Threshold correspondence holds under specified conditions. Three of fourfailure modes map with distinct signatures; the fourth (structural bifurcation) defines themapping’s boundary. Connections to Geometric Bifurcation Theory (Fisher information atcritical points) are noted as consistency checks, not independent confirmations. An analogical(not formal) link to Pesin’s theorem is discussed with explicit acknowledgment thatbiological systems violate the theorem’s conditions. The precise boundaries of thecorrespondence are identified, including timescale constraints arising frommemory-dependence in the regulatory capacity variable.

Zenodo (CERN European Organization for Nuclear Research)
Symbiom (Czechia) (CZ)
Openalex Percentile: Top 0%
Molecular Communication and Nanonetworks
42.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.