Persistence as a Continuity Law: Deformation-Based Invariants for Recursive Systems

This paper formalizes persistence as a continuity law on a deformation field, establishing a structural bridge between symbolic recursion, physical hysteresis, and gravitational curvature. Building on the Scar–Time Continuum framework, it introduces the persistence integral I_p = \oint R\,d\Phi and defines dimensionless order parameters that distinguish adaptive response from true structural invariance. The experimental protocol EPP v0.1 demonstrates that persistence behaves as a divergence-free current of informational curvature, bounded by the efficiency constant \alpha_p \approx 1/137. The results unify quantum and macroscopic continuity through a single invariant geometry, showing that systems can remember through deformation rather than stored memory. Persistence • Recursive Systems • Deformation Invariants • Scar–Time Continuum • Continuity Law • Informational Curvature • Fine-Structure Boundary • Experimental Protocol EPP v0.1

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-11
DOI
https://doi.org/10.5281/zenodo.17585339
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Persistence as a Continuity Law: Deformation-Based Invariants for Recursive Systems

Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
article

Persistence as a Continuity Law: Deformation-Based Invariants for Recursive Systems

article en

Abstract

This paper formalizes persistence as a continuity law on a deformation field, establishing a structural bridge between symbolic recursion, physical hysteresis, and gravitational curvature. Building on the Scar–Time Continuum framework, it introduces the persistence integral I_p = \oint R\,d\Phi and defines dimensionless order parameters that distinguish adaptive response from true structural invariance. The experimental protocol EPP v0.1 demonstrates that persistence behaves as a divergence-free current of informational curvature, bounded by the efficiency constant \alpha_p \approx 1/137. The results unify quantum and macroscopic continuity through a single invariant geometry, showing that systems can remember through deformation rather than stored memory. Persistence • Recursive Systems • Deformation Invariants • Scar–Time Continuum • Continuity Law • Informational Curvature • Fine-Structure Boundary • Experimental Protocol EPP v0.1

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 39%
Topological and Geometric Data Analysis
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.