Proof Mining and the Logical Strength of a Class of Implicit Fractional Boundary Value Problems

ABSTRACT The classical approach to establishing the existence of solutions for implicit fractional differential equations (FDEs) relies on non‐constructive fixed‐point theorems, notably Banach's contraction principle. This paper provides a foundational analysis of such an existence theorem from the perspectives of proof theory and reverse mathematics. We focus on a model problem involving an implicit FDE of order with ‐Caputo derivative and anti‐periodic boundary conditions. First, by applying methods of proof mining to the standard contraction mapping argument, we extract an explicit, computable rate of convergence for the associated Picard iteration. This yields a quantitative refinement of the classical existence proof and provides an a priori error estimate for numerical approximations. Second, we analyze the set‐existence axioms required for the proof within the framework of subsystems of second‐order arithmetic. We show that the existence theorem is provable in the system (Arithmetical Comprehension Axiom), establishing an upper bound on its logical strength. Furthermore, we provide a detailed analysis indicating that the theorem has logical strength at least that of , placing it within the level of the reverse mathematics hierarchy. Our work bridges fractional calculus and mathematical logic, providing both constructive insights for numerical analysis and a clear logical classification of a central result in the theory of FDEs.

Authors

Institutions

Publication Details

Journal
Mathematical logic quarterly
Published
2026-05-01
DOI
https://doi.org/10.1002/malq.70023
Primary Topic
Fixed Point Theorems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proof Mining and the Logical Strength of a Class of Implicit Fractional Boundary Value Problems

Salma Trabelsi, M. Manigandan, Sameer Bawaneh, Muath Awadalla
Mathematical logic quarterly
Fixed Point Theorems Analysis
article

Proof Mining and the Logical Strength of a Class of Implicit Fractional Boundary Value Problems

Salma Trabelsi, M. Manigandan, Sameer Bawaneh, Muath Awadalla
article en

Abstract

ABSTRACT The classical approach to establishing the existence of solutions for implicit fractional differential equations (FDEs) relies on non‐constructive fixed‐point theorems, notably Banach's contraction principle. This paper provides a foundational analysis of such an existence theorem from the perspectives of proof theory and reverse mathematics. We focus on a model problem involving an implicit FDE of order with ‐Caputo derivative and anti‐periodic boundary conditions. First, by applying methods of proof mining to the standard contraction mapping argument, we extract an explicit, computable rate of convergence for the associated Picard iteration. This yields a quantitative refinement of the classical existence proof and provides an a priori error estimate for numerical approximations. Second, we analyze the set‐existence axioms required for the proof within the framework of subsystems of second‐order arithmetic. We show that the existence theorem is provable in the system (Arithmetical Comprehension Axiom), establishing an upper bound on its logical strength. Furthermore, we provide a detailed analysis indicating that the theorem has logical strength at least that of , placing it within the level of the reverse mathematics hierarchy. Our work bridges fractional calculus and mathematical logic, providing both constructive insights for numerical analysis and a clear logical classification of a central result in the theory of FDEs.

Mathematical logic quarterlyVol. 72(2)
National Institute of Technology Tiruchirappalli (IN), Jadara University (JO), Indian Institute of Management Tiruchirappalli (IN), International Centers for Excellence in Research (IN), King Faisal University (SA)
Openalex Percentile: Top 4%
Fixed Point Theorems 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.