Existence, stability, and numerical simulation of a nonlinear brain tumor model

Abstract This research introduces a novel mathematical model for brain tumor growth incorporating a fractal fractional derivative. We investigate the existence and uniqueness of solutions for this model, as well as its stability properties, using a novel contraction known as the generalized α − ψ $\...

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Main Authors: Hojjat Afshari, Sabileh Kalantari, Mehrdad Anvari, H. R. Marasi
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:https://doi.org/10.1186/s13660-025-03276-9
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author Hojjat Afshari
Sabileh Kalantari
Mehrdad Anvari
H. R. Marasi
author_facet Hojjat Afshari
Sabileh Kalantari
Mehrdad Anvari
H. R. Marasi
author_sort Hojjat Afshari
collection DOAJ
description Abstract This research introduces a novel mathematical model for brain tumor growth incorporating a fractal fractional derivative. We investigate the existence and uniqueness of solutions for this model, as well as its stability properties, using a novel contraction known as the generalized α − ψ $\alpha -\psi $ -Geraghty-type contraction. Our stability analysis is based on the Ulam–Hyers framework. The findings presented in this study constitute a significant contribution to the field.
format Article
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institution Kabale University
issn 1029-242X
language English
publishDate 2025-04-01
publisher SpringerOpen
record_format Article
series Journal of Inequalities and Applications
spelling doaj-art-9012c4eb128e4f10a89f6dd0463c58682025-08-20T03:53:32ZengSpringerOpenJournal of Inequalities and Applications1029-242X2025-04-012025112210.1186/s13660-025-03276-9Existence, stability, and numerical simulation of a nonlinear brain tumor modelHojjat Afshari0Sabileh Kalantari1Mehrdad Anvari2H. R. Marasi3Department of Mathematics, Faculty of Science, University of BonabDepartment of Mathematics, Faculty of Science, University of BonabDepartment of Applied Mathematics, Faculty of Mathematics, Statistics and Computer Science, University of TabrizDepartment of Applied Mathematics, Faculty of Mathematics, Statistics and Computer Science, University of TabrizAbstract This research introduces a novel mathematical model for brain tumor growth incorporating a fractal fractional derivative. We investigate the existence and uniqueness of solutions for this model, as well as its stability properties, using a novel contraction known as the generalized α − ψ $\alpha -\psi $ -Geraghty-type contraction. Our stability analysis is based on the Ulam–Hyers framework. The findings presented in this study constitute a significant contribution to the field.https://doi.org/10.1186/s13660-025-03276-9Fractal-fractional derivativeMathematical modelingFixed point theoryStabilityExistence and uniquenessBrain tumor
spellingShingle Hojjat Afshari
Sabileh Kalantari
Mehrdad Anvari
H. R. Marasi
Existence, stability, and numerical simulation of a nonlinear brain tumor model
Journal of Inequalities and Applications
Fractal-fractional derivative
Mathematical modeling
Fixed point theory
Stability
Existence and uniqueness
Brain tumor
title Existence, stability, and numerical simulation of a nonlinear brain tumor model
title_full Existence, stability, and numerical simulation of a nonlinear brain tumor model
title_fullStr Existence, stability, and numerical simulation of a nonlinear brain tumor model
title_full_unstemmed Existence, stability, and numerical simulation of a nonlinear brain tumor model
title_short Existence, stability, and numerical simulation of a nonlinear brain tumor model
title_sort existence stability and numerical simulation of a nonlinear brain tumor model
topic Fractal-fractional derivative
Mathematical modeling
Fixed point theory
Stability
Existence and uniqueness
Brain tumor
url https://doi.org/10.1186/s13660-025-03276-9
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AT sabilehkalantari existencestabilityandnumericalsimulationofanonlinearbraintumormodel
AT mehrdadanvari existencestabilityandnumericalsimulationofanonlinearbraintumormodel
AT hrmarasi existencestabilityandnumericalsimulationofanonlinearbraintumormodel