Analysis of a Novel Time‐Continuous Dimer Growth Model Describing One Possible Cause of Alzheimer's Disease and a Time‐Discretization for Its Numerical Simulation

ABSTRACT Because oligomers of the amyloid‐ () protein can possibly be regarded as one main cause for progressive development of Alzheimer's disease, different mathematical models for its emergence have been proposed by different scientific groups. In this work, we suggest a combined dimer growth model of oligomers of the ‐protein based on two recent scientific articles. For that purpose, we combine one model using a constant monomer production rate while the other one assumes a logistic monomer production rate. In contrast to both articles which mainly discuss biological implications of their non‐linear systems of ordinary differential equations, we present, as one of our main contributions, thorough derivations of certain mathematical properties such as non‐negativity, boundedness, existence globally in time, uniqueness globally in time and discuss local asymptotic stability of the unique equilibrium state of monomer (), dimer (), oligomer () and fibril () amounts of substances. Additionally, we demonstrate that this unique equilibrium state can also be calculated by a classical Newton‐type approach and we develop a new non‐standard finite‐difference‐method, founded on non‐local approximations of the right‐hand‐side vectorial field, to preserve as many desirable properties of the time‐continuous case as possible. Finally, we support our theoretical findings with numerical simulations.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-05-08
DOI
https://doi.org/10.1002/mma.70783
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of a Novel Time‐Continuous Dimer Growth Model Describing One Possible Cause of Alzheimer's Disease and a Time‐Discretization for Its Numerical Simulation

Benjamin Wacker
Mathematical Methods in the Applied Sciences
Mathematical Biology Tumor Growth
article

Analysis of a Novel Time‐Continuous Dimer Growth Model Describing One Possible Cause of Alzheimer's Disease and a Time‐Discretization for Its Numerical Simulation

Benjamin Wacker
article en

Abstract

ABSTRACT Because oligomers of the amyloid‐ () protein can possibly be regarded as one main cause for progressive development of Alzheimer's disease, different mathematical models for its emergence have been proposed by different scientific groups. In this work, we suggest a combined dimer growth model of oligomers of the ‐protein based on two recent scientific articles. For that purpose, we combine one model using a constant monomer production rate while the other one assumes a logistic monomer production rate. In contrast to both articles which mainly discuss biological implications of their non‐linear systems of ordinary differential equations, we present, as one of our main contributions, thorough derivations of certain mathematical properties such as non‐negativity, boundedness, existence globally in time, uniqueness globally in time and discuss local asymptotic stability of the unique equilibrium state of monomer (), dimer (), oligomer () and fibril () amounts of substances. Additionally, we demonstrate that this unique equilibrium state can also be calculated by a classical Newton‐type approach and we develop a new non‐standard finite‐difference‐method, founded on non‐local approximations of the right‐hand‐side vectorial field, to preserve as many desirable properties of the time‐continuous case as possible. Finally, we support our theoretical findings with numerical simulations.

Mathematical Methods in the Applied Sciences
Merseburg University of Applied Sciences (DE)
Openalex Percentile: Top 6%
Mathematical Biology Tumor Growth
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.