PDE approximation of large systems of differential equations
Andr\'as B\'atkai, \'Agnes Havasi, R\'obert Horv\'ath, D\'avid, Kunszenti-Kov\'acs, P\'eter L. Simon

TL;DR
This paper develops PDE-based approximations for large systems of ODEs, providing estimates on their accuracy and demonstrating advantages in a voter model example.
Contribution
It introduces PDE approximations with boundary conditions for large ODE systems and offers theoretical estimates on their accuracy.
Findings
PDE approximations closely match large ODE systems
Fourier method enhances analysis of voter model
Theoretical bounds on approximation errors
Abstract
A large system of ordinary differential equations is approximated by a parabolic partial differential equation with dynamic boundary condition and a different one with Robin boundary condition. Using the theory of differential operators with Wentzell boundary conditions and similar theories, we give estimates on the order of approximation. The theory is demonstrated on a voter model where the Fourier method applied to the PDE is of great advantage.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · advanced mathematical theories · Advanced Mathematical Modeling in Engineering
