A new approach for the analysis of evolution partial differential equations on a finite interval

TL;DR

This paper introduces a novel method to analyze evolution PDEs on finite intervals by reconstructing solutions from associated half-line problems using the Fokas method, with applications to heat and KdV equations.

Contribution

The authors develop a new approach employing the Fokas method and fixed point techniques to analyze evolution PDEs on finite intervals, extending to equations with time-dependent coefficients.

Findings

Solution on finite interval reconstructed from half-line solutions.

Method applied successfully to heat and KdV equations.

Numerical simulations demonstrate effectiveness for heat equation.

Abstract

We show that, for certain evolution partial differential equations, the solution on a finite interval $(0,\ell)$ can be reconstructed as a superposition of restrictions to $(0,\ell)$ of solutions to two associated partial differential equations posed on the half-lines $(0,\infty)$ and $(-\infty,\ell)$. Determining the appropriate data for these half-line problems amounts to solving an inverse problem, which we formulate via the unified transform of Fokas (also known as the Fokas method) and address via a fixed point argument in $L^2$-based Sobolev spaces, including fractional ones through interpolation techniques. We illustrate our approach through two canonical examples, the heat equation and the Korteweg-de Vries (KdV) equation, and provide numerical simulations for the former example. We further demonstrate that the new approach extends to more general evolution partial differential equations, including those with time-dependent coefficients. A key outcome of this work is that spatial and temporal regularity estimates for problems on a finite interval can be directly derived from the corresponding estimates on the half-line. These results can, in turn, be used to establish local well-posedness for related nonlinear problems, as the essential ingredients are the linear estimates within nonlinear frameworks.