Validated forward integration scheme for parabolic PDEs via Chebyshev series

TL;DR

This paper presents a rigorous, Chebyshev-based numerical method for solving semi-linear parabolic PDEs, providing explicit bounds and a fixed point approach to ensure solution accuracy and stability.

Contribution

Introduces a Chebyshev series-based forward integration scheme with rigorous bounds for solving semi-linear parabolic PDEs, verified via a Newton-Kantorovich argument.

Findings

Applicable to Fisher's and Swift-Hohenberg equations

Provides explicit bounds for operator invertibility

Ensures convergence via contraction mapping

Abstract

In this paper we introduce a new approach to compute rigorously solutions of Cauchy problems for a class of semi-linear parabolic partial differential equations. Expanding solutions with Chebyshev series in time and Fourier series in space, we introduce a zero finding problem $F(a)=0$ on a Banach algebra $X$ of Fourier-Chebyshev sequences, whose solution solves the Cauchy problem. The challenge lies in the fact that the linear part $\mathcal{L} = DF(0)$ has an infinite block diagonal structure with blocks becoming less and less diagonal dominant at infinity. We introduce analytic estimates to show that $\mathcal{L}$ is an invertible linear operator on $X$, and we obtain explicit, rigorous and computable bounds for the operator norm $\| \mathcal{L}^{-1}\|_{B(X)}$. These bounds are then used to verify the hypotheses of a Newton-Kantorovich type argument which shows that the (Newton-like) operator $\mathcal{T}(a)=a - \mathcal{L}^{-1} F(a)$ is a contraction on a small ball centered at a numerical approximation of the Cauchy problem. The contraction mapping theorem yields a fixed point which corresponds to a classical (strong) solution of the Cauchy problem. The approach is simple to implement, numerically stable and is applicable to a class of PDE models, which include for instance Fisher's equation and the Swift-Hohenberg equation. We apply our approach to each of these models.