Computing semigroups with error control

10/12/2021
by   Matthew J. Colbrook, et al.
0

We develop an algorithm that computes strongly continuous semigroups on infinite-dimensional Hilbert spaces with explicit error control. Given a generator A, a time t>0, an arbitrary initial vector u_0 and an error tolerance ϵ>0, the algorithm computes exp(tA)u_0 with error bounded by ϵ. The algorithm is based on a combination of a regularized functional calculus, suitable contour quadrature rules, and the adaptive computation of resolvents in infinite dimensions. As a particular case, we show that it is possible, even when only allowing pointwise evaluation of coefficients, to compute, with error control, semigroups on the unbounded domain L^2(ℝ^d) that are generated by partial differential operators with polynomially bounded coefficients of locally bounded total variation. For analytic semigroups (and more general Laplace transform inversion), we provide a quadrature rule whose error decreases like exp(-cN/log(N)) for N quadrature points, that remains stable as N→∞, and which is also suitable for infinite-dimensional operators. Numerical examples are given, including: Schrödinger and wave equations on the aperiodic Ammann–Beenker tiling, complex perturbed fractional diffusion equations on L^2(ℝ), and damped Euler–Bernoulli beam equations.

READ FULL TEXT
research
11/25/2021

A contour method for time-fractional PDEs and an application to fractional viscoelastic beam equations

We develop a rapid and accurate contour method for the solution of time-...
research
02/01/2022

Efficient computation of the Wright function and its applications to fractional diffusion-wave equations

In this article, we deal with the efficient computation of the Wright fu...
research
08/19/2019

Computing Spectral Measures and Spectral Types: New Algorithms and Classifications

Despite new results on computing the spectrum, there has been no general...
research
10/20/2022

A Gauss Laguerre approach for the resolvent of fractional powers

This paper introduces a very fast method for the computation of the reso...
research
10/11/2021

Provably Stable Full-Spectrum Dispersion Relation Preserving Schemes

The dispersion error is often the dominant error for computed solutions ...
research
02/18/2021

Error estimates for DeepOnets: A deep learning framework in infinite dimensions

DeepOnets have recently been proposed as a framework for learning nonlin...

Please sign up or login with your details

Forgot password? Click here to reset