A ⋆\star-product solver with spectral accuracy for non-autonomous ordinary differential equations

Abstract

A new method for solving non-autonomous ordinary differential equations is proposed, the method achieves spectral accuracy. It is based on a new result which expresses the solution of such ODEs as an element in the so called ⋆\star-algebra. This algebra is equipped with a product, the ⋆\star-product, which is the integral over the usual product of two bivariate distributions. Expanding the bivariate distributions in bases of Legendre polynomials leads to a discretization of the ⋆\star-product and this allows for the solution to be approximated by a vector that is obtained by solving a linear system of equations. The effectiveness of this approach is illustrated with numerical experiments

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