General theory for integer-type algorithm for higher order differential equations

TL;DR

This paper introduces an integer-based algorithm for solving higher-order linear Fuchsian-type ODEs, leveraging a band-diagonal matrix representation and functional analysis to achieve high accuracy solutions.

Contribution

The paper presents a novel integer-type algorithm using a band-diagonal matrix approach for higher-order ODEs, differing from traditional Galerkin methods.

Findings

High accuracy demonstrated in numerical tests

Algorithm effectively extracts true solutions from l^2 sequences

Applicable to polynomial and rational coefficient functions

Abstract

Based on functional analysis, we propose an algorithm for finite-norm solutions of higher-order linear Fuchsian-type ordinary differential equations (ODEs) P(x,d/dx)f(x)=0 with P(x,d/dx):=[\sum_m p_m (x) (d/dx)^m] by using only the four arithmetical operations on integers. This algorithm is based on a band-diagonal matrix representation of the differential operator P(x,d/dx), though it is quite different from the usual Galerkin methods. This representation is made for the respective CONSs of the input Hilbert space H and the output Hilbert space H' of P(x,d/dx). This band-diagonal matrix enables the construction of a recursive algorithm for solving the ODE. However, a solution of the simultaneous linear equations represented by this matrix does not necessarily correspond to the true solution of ODE. We show that when this solution is an l^2 sequence, it corresponds to the true solution of ODE. We invent a method based on an integer-type algorithm for extracting only l^2 components. Further, the concrete choice of Hilbert spaces H and H' is also given for our algorithm when p_m is a polynomial or a rational function with rational coefficients. We check how our algorithm works based on several numerical demonstrations related to special functions, where the results show that the accuracy of our method is extremely high.