Explicit and compact representations for the Green's function and the Solution of Linear Difference Equations with variable coefficients
A. G. Paraskevopoulos, M. Karanasos

TL;DR
This paper introduces explicit, compact representations for the Green's function and solutions of linear difference equations with variable coefficients, utilizing modified Leibniz formulas and Hessenbergian structures.
Contribution
It develops a novel Leibnizian and nested sum framework for representing Green's functions and fundamental solutions of difference equations with variable coefficients.
Findings
Explicit compact Green's function representation derived
Fundamental solutions expressed via banded Hessenbergian structures
Algorithms and software implementations demonstrate the results
Abstract
Leibniz' combinatorial formula for determinants is modified to establish a condensed and easily handled compact representation for Hessenbergians, referred to here as Leibnizian representation. Alongside, the elements of a fundamental solution set associated with linear difference equations with variable coefficients of order are explicitly represented by banded Hessenbergian solutions, built up solely of the variable coefficients. This yields banded Hessenbergian representations for the elements both of the product of companion matrices and of the determinant ratio formula of the one-sided Green's function (Green's function for short). Combining the above results, the elements of the foregoing notions are endowed with compact representations formulated here by Leibnizian and nested sum representations. We show that the elements of the fundamental solution set can be expressed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods · Numerical methods for differential equations · advanced mathematical theories
