NANAMar 6

A Multi-Order Extension of Fractional HBVMs (FHBVMs)

arXiv:2512.04737h-index: 36
AI Analysis

For researchers and practitioners solving fractional differential equations, this extension addresses a previously unsupported class of multi-order problems, though it is an incremental extension of existing methods.

This paper extends Fractional HBVMs (FHBVMs) to solve multi-order fractional differential equations, where different fractional derivatives occur. The new method is implemented in Matlab and shown to be effective for such problems.

The efficient numerical solution of fractional differential equations has been recently tackled through the definition of Fractional HBVMs (FHBVMs), a class of Runge-Kutta type methods. Corresponding Matlab (c) codes have been also made available on the internet, proving to be very competitive w.r.t. existing ones. However, so far, FHBVMs have been given for solving systems of fractional differential equations with the same order of fractional derivative, whereas the numerical solution of multi-order problems (i.e., problems in which different orders of fractional derivatives occur) has not been handled, yet. Due to their relevance in applications, in this paper we propose an extension of FHBVMs for addressing fractional multi-order problems, providing full details for such an approach. A corresponding Matlab (c) code, handling the case of two different fractional orders, is also made available, proving very effective for numerically solving these problems.

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