Numerical reconstruction of the kernel function in generalized non-convolutional fractional operators

dc.contributor.authorAl-Shdaifat, Hamza
dc.contributor.authorRodríguez López, Rosana
dc.date.accessioned2026-04-24T07:02:32Z
dc.date.available2026-04-24T07:02:32Z
dc.date.issued2026-05-15
dc.description.abstractThis paper deals with the numerical reconstruction of the kernel function 𝜅(𝑡,𝑧) for a new class of generalized non-convolutional fractional operators. These operators are defined in integral form of Volterra type and the general kernel is not always reducible to classical convolutiontype expressions. The work focuses on the reconstruction of the kernel starting from the generalized Sonin condition, which connects the kernel of the integral operator with that of the corresponding differential operator. Taking the generalized Sonin condition as the starting point, we propose a constructive numerical method by approximating the functional identity obtained from the integration of the product of both kernels, operation that is achieved by proper integration on segment lines of the domain. By casting the theoretical requirements as one-dimensional integral estimations on parameterized trajectories (segment lines), the problem becomes a nonlinear inverse problem for the determination of one of the kernels, 𝜅, provided that the other one is known. Our approach is based on the selection of a proper partition of the domain, and the consideration of the auxiliary functions 𝜑𝑡,𝑧 and 𝜙𝑡,𝑧, which are combined in such a way that it is possible to compute the unknown functions 𝜓𝑡,𝑧 and 𝛹𝑡,𝑧, provided that the given restrictions on the integrals in the generalized Sonin condition are fulfilled. The feasibility of reconstructing the kernel in some chosen test examples is illustrated by some numerical procedures, as a first step toward the implementation of generalized fractional models in numerical simulations, and also as a tool for the selection of proper kernels in the definition of generalized fractional operators.
dc.description.peerreviewedSI
dc.description.sponsorshipThis research was partially supported by the Agencia Estatal de Investigación (AEI) of Spain, co-financed by the European Fund for Regional Development (FEDER) corresponding to the 2021–2024 multiyear financial framework, project PID2020-113275GB-I00, and ED431C 2023/12 (GRC Xunta de Galicia).
dc.identifier.citationAl-Shdaifat, H., & Rodríguez-López, R. (2026). Numerical reconstruction of the kernel function in generalized non-convolutional fractional operators. Journal of Computational and Applied Mathematics, 477, 117202. 10.1016/j.cam.2025.117202
dc.identifier.doi10.1016/j.cam.2025.117202
dc.identifier.essn1879-1778
dc.identifier.urihttps://hdl.handle.net/10347/46954
dc.journal.titleJournal of Computational and Applied Mathematics
dc.language.isoeng
dc.page.final12
dc.page.initial1
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113275GB-I00/ES/ECUACIONES DIFERENCIALES ORDINARIAS NO LINEALES Y APLICACIONES
dc.relation.publisherversionhttps://doi.org/10.1016/j.cam.2025.117202
dc.rights© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ).
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGeneralized fractional operators
dc.subjectKernels
dc.subjectNumerical reconstruction
dc.titleNumerical reconstruction of the kernel function in generalized non-convolutional fractional operators
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number477
dspace.entity.typePublication
relation.isAuthorOfPublication5325806d-046b-4f29-b878-38d23f1a0d1e
relation.isAuthorOfPublication.latestForDiscovery5325806d-046b-4f29-b878-38d23f1a0d1e

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