Towards a Unified Theory of Fractional and Nonlocal Vector Calculus
Marta D'Elia, Mamikon Gulian, Hayley Olson, George Em Karniadakis

TL;DR
This paper develops a unified framework for nonlocal and fractional vector calculus, integrating various existing theories, establishing foundational identities, and enabling advanced modeling of complex multiscale phenomena.
Contribution
It consolidates fractional and nonlocal vector calculus into a single coherent theory, introduces an equivalence kernel for Laplacian operators, and proves Green's identity for nonlocal problems.
Findings
Fractional vector calculus is shown as a special case of nonlocal calculus.
An equivalence kernel relates unweighted and weighted Laplacian operators.
Green's identity is established for nonlocal volume-constrained problems.
Abstract
Nonlocal and fractional-order models capture effects that classical partial differential equations cannot describe; for this reason, they are suitable for a broad class of engineering and scientific applications that feature multiscale or anomalous behavior. This has driven a desire for a vector calculus that includes nonlocal and fractional gradient, divergence and Laplacian type operators, as well as tools such as Green's identities, to model subsurface transport, turbulence, and conservation laws. In the literature, several independent definitions and theories of nonlocal and fractional vector calculus have been put forward. Some have been studied rigorously and in depth, while others have been introduced ad-hoc for specific applications. The goal of this work is to provide foundations for a unified vector calculus by (1) consolidating fractional vector calculus as a special case of…
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
TopicsFractional Differential Equations Solutions · Advanced Mathematical Modeling in Engineering · Nanofluid Flow and Heat Transfer
