Modeling advection on distance-weighted directed networks
In this paper, we propose a model for describing advection dynamics on distance-weighted directed graphs. To this end we establish a set of key properties, or axioms, that a discrete advection operator should satisfy, and prove that there exists an essentially unique operator satisfying all such properties. Both infinite and finite networks are considered, as well as possible variants and extensions. We illustrate the proposed model through examples, both analytical and numerical, and we describe an application to the simulation of a traffic network.
Authors
- Fabio Durastante (ORCID: https://orcid.org/0000-0002-1412-8289)
- Michele Benzi (ORCID: https://orcid.org/0000-0001-6099-0294)
- Francesco Zigliotto
Institutions
- University of Pisa (IT)
- Scuola Normale Superiore (IT)
Publication Details
- Journal
- Mathematical Models and Methods in Applied Sciences
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1142/s0218202525500162
- Citations
- 1
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.48