arXiv · 1902.05619
Superposition principle and schemes for Measure Differential Equations
Abstract
Measure Differential Equations (MDE) describe the evolution of probability measures driven by probability velocity fields, i.e. probability measures on the tangent bundle. They are, on one side, a measure-theoretic generalization of ordinary differential equations; on the other side, they allow to describe concentration and diffusion phenomena typical of kinetic equations. In this paper, we analyze some properties of this class of differential equations, especially highlighting their link with nonlocal continuity equations. We prove a representation result in the spirit of the Superposition Principle by Ambrosio-Gigli-Savar\'e, and we provide alternative schemes converging to a solution of the MDE, with a particular view to uniqueness/non-uniqueness phenomena.
Explore related subjects
Keep this discovery
Fabio Camilli, Giulia Cavagnari, Raul De Maio, Benedetto Piccoli. 2019-02-14. Superposition principle and schemes for Measure Differential Equations. https://doi.org/10.3934/krm.2020050
Cite the original work for its findings. Save a collection to share your selection of sources.