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-Savaré, and we provide alternative schemes converging to a solution of the MDE, with a particular view to uniqueness/non-uniqueness phenomena.

Superposition principle and schemes for measure differential equations / Camilli, F.; Cavagnari, G.; DE MAIO, R.; Piccoli, B.. - In: KINETIC AND RELATED MODELS. - ISSN 1937-5093. - 14:1(2021), pp. 89-113. [10.3934/krm.2020050]

### 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-Savaré, and we provide alternative schemes converging to a solution of the MDE, with a particular view to uniqueness/non-uniqueness phenomena.
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Measure differential equations; measure dynamics; measurevalued solution; probability vector fields; superposition principle
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Superposition principle and schemes for measure differential equations / Camilli, F.; Cavagnari, G.; DE MAIO, R.; Piccoli, B.. - In: KINETIC AND RELATED MODELS. - ISSN 1937-5093. - 14:1(2021), pp. 89-113. [10.3934/krm.2020050]
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Utilizza questo identificativo per citare o creare un link a questo documento: `https://hdl.handle.net/11573/1566708`
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