Measure dynamics with probability vector fields and sources

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Abstract

We introduce a new formulation for differential equation describing dynamics of measures on an Euclidean space, that we call Measure Differential Equations with sources. They mix two different phenomena: on one side, a transport-type term, in which a vector field is replaced by a Probability Vector Field, that is a probability distribution on the tangent bundle; on the other side, a source term. Such new formulation allows to write in a unified way both classical transport and diffusion with finite speed, together with creation of mass. The main result of this article shows that, by introducing a suitable Wasserstein-like functional, one can ensure existence of solutions to Measure Differential Equations with sources under Lipschitz conditions. We also prove a uniqueness result under the following additional hypothesis: the measure dynamics needs to be compatible with dynamics of measures that are sums of Dirac masses.

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APA

Piccoli, B., & Rossi, F. (2019). Measure dynamics with probability vector fields and sources. Discrete and Continuous Dynamical Systems- Series A, 39(11), 6207–6230. https://doi.org/10.3934/dcds.2019270

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