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  1. Pubblicazioni

Measure dynamics with probability vector fields and sources

Articolo
Data di Pubblicazione:
2019
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.
Tipologia CRIS:
1.1 Articolo su Rivista
Keywords:
Generalized Wasserstein distance; Mass-varying dynamics; Measure dynamics; Probability Vector Fields; Wasserstein distance
Elenco autori:
Piccoli, Benedetto; Rossi, Francesco
Autori di Ateneo:
ROSSI FRANCESCO
Link alla scheda completa:
https://air.iuav.it/handle/11578/331200
Link al Full Text:
https://air.iuav.it//retrieve/handle/11578/331200/207479/Measure_dynamics_with_Probability_Vector_Fields_an.pdf
Pubblicato in:
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
Journal
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