The Pontryagin Maximum Principle in the Wasserstein Space
arXiv:1711.07667 · doi:10.1007/s00526-018-1447-2
Abstract
We prove a Pontryagin Maximum Principle for optimal control problems in the space of probability measures, where the dynamics is given by a transport equation with non-local velocity. We formulate this first-order optimality condition using the formalism of subdifferential calculus in Wasserstein spaces. We show that the geometric approach based on needle variations and on the evolution of the covector (here replaced by the evolution of a mesure on the dual space) can be translated into this formalism.
31 pages, 1 figure
References in corpus (3)
Cited by in corpus (10)
- A Pontryagin Maximum Principle in Wasserstein Spaces for Constrained Optimal Control Problems
- Generalized Dynamic Programming Principle and Sparse Mean-Field Control Problems
- Semiconcavity and Sensitivity Analysis in Mean-Field Optimal Control and Applications
- Dynamic Programming in Probability Spaces via Optimal Transport
- Optimal control of nonlocal continuity equations: numerical solution
- Vanishing viscosity in mean-field optimal control
- On the Lebesgue measure of the boundary of the evoluted set
- Carathéodory Theory and A Priori Estimates for Continuity Inclusions in the Space of Probability Measures
- A Pontryagin Maximum Principle for agent-based models with convex state space
- First-order Conditions for Optimization in the Wasserstein Space