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Quelques problèmes de transport et de contrôle en économie: aspects théoriques et numériques


  • Salomon, Julien
  • Carlier, Guillaume


  • Lachapelle, Aimé


In this thesis we explore some uses of optimal control and mass transport in economic modeling. We thus catch the opportunity to bring together some works involving both tools, sometimes mixing them. First, we briefly present the recent mean field games theory introduced by Lasry & Lions and focus on the optimal control of Fokker-Planck setting. We take advantage of this aspect in order to obtain both existence results and numerical methods to approximate solutions. We test the algorithms on two complementary settings, namely the convex setting (crowd aversion, two populations dynamics) and the concave one (attraction, externalities and scale effect for a stylized technology switch model). Secondly, we study matching problems combining optimal transport and optimal control. The planner looks for an optimal coupling, fixed during the considered time period (commitment), knowing that the marginals evolve (possibly randomly) and that she can control the evolution. Finally we reformulate a risk-sharing problem between d agents (for whose we prove an existence result) into an optimal control problem with comonotonic constraints. This enables us to write optimality conditions that we use to build a simple convergent algorithm.

Suggested Citation

  • Lachapelle, Aimé, 2010. "Quelques problèmes de transport et de contrôle en économie: aspects théoriques et numériques," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/5226 edited by Salomon, Julien & Carlier, Guillaume.
  • Handle: RePEc:dau:thesis:123456789/5226
    Note: dissertation

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    More about this item


    Jeux à champ moyen; calculus of variations; Fokker-Planck control; mathematical economics; contrôle optimal; transport optimal; approximations numériques; calcul des variations; contrôle de Fokker-Planck; économie mathématique; Mean field games; optimal control; optimal transport; numerical approximations;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics


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