Lagrange approach to the optimal control of diffusions

Peter Kosmol, Michele Pavon

Research output: Contribution to journalArticlepeer-review

Abstract

A new approach to the optimal control of diffusion processes based on Lagrange functionals is presented. The method is conceptually and technically simpler than existing ones. A first class of functionals allows to obtain optimality conditions without any resort to stochastic calculus and functional analysis. A second class, which requires Ito's rule, allows to establish optimality in a larger class of problems. Calculations in these two methods are sometimes akin to those in minimum principles and in dynamic programming, but the thinking behind them is new. A few examples are worked out to illustrate the power and simplicity of this approach.

Original languageEnglish (US)
Pages (from-to)101-122
Number of pages22
JournalActa Applicandae Mathematicae
Volume32
Issue number2
DOIs
StatePublished - Aug 1993

Keywords

  • diffusion process
  • Lagrange functional
  • Mathematics Subject Classification (1991): 93E20
  • minimum principle
  • Stochastic control

ASJC Scopus subject areas

  • Applied Mathematics

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