Second class constraints and the consistency of optimal control theory in phase space

Mauricio Contreras G., Juan Pablo Peña, Rodrigo Aros

Research output: Contribution to journalArticlepeer-review

Abstract

As has been shown in the literature (Rothe and Rothe, 2010; Rothe and Scholtz, 2003), the description of a mechanical system in terms of canonical transformations together with the Hamilton–Jacobi equation for the S function is ill-defined when the system has second class constraints. In this case, Carathéodory's integrability conditions are violated and either the corresponding Hamilton–Jacobi equation cannot be solved or their solutions do not describe the system at all. This can be remedied by enlarging the phase space so that the constraints become first class in the extended space. Another way to approach this problem, is to apply the Rothe–Scholtz method discussed in Rothe and Rothe (2010) and Rothe and Scholtz (2003), so that the constraints themselves become variables of a new canonical transformation. This method works when the elements of the Dirac matrix are constant. On the other hand, it has been shown that optimal control theory can be written in phase space as a mechanical system with second class restrictions (Itami, 2001; Hojman, 0000; Contreras et al., 2017; Contreras and Peña 2018). This implies that the description of control theory can become inconsistent in terms of the Hamilton–Jacobi equation. In this article we will use the description of Rothe–Scholtz to analyse a subclass of LQ linear-quadratic problems whose Dirac matrix is constant and to check if the integrability conditions can be fulfilled so as to not get inconsistencies.

Original languageEnglish
Article number125335
JournalPhysica A: Statistical Mechanics and its Applications
Volume562
DOIs
Publication statusPublished - 15 Jan 2021

Keywords

  • Canonical transformations
  • Carathéodory integration conditions
  • Dirac's method
  • Hamilton–Jacobi–Bellman equation
  • Optimal control theory
  • Second class constrained systems

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

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