Discrete Hamilton-Jacobi Theory
Tomoki Ohsawa, Anthony M. Bloch, Melvin Leok

TL;DR
This paper develops a discrete Hamilton-Jacobi theory in discrete Hamiltonian mechanics, connecting it to optimal control, Riccati equations, and dynamic programming, providing new insights into discrete-time control systems.
Contribution
It introduces a discrete Hamilton-Jacobi framework, linking it to classical control equations and extending the Bellman equation with controls at internal stages.
Findings
Discrete Hamilton-Jacobi equation derived for discrete systems
Connection established between discrete Hamilton-Jacobi and Bellman equations
Generalized Bellman equation with controls at internal stages
Abstract
We develop a discrete analogue of Hamilton-Jacobi theory in the framework of discrete Hamiltonian mechanics. The resulting discrete Hamilton-Jacobi equation is discrete only in time. We describe a discrete analogue of Jacobi's solution and also prove a discrete version of the geometric Hamilton-Jacobi theorem. The theory applied to discrete linear Hamiltonian systems yields the discrete Riccati equation as a special case of the discrete Hamilton-Jacobi equation. We also apply the theory to discrete optimal control problems, and recover some well-known results, such as the Bellman equation (discrete-time HJB equation) of dynamic programming and its relation to the costate variable in the Pontryagin maximum principle. This relationship between the discrete Hamilton-Jacobi equation and Bellman equation is exploited to derive a generalized form of the Bellman equation that has controls at…
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