Young measure relaxation gaps for controllable systems with smooth state constraints

In this article, we tackle the problem of the existence of a gap corresponding to Young measure relaxations for state-constrained optimal control problems. We provide a counterexample proving that a gap may occur in a very regular setting, namely for a smooth controllable system state-constrained to the closed unit ball, provided that the Lagrangian density (i.e., the running cost) is non-convex in the control variables. The example is constructed in the setting of sub-Riemannian geometry with the core ingredient being an unusual admissible curve that exhibits a certain form of resistance to state-constrained approximation. Specifically, this curve cannot be approximated by neighboring admissible curves while obeying the state constraint due to the intricate nature of the dynamics near the boundary of the constraint set. This example therefore demonstrates the impossibility of Filippov–Wažewski type approximation in the presence of state constraints. Our example also presents an occupation measure relaxation gap.

Institutions

Publication Details

Journal
Journal of Differential Equations
Published
2025-12-22
DOI
https://doi.org/10.1016/j.jde.2025.114036
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Young measure relaxation gaps for controllable systems with smooth state constraints

Journal of Differential Equations
Optimization and Variational Analysis
article

Young measure relaxation gaps for controllable systems with smooth state constraints

article en

Abstract

In this article, we tackle the problem of the existence of a gap corresponding to Young measure relaxations for state-constrained optimal control problems. We provide a counterexample proving that a gap may occur in a very regular setting, namely for a smooth controllable system state-constrained to the closed unit ball, provided that the Lagrangian density (i.e., the running cost) is non-convex in the control variables. The example is constructed in the setting of sub-Riemannian geometry with the core ingredient being an unusual admissible curve that exhibits a certain form of resistance to state-constrained approximation. Specifically, this curve cannot be approximated by neighboring admissible curves while obeying the state constraint due to the intricate nature of the dynamics near the boundary of the constraint set. This example therefore demonstrates the impossibility of Filippov–Wažewski type approximation in the presence of state constraints. Our example also presents an occupation measure relaxation gap.

Journal of Differential EquationsVol. 459
Centre National de la Recherche Scientifique (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR), Czech Technical University in Prague (CZ), UiT The Arctic University of Norway (NO)
Openalex Percentile: Top 29%
Optimization and Variational Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.