PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 28, 2026Journal of Hyperbolic Differential Equations0 citations

Generic solutions to controlled balance laws

View Full Paper
ABAlberto BressanKNK. T. Nguyen

Key Points

  • This research aims to explore the behavior of solutions to scalar balance laws influenced by control functions, particularly focusing on shock interactions.
  • Analyzed scalar balance law with a control function affecting the source term.
  • Investigated shock interactions under generic initial conditions.
  • Developed optimal control problems involving running and terminal costs.
  • Constructed examples to illustrate shock merging at terminal time and stability under perturbations.
  • Proved that solutions can have finitely many shocks interacting at most two at a time.
  • Showed that no new shocks are formed by terminal time and that shock interactions disappear.
  • Demonstrated that optimal solutions exhibit different qualitative properties compared to Cauchy problem solutions.

Abstract

The paper is concerned with a scalar balance law, where the source term depends on a control function Formula: see text. Given a control Formula: see text, it is proved that, for generic initial data Formula: see text, the solution has finitely many shocks, interacting at most two at a time. Moreover, at the terminal time Formula: see text no shock interaction occurs and no new shock is formed. In addition, a family of optimal control problems is considered, including a running cost and a terminal cost. An example is constructed where the optimal solution contains two shocks merging exactly at the terminal time Formula: see text. Such behavior persists under any suitably small perturbation of the flux, source and cost functions, and of the initial data. This shows that generic solutions of optimization problems have different qualitative properties, compared with generic solutions to Cauchy problems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bressan et al. (2026) studied this question.

synapsesocial.com/papers/69a288170a974eb0d3c040f5https://doi.org/10.1142/s0219891626400023
Ask AI
Helpful
Bookmark
Share
View Full Paper