Aubry set of eikonal Hamilton–Jacobi equations on networks

We extend the study of eikonal Hamilton–Jacobi equations posed on networks performed by Siconolfi and Sorrentino (Anal. PDE, 2018) to a more general setting. Their approach essentially exploits that such equations correspond to discrete problems on an abstract underlying graph. However, a specific condition they assume can be rather restricting in some settings, which motivates the generalization we propose. We still get an Aubry set, which plays the role of a uniqueness set for our problem and appears in the representation of solutions. Exploiting it we establish a new comparison principle between super and subsolutions to the equation.

Authors

Publication Details

Journal
Discrete and Continuous Dynamical Systems
Published
2025-01-01
DOI
https://doi.org/10.3934/dcds.2025071
Citations
1
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aubry set of eikonal Hamilton–Jacobi equations on networks

Marco Pozza
1 citations
Discrete and Continuous Dynamical Systems
Control and Stability of Dynamical Systems
1.21
article

Aubry set of eikonal Hamilton–Jacobi equations on networks

Marco Pozza
article en
1 citations

Abstract

We extend the study of eikonal Hamilton–Jacobi equations posed on networks performed by Siconolfi and Sorrentino (Anal. PDE, 2018) to a more general setting. Their approach essentially exploits that such equations correspond to discrete problems on an abstract underlying graph. However, a specific condition they assume can be rather restricting in some settings, which motivates the generalization we propose. We still get an Aubry set, which plays the role of a uniqueness set for our problem and appears in the representation of solutions. Exploiting it we establish a new comparison principle between super and subsolutions to the equation.

Discrete and Continuous Dynamical SystemsVol. 45(12)
Openalex Percentile: Top 21%
Control and Stability of Dynamical Systems
1.21
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.