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Main Authors: Pozza, Marco, Siconolfi, Antonio
Format: Preprint
Published: 2018
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Online Access:https://arxiv.org/abs/1809.03872
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author Pozza, Marco
Siconolfi, Antonio
author_facet Pozza, Marco
Siconolfi, Antonio
contents We study discounted Hamilton Jacobi equations on networks, without putting any restriction on their geometry. Assuming the Hamiltonians continuous and coercive, we establish a comparison principle and provide representation formulae for solutions. We follow the approach introduced in 11, namely we associate to the differential problem on the network, a discrete functional equation on an abstract underlying graph. We perform some qualitative analysis and single out a distinguished subset of vertices, called lambda Aubry set, which shares some properties of the Aubry set for Eikonal equations on compact manifolds. We finally study the asymptotic behavior of solutions and lambda Aubry sets as the discount factor lambda becomes infinitesimal.
format Preprint
id arxiv_https___arxiv_org_abs_1809_03872
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Discounted Hamilton-Jacobi Equations on Networks and Asymptotic Analysis
Pozza, Marco
Siconolfi, Antonio
Analysis of PDEs
We study discounted Hamilton Jacobi equations on networks, without putting any restriction on their geometry. Assuming the Hamiltonians continuous and coercive, we establish a comparison principle and provide representation formulae for solutions. We follow the approach introduced in 11, namely we associate to the differential problem on the network, a discrete functional equation on an abstract underlying graph. We perform some qualitative analysis and single out a distinguished subset of vertices, called lambda Aubry set, which shares some properties of the Aubry set for Eikonal equations on compact manifolds. We finally study the asymptotic behavior of solutions and lambda Aubry sets as the discount factor lambda becomes infinitesimal.
title Discounted Hamilton-Jacobi Equations on Networks and Asymptotic Analysis
topic Analysis of PDEs
url https://arxiv.org/abs/1809.03872