2019
DOI: 10.1007/s00211-019-01043-9
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Error estimates for a finite difference scheme associated with Hamilton–Jacobi equations on a junction

Abstract: This paper is concerned with monotone (time-explicit) finite difference schemes associated with first order Hamilton-Jacobi equations posed on a junction. They extend the schemes recently introduced by Costeseque, Lebacque and Monneau (2013) to general junction conditions. On the one hand, we prove the convergence of the numerical solution towards the viscosity solution of the Hamilton-Jacobi equation as the mesh size tends to zero for general junction conditions. On the other hand, we derive optimal error est… Show more

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Cited by 10 publications
(13 citation statements)
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References 26 publications
(54 reference statements)
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“…Lemma 3.13 (Critical slope for sub-solution [17]). Let u be an upper semi-continuous sub-solution of (13) which satisfies (14) and let ϕ be a test function touching u from above at some point (t 0 , 0) where t 0 ∈ (0, T ). Then the critical slope given bȳ [17]).…”
Section: Reducing the Set Of Test Functionsmentioning
confidence: 99%
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“…Lemma 3.13 (Critical slope for sub-solution [17]). Let u be an upper semi-continuous sub-solution of (13) which satisfies (14) and let ϕ be a test function touching u from above at some point (t 0 , 0) where t 0 ∈ (0, T ). Then the critical slope given bȳ [17]).…”
Section: Reducing the Set Of Test Functionsmentioning
confidence: 99%
“…In [15], the authors find an error estimate of order ∆x 1 3 of the same scheme as in [9], and prove a convergence result for a general junction function at the junction point. This error estimate has been improved in [14] to order ∆x 1 2 . There are also applications in optimal control, for example in [1] where the authors study problem related to flux-limited functions.…”
Section: Hamilton-jacobi Equation and Flux-limited Solutionsmentioning
confidence: 99%
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“…The goal of this paper is to propose junction conditions for local perturbation, bifurcation, merging and multi-in-multiout nodes on a network. Let us refer to the works [26], [27] for some finite difference schemes to solve this type of equations.…”
Section: Introductionmentioning
confidence: 99%