We prove the stability of entropy solutions of nonlinear conservation laws with respect to perturbations of the initial datum, the space-time dependent flux and the entropy inequalities. Such a general stability theorem is motivated by the study of problems in which the flux P[u](t, x, u) depends possibly non-locally on the solution itself. For these problems we show the conditional existence and uniqueness of entropy solutions. Moreover, the relaxation of the entropy inequality allows to treat approximate solutions arising from various numerical schemes. This can be used to derive the rate of convergence of the recent particle method introduced in Radici and Stra (SIAM J Math Anal 55(3):2001–2041, 2023. https://doi.org/10.1137/21M1462994) to solve a one-dimensional model of traffic with congestion, as well as recover already known rates for some other approximation methods.
Stability of quasi-entropy solutions of non-local scalar conservation laws / Marconi, Elio; Radici, Emanuela; Stra, Federico. - In: CALCULUS OF VARIATIONS AND PARTIAL DIFFERENTIAL EQUATIONS. - ISSN 1432-0835. - 64:1(2025). [10.1007/s00526-024-02848-9]
Stability of quasi-entropy solutions of non-local scalar conservation laws
Federico Stra
2025
Abstract
We prove the stability of entropy solutions of nonlinear conservation laws with respect to perturbations of the initial datum, the space-time dependent flux and the entropy inequalities. Such a general stability theorem is motivated by the study of problems in which the flux P[u](t, x, u) depends possibly non-locally on the solution itself. For these problems we show the conditional existence and uniqueness of entropy solutions. Moreover, the relaxation of the entropy inequality allows to treat approximate solutions arising from various numerical schemes. This can be used to derive the rate of convergence of the recent particle method introduced in Radici and Stra (SIAM J Math Anal 55(3):2001–2041, 2023. https://doi.org/10.1137/21M1462994) to solve a one-dimensional model of traffic with congestion, as well as recover already known rates for some other approximation methods.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2995114