Paper
Backward problem for a degenerate viscous Hamilton-Jacobi equation: stability and numerical identification
Authors
S. E. Chorfi, A. Habbal, M. Jahid, L. Maniar, A. Ratnani
Abstract
This work is devoted to the analysis of the backward problem for a viscous Hamilton-Jacobi equation with degenerate diffusion and a general Hamiltonian that is not necessarily quadratic. First, we focus on linear degenerate parabolic equations in the nondivergence setting. We prove the conditional stability of the backward problem using Carleman estimates. Then, by a linearization technique, we prove similar results for the nonlinear viscous Hamilton-Jacobi equation. Regarding numerical identification, we first investigate the linear degenerate equation with noisy data using the adjoint state method, combined with a Conjugate Gradient algorithm, to solve the associated minimization problem. Finally, the numerical identification for the nonlinear viscous Hamilton-Jacobi equation is investigated by the Van Cittert iteration. Numerical tests are presented to show the performance of the proposed algorithms.
Metadata
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.09509v1</id>\n <title>Backward problem for a degenerate viscous Hamilton-Jacobi equation: stability and numerical identification</title>\n <updated>2026-03-10T11:10:24Z</updated>\n <link href='https://arxiv.org/abs/2603.09509v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.09509v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>This work is devoted to the analysis of the backward problem for a viscous Hamilton-Jacobi equation with degenerate diffusion and a general Hamiltonian that is not necessarily quadratic. First, we focus on linear degenerate parabolic equations in the nondivergence setting. We prove the conditional stability of the backward problem using Carleman estimates. Then, by a linearization technique, we prove similar results for the nonlinear viscous Hamilton-Jacobi equation. Regarding numerical identification, we first investigate the linear degenerate equation with noisy data using the adjoint state method, combined with a Conjugate Gradient algorithm, to solve the associated minimization problem. Finally, the numerical identification for the nonlinear viscous Hamilton-Jacobi equation is investigated by the Van Cittert iteration. Numerical tests are presented to show the performance of the proposed algorithms.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='math.AP'/>\n <category scheme='http://arxiv.org/schemas/atom' term='math.NA'/>\n <published>2026-03-10T11:10:24Z</published>\n <arxiv:primary_category term='math.AP'/>\n <author>\n <name>S. E. Chorfi</name>\n </author>\n <author>\n <name>A. Habbal</name>\n </author>\n <author>\n <name>M. Jahid</name>\n </author>\n <author>\n <name>L. Maniar</name>\n </author>\n <author>\n <name>A. Ratnani</name>\n </author>\n </entry>"
}