Coefficient identification of the regularized p-Stokes equations

Fuente: arXiv
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Autor principal: Schmidt, Niko
Formato: Preprint
Publicado: 2024
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author Schmidt, Niko
author_facet Schmidt, Niko
contents The Antarctic and Greenland ice sheet simulation is challenging due to unknown parameters in the $p$-Stokes equations. In this work, we prove the existence of a solution to a parameter identification for the ice rheology and the friction coefficient. Additionally, we verify Gâteaux differentiability of the coefficient-to-state operator by extending a similar result for distributed control. Moreover, we have more complicated boundary conditions. We only have to add a small diffusion term and assume the nonlinear exponent, which is given in applications, to be small enough to obtain the results. Finally, we state the adjoint equation and prove existence and uniqueness of a solution for this equation.
format Preprint
id arxiv_https___arxiv_org_abs_2404_01766
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Coefficient identification of the regularized p-Stokes equations
Schmidt, Niko
Optimization and Control
49J20, 49J50, 76A05, 76D07
The Antarctic and Greenland ice sheet simulation is challenging due to unknown parameters in the $p$-Stokes equations. In this work, we prove the existence of a solution to a parameter identification for the ice rheology and the friction coefficient. Additionally, we verify Gâteaux differentiability of the coefficient-to-state operator by extending a similar result for distributed control. Moreover, we have more complicated boundary conditions. We only have to add a small diffusion term and assume the nonlinear exponent, which is given in applications, to be small enough to obtain the results. Finally, we state the adjoint equation and prove existence and uniqueness of a solution for this equation.
title Coefficient identification of the regularized p-Stokes equations
topic Optimization and Control
49J20, 49J50, 76A05, 76D07
url https://arxiv.org/abs/2404.01766