A Posteriori Error Estimates for Approximate Solutions to the Obstacle Problem for the -Laplacian

Abstract: The paper is concerned with a functional identity and estimates that are fulfilled for themeasures of deviations from exact solutions of the obstacle problem for the -Laplacian. They hold true for any functions fromthe corresponding (energy) functional class, which contains the generalized solution to the problemas well. We do not use any special properties of approximations or numerical methods norinformation on the exact configuration of the coincidence set. The right-hand side of the identitiesand estimates contains only known functions and can be explicitly calculated, and the left-handside represents a certain measure of the deviation of the approximate solution from the exact one.The right-hand side of the identity and estimates contains only known functions and can beexplicitly calculated, while and the left-hand side represents a certain measure of the deviation ofthe approximate solution from the exact one. The obtained functional relations allow one toestimate the error of any approximate solutions to the problem regardless of the method of howthey are obtained. In addition, they enable one to compare the exact solutions to problems withdifferent data. The latter provides the possibility to estimate the errors of mathematical models. © 2025 Elsevier B.V., All rights reserved.

Издательство
Pleiades Publishing, Ltd. (Плеадес Паблишинг, Лтд)
Номер выпуска
10
Язык
Английский
Страницы
1476-1490
Статус
Опубликовано
Том
60
Год
2024
Организации
  • 1 RUDN University, Moscow, Russian Federation
  • 2 St. Petersburg Department of V.A.Steklov Institute of Mathematics of the Russian Academy of Sciences, Saint Petersburg, Russian Federation
Ключевые слова
-Laplacian; a posteriori estimate; free boundary problems
Цитировать
Поделиться

Другие записи

Аватков В.А., Апанович М.Ю., Борзова А.Ю., Бордачев Т.В., Винокуров В.И., Волохов В.И., Воробьев С.В., Гуменский А.В., Иванченко В.С., Каширина Т.В., Матвеев О.В., Окунев И.Ю., Поплетеева Г.А., Сапронова М.А., Свешникова Ю.В., Фененко А.В., Феофанов К.А., Цветов П.Ю., Школярская Т.И., Штоль В.В. ...
Общество с ограниченной ответственностью Издательско-торговая корпорация "Дашков и К". 2018. 411 с.