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Research Article | Open Access

The fourth-order total variation flow in R n

Yoshikazu Giga1( )Hirotoshi Kuroda2Michał Łasica1,3
Graduate School of Mathematical Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8914, Japan
Department of Mathematics, Hokkaido University, Kita 10, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0810, Japan
Institute of Mathematics, Polish Academy of Sciences, ul. Śniadeckich 8, 00-656 Warszawa, Poland
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Abstract

We define rigorously a solution to the fourth-order total variation flow equation in R n . If n 3, it can be understood as a gradient flow of the total variation energy in D 1 , the dual space of D 0 1 , which is the completion of the space of compactly supported smooth functions in the Dirichlet norm. However, in the low dimensional case n 2, the space D 1 does not contain characteristic functions of sets of positive measure, so we extend the notion of solution to a larger space. We characterize the solution in terms of what is called the Cahn-Hoffman vector field, based on a duality argument. This argument relies on an approximation lemma which itself is interesting. We introduce a notion of calibrability of a set in our fourth-order setting. This notion is related to whether a characteristic function preserves its form throughout the evolution. It turns out that all balls are calibrable. However, unlike in the second-order total variation flow, the outside of a ball is calibrable if and only if n 2. If n 2, all annuli are calibrable, while in the case n = 2, if an annulus is too thick, it is not calibrable. We compute explicitly the solution emanating from the characteristic function of a ball. We also provide a description of the solution emanating from any piecewise constant, radially symmetric datum in terms of a system of ODEs.

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Mathematics in Engineering
Pages 1-45

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Cite this article:
Giga Y, Kuroda H, Łasica M. The fourth-order total variation flow in R n . Mathematics in Engineering, 2023, 5(6): 1-45. https://doi.org/10.3934/mine.2023091

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Received: 12 May 2022
Revised: 12 May 2023
Accepted: 14 May 2023
Published: 15 December 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)