7–11 Sept 2026
Humboldt Universität zu Berlin
Europe/Berlin timezone

A Lagrange-multiplier algorithm for mean curvature flow: structure-preservation and error estimates

11 Sept 2026, 11:30
1h
Main Building/Floor 1-Room Senatssaal - Senatssaal (HU (Main Building))

Main Building/Floor 1-Room Senatssaal - Senatssaal

HU (Main Building)

HU Berlin Main Building Unter den Linden 6 10117 Berlin
150
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Plenary Talks Plenary Talk

Speaker

Balázs Kovács (Paderborn University)

Description

In this talk we will present and discuss a fully discrete algorithm for mean curvature flow of closed surfaces using Lagrange multipliers for preserving the energy-decreasing structure. The algorithm is based on the solution-driven formulation using Huisken's evolution equations for the normal vector and the mean curvature. The method uses a high-order multistep methods in time and evolving surface finite elements in space.
The approach also accommodates artificial tangential velocities of minimal deformation rate-type (MDR-type). The resulting fully discrete algorithms are area-decreasing at every time step, with a prescribed decay rate determined by the computed mean curvature.

We will discuss local existence and uniqueness of the discrete Lagrange multiplier and convergence of a simplified Newton iteration for its computation under weak regularity assumptions, and present optimal-order error estimates without and with tangential motion.

The talk is based on joint work with Christian Lubich (Tübingen) and Buyang Li (PolyU Hong Kong).

Author

Balázs Kovács (Paderborn University)

Presentation materials

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