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Geometrically Higher Order Unfitted Space-Time Methods for PDEs on Moving Domains

Numerical Analysis · Submitted 4 Feb 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim These include studies in different dimensions for different polynomial degrees in space and time, validating the higher order accuracy in both variables.

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arXiv ID2202.02216 (version 2)
Pith IDY2JALFI6, Pith's permanent record of this paper and its review
CitationChristoph Lehrenfeld, Fabian Heimann, Janosch Preu{\ss}. "Geometrically Higher Order Unfitted Space-Time Methods for PDEs on Moving Domains." arXiv:2202.02216 (2022). https://pith.science/paper/Y2JALFI6
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,181 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.21 · human participants 0.01 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.10 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

In this paper, we propose new geometrically unfitted space-time Finite Element methods for partial differential equations posed on moving domains of higher order accuracy in space and time. As a model problem, the convection-diffusion problem on a moving domain is studied. For geometrically higher order accuracy, we apply a parametric mapping on a background space-time tensor-product mesh. Concerning discretisation in time, we consider discontinuous Galerkin, as well as related continuous (Petrov-)Galerkin and Galerkin collocation methods. For stabilisation with respect to bad cut configurations and as an extension mechanism that is required for the latter two schemes, a ghost penalty stabilisation is employed. The article puts an emphasis on the techniques that allow to achieve a robust but higher order geometry handling for smooth domains. We investigate the computational properties of the respective methods in a series of numerical experiments. These include studies in different dimensions for different polynomial degrees in space and time, validating the higher order accuracy in both variables.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper, we propose new geometrically unfitted space-time Finite Element methods for partial differential equations posed on moving domains of higher order accuracy in space and time. contribution 1.00 0.92 0.24 asserted 0.99
s1 As a model problem, the convection-diffusion problem on a moving domain is studied. method 0.44 0.65 0.03 asserted 0.98
s2 For geometrically higher order accuracy, we apply a parametric mapping on a background space-time tensor-product mesh. method 0.98 0.89 0.05 asserted 1.00
s3 Concerning discretisation in time, we consider discontinuous Galerkin, as well as related continuous (Petrov-)Galerkin and Galerkin collocation methods. method 0.97 0.78 0.03 asserted 0.98
s4 For stabilisation with respect to bad cut configurations and as an extension mechanism that is required for the latter two schemes, a ghost penalty stabilisation is employed. method 0.98 0.83 0.05 asserted 1.00
s5 The article puts an emphasis on the techniques that allow to achieve a robust but higher order geometry handling for smooth domains. contribution 0.90 0.43 0.18 asserted 0.87
s6 We investigate the computational properties of the respective methods in a series of numerical experiments. method 0.60 0.94 0.04 asserted 0.96
s7 These include studies in different dimensions for different polynomial degrees in space and time, validating the higher order accuracy in both variables. result 0.47 0.94 0.19 asserted 0.98

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.99.

What was examined, and what was not

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In this paper, we propose new geometrically unfitted space-time Finite Element methods for partial differential equations posed on moving domains of higher order accuracy in space and time. As a model problem, the convection-diffusion problem on a moving domain is studied. For geometrically higher order accuracy, we apply a parametric mapping on a background space-time tensor-product mesh. Concerning discretisation in time, we consider discontinuous Galerkin, as well as related continuous (Petrov-)Galerkin and Galerkin collocation methods. For stabilisation with respect to bad cut configurations and as an extension mechanism that is required for the latter two schemes, a ghost penalty stabilisation is employed. The article puts an emphasis on the techniques that allow to achieve a robust but higher order geometry handling for smooth domains. We investigate the computational properties of the respective methods in a series of numerical experiments. These include studies in different dimensions for different polynomial degrees in space and time, validating the higher order accuracy in both variables.

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2 arXiv papers cite this in 11 sentences

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