Piecewise rank‐one approximation of vector fields with measure derivatives

Abstract This work addresses the question of density of piecewise constant (resp. rigid) functions in the space of vector‐valued functions with bounded variation (resp. deformation) with respect to the strict convergence. Such an approximation property cannot hold when considering the usual total variation in the space of measures associated to the standard Frobenius norm in the space of matrices. It turns out that oscillation and concentration phenomena interact in such a way that the Frobenius norm has to be homogenized into a (resp. symmetric) Schatten‐1 norm that coincides with the Euclidean norm on rank‐one (resp. symmetric) matrices. By means of explicit constructions consisting of the superposition of sequential laminates, the validity of an optimal approximation property is established at the expense of endowing the space of measures with a total variation associated with the homogenized norm in the space of matrices.

Authors

Institutions

Publication Details

Journal
Bulletin of the London Mathematical Society
Published
2024-11-26
DOI
https://doi.org/10.1112/blms.13190
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Piecewise rank‐one approximation of vector fields with measure derivatives

Jean‐François Babadjian, Flaviana Iurlano
1 citations
Bulletin of the London Mathematical Society
Matrix Theory and Algorithms
0.36
article

Piecewise rank‐one approximation of vector fields with measure derivatives

Jean‐François Babadjian, Flaviana Iurlano
article en
1 citations

Abstract

Abstract This work addresses the question of density of piecewise constant (resp. rigid) functions in the space of vector‐valued functions with bounded variation (resp. deformation) with respect to the strict convergence. Such an approximation property cannot hold when considering the usual total variation in the space of measures associated to the standard Frobenius norm in the space of matrices. It turns out that oscillation and concentration phenomena interact in such a way that the Frobenius norm has to be homogenized into a (resp. symmetric) Schatten‐1 norm that coincides with the Euclidean norm on rank‐one (resp. symmetric) matrices. By means of explicit constructions consisting of the superposition of sequential laminates, the validity of an optimal approximation property is established at the expense of endowing the space of measures with a total variation associated with the homogenized norm in the space of matrices.

Bulletin of the London Mathematical SocietyVol. 57(1)
Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), University of Genoa (IT)
Centre National de la Recherche Scientifique, Fondation Mathématique Jacques Hadamard
Openalex Percentile: Top 34%
Matrix Theory and Algorithms
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.