English

Uniform estimates for a Modica-Mortola type approximation of branched transportation

Analysis of PDEs 2015-09-29 v3 Optimization and Control

Abstract

Models for branched networks are often expressed as the minimization of an energy MαM^\alpha over vector measures concentrated on 11-dimensional rectifiable sets with a divergence constraint. We study a Modica-Mortola type approximation MεαM^\alpha_\varepsilon, introduced by Edouard Oudet and Filippo Santambrogio, which is defined over H1H^1 vector measures. These energies induce some pseudo-distances between L2L^2 functions obtained through the minimization problem min{Mεα(u)  :  u=f+f}\min \{M^\alpha_\varepsilon (u)\;:\;\nabla\cdot u=f^+-f^-\}. We prove some uniform estimates on these pseudo-distances which allow us to establish a Γ\Gamma-convergence result for these energies with a divergence constraint.

Keywords

Cite

@article{arxiv.1503.03735,
  title  = {Uniform estimates for a Modica-Mortola type approximation of branched transportation},
  author = {Antonin Monteil},
  journal= {arXiv preprint arXiv:1503.03735},
  year   = {2015}
}

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30 pages