English

A local estimate for vectorial total variation minimization in one dimension

Analysis of PDEs 2018-08-28 v2

Abstract

Let u\boldsymbol u be the minimizer of vectorial total variation (VTVVTV) with L2L^2 data-fidelity term on an interval II. We show that the total variation of u\boldsymbol u over any subinterval of II is bounded by that of the datum over the same subinterval. We deduce analogous statement for the vectorial total variation flow on II.

Cite

@article{arxiv.1806.02456,
  title  = {A local estimate for vectorial total variation minimization in one dimension},
  author = {Lorenzo Giacomelli and Michał Łasica},
  journal= {arXiv preprint arXiv:1806.02456},
  year   = {2018}
}

Comments

7 pages

R2 v1 2026-06-23T02:21:53.388Z