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$(BV,L^p)$-decomposition, $p=1,2$, of Functions in Metric Random Walk Spaces

J. M. Mazon, M. Solera, J. Toledo

Abstract

In this paper we study the $(BV,L^p)$-decomposition, $p=1,2$, of functions in metric random walk spaces, a general workspace that includes weighted graphs and nonlocal models used in image processing. We obtain the Euler-Lagrange equations of the corresponding variational problems and their gradient flows. In the case $p=1$ we also study the associated geometric problem and the thresholding parameters.

$(BV,L^p)$-decomposition, $p=1,2$, of Functions in Metric Random Walk Spaces

Abstract

In this paper we study the -decomposition, , of functions in metric random walk spaces, a general workspace that includes weighted graphs and nonlocal models used in image processing. We obtain the Euler-Lagrange equations of the corresponding variational problems and their gradient flows. In the case we also study the associated geometric problem and the thresholding parameters.

Paper Structure

This paper contains 12 sections, 45 theorems, 331 equations, 1 figure.

Key Result

Proposition \oldthetheorem

1. Let $A,\ B \subset X$ be $\nu$-measurable sets with finite $m$-perimeter such that $\nu(A \cap B) = 0$. Then, 2. Let $A,\ B,\ C$ be $\nu$-measurable sets in $X$ with pairwise $\nu$-null intersections. Then

Figures (1)

  • Figure 1: The point $(0,0)$ is labelled in the graphs, and the adjacent points are represented by the dots.

Theorems & Definitions (96)

  • Example \oldthetheorem
  • Example \oldthetheorem
  • Proposition \oldthetheorem: MST1
  • Proposition \oldthetheorem: Submodularity
  • proof
  • Example \oldthetheorem
  • Lemma \oldthetheorem: MST1
  • Theorem \oldthetheorem: Coarea formula, MST1
  • Theorem \oldthetheorem: MST1
  • Remark \oldthetheorem
  • ...and 86 more