Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests

03/22/2022
by   Nicolas Boutry, et al.
0

In this paper, we prove that discrete Morse functions are equivalent to simplicial stacks under reasonable constraints. We also show that, as in Discrete Morse Theory, we can see the GVF of a simplicial stack (seen as a discrete Morse function) as the only relevant information we should consider. Last, but not least, we prove that the Minimum Spanning Forest on the dual graph of a simplicial stack (or a discrete Morse function) is equal to the GVF of the initial function. In other words, the GVF of a discrete Morse function is related to a classic combinatorial minimization problem. This paper is the sequel of a sequence of papers showing that strong relations exist between different domains: Topology, Discrete Morse Theory, Topological Data Analysis and Mathematical Morphology.

READ FULL TEXT

page 8

page 11

research
01/10/2023

Discrete Morse Functions and Watersheds

Any watershed, when defined on a stack on a normal pseudomanifold of dim...
research
01/09/2018

Discrete Stratified Morse Theory: A User's Guide

Inspired by the works of Forman on discrete Morse theory, which is a com...
research
05/25/2022

Some equivalence relation between persistent homology and morphological dynamics

In Mathematical Morphology (MM), connected filters based on dynamics are...
research
05/27/2019

Spanning eulerian subdigraphs in semicomplete digraphs

A digraph is eulerian if it is connected and every vertex has its in-deg...
research
01/30/2018

Greedy Morse matchings and discrete smoothness

Discrete Morse theory emerged as an essential tool for computational geo...
research
08/31/2012

Combinatorial Gradient Fields for 2D Images with Empirically Convergent Separatrices

This paper proposes an efficient probabilistic method that computes comb...
research
04/08/2023

Rayleigh quotients of Dillon's functions

The Walsh–Hadamard spectrum of a bent function uniquely determines a dua...

Please sign up or login with your details

Forgot password? Click here to reset