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Main Authors: Chandrasekaran, Karthekeyan, Chekuri, Chandra, Kulkarni, Shubhang
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.08828
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author Chandrasekaran, Karthekeyan
Chekuri, Chandra
Kulkarni, Shubhang
author_facet Chandrasekaran, Karthekeyan
Chekuri, Chandra
Kulkarni, Shubhang
contents We consider deletion problems in graphs and supermodular functions where the goal is to reduce density. In Graph Density Deletion (GraphDD), we are given a graph $G=(V,E)$ with non-negative vertex costs and a non-negative parameter $ρ\ge 0$ and the goal is to remove a minimum cost subset $S$ of vertices such that the densest subgraph in $G-S$ has density at most $ρ$. This problem has an underlying matroidal structure and generalizes several classical problems such as vertex cover, feedback vertex set, and pseudoforest deletion set for appropriately chosen $ρ\le 1$ and all of these classical problems admit a $2$-approximation. In sharp contrast, we prove that for every fixed integer $ρ> 1$, GraphDD is hard to approximate to within a logarithmic factor via a reduction from Set Cover, thus showing a phase transition phenomenon. Next, we investigate a generalization of GraphDD to monotone supermodular functions, termed Supermodular Density Deletion (SupmodDD). In SupmodDD, we are given a monotone supermodular function $f:2^V \rightarrow \mathbb{Z}_{\ge 0}$ via an evaluation oracle with element costs and a non-negative integer $ρ\ge 0$ and the goal is remove a minimum cost subset $S \subseteq V$ such that the densest subset according to $f$ in $V-S$ has density at most $ρ$. We show that SupmodDD is approximation equivalent to the well-known Submodular Cover problem; this implies a tight logarithmic approximation and hardness for SupmodDD; it also implies a logarithmic approximation for GraphDD, thus matching our inapproximability bound. Motivated by these hardness results, we design bicriteria approximation algorithms for both GraphDD and SupmodDD.
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id arxiv_https___arxiv_org_abs_2503_08828
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Deleting Vertices to Reduce Density in Graphs and Supermodular Functions
Chandrasekaran, Karthekeyan
Chekuri, Chandra
Kulkarni, Shubhang
Data Structures and Algorithms
We consider deletion problems in graphs and supermodular functions where the goal is to reduce density. In Graph Density Deletion (GraphDD), we are given a graph $G=(V,E)$ with non-negative vertex costs and a non-negative parameter $ρ\ge 0$ and the goal is to remove a minimum cost subset $S$ of vertices such that the densest subgraph in $G-S$ has density at most $ρ$. This problem has an underlying matroidal structure and generalizes several classical problems such as vertex cover, feedback vertex set, and pseudoforest deletion set for appropriately chosen $ρ\le 1$ and all of these classical problems admit a $2$-approximation. In sharp contrast, we prove that for every fixed integer $ρ> 1$, GraphDD is hard to approximate to within a logarithmic factor via a reduction from Set Cover, thus showing a phase transition phenomenon. Next, we investigate a generalization of GraphDD to monotone supermodular functions, termed Supermodular Density Deletion (SupmodDD). In SupmodDD, we are given a monotone supermodular function $f:2^V \rightarrow \mathbb{Z}_{\ge 0}$ via an evaluation oracle with element costs and a non-negative integer $ρ\ge 0$ and the goal is remove a minimum cost subset $S \subseteq V$ such that the densest subset according to $f$ in $V-S$ has density at most $ρ$. We show that SupmodDD is approximation equivalent to the well-known Submodular Cover problem; this implies a tight logarithmic approximation and hardness for SupmodDD; it also implies a logarithmic approximation for GraphDD, thus matching our inapproximability bound. Motivated by these hardness results, we design bicriteria approximation algorithms for both GraphDD and SupmodDD.
title On Deleting Vertices to Reduce Density in Graphs and Supermodular Functions
topic Data Structures and Algorithms
url https://arxiv.org/abs/2503.08828