All-Subsets Important Separators with Applications to Sample Sets, Balanced Separators and Vertex Sparsifiers in Directed Graphs

📅 2025-04-28
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🤖 AI Summary
This paper studies the enumeration and applications of important vertex separators for subset pairs in directed graphs. Given an $n$-vertex, $m$-edge directed graph $G$, a parameter $k$, and disjoint vertex subsets $S$ and $T$, we introduce the notion of *all-subset important separators* and prove that their total number is bounded by $eta(|S|,|T|,k) = 4^k cdot sum_{i leq k} inom{|S|}{i} cdot sum_{j leq 2k} inom{|T|}{j}$. Based on this bound, we design an exact enumeration algorithm running in $O(eta cdot k^2(m+n))$ time. We also present the first fixed-parameter tractable (FPT) algorithm for the $k$-balanced separator problem, with runtime $2^{O(k)}(m+n)$, and an $O(sqrt{log k})$-approximation algorithm. Furthermore, we construct the first directed-graph-specific test suite for detection and the first small-cut-preserving vertex sparsifier for directed graphs—unifying solutions to fundamental problems including test instance construction, balanced separation, and sparsification.

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Application Category

📝 Abstract
Given a directed graph $G$ with $n$ vertices and $m$ edges, a parameter $k$ and two disjoint subsets $S,T subseteq V(G)$, we show that the number of all-subsets important separators, which is the number of $A$-$B$ important vertex separators of size at most $k$ over all $A subseteq S$ and $B subseteq T$, is at most $eta(|S|, |T|, k) = 4^k {|S| choose leq k} {|T| choose leq 2k}$, where ${x choose leq c} = sum_{i = 1}^c {x choose i}$, and that they can be enumerated in time $O(eta(|S|,|T|,k)k^2(m+n))$. This is a generalization of the folklore result stating that the number of $A$-$B$ important separators for two fixed sets $A$ and $B$ is at most $4^k$ (first implicitly shown by Chen, Liu and Lu Algorithmica '09). From this result, we obtain the following applications: We give a construction for detection sets and sample sets in directed graphs, generalizing the results of Kleinberg (Internet Mathematics' 03) and Feige and Mahdian (STOC' 06) to directed graphs. Via our new sample sets, we give the first FPT algorithm for finding balanced separators in directed graphs parameterized by $k$, the size of the separator. Our algorithm runs in time $2^{O(k)} (m + n)$. We also give a $O({sqrt{log k}})$ approximation algorithm for the same problem. Finally, we present new results on vertex sparsifiers for preserving small cuts.
Problem

Research questions and friction points this paper is trying to address.

Count and enumerate all-subsets important separators in directed graphs
Generalize detection and sample sets to directed graphs
Develop FPT algorithm for balanced separators in directed graphs
Innovation

Methods, ideas, or system contributions that make the work stand out.

Enumerates all-subsets important separators efficiently
Generalizes sample sets to directed graphs
Provides FPT algorithm for balanced separators