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Bisections of graphs under degree constraints

Jie Ma, Hehui Wu

TL;DR

The paper addresses the problem of finding bisections of general graphs under degree constraints by developing a unified two-stage framework that combines a random partition with a deterministic refinement. It proves two main universal results: every graph has a bisection in which each vertex $v$ has at least $\left(\frac{1}{4}-o(1)\right)d_G(v)$ neighbors in its own part and another where each vertex has at least $\left(\frac{1}{4}-o(1)\right)d_G(v)$ neighbors in the opposite part, which are asymptotically tight up to a factor of $1/2$. The authors then derive a function $f(k)=O(k)$ such that graphs with minimum degree at least $f(k)$ admit a bisection with every vertex having at least $k$ neighbors in its own part and a complementary bisection with at least $k$ neighbors in the opposite part, alongside stronger results ensuring most vertices meet these external/internal targets with minor relaxations. These findings extend Erdős–Thomassen–Kühn–Osthus results, provide a systematic density-based approach to partitioning under degree constraints, and open avenues for tightening constants and generalizing to multi-partitions and connectivity.

Abstract

In this paper, we investigate the problem of finding {\it bisections} (i.e., balanced bipartitions) in graphs. We prove the following two results for {\it all} graphs $G$: (1). $G$ has a bisection where each vertex $v$ has at least $(1/4 - o(1))d_G(v)$ neighbors in its own part; (2). $G$ also has a bisection where each vertex $v$ has at least $(1/4 - o(1))d_G(v)$ neighbors in the opposite part. These results are asymptotically optimal up to a factor of $1/2$, aligning with what is expected from random constructions, and provide the first systematic understanding of bisections in general graphs under degree constraints. As a consequence, we establish for the first time the existence of a function $f(k)$ such that for any $k\geq 1$, every graph with minimum degree at least $f(k)$ admits a bisection where every vertex has at least $k$ neighbors in its own part, as well as a bisection where every vertex has at least $k$ neighbors in the opposite part. Using a more general setting, we further show that for any $\varepsilon > 0$, there exist $c_\varepsilon, c'_\varepsilon > 0$ such that any graph $G$ with minimum degree at least $c_\varepsilon k$ (respectively, $c'_\varepsilon k$) admits a bisection satisfying: every vertex has at least $k$ neighbors in its own part (respectively, in the opposite part), and at least $(1 - \varepsilon)|V(G)|$ vertices have at least $k$ neighbors in the opposite part (respectively, in their own part). These results extend and strengthen classical graph partitioning theorems of Erdős, Thomassen, and Kühn-Osthus, while additionally satisfying the bisection requirement.

Bisections of graphs under degree constraints

TL;DR

The paper addresses the problem of finding bisections of general graphs under degree constraints by developing a unified two-stage framework that combines a random partition with a deterministic refinement. It proves two main universal results: every graph has a bisection in which each vertex has at least neighbors in its own part and another where each vertex has at least neighbors in the opposite part, which are asymptotically tight up to a factor of . The authors then derive a function such that graphs with minimum degree at least admit a bisection with every vertex having at least neighbors in its own part and a complementary bisection with at least neighbors in the opposite part, alongside stronger results ensuring most vertices meet these external/internal targets with minor relaxations. These findings extend Erdős–Thomassen–Kühn–Osthus results, provide a systematic density-based approach to partitioning under degree constraints, and open avenues for tightening constants and generalizing to multi-partitions and connectivity.

Abstract

In this paper, we investigate the problem of finding {\it bisections} (i.e., balanced bipartitions) in graphs. We prove the following two results for {\it all} graphs : (1). has a bisection where each vertex has at least neighbors in its own part; (2). also has a bisection where each vertex has at least neighbors in the opposite part. These results are asymptotically optimal up to a factor of , aligning with what is expected from random constructions, and provide the first systematic understanding of bisections in general graphs under degree constraints. As a consequence, we establish for the first time the existence of a function such that for any , every graph with minimum degree at least admits a bisection where every vertex has at least neighbors in its own part, as well as a bisection where every vertex has at least neighbors in the opposite part. Using a more general setting, we further show that for any , there exist such that any graph with minimum degree at least (respectively, ) admits a bisection satisfying: every vertex has at least neighbors in its own part (respectively, in the opposite part), and at least vertices have at least neighbors in the opposite part (respectively, in their own part). These results extend and strengthen classical graph partitioning theorems of Erdős, Thomassen, and Kühn-Osthus, while additionally satisfying the bisection requirement.

Paper Structure

This paper contains 15 sections, 21 theorems, 94 equations.

Key Result

Theorem 1

Every graph $G$ has a bisection such that every vertex $v$ has at least

Theorems & Definitions (30)

  • Theorem 1
  • Theorem 2
  • Corollary 3
  • Theorem 4
  • Corollary 5
  • Corollary 6
  • Theorem 7
  • Corollary 8
  • Corollary 9
  • Lemma 10: see AS
  • ...and 20 more