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Spectral Radius of Graphs with Size Constraints: Resolving a Conjecture of Guiduli

Rui Li, Anyao Wang, Mingqing Zhai

TL;DR

This work resolves Guiduli's conjecture by proving that every $n$-vertex graph $G$ with the Hereditarily Bounded Property $P_{t,r}$ satisfies $\rho(G) \le c(s,t) + \sqrt{\lfloor t\rfloor n}$, with $s = \binom{\lfloor t\rfloor+1}{2} + r$, for $t>0$ and $r \ge -\binom{\lfloor t+1 \rfloor}{2}$. A stability theorem shows that large spectral radius compels a tight $\lfloor t\rfloor$-clique-like core with high degree, enabling a precise structural reduction to join-graphs $K_{\lfloor t\rfloor} \nabla F$. The extremal graphs are completely characterized: they are joins $K_{\lfloor t\rfloor} \nabla F$ where $F$ is either $K_3 \cup (n-\lfloor t\rfloor-3)K_1$ or a carefully constrained forest of stars, with a detailed parameterization of the star composition. The analysis introduces a potential function $\eta(F)$ and uses edge-shifting and walk-based comparisons to obtain sharp bounds, providing a robust framework for spectral extremal problems under hereditary edge-density constraints.

Abstract

We resolve a problem posed by Guiduli (1996) on the spectral radius of graphs satisfying the Hereditarily Bounded Property $P_{t,r}$, which requires that every subgraph $H$ with $|V(H)| \geq t$ satisfies $|E(H)| \leq t|V(H)| + r$. For an $n$-vertex graph $G$ satisfying $P_{t,r}$, where $t > 0$ and $r \geq -\binom{\lfloor t+1 \rfloor}{2}$, we prove that the spectral radius $ρ(G)$ is bounded above by $ρ(G) \leq c(s,t) + \sqrt{\lfloor t \rfloor n}$, where $s = \binom{\lfloor t \rfloor + 1}{2} + r$, thus affirmatively answering Guiduli's conjecture. Furthermore, we present a complete characterization of the extremal graphs that achieve this bound. These graphs are constructed as the join graph $K_{\lfloor t \rfloor} \nabla F$, where $F$ is either $K_3 \cup (n - \lfloor t \rfloor - 3)K_1$ or a forest consisting solely of star structures. The specific structure of such forests is meticulously characterized. Central to our analysis is the introduction of a novel potential function $η(F) = e(F) + (\lfloor t \rfloor - t)|V(F)|$, which quantifies the structural "positivity" of subgraphs. By combining edge-shifting operations with spectral radius maximization principles, we establish sharp bounds on $η^+(G)$, the cumulative positivity of $G$. Our results contribute to the understanding of spectral extremal problems under edge-density constraints and provide a framework for analyzing similar hereditary properties.

Spectral Radius of Graphs with Size Constraints: Resolving a Conjecture of Guiduli

TL;DR

This work resolves Guiduli's conjecture by proving that every -vertex graph with the Hereditarily Bounded Property satisfies , with , for and . A stability theorem shows that large spectral radius compels a tight -clique-like core with high degree, enabling a precise structural reduction to join-graphs . The extremal graphs are completely characterized: they are joins where is either or a carefully constrained forest of stars, with a detailed parameterization of the star composition. The analysis introduces a potential function and uses edge-shifting and walk-based comparisons to obtain sharp bounds, providing a robust framework for spectral extremal problems under hereditary edge-density constraints.

Abstract

We resolve a problem posed by Guiduli (1996) on the spectral radius of graphs satisfying the Hereditarily Bounded Property , which requires that every subgraph with satisfies . For an -vertex graph satisfying , where and , we prove that the spectral radius is bounded above by , where , thus affirmatively answering Guiduli's conjecture. Furthermore, we present a complete characterization of the extremal graphs that achieve this bound. These graphs are constructed as the join graph , where is either or a forest consisting solely of star structures. The specific structure of such forests is meticulously characterized. Central to our analysis is the introduction of a novel potential function , which quantifies the structural "positivity" of subgraphs. By combining edge-shifting operations with spectral radius maximization principles, we establish sharp bounds on , the cumulative positivity of . Our results contribute to the understanding of spectral extremal problems under edge-density constraints and provide a framework for analyzing similar hereditary properties.

Paper Structure

This paper contains 5 sections, 14 theorems, 74 equations.

Key Result

Theorem 1.1

Let $t\in \mathbf{N}$ and $r\geq -\binom{ t+1 }{2}$. If $G$ is a graph on $n$ vertices with the property $P_{t,r}$, then $\rho(G)\leq (t-1)/2+\sqrt{ t(t+1)+2r}+\sqrt{ tn}$.

Theorems & Definitions (47)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Theorem 2.1
  • Claim 2.1
  • proof
  • Claim 2.2
  • proof
  • Claim 2.3
  • proof
  • ...and 37 more