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The high order spectral radius of graphs without long cycles or paths

Yuntian Wang, Lizhu Sun, Changjiang Bu

TL;DR

The paper develops a high order spectral framework for graphs by introducing the $t$-clique spectral radius $\rho_t(G)$, defined via the $t$-clique tensor $A_t(G)$, and extends Erdős-Gallai-type extremal results to this setting. Using a Perron-vector analysis and rotation operations $G_{u\to v}$, the authors show that extremal graphs for forbidding long cycles ($C_{\ge k}$-free) or long paths ($P_k$-free) must have a join-structure, specifically $S_{n,(k-1)/2}$ when $k$ is odd and $S_{n,(k-2)/2}^{+}$ when $k$ is even, for sufficiently large $n$. They also establish uniqueness within the relevant extremal families for a broad range of $t$ (namely $2\le t \le \lfloor (k+1)/2\rfloor$ in the cycle case) and show that the same conclusions hold in the path-free setting, with proofs mirroring each other. Overall, the work advances spectral extremal graph theory by providing high order (clique) analogues of Erdős-Gallai theorems and characterizing the extremal structures that maximize $\rho_t(G)$ under long-cycle and long-path forbiddance.

Abstract

In 1959, Erdős and Gallai established two classic theorems, which determine the maximum number of edges in an $n$-vertex graph with no cycles of length at least $k$, and in an $n$-vertex graph with no paths on $k$ vertices, respectively. Subsequently, generalized and spectral versions of the Erdős-Gallai theorems have been investigated. A concept of a high order spectral radius for graphs was introduced in 2023, defined as the spectral radius of a tensor and termed the $t$-clique spectral radius $ρ_t(G)$. In this paper, we establish a high order spectral version of Erdős-Gallai theorems by employing the $t$-clique spectral radius, i.e., we determine the extremal graphs that attain the maximum $t$-clique spectral radius in the $n$-vertex graphs with no cycles of length at least $k$ and in the $n$-vertex graphs with no paths on $k$ vertices, respectively.

The high order spectral radius of graphs without long cycles or paths

TL;DR

The paper develops a high order spectral framework for graphs by introducing the -clique spectral radius , defined via the -clique tensor , and extends Erdős-Gallai-type extremal results to this setting. Using a Perron-vector analysis and rotation operations , the authors show that extremal graphs for forbidding long cycles (-free) or long paths (-free) must have a join-structure, specifically when is odd and when is even, for sufficiently large . They also establish uniqueness within the relevant extremal families for a broad range of (namely in the cycle case) and show that the same conclusions hold in the path-free setting, with proofs mirroring each other. Overall, the work advances spectral extremal graph theory by providing high order (clique) analogues of Erdős-Gallai theorems and characterizing the extremal structures that maximize under long-cycle and long-path forbiddance.

Abstract

In 1959, Erdős and Gallai established two classic theorems, which determine the maximum number of edges in an -vertex graph with no cycles of length at least , and in an -vertex graph with no paths on vertices, respectively. Subsequently, generalized and spectral versions of the Erdős-Gallai theorems have been investigated. A concept of a high order spectral radius for graphs was introduced in 2023, defined as the spectral radius of a tensor and termed the -clique spectral radius . In this paper, we establish a high order spectral version of Erdős-Gallai theorems by employing the -clique spectral radius, i.e., we determine the extremal graphs that attain the maximum -clique spectral radius in the -vertex graphs with no cycles of length at least and in the -vertex graphs with no paths on vertices, respectively.

Paper Structure

This paper contains 4 sections, 24 theorems, 41 equations.

Key Result

Theorem 1.1

Erdos1959 Let $k \geq 3$. For an $n$-vertex graph $G$ that is $C_{\geq k}$-free, the number of edges satisfies

Theorems & Definitions (40)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Corollary 1.4
  • Theorem 1.5
  • Corollary 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Definition 1
  • Definition 2
  • ...and 30 more