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Independence Polynomials of graphs and degree of $h$-polynomials of edge ideals

Ton That Quoc Tan

TL;DR

This work links the degree of the $h$-polynomial of a graph edge ideal to the independence polynomial. By expressing the Hilbert series in terms of $I(G,t)$ and its derivatives at $-1$, it gives a sharp criterion: $\deg h_{R/I(G)}(t)=\alpha(G)$ if and only if $I(G,-1)\neq 0$, with a precise reduction when $I(G,-1)=0$. The authors derive explicit, combinatorial formulas for the degree in several graph families (paths, cycles, bipartite graphs, Cameron–Walker graphs, and antiregular graphs) and present a general reduction framework that clarifies when the maximum degree is attained. The results unify and simplify known formulas, offer elementary proofs for certain classes, and provide practical criteria for computing $\deg h_{R/I(G)}(t)$ from graph structure.

Abstract

Let $G = (V, E)$ be a finite simple graph. In this paper, we characterize the degree of the $h$-polynomial of the edge ideal of $G$ in terms of the independence number of $G$. The key tools are the value of the independence polynomial of $G$ at $-1$ and its derivative. Using this approach, we obtain, in particular, combinatorial formulas for the degree of the $h$-polynomial of paths, cycles, bipartite graphs, Cameron-Walker graphs and antiregular graphs.

Independence Polynomials of graphs and degree of $h$-polynomials of edge ideals

TL;DR

This work links the degree of the -polynomial of a graph edge ideal to the independence polynomial. By expressing the Hilbert series in terms of and its derivatives at , it gives a sharp criterion: if and only if , with a precise reduction when . The authors derive explicit, combinatorial formulas for the degree in several graph families (paths, cycles, bipartite graphs, Cameron–Walker graphs, and antiregular graphs) and present a general reduction framework that clarifies when the maximum degree is attained. The results unify and simplify known formulas, offer elementary proofs for certain classes, and provide practical criteria for computing from graph structure.

Abstract

Let be a finite simple graph. In this paper, we characterize the degree of the -polynomial of the edge ideal of in terms of the independence number of . The key tools are the value of the independence polynomial of at and its derivative. Using this approach, we obtain, in particular, combinatorial formulas for the degree of the -polynomial of paths, cycles, bipartite graphs, Cameron-Walker graphs and antiregular graphs.
Paper Structure (9 sections, 31 theorems, 130 equations)

This paper contains 9 sections, 31 theorems, 130 equations.

Key Result

Theorem 1

The following statements are true: (i) Let $P_n$ be the path on $n$ vertices for $n \geq 1$. Then (ii) Let $C_n$ be the cycle on $n$ vertices for $n \geq 3$. Then (iii) Let $G$ be a connected bipartite graph with partition $(U,V)$. Then if and only if each connected component obtained from the reduction process in Setup 1 is either (iv) Let $G$ be a Cameron-Walker graph. (v) Let $A_n$ be the

Theorems & Definitions (61)

  • Theorem 1
  • Lemma 1.1: Hoede, Theorem 2.3
  • Lemma 1.2: Hoede, Corollary 3.8 and Theorem 3.9
  • Lemma 1.3
  • Remark 1.4
  • Lemma 2.1
  • proof
  • Theorem 2.2
  • proof
  • Lemma 3.1
  • ...and 51 more