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Counting subgraphs of coloring graphs using shadow graphs

Simon MacLean

TL;DR

This work introduces shadow graphs as a constructive tool to compute the subgraph counting polynomials $\pi_G^{(H)}(k)$, which count induced copies of $H$ inside the $k$-coloring graph $\mathcal{C}_k(G)$. By systematically replacing selected vertices with shadow structures and aggregating over state maps, the authors express $\pi_G^{(H)}(k)$ as combinations of chromatic polynomials of shadow graphs, enabling explicit formulas for diverse $H$, including $Q_d$ on trees. They derive closed forms for hypercube polynomials on trees, reveal connections to the generalized degree sequence and the chromatic symmetric function, and show that the generalized degree sequence is not a complete invariant. Finally, they provide a counterexample to a conjecture by AKLR25 showing that equal chromatic-pair polynomials do not guarantee equal chromatic polynomials, illustrating the method’s computational power and suggesting further links to graph invariants like the CSF.

Abstract

Given a graph $G$, the $k$-coloring graph $\mathcal{C}_k(G)$ is constructed by selecting proper $k$-colorings of $G$ as vertices, with an edge between two colorings if they differ in the color of exactly one vertex. The number of vertices in $\mathcal{C}_k(G)$ is the famous chromatic polynomial of $G$. Asgarli, Krehbiel, Levinson and Russell showed that for any subgraph $H$, the number of induced copies of $H$ in $\mathcal{C}_k(G)$ is a polynomial function in $k$. Hogan, Scott, Tamitegama, and Tan found a shorter proof for polynomiality of these chromatic $H$-polynomials. In this paper, we provide a method of constructing these polynomials explicitly in terms of chromatic polynomials of shadow graphs. We illustrate the practicality of our formulas by computing an explicit formula for $H$-polynomial for trees when $H=Q_d$ is an arbitrary hypercube, a task which does not seem approachable from previous methods. The coefficients of the resulting polynomials feature generalized degree sequences introduced by Crew. In the special case when $H=P_2$, the corresponding polynomial is dubbed the chromatic pairs polynomial. We present a pair of graphs $G_1$ and $G_2$ sharing the same chromatic pairs polynomial but different chromatic polynomials, disproving a conjecture raised by Asgarli, Krehbiel, Levinson and Russell.

Counting subgraphs of coloring graphs using shadow graphs

TL;DR

This work introduces shadow graphs as a constructive tool to compute the subgraph counting polynomials , which count induced copies of inside the -coloring graph . By systematically replacing selected vertices with shadow structures and aggregating over state maps, the authors express as combinations of chromatic polynomials of shadow graphs, enabling explicit formulas for diverse , including on trees. They derive closed forms for hypercube polynomials on trees, reveal connections to the generalized degree sequence and the chromatic symmetric function, and show that the generalized degree sequence is not a complete invariant. Finally, they provide a counterexample to a conjecture by AKLR25 showing that equal chromatic-pair polynomials do not guarantee equal chromatic polynomials, illustrating the method’s computational power and suggesting further links to graph invariants like the CSF.

Abstract

Given a graph , the -coloring graph is constructed by selecting proper -colorings of as vertices, with an edge between two colorings if they differ in the color of exactly one vertex. The number of vertices in is the famous chromatic polynomial of . Asgarli, Krehbiel, Levinson and Russell showed that for any subgraph , the number of induced copies of in is a polynomial function in . Hogan, Scott, Tamitegama, and Tan found a shorter proof for polynomiality of these chromatic -polynomials. In this paper, we provide a method of constructing these polynomials explicitly in terms of chromatic polynomials of shadow graphs. We illustrate the practicality of our formulas by computing an explicit formula for -polynomial for trees when is an arbitrary hypercube, a task which does not seem approachable from previous methods. The coefficients of the resulting polynomials feature generalized degree sequences introduced by Crew. In the special case when , the corresponding polynomial is dubbed the chromatic pairs polynomial. We present a pair of graphs and sharing the same chromatic pairs polynomial but different chromatic polynomials, disproving a conjecture raised by Asgarli, Krehbiel, Levinson and Russell.
Paper Structure (20 sections, 9 theorems, 29 equations, 13 figures)

This paper contains 20 sections, 9 theorems, 29 equations, 13 figures.

Key Result

Theorem 1.1

Given a fixed connected graph $H$, there exists an algorithm (whose complexity depends on $H$) which applied to any base graph $G$ produces a sequence of graphs $G_1, G_2, \ldots, G_r$, derived from $G$ such that $\pi_G^{(H)}(k)$ is a rational linear combination of $\pi_{G_1}(k), \pi_{G_2}(k), \ldot

Figures (13)

  • Figure 1: Graphs $G_1$ and $G_2$ used as a counterexample to Conjecture 5.2.
  • Figure :
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  • ...and 8 more figures

Theorems & Definitions (18)

  • Theorem 1.1
  • Definition 2.1
  • Lemma 2.2
  • proof
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • proof
  • proof
  • ...and 8 more