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Distinguishability and linear independence for $H$-chromatic symmetric functions

Shao Yuan Lin, Laura Pierson

Abstract

We study the $H$-chromatic symmetric functions $X_G^H$ (introduced in (arXiv:2011.06063) as a generalization of the chromatic symmetric function (CSF) $X_G$), which track homomorphisms from the graph $G$ to the graph $H$. We focus first on the case of self-chromatic symmetric functions (self-CSFs) $X_G^G$, making some progress toward a conjecture from (arXiv:2011.06063) that the self-CSF, like the normal CSF, is always different for different trees. In particular, we show that the self-CSF distinguishes trees from non-trees with just one exception, we check using Sage that it distinguishes all trees on up to 12 vertices, and we show that it determines the number of legs of a spider and the degree sequence of a caterpillar given its spine length. We also show that the self-CSF detects the number of connected components of a forest, again with just one exception. Then we prove some results about the power sum expansions for $H$-CSFs when $H$ is a complete bipartite graph, in particular proving that the conjecture from (arXiv:2011.06063) about $p$-monotonicity of $ω(X_G^H)$ for $H$ a star holds as long as $H$ is sufficiently large compared to $G$. We also show that the self-CSFs of complete multipartite graphs form a basis for the ring $Λ$ of symmetric functions, and we give some construction of bases for the vector space $Λ^n$ of degree $n$ symmetric functions using $H$-CSFs $X_G^H$ where $H$ is a fixed graph that is not a complete graph, answering a question from (arXiv:2011.06063) about whether such bases exist. However, we show that there generally do not exist such bases with $G$ fixed, even with loops, answering another question from (arXiv:2011.06063). We also define the $H$-chromatic polynomial as an analogue of the chromatic polynomial, and ask when it is the same for different graphs.

Distinguishability and linear independence for $H$-chromatic symmetric functions

Abstract

We study the -chromatic symmetric functions (introduced in (arXiv:2011.06063) as a generalization of the chromatic symmetric function (CSF) ), which track homomorphisms from the graph to the graph . We focus first on the case of self-chromatic symmetric functions (self-CSFs) , making some progress toward a conjecture from (arXiv:2011.06063) that the self-CSF, like the normal CSF, is always different for different trees. In particular, we show that the self-CSF distinguishes trees from non-trees with just one exception, we check using Sage that it distinguishes all trees on up to 12 vertices, and we show that it determines the number of legs of a spider and the degree sequence of a caterpillar given its spine length. We also show that the self-CSF detects the number of connected components of a forest, again with just one exception. Then we prove some results about the power sum expansions for -CSFs when is a complete bipartite graph, in particular proving that the conjecture from (arXiv:2011.06063) about -monotonicity of for a star holds as long as is sufficiently large compared to . We also show that the self-CSFs of complete multipartite graphs form a basis for the ring of symmetric functions, and we give some construction of bases for the vector space of degree symmetric functions using -CSFs where is a fixed graph that is not a complete graph, answering a question from (arXiv:2011.06063) about whether such bases exist. However, we show that there generally do not exist such bases with fixed, even with loops, answering another question from (arXiv:2011.06063). We also define the -chromatic polynomial as an analogue of the chromatic polynomial, and ask when it is the same for different graphs.

Paper Structure

This paper contains 22 sections, 46 theorems, 105 equations.

Key Result

Proposition 2.1.1

Let $G(n,p)$ denote a random graph with $n$ vertices, each pair of which forms an edge with probability $p$. Then for every $p\in(n^{-1/3}\log^2n,1-n^{-1/3}\log^2n)$, $|\textnormal{End}(G)|=1$ asymptotically (as $n\rightarrow\infty$) almost surely for all $G\in G(n,p)$.

Theorems & Definitions (99)

  • Proposition 2.1.1
  • proof
  • Corollary 2.1.2
  • Example 2.1.3
  • Proposition 2.2.1
  • proof
  • Proposition 2.2.2
  • proof
  • Proposition 2.3.1
  • proof
  • ...and 89 more