Distinguishability and linear independence for $H$-chromatic symmetric functions
Shao Yuan Lin, Laura Pierson

TL;DR
This paper investigates the properties of $H$-chromatic symmetric functions, especially self-CSFs, demonstrating their ability to distinguish certain graphs, exploring their algebraic structure, and addressing conjectures about their monotonicity and basis formation.
Contribution
It advances understanding of $H$-chromatic symmetric functions by proving their distinguishing power, basis properties, and monotonicity conjectures, and introduces the $H$-chromatic polynomial.
Findings
Self-CSFs distinguish trees from non-trees with one exception.
Self-CSFs determine the number of legs of a spider and degree sequence of a caterpillar.
Complete multipartite graphs' self-CSFs form a basis for the ring of 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…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Limits and Structures in Graph Theory · Topological and Geometric Data Analysis
