A combinatorial analysis of Severi degrees
Fu Liu

TL;DR
This paper proves the linearity of a multivariate function related to long-edge graphs, providing new combinatorial proofs and applications to Severi degrees and G"ottsche-Yau-Zaslow formulas.
Contribution
It introduces a new combinatorial approach to prove the linearity of a multivariate function associated with long-edge graphs, confirming a conjecture and deriving polynomiality results.
Findings
The multivariate function associated with long-edge graphs is always linear.
Recovered quadraticity of $Q^{d, extdelta}$ and bounds for polynomiality of $N^{d, extdelta}$.
Provided combinatorial formulas for the power series in G"ottsche-Yau-Zaslow formula.
Abstract
Based on results by Brugall\'e and Mikhalkin, Fomin and Mikhalkin give formulas for computing classical Severi degrees using long-edge graphs. In 2012, Block, Colley and Kennedy considered the logarithmic version of a special function associated to long-edge graphs appeared in Fomin-Mikhalkin's formula, and conjectured it to be linear. They have since proved their conjecture. At the same time, motivated by their conjecture, we consider a special multivariate function associated to long-edge graphs that generalizes their function. The main result of this paper is that the multivariate function we define is always linear. A special case of our result gives an independent proof of Block-Colley-Kennedy's conjecture. The first application of our linearity result is that by applying it to classical Severi degrees, we recover quadraticity of and a bound…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Polynomial and algebraic computation · Geometric and Algebraic Topology
