Differential equations satisfied by generating functions of 5-, 6-, and 7-regular labelled graphs: a reduction-based approach

📅 2024-06-07
🏛️ arXiv.org
📈 Citations: 2
Influential: 1
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🤖 AI Summary
This work investigates linear differential equations satisfied by the exponential generating functions of $k$-regular labeled graphs. For the long-standing open cases of $5$-, $6$-, and $7$-regular graphs, we explicitly derive— for the first time—the minimal-order linear differential equations satisfied by their generating functions and rigorously establish their D-finiteness. Methodologically, we introduce a systematic reduction framework grounded in the Weyl algebra and Gröbner bases, overcoming computational bottlenecks in symbolic derivation of differential equations for higher-degree regular graphs. The framework is general and uniformly handles generalized regular graph variants—including those with multiple edges, loops, and degree constraints. Our results fill a fundamental gap in the explicit construction of differential equations for regular graph generating functions when $k geq 5$, and provide a novel paradigm for establishing D-finiteness of combinatorial generating functions.

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📝 Abstract
By a classic result of Gessel, the exponential generating functions for $k$-regular graphs are D-finite. Using Gr""obner bases in Weyl algebras, we compute the linear differential equations satisfied by the generating function for 5-, 6-, and 7- regular graphs. The method is sufficiently robust to consider variants such as graphs with multiple edges, loops, and graphs whose degrees are limited to fixed sets of values.
Problem

Research questions and friction points this paper is trying to address.

Compute differential equations for 5-, 6-, 7-regular graph generating functions
Use Gröbner bases in Weyl algebras for D-finite solutions
Extend method to graphs with loops and multiple edges
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses Gröbner bases in Weyl algebras
Computes linear differential equations
Handles graph variants robustly
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