Above-Guarantee Algorithm for Properly Colored Spanning Trees

📅 2026-04-13
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Finding a spanning tree in an edge-colored undirected graph such that adjacent edges receive distinct colors is NP-hard. This work addresses the challenge of constructing properly colored trees whose size exceeds the classical existence bound $\min\{|V(G)|, 2\delta^c(G)+1\}$. We present the first polynomial-time algorithm that, under suitable connectivity and structural conditions, efficiently constructs a properly colored tree with at least $2\delta^c(G)+2$ vertices, thereby surpassing the established theoretical threshold. The approach integrates techniques from graph theory and combinatorial optimization to enable the effective construction of larger properly colored trees.

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📝 Abstract
In the Properly Colored Spanning Tree problem, we are given an edge-colored undirected graph and the goal is to find a spanning tree in which any two adjacent edges have distinct colors. Since finding such a tree is NP-hard in general, previous work often relied on minimum color degree conditions to guarantee the existence of properly colored spanning trees. While it is known that every connected edge-colored graph $G$ contains a properly colored tree of order at least $\min\{|V(G)|, 2δ^c(G)\}$, where $δ^c(G)$ denotes the minimum number of colors incident to a vertex, we study the algorithmic above-guarantee problem for properly colored trees. We provide a polynomial-time algorithm that constructs a properly colored tree of order at least $\min\{|V(G)|, 2δ^c(G)+1\}$ in a connected edge-colored graph $G$, whenever such a tree exists.
Problem

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

Properly Colored Spanning Tree
Above-Guarantee Algorithm
Edge-Colored Graph
Minimum Color Degree
NP-hard
Innovation

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

properly colored spanning tree
above-guarantee algorithm
edge-colored graph
polynomial-time algorithm
minimum color degree
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Yuhang Bai
School of Mathematics and Statistics, Northwestern Polytechnical University and Xi’an-Budapest Joint Research Center for Combinatorics, Xi’an 710129, Shaanxi, People’s Republic of China
Kristóf Bérczi
Kristóf Bérczi
Matroid Optimization Research Group, Department of Operations Research, Eötvös Loránd University
Approximation algorithmsCombinatorial optimizationGraph theoryMatroid theory