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Multi-Dimensional Stable Roommates in 2-Dimensional Euclidean Space

We investigate the Euclidean $d$-Dimensional Stable Roommates problem, which asks whether a given set~$V$ of $d \cdot n$ points from the 2-dimensional Euclidean space can be partitioned into $n$ disjoint (unordered) subsets $Π=\{V_1,\ldots,V_{n}\}$ with $|V_i|=d$ for each $V_i\in Π$ such that $Π$ is stable. Here, stability means that no point subset $W\subseteq V$ is blocking $Π$ and $W$ is said to be blocking $Π$ if $|W|= d$ such that $\sum_{w&#39;\in W}δ(w,w&#39;) < \sum_{v\in Π(w)}δ(w,v)$ holds for each point $w\in W$, where $Π(w)$ denotes the subset $V_i\in Π$ which contains $w$ and $δ(a,b)$ denotes the Euclidean distance between points $a$ and $b$. Complementing the existing known polynomial-time result for $d=2$, we show that such polynomial-time algorithms cannot exist for any fixed number $d \ge 3$ unless P=NP. Our result for $d=3$ answers a decade-long open question in the theory of Stable Matching and Hedonic Games [17, 1, 9, 25, 20].