Determinants of Steiner Distance Hypermatrices
Joshua Cooper, Zhibin Du

TL;DR
This paper extends the study of distance hypermatrices of trees to Steiner distance hypermatrices, revealing their hyperdeterminants' structure, generalizing classical results, and confirming they depend only on the parameters $k$ and $n$.
Contribution
It introduces the hyperdeterminants of Steiner distance hypermatrices, generalizes diagonalization results, and confirms their dependence solely on $k$ and $n$, resolving a conjecture.
Findings
Hyperdeterminants can be nearly diagonalized as $k$-forms.
Provides a tensor version of 'conditional negative definiteness'.
Confirms hyperdeterminants depend only on $k$ and $n$.
Abstract
Generalizing work from the 1970s on the determinants of distance hypermatrices of trees, we consider the hyperdeterminants of order- Steiner distance hypermatrices of trees on vertices. We show that they can be nearly diagonalized as -forms, generalizing a result of Graham-Lov\'{a}sz, implying a tensor version of ``conditional negative definiteness'', providing new proofs of previous results of the authors and Tauscheck, and resolving the conjecture that these hyperdeterminants depend only on and -- as Graham-Pollak showed for . We conclude with some open questions.
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Taxonomy
TopicsGraph theory and applications · Advanced Graph Theory Research · Mathematical Dynamics and Fractals
