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The Varchenko Determinant for Apartments

机译:Varchenko公寓的决定因素

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摘要

Varchenko introduced a distance function on chambers of hyperplane arrangements that he called quantum bilinear form. That gave rise to a determinant indexed by chambers whose entry in position (C, D) is the distance between C and D: that is the Varchenko determinant. He showed that that determinant has a nice factorization. Later, Aguiar and Mahajan defined a generalization of the quantum bilinear form, and computed the Varchenko determinant given rise by that generalization for central hyperplane arrangements and their cones. This article takes inspiration from their proof strategy to compute the Varchenko determinant given rise by their distance function for apartment of hyperplane arrangements. Those latter are in fact realizable conditional oriented matroids.
机译:varchenko在他称为量子双线性形式的超平面安排的腔室中引入了一项距离功能。 这使得由入口(C,D)进入的腔室的分数的决定因子是C和D之间的距离:这是varchenko决定簇。 他表明,决定因素具有很好的分解。 后来,Aguiar和Mahajan定义了量子双线性形式的概括,并计算了中央超平面布置和锥体的概率上升的Varchenko决定簇。 本文从他们的证明策略中获取灵感来计算varchenko决定因子,以便超平面安排的公寓的距离功能给出。 那些后者实际上可实现的条件导向的matroids。

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