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The Varchenko determinant is the determinant of a matrix defined from an arrangement of hyperplanes. Varchenko proved that this determinant has a beautiful factorization. It is, however, not possible to use this factorization to compute a…

Combinatorics · Mathematics 2018-03-09 Götz Pfeiffer , Hery Randriamaro

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 $D$:…

Combinatorics · Mathematics 2020-05-06 Hery Randriamaro

Varchenko defined the Varchenko matrix associated to any real hyperplane arrangement and computed its determinant. In this paper, we show that the Varchenko matrix of a hyperplane arrangement has a diagonal form if and only if it is…

Combinatorics · Mathematics 2018-02-08 Yibo Gao , YiYu Zhang

This article computes the Varchenko determinant of dehyperplane arrangements which are generalizations of pseudohyperplane arrangements. But unlike those latter, they are defined on a real manifold, and it is not always possible to obtain a…

Combinatorics · Mathematics 2020-07-20 Hery Randriamaro

We generalize the (signed) Varchenko matrix of a hyperplane arrangement to complexes of oriented matroids and show that its determinant has a nice factorization. This extends previous results on hyperplane arrangements and oriented…

Combinatorics · Mathematics 2025-01-17 Winfried Hochstättler , Sophia Keip , Kolja Knauer

This work builds on Varchenko et al's introduction of bilinear forms for hyperplane arrangements, where the determinant of the associated matrices factorizes into simple components. While one of the determinant formula developed by…

Combinatorics · Mathematics 2024-11-20 Winfried Hochstättler , Sophia Keip

Varchenko introduced in 1993 a distance function on the chambers of a hyperplane arrangement that gave rise to a determinant whose entry in position $(C, D)$ is the distance between the chambers $C$ and $D$, and computed that determinant.…

Combinatorics · Mathematics 2021-03-02 Hery Randriamaro

The Varchenko matrix is known to have a well-structured determinant for complexes of oriented matroids (COMs). COMs can be characterized as partial cubes that do not have certain forbidden pc-minors. In this work, we generalize the…

Combinatorics · Mathematics 2025-05-22 Winfried Hochstättler , Sophia Keip , Birol Yazici

We consider the five-vertex model on a finite square lattice with fixed boundary conditions such that the configurations of the model are in a one-to-one correspondence with the boxed plane partitions (3D Young diagrams which fit into a box…

Mathematical Physics · Physics 2021-02-23 Ivan N. Burenev , Andrei G. Pronko

We establish a determinant formula for the bilinear form associated with the elliptic hypergeometric integrals of type $BC_n$ by studying the structure of $q$-difference equations to be satisfied by them. The determinant formula is proved…

Complex Variables · Mathematics 2019-10-22 Masahiko Ito , Masatoshi Noumi

Determinantal polynomials play a crucial role in semidefinite programming problems. Helton-Vinnikov proved that real zero (RZ) bivariate polynomials are determinantal. However, it leads to a challenging problem to compute such a…

Optimization and Control · Mathematics 2019-02-01 Papri Dey

The Wro\'nski determinant ({\em Wro\'nskian}), usually introduced in standard courses in Ordinary Differential Equations (ODE), is a very useful tool in algebraic geometry to detect ramification loci of linear systems. The present survey…

Algebraic Geometry · Mathematics 2013-10-18 Letterio Gatto , Inna Scherbak

We derive an expression for the spectral determinant of a second-order elliptic differential operator $\mathcal{T}$ defined on the whole real line, in terms of the Wronskians of two particular solutions of the equation $\mathcal{T} u=0$.…

Spectral Theory · Mathematics 2024-05-07 Pedro Freitas , Jiří Lipovský

For a hyperplane arrangement in a real vector space, the coefficients of its Poincar\'{e} polynomial have many interpretations. An interesting one is provided by the Varchenko-Gel'fand ring, which is the ring of functions from the chambers…

Combinatorics · Mathematics 2023-02-13 Galen Dorpalen-Barry

The hyperdeterminant of a polynomial (interpreted as a symmetric tensor) factors into several irreducible factors with multiplicities. Using geometric techniques these factors are identified along with their degrees and their…

Algebraic Geometry · Mathematics 2025-10-16 Luke Oeding

In the theory of hyperplane arrangements, M. Wakefield and S. Yuzvinsky utilized a square matrix in their research on the exponents of $2$-dimensional multiarrangements. Using such a matrix, they showed that the exponents of $2$-dimensional…

Combinatorics · Mathematics 2026-03-24 Shota Maehara

In this paper, we investigate $q$-Varchenko matrices for some hyperplane arrangements with symmetry in two and three dimensions, and prove that they have a Smith normal form over $\mathbb Z[q]$. In particular, we examine the hyperplane…

Combinatorics · Mathematics 2023-03-15 Naomi Boulware , Naihuan Jing , Kailash C. Misra

In this paper we give an explicit formula of the determinant of a Heisenberg representation $\rho$ of a finite group $G$. Heisenberg representations are induced by 1-dimensional characters in multiple ways, but our formula will be…

Group Theory · Mathematics 2017-07-07 Sazzad Ali Biswas

For a real affine hyperplane arrangement, we define an integer intersection matrix with a natural $q$-deformation related to the intersections of bounded chambers of the arrangement. By connecting the integer matrix to a bilinear form of…

Combinatorics · Mathematics 2024-07-09 Jens Niklas Eberhardt , Carl Mautner

Some Wiener--Hopf determinants on [0,s] are calculated explicitly for all s>0. Their symbols are zero on an interval and they are related to the determinant with the sine-kernel appearing in the random matrix theory. The determinants are…

Functional Analysis · Mathematics 2007-05-23 I. V. Krasovsky
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