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Conditional independence models in the Gaussian case are algebraic varieties in the cone of positive definite covariance matrices. We study these varieties in the case of Bayesian networks, with a view towards generalizing the recursive…

Algebraic Geometry · Mathematics 2007-05-23 Seth Sullivant

This note computes a Gr\"obner basis for the ideal defining a union of Schubert varieties. More precisely, it computes a Gr\"obner basis for unions of schemes given by northwest rank conditions on the space of all matrices of a fixed size.…

Algebraic Geometry · Mathematics 2014-05-14 Anna Bertiger

Let $G/P$ be a complex cominuscule flag manifold. We prove a type independent formula for the torus equivariant Mather class of a Schubert variety in $G/P$, and for a Schubert variety pulled back via the natural projection $G/Q \to G/P$. We…

Algebraic Geometry · Mathematics 2020-06-11 Leonardo C. Mihalcea , Rahul Singh

We characterize complete intersection matrix Schubert varieties, generalizing the classical result on one-sided ladder determinantal varieties. We also give a new proof of the F-rationality of matrix Schubert varieties. Although it is known…

Algebraic Geometry · Mathematics 2013-10-25 Jen-Chieh Hsiao

In this paper, a description of the set-theoretical defining equations of symplectic (type C) Grassmannian/flag/Schubert varieties in corresponding (type A) algebraic varieties is given as linear polynomials in Pl$\ddot{u}$cker coordinates,…

Algebraic Geometry · Mathematics 2023-04-21 Jiajun Xu , Guanglian Zhang

Gaussian graphical models represent the backbone of the statistical toolbox for analyzing continuous multivariate systems. However, due to the intrinsic properties of the multivariate normal distribution, use of this model family may hide…

Statistics Theory · Mathematics 2014-09-09 Henrik Nyman , Johan Pensar , Jukka Corander

Conditional independence in a multivariate normal (or Gaussian) distribution is characterized by the vanishing of subdeterminants of the distribution's covariance matrix. Gaussian conditional independence models thus correspond to algebraic…

Statistics Theory · Mathematics 2009-10-29 Mathias Drton , Han Xiao

A Markov network characterizes the conditional independence structure, or Markov property, among a set of random variables. Existing work focuses on specific families of distributions (e.g., exponential families) and/or certain structures…

Machine Learning · Computer Science 2023-05-22 Yujia Zheng , Ignavier Ng , Yewen Fan , Kun Zhang

We present a combinatorial and computational commutative algebra methodology for studying singularities of Schubert varieties of flag manifolds. We define the combinatorial notion of *interval pattern avoidance*. For "reasonable" invariants…

Algebraic Geometry · Mathematics 2008-09-13 Alexander Woo , Alexander Yong

In this work we extend some previously known results on the automorphism group of Schubert varieties. We consider the Schubert conditions which define a Schubert variety. An automorphism of the Grassmannian fixes a Schubert variety…

Algebraic Geometry · Mathematics 2017-01-10 Fernando Piñero

Markov models lie at the interface between statistical independence in a probability distribution and graph separation properties. We review model selection and estimation in directed and undirected Markov models with Gaussian…

Methodology · Statistics 2020-09-03 Irene Córdoba , Concha Bielza , Pedro Larrañaga

This chapter combines an introduction and research survey about Schubert varieties. The theme is to combinatorially classify their singularities using a family of polynomial ideals generated by determinants.

Algebraic Geometry · Mathematics 2023-03-03 Alexander Woo , Alexander Yong

We generalize the classification of isomorphism classes of Schubert varieties in complete flag varieties G/B to a class of partial flag varieties G/P. In particular, we classify all Schubert varieties in G/P where P is a minimal parabolic…

Combinatorics · Mathematics 2025-11-25 Yanjun Chen

Schubert varieties of hyperplane arrangements, also known as matroid Schubert varieties, play an essential role in the proof of the Dowling-Wilson conjecture and in Kazhdan-Lusztig theory for matroids. We study these varieties as…

Algebraic Geometry · Mathematics 2023-06-30 Colin Crowley

We study the multiplicity number of the characteristic cycle of the intersection complex of the matroid Schubert variety. It is shown to be a combinatorial invariant, and it can be computed by explicit formulas. We also conjecture that the…

Algebraic Geometry · Mathematics 2025-01-14 Yiyu Wang

We study varieties associated to hypergraphs from the point of view of projective geometry and matroid theory. We describe their decompositions into matroid varieties, which may be reducible and can have arbitrary singularities by the…

Combinatorics · Mathematics 2025-12-18 Oliver Clarke , Kevin Grace , Fatemeh Mohammadi , Harshit J Motwani

We prove a sharp lower bound on the number of terms in an element of the reduced Gr\"obner basis of a Schubert determinantal ideal $I_w$ under the term order of [Knutson-Miller '05]. We give three applications. First, we give a…

Commutative Algebra · Mathematics 2023-06-06 Ada Stelzer

Matrix Schubert varieties are the closures of the orbits of $B\times B$ acting on all $n\times n$ matrices, where $B$ is the group of invertible lower triangular matrices. Extending work of Fulton, Knutson and Miller identified a Gr\"obner…

Algebraic Geometry · Mathematics 2022-06-17 Eric Marberg , Brendan Pawlowski

We describe various sets of conditional independence relationships, sufficient for qualitatively comparing non-vanishing squared partial correlations of a Gaussian random vector. These sufficient conditions are satisfied by several…

Statistics Theory · Mathematics 2018-10-16 Sanjay Chaudhuri

We define linear degenerations of Schubert varieties via a special class of quiver Grassmannians. To do so, we restrict our study to an appropriate subvariety in the variety of representations of the considered quiver and describe a base…

Representation Theory · Mathematics 2026-02-17 Giulia Iezzi
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