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Explainable clustering by axis-aligned decision trees was introduced by Moshkovitz et al. (2020) and has gained considerable interest. Prior work has focused on minimizing the price of explainability for specific clustering objectives,…

Machine Learning · Computer Science 2025-11-04 Tal Argov , Tal Wagner

It is conjectured by Ibrahim Assem, Ralf Schiffler and Vasilisa Shramchenko in "Cluster Automorphisms and Compatibility of Cluster Variables" that every cluster algebra is unistructural, that is to say, that the set of cluster variables…

Representation Theory · Mathematics 2016-02-22 Véronique Bazier-Matte

We prove a rigidity theorem for the Poisson automorphisms of the function fields of tori with quadratic Poisson structures over fields of characteristic 0. It gives an effective method for classifying the full Poisson automorphism groups of…

Rings and Algebras · Mathematics 2016-09-23 Jesse Levitt , Milen Yakimov

We study skew-symmetrizable cluster algebras $\mathcal{A}$ associated with unpunctured surfaces $\tilde{\mathbf{S}}$ endowed with an orientation-preserving involution $\sigma$. We give a geometric realization of such cluster algebras by…

Representation Theory · Mathematics 2026-01-16 Azzurra Ciliberti

Each quiver appearing in a seed of a cluster algebra determines a corresponding group, which we call a cluster group, which is defined via a presentation. Grant and Marsh showed that, for quivers appearing in seeds of cluster algebras of…

Group Theory · Mathematics 2019-04-09 Isobel Webster

In \cite{JKS} we gave an (additive) categorification of Grassmannian cluster algebras, using the category $\CM(A)$ of Cohen-Macaulay modules for a certain Gorenstein order $A$. In this paper, using a cluster tilting object in the same…

Representation Theory · Mathematics 2022-07-14 Bernt Tore Jensen , Alastair King , Xiuping Su

Using the notion of compatibility between Poisson brackets and cluster structures in the coordinate rings of simple Lie groups, Gekhtman Shapiro and Vainshtein conjectured a correspondence between the two. Poisson Lie groups are classified…

Quantum Algebra · Mathematics 2016-10-06 Idan Eisner

First, this article develops the theory of weaves and their cluster structures for the affine cones of positroid varieties. In particular, we explain how to construct a weave from a reduced plabic graph, show it is Demazure, compare their…

Combinatorics · Mathematics 2024-01-01 Roger Casals , Ian Le , Melissa Sherman-Bennett , Daping Weng

Complex geometric properties of the orbits of a non-compact real form $G_0$ in a flag manifold $Z=G/Q$ of a complex semi-simple groups $G=G_0^\mathbb C$ are studied. Schubert varieties are used to construct a complex submanifold with…

Algebraic Geometry · Mathematics 2007-05-23 A. Huckleberry , J. A. Wolf

Using the unfolding method given in \cite{HL}, we prove the conjectures on sign-coherence and a recurrence formula respectively of ${\bf g}$-vectors for acyclic sign-skew-symmetric cluster algebras. As a following consequence, the…

Representation Theory · Mathematics 2017-04-27 Peigen Cao , Min Huang , Fang Li

We show that interlacing triangular arrays, introduced by Aggarwal-Borodin-Wheeler to study certain probability measures, can be used to compute structure constants for multiplying Schubert classes in the $K$-theory of Grassmannians, in the…

Combinatorics · Mathematics 2025-05-06 Christian Gaetz , Yibo Gao

Building on work of Derksen-Fei and Plamondon, we formulate a conjectural correspondence between additive and monoidal categorifications of cluster algebras, which reveals a new connection between the additive reachability conjecture and…

Representation Theory · Mathematics 2024-11-19 Karin Baur , Changjian Fu , Jian-rong Li

We prove a root system uniform, concise combinatorial rule for Schubert calculus of_minuscule_ and_cominuscule_ flag manifolds G/P (the latter are also known as "compact Hermitian symmetric spaces"). We connect this geometry to the poset…

Algebraic Geometry · Mathematics 2010-02-17 Hugh Thomas , Alexander Yong

We study a twisted version of Fraser, Lam, and Le's higher boundary measurement map, using face weights instead of edge weights, thereby providing Laurent polynomial expansions, in Pl\"ucker coordinates, for twisted web immanants for…

Combinatorics · Mathematics 2026-04-10 Esther Banaian , Elise Catania , Christian Gaetz , Miranda Moore , Gregg Musiker , Kayla Wright

Extending results of Wyser, we determine formulas for the equivariant cohomology classes of closed orbits of certain families of spherical subgroups of $GL_n$ on the flag variety $GL_n/B$. Putting this together with a slight extension of…

Algebraic Geometry · Mathematics 2017-12-12 Mahir Bilen Can , Michael Joyce , Benjamin Wyser

We introduce the notion of a cominuscule point in a Schubert variety in a generalized flag variety for a semisimple group. We derive formulas expressing the Hilbert series and multiplicity of a Schubert variety at a cominuscule point in…

Algebraic Geometry · Mathematics 2020-02-07 William Graham , Victor Kreiman

The goal of this paper is to clarify the connection between certain structures from the theory of totally nonnegative Grassmannians, quiver Grassmannians for cyclic quivers and the theory of local models of Shimura varieties. More…

Representation Theory · Mathematics 2023-02-02 Evgeny Feigin , Martina Lanini , Alexander Pütz

We study vector bundles on flag varieties over an algebraically closed field $k$. In the first part, we suppose $G=G_k(d,n)$ $(2\le d\leq n-d)$ to be the Grassmannian manifold parameterizing linear subspaces of dimension $d$ in $k^n$, where…

Algebraic Geometry · Mathematics 2020-03-05 Rong Du , Xinyi Fang , Yun Gao

We establish a connection between knot theory and cluster algebras via representation theory. To every knot diagram (or link diagram), we associate a cluster algebra by constructing a quiver with potential. The rank of the cluster algebra…

Representation Theory · Mathematics 2024-05-03 Véronique Bazier-Matte , Ralf Schiffler

Spectral clustering is a popular algorithm that clusters points using the eigenvalues and eigenvectors of Laplacian matrices derived from the data. For years, spectral clustering has been working mysteriously. This paper explains spectral…

Machine Learning · Statistics 2021-03-02 T Shen