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Related papers: On the Structure of Permutation Invariant Parking

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An \emph{$(r,k)$-parking function} of length $n$ may be defined as a sequence $(a_1,\dots,a_n)$ of positive integers whose increasing rearrangement $b_1\leq\cdots\leq b_n$ satisfies $b_i\leq k+(i-1)r$. The case $r=k=1$ corresponds to…

Combinatorics · Mathematics 2018-05-18 Richard Stanley , Yinghui Wang

We exhibit explicit expressions, in terms of components, of discriminants, determinants, characteristic polynomials and polynomial identities for matrices of higher rank. We define permutation tensors and in term of them we construct…

Mathematical Physics · Physics 2007-05-23 Victor Tapia

We study algebraic dynamical systems (and, more generally, $\sigma$-varieties) $\Phi:{\mathbb A}^n_{\mathbb C} \to {\mathbb A}^n_{\mathbb C}$ given by coordinatewise univariate polynomials by refining a theorem of Ritt. More precisely, we…

Dynamical Systems · Mathematics 2012-12-11 Alice Medvedev , Thomas Scanlon

In the Page parking (or packing) model on a discrete interval (also known as the discrete R{\'e}nyi packing problem or the unfriendly seating problem), cars of length two successively park uniformly at random on pairs of adjacent places,…

Probability · Mathematics 2015-10-20 Lucas Gerin

We recall that a parking function of length $n+1$ is said to be prime if removing any instance of 1 yields a parking function of length $n$. In this article, we study prime parking functions from multiple lenses. We derive an explicit…

Combinatorics · Mathematics 2026-01-29 Pamela E. Harris , Selvi Kara , Erin McNicholas , Kathryn Nyman , Mei Yin

Recent results have placed the classical shuffle conjecture of Haglund et al. in a broader context of an infinite family of conjectures about parking functions in any rectangular lattice. The combinatorial side of the new conjectures has…

Combinatorics · Mathematics 2014-08-01 Angela Hicks , Emily Leven

For any integers $1\leq k\leq n$, we introduce a new family of parking functions called $k$-vacillating parking functions of length $n$. The parking rule for $k$-vacillating parking functions allows a car with preference $p$ to park in the…

Combinatorics · Mathematics 2024-08-27 Bruce Fang , Pamela E. Harris , Brian M. Kamau , David Wang

The aim of this work is to extend to a general $S_m\times S_n$-module context the Grossman-Bizley paradigm that allows the enumeration of Dyck paths in a $m\times n$-rectangle. We obtain an explicit formula for the the "bi-Frobenius"…

Combinatorics · Mathematics 2015-03-16 Jean-Christophe Aval , François Bergeron

Parking functions are tuples that describe the parking of $M$ cars on a street with $M$ parking spots. In this paper, we define exact $k$-typed parking functions ($k$-TPFs) to be a variant of classical parking functions. We then establish…

Combinatorics · Mathematics 2026-03-03 Aalliyah Celestine , Jacob van der Leeuw , Lina Liu

In parking problems, a given number of cars enter a one-way street sequentially, and try to park according to a specified preferred spot in the street. Various models are possible depending on the chosen rule for collisions, when two cars…

Combinatorics · Mathematics 2024-01-05 Yujia Kang , Thomas Selig , Guanyi Yang , Yanting Zhang , Haoyue Zhu

One of the main objectives of topological data analysis is the study of discrete invariants for persistence modules, in particular when dealing with multiparameter persistence modules. In many cases, the invariants studied for these…

Algebraic Topology · Mathematics 2026-05-20 Claire Amiot , Thomas Brüstle , Eric J. Hanson

Filling functions are asymptotic invariants of finitely presentable groups; the seminal work on the subject is by M.Gromov. They record features of combinatorial homotopy discs (van Kampen diagrams) filling loops in Cayley 2-complexes.…

Group Theory · Mathematics 2010-08-12 T. R. Riley

A class of parametric functions formed by alternating compositions of multivariate polynomials and rectification style monomial maps is studied (the layer-wise exponents are treated as fixed hyperparameters and are not optimized). For this…

Optimization and Control · Mathematics 2026-02-13 Shravan Mohan

We extend and generalize many of the enumerative results concerning West's stack-sorting map $s$. First, we prove a useful theorem that allows one to efficiently compute $|s^{-1}(\pi)|$ for any permutation $\pi$, answering a question of…

Combinatorics · Mathematics 2019-02-12 Colin Defant

R\'enyi's parking problem (or $1D$ sequential interval packing problem) dates back to 1958, when R\'enyi studied the following random process: Consider an interval $I$ of length $x$, and sequentially and randomly pack disjoint unit…

Probability · Mathematics 2016-01-08 Matthew P. Clay , Nandor J. Simanyi

In this paper we study the asymptotic behavior of a random uniform parking function $\pi_n$ of size $n$. We show that the first $k_n$ places $\pi_n(1),\dots,\pi_n(k_n)$ of $\pi_n$ are asymptotically i.i.d. and uniform on $\{1,2,\dots,n\}$,…

Probability · Mathematics 2021-08-20 Etienne Bellin

Local Weyl modules over two-dimensional currents with values in $gl_r$ are deformed into spaces with bases related to parking functions. Using this construction we 1) propose a simple proof that dimension of the space of diagonal…

Quantum Algebra · Mathematics 2010-12-15 B. Feigin , S. Loktev

We construct a family of $S_n$ modules indexed by $c\in\{1,\dots,n\}$ with the property that upon restriction to $S_{n-1}$ they recover the classical parking function representation of Haiman. The construction of these modules relies on an…

Combinatorics · Mathematics 2020-03-10 Matjaž Konvalinka , Vasu Tewari

We recall that unit interval parking functions of length $n$ are a subset of parking functions in which every car parks in its preference or in the spot after its preference, and Fubini rankings of length $n$ are rankings of $n$ competitors…

This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) generalizes PCA by modeling the…

Machine Learning · Statistics 2016-02-02 Valero Laparra , Sandra Jiménez , Devis Tuia , Gustau Camps-Valls , Jesús Malo
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