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Related papers: Runs and RSK tableaux of boolean permutations

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We suggest an approach for the enumeration of minimal permutations having d descents which uses skew Young tableaux. We succeed in finding a general expression for the number of such permutations in terms of (several) sums of determinants.…

Combinatorics · Mathematics 2010-11-01 Mathilde Bouvel , Luca Ferrari

Moments of secular and inverse secular coefficients, averaged over random matrices from classical groups, are related to the enumeration of non-negative matrices with prescribed row and column sums. Similar random matrix averages are…

Combinatorics · Mathematics 2007-05-23 Peter J. Forrester , Alex Gamburd

This thesis is devoted to the study of a calculus that describes the application of conditional rewriting rules and the obtained results at the same level of representation. We introduce the rewriting calculus, also called the rho-calculus,…

Symbolic Computation · Computer Science 2007-05-23 Horatiu Cirstea

Using appropriate notation systems for proofs, cut-reduction can often be rendered feasible on these notations, and explicit bounds can be given. Developing a suitable notation system for Bounded Arithmetic, and applying these bounds, all…

Logic in Computer Science · Computer Science 2007-12-11 Klaus Aehlig , Arnold Beckmann

In this paper we investigate a permutation statistic that was independently introduced by Romik in 2005. This statistic counts the number of bumps that occur during the execution of the Robinson-Schensted procedure when applied to a given…

Combinatorics · Mathematics 2024-09-25 Mark Dukes , Andrew Mullins

We obtain an explicit formula for the variance of the number of $k$-peaks in a uniformly random permutation. This is then used to obtain an asymptotic formula for the variance of the length of longest $k$-alternating subsequence in random…

Probability · Mathematics 2026-04-15 Recep Altar Çiçeksiz , Yunus Emre Demirci , Ümit Işlak

We describe a mathematical language for determining all possible patterns of contextuality in the dependence of stochastic outputs of a system on its deterministic inputs. The central notion is that of all possible couplings for…

Mathematical Physics · Physics 2015-01-27 Ehtibar N. Dzhafarov , Janne V. Kujala

A general formula for the canonical partition function for a system obeying any statistics based on the permutation group is derived. The formula expresses the canonical partition function in terms of sums of Schur functions. The only…

High Energy Physics - Theory · Physics 2009-10-28 S Chaturvedi

How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential answer: for a given task, there are often a small set of…

Neurons and Cognition · Quantitative Biology 2025-09-08 Jacob A. Zavatone-Veth , Blake Bordelon , Cengiz Pehlevan

Riddles based on simple puns can be classified according to the patterns of word, syllable or phrase similarity they depend upon. We have devised a formal model of the semantic and syntactic regularities underlying some of the simpler types…

cmp-lg · Computer Science 2008-02-03 Kim Binsted , Graeme Ritchie

The Linguistic Matrix Theory programme introduced by Kartsaklis, Ramgoolam and Sadrzadeh is an approach to the statistics of matrices that are generated in type-driven distributional semantics, based on permutation invariant polynomial…

Computation and Language · Computer Science 2023-09-27 Manuel Accettulli Huber , Adriana Correia , Sanjaye Ramgoolam , Mehrnoosh Sadrzadeh

We present a probabilistic generalization of the Robinson--Schensted correspondence in which a permutation maps to several different pairs of standard Young tableaux with nonzero probability. The probabilities depend on two parameters $q$…

Combinatorics · Mathematics 2021-11-02 Florian Aigner , Gabriel Frieden

We describe the limit (for two topologies) of large uniform random square permutations, i.e., permutations where every point is a record. The starting point for all our results is a sampling procedure for asymptotically uniform square…

Probability · Mathematics 2020-11-10 Jacopo Borga , Erik Slivken

We discuss efficient methods for unranking derangements and m\'enage permutations. That is, we will provide an algorithm to efficiently extract the $k$-th earliest such permutation under the lexicographic ordering. We will show that this…

Combinatorics · Mathematics 2025-09-30 Peter Kagey

For words of length $n$, generated by independent geometric random variables, we consider the mean and variance of the number of inversions and of a parameter of Knuth from permutation in situ. In this way, $q$--analogues for these…

Combinatorics · Mathematics 2007-05-23 Helmut Prodinger

We compute the expected number of commutations appearing in a reduced word for the longest element in the symmetric group. The asymptotic behavior of this value is analyzed and shown to approach the length of the permutation, meaning that…

Combinatorics · Mathematics 2015-03-03 Bridget Eileen Tenner

Given a random word of size $n$ whose letters are drawn independently from an ordered alphabet of size $m$, the fluctuations of the shape of the random RSK Young tableaux are investigated, when $n$ and $m$ converge together to infinity. If…

Probability · Mathematics 2021-06-08 Jean-Christophe Breton , Christian Houdré

We obtain an upper and lower bound for the number of reduced words for a permutation in terms of the number of braid classes and the number of commutation classes of the permutation. We classify the permutations that achieve each of these…

Combinatorics · Mathematics 2018-08-06 Susanna Fishel , Elizabeth Milićević , Rebecca Patrias , Bridget Eileen Tenner

Maps on a parameter space for expressing distribution functions are exactly derived from the Perron-Frobenius equations for a generalized Boole transform family. Here the generalized Boole transform family is a one-parameter family of maps…

Mathematical Physics · Physics 2018-04-18 Shin-itiro Goto , Ken Umeno

Controlled ordinary differential equations driven by continuous bounded variation curves can be considered a continuous time analogue of recurrent neural networks for the construction of expressive features of the input curves. We ask up to…

Classical Analysis and ODEs · Mathematics 2025-02-06 Mie Glückstad , Nicola Muca Cirone , Josef Teichmann
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