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Young-Fibonacci insertion, tableauhedron and Kostka numbers

机译:Young-Fibonacci插入,Tableauhedron和Kostka数

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This work is first concerned with some properties of the Young-Fibonacci insertion algorithm and its relation with Fomin's growth diagrams. It also investigates a relation between the combinatorics Of Young-Fibonacci tableaux and the Study of Okada's algebras associated to the Young-Fibonacci lattice. The original algorithm was introduced by Roby and we redefine it in such a way that both the insertion and recording tableaux of any permutation are conveniently interpreted as Saturated chains in the Young-Fibonacci lattice. Using our conventions, we give a simpler proof of a property of Killpatrick's evacuation algorithm for Fibonacci tableaux. It also appears that this evacuation is no longer needed in making Roby's and Fomin's constructions coincide. We provide the set of Young-Fibonacci tableaux of size n with a structure of graded poset called tableauhedron, induced by the weak order of the symmetric group, and realized by transitive Closure of elementary transformations oil tableaux. We show that this poset gives a combinatorial interpretation of the coefficients of the transition matrix from the analogue of complete symmetric functions to analogue of the Schur functions in Okada's algebra associated to the Young-Fibonacci lattice. We prove a similar result relating usual Kostka numbers with four partial orders Oil Young tableaux, studied by Melnikov and Taskin. (C) 2008 Elsevier Inc. All rights reserved.
机译:这项工作首先涉及Young-Fibonacci插入算法的某些属性及其与Fomin增长图的关系。它还研究了Young-Fibonacci tableaux的组合和与Young-Fibonacci格相关的Okada代数的研究之间的关系。最初的算法是由Roby引入的,我们将其重新定义,以使任何排列的插入和记录平稳都可以方便地解释为Young-Fibonacci格中的饱和链。使用我们的约定,我们可以更简单地证明斐波那契餐具的Killpatrick疏散算法的性质。似乎也不再需要使Roby和Fomin的结构重合时进行疏散。我们提供一组大小为n的Young-Fibonacci tableaux,该结构具有一个称为tableauhedron的渐变摆姿结构,该结构由对称基团的弱阶数引起,并且通过基本转换油tableaux的可传递闭合来实现。我们表明,该姿态对从完全对称函数的类似物到与Young-Fibonacci格相关的冈田代数中Schur函数的类似物的过渡矩阵的系数给出了组合解释。我们证明了由Melnikov和Taskin研究的,将通常的Kostka数与四个偏序的Oil Young tableaux相关的相似结果。 (C)2008 Elsevier Inc.保留所有权利。

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