Modeling of bumping routes in the RSK algorithm and analysis of their approach to limit shapes

N. Vassiliev, V. Duzhin, A. Kuzmin
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Abstract

Introduction: The RSK algorithm establishes an equivalence of finite sequences of elements of linearly ordered sets and pairs of Young tableaux P and Q of the same shape. Of particular interest is the study of the asymptotic limit, i. e., the limit shape of the so-called bumping routes formed by the boxes of tableau P affected in a single iteration of the RSK algorithm. The exact formulae for these limit shapes were obtained by D. Romik and P. Śniady in 2016. However, the problem of investigating the dynamics of the approach of bumping routes to their limit shapes remains insufficiently studied. Purpose: To study the dynamics of distances between the bumping routes and their limit shapes in Young tableaux with the help of computer experiments. Results: We have obtained a large number of experimental bumping routes through a series of computer experiments for Young tableaux P of sizes up to 4·106, filled with real numbers in the range [0, 1] and sets of inserted values α Î [0.1, 0.15, … , 0.85]. We have compared these bumping routes in the L2 metric with the corresponding limit shapes and have calculated the average distances and variances of their deviations from the limit shapes. We present an empirical formula for the rate of approach of discretized bumping routes to their limit shapes. Also, the experimental parameters of the normal distributions of the deviations of the bumping routes are obtained for various input values.
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RSK算法中颠簸路径的建模及其极限形状方法分析
简介:RSK算法建立了相同形状的Young表P和Q的线性有序集合和对的元素有限序列的等价性。特别感兴趣的是对渐近极限的研究,即在RSK算法的单次迭代中,由表P的框所形成的所谓碰撞路径的极限形状。这些极限形状的精确公式是由D. Romik和P. Śniady在2016年获得的。然而,研究碰撞路径到达其极限形状的动力学问题仍然没有得到充分的研究。目的:利用计算机实验研究杨格造型中碰撞路径及其极限形状之间距离的动力学特性。结果:我们通过一系列Young tableaux P的计算机实验获得了大量的实验碰撞路径,Young tableaux P的大小高达4·106,填充范围为[0,1]的实数和插入值α Î[0.1, 0.15,…,0.85]。我们将L2度规中的这些碰撞路径与相应的极限形状进行了比较,并计算了它们与极限形状偏差的平均距离和方差。给出了离散碰撞路径趋近极限形状速度的经验公式。得到了不同输入值下碰撞路径偏差正态分布的实验参数。
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Informatsionno-Upravliaiushchie Sistemy
Informatsionno-Upravliaiushchie Sistemy Mathematics-Control and Optimization
CiteScore
1.40
自引率
0.00%
发文量
35
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