RSK算法中碰撞路径收敛到极限形状的数值实验

N. Vassiliev, V. Duzhin, A. Kuzmin
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引用次数: 0

摘要

RSK (Robinson - Schensted - Knuth)算法将线性有序集合的元素序列转化为一对形状相同的Young表P, Q。这种变换是基于tableau P中元素按照特殊规则的碰撞和插入过程。由RSK算法中移位的表P的所有方框所形成的轨迹称为碰撞路径。D. Romik和P. Śniady(2016)得到了碰撞路径极限形状的显式公式,该公式由其第一元素决定。然而,碰撞路径收敛到极限形状的速度并没有得到理论或数值实验的研究。目的:通过计算机实验,研究RSK算法在Young tableaux上产生的碰撞路径随其尺寸增大的动态变化。计算碰撞路径在L2度量中相对于其极限形状的偏离的统计平均值和方差,并将不同的值提供给RSK算法的输入。结果:一系列的计算机实验已经在Young的tableaux上进行,其中包括多达1000万个盒子。我们使用了300个不同尺寸的模型。使用RSK算法将不同的输入值(0.1、0.3、0.5、0.7、0.9)添加到每个这样的表格中,并计算由这些值构建的碰撞路径与相应极限形状的偏差。给出了这些偏差的统计平均值和方差曲线图。值得注意的是,偏差与表大小n的四次方根成比例地减小。使用最小二乘法获得了偏差均值与n的依赖关系的近似。
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On the convergence of bumping routes to their limit shapes in the RSK algorithm: numerical experiments
Introduction: The Robinson — Schensted — Knuth (RSK) algorithm transforms a sequence of elements of a linearly ordered set into a pair of Young tableaux P, Q of the same shape. This transformation is based on the process of bumping and inserting elements in tableau P according to special rules. The trajectory formed by all the boxes of the tableau P shifted in the RSK algorithm is called the bumping route. D. Romik and P. Śniady in 2016 obtained an explicit formula for the limit shape of the bumping route, which is determined by its first element. However, the rate of convergence of the bumping routes to the limit shape has not been previously investigated either theoretically or by numerical experiments. Purpose: Carrying out computer experiments to study the dynamics of the bumping routes produced by the RSK algorithm on Young tableaux as their sizes increase. Calculation of statistical means and variances of deviations of bumping routes from their limit shapes in the L2 metric for various values fed to the input of the RSK algorithm. Results: A series of computer experiments have been carried out on Young tableaux, consisting of up to 10 million boxes. We used 300 tableaux of each size. Different input values (0.1, 0.3, 0.5, 0.7, 0.9) were added to each such tableau using the RSK algorithm, and the deviations of the bumping routes built from these values from the corresponding limit shapes were calculated. The graphs of the statistical mean values and variances of these deviations were produced. It is noticed that the deviations decrease in proportion to the fourth root of the tableau size n. An approximation of the dependence of the mean values of deviations on n was obtained using the least squares method.
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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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