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arXiv 1503.08368math.COmath.PR
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组合霍普夫代数上基于投影卷积的洗牌

Card-Shuffling via Convolutions of Projections on Combinatorial Hopf Algebras

C. Y. Amy Pang

摘要:

最近,Diaconis,Ram和我在组合霍普夫代数上用余积-然后-积算子创建了马尔可夫链。这些链模拟了组合对象的断裂和重组。我们的激励性例子是一副纸牌的洗牌,这种霍普夫代数连接允许显式计算所有的本征函数。在这个构造中,本注记用投影到分次子空间的卷积代替了余积再积映射,有效地允许我们在前面的链的断裂步骤中指定块的大小分布。一个重要的例子是删除一个“顶点”并重新连接它,类似于顶部到随机洗牌。这个更大的马尔可夫链家族都允许用霍普夫代数技术进行分析。有简单的组合表达式为他们的平稳分布和他们的本征值和多重性,在某些情况下,本征函数也可计算。

英文摘要:

Recently, Diaconis, Ram and I created Markov chains out of the coproduct-then-product operator on combinatorial Hopf algebras. These chains model the breaking and recombining of combinatorial objects. Our motivating example was the riffle-shuffling of a deck of cards, for which this Hopf algebra connection allowed explicit computation of all the eigenfunctions. The present note replaces in this construction the coproduct-then-product map with convolutions of projections to the graded subspaces, effectively allowing us to dictate the distribution of sizes of the pieces in the breaking step of the previous chains. An important example is removing one "vertex" and reattaching it, in analogy with top-to-random shuffling. This larger family of Markov chains all admit analysis by Hopf-algebraic techniques. There are simple combinatorial expressions for their stationary distributions and for their eigenvalues and multiplicities and, in some cases, the eigenfunctions are also calculable.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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