Spectral analysis of random-to-random Markov chains
Advances in Mathematics(2018)
摘要
We compute the eigenvalues and eigenspaces of random-to-random Markov chains. We use a family of maps which reveal a remarkable recursive structure of the eigenspaces, yielding an explicit and effective construction of all eigenbases starting from bases of the kernels.
更多查看译文
关键词
Random-to-random shuffling,Spectrum,Discrete Markov chain,Representation theory,Symmetric group
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要