具有大像和原像的随机拓扑马尔可夫链
On random topological Markov chains with big images and preimages
摘要:
本文引入随机拓扑马尔可夫链的“大象和原象”性质的相关概念。这意味着一个相对版本的Ruelle-Perron-Frobenius定理持有关于可求和和局部Hoelder连续的潜力。
英文摘要:
We introduce a relative notion of the 'big images and preimages'-property for random topological Markov chains. This then implies that a relative version of the Ruelle-Perron-Frobenius theorem holds with respect to summable and locally Hoelder continuous potentials.
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。