Shadowing in a linear skew product over Bernoulli shift

arxiv(2020)

引用 0|浏览2
暂无评分
摘要
We investigate the probability of the event that a finite random pseudotrajectory can be effectively shadowed by an exact trajectory. The main result of the work states that this probability tends to one as the length of a pseudotrajectory tends to infinity for an arbitrary continuous linear skew product over Bernoulli shift. The Cramer's large deviation theorem is used in the proof.
更多
查看译文
关键词
linear skew product,bernoulli shift
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