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arXiv 1408.1609math.DS
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不变测度的弱逼近与熵的下界

Weak approximation of an invariant measure and a low boundary of the entropy

B. Gurevich

摘要:

对于可测映射$T$和在某种意义上收敛于$T$不变概率测度$μ$的$T$不变概率测度序列$μ_n$,根据$T$相对于$μ_1$、$μ_2$、\dots的熵,给出了$T$相对于$μ$的Kolmogorov-Sinai熵的估计.

英文摘要:

For a measurable map $T$ and a sequence of $T$-invariant probability measures $μ_n$ that converges in some sense to a $T$-invariant probability measure $μ$, an estimate from below for the Kolmogorov--Sinai entropy of $T$ with respect to $μ$ is suggested in terms of the entropies of $T$ with respect to $μ_1$, $μ_2$, \dots.

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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