低维赤道的随机矩阵乘积的最大李雅普诺夫指数的赫尔德正则性
Hölder regularity of the top Lyapunov exponent for random matrix products with low-dimensional equator
AI总结:
该研究针对任意维度d≥2的随机可逆矩阵乘积,证明了当最大李雅普诺夫指数简单且赤道维度≤1时,其在紧支撑概率测度空间中关于Wasserstein-Hausdorff距离逐点赫尔德连续,完善了相关正则性理论。
摘要:
我们研究任意维度d≥2的随机可逆矩阵乘积的李雅普诺夫指数的正则性。证明了当该指数简单且赤道维度不超过1时,在具有紧支撑的概率测度空间中,关于Wasserstein-Hausdorff距离,最大李雅普诺夫指数是逐点赫尔德连续的。
英文摘要:
We investigate the regularity of Lyapunov exponents for products of random invertible matrices of arbitrary dimension $d\ge 2$. We prove that the top Lyapunov exponent is pointwise Hölder continuous with respect to the Wasserstein-Hausdorff distance in the space of probability measures with compact support, in the case where this exponent is simple and the equator has dimension equal to or less than one.
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