The Tracy-Widom distributions are among the most famous laws in probability theory, partly due to their connection with Wigner matrices. In particular, for symmetric with i.i.d. standard normal, the fluctuations of its largest eigenvalue are asymptotically described by a real-valued Tracy-Widom distribution As it often happens, Gaussianity can be relaxed, and this results holds when $[a_{11}]=0, [a^2_{11}]=1,a_{11}\lim_{x \to \infty}{x^4(|a_{11}|>x)}=0,a_{11}\alpha \in (0,4),$ converges to a Fr'echet distribution for slowly varying and depending solely on the law of This paper considers a family of edge cases, $\lim_{x \to \infty}{x^4(|a_{11}|>x)}=c \in (0,\infty),$ and unveils a new type of limiting behavior for a continuous function of a Fr'echet distribution in which the almost sure limit of in the light-tailed case, plays a pivotal role: $f(x)=\begin{cases} 2, & 0<x<1 \newline x+\frac{1}{x}, & x \geq 1 \end{cases}.$

生成讲解博客的中文版本

生成AI智能校验的中文版本