Random power series near the endpoint of the convergence interval (1709.03705v1)
Abstract: In this paper, we are going to consider power series $$ \sum_{n=1}{\infty} a_nxn, $$ where the coefficients $a_n$ are chosen independently at random from a finite set with uniform distribution. We prove that if the expected value of the coefficients is positive (resp. negative), then $$ \lim_{x\to 1-}\sum_{n=1}{\infty} a_nxn=\infty\qquad (\text{resp. }\lim_{x\to 1-}\sum_{n=1}{\infty} a_nxn=-\infty) $$ with probability $1$. Also, if the expected value of the coefficients is $0$, then $$ \limsup_{x\to 1-}\sum_{n=1}{\infty} a_nxn=\infty,\qquad \liminf_{x\to 1-}\sum_{n=1}{\infty} a_nxn=-\infty $$ with probability $1$. We investigate the analogous question in terms of Baire categories.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.