Overcrowding estimates for zero count and nodal length of stationary Gaussian processes
英文摘要:
Assuming certain conditions on the spectral measures of centered stationary Gaussian processes on $\mathbb{R}$ (or ${\mathbb{R}}^2$), we show that the probability of the event that their zero count in an interval (resp., nodal length in a square domain) is larger than $n$, where $n$ is much larger than the expected value of the zero count in that interval (resp., nodal length in that square domain), is exponentially small in $n$.
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。