演講公告

演講主題：From First-Hitting Locations to Gaussian Variance Mixtures: Channel Structure and Capacity Scaling
主講人：李彥奇教授 (國立中央大學)
演講日期：2026年11月3日(二) 14:00 –15:00
演講地點：(光復校區) 科學一館213室
摘要內容：
Abstract
The location at which a diffusing particle first reaches a boundary provides a natural link between stochastic geometry and non-Gaussian probability laws. In this talk, we consider Brownian motion with constant drift normal to an absorbing hyperplane and study its transverse first-hitting location. The resulting distribution admits a Gaussian variance-mixture representation, revealing how a random hitting time generates a family of spatial laws that approaches a Cauchy distribution as the drift vanishes. We then explore the information-theoretic consequences by treating this boundary-induced randomness as additive channel noise. Under a second-moment input constraint, we obtain an exact capacity expansion in the large-input-power limit: the logarithmic growth coefficient is determined by the boundary dimension, while the constant term depends on the transport parameters only through the noise entropy. The talk connects first-hitting distributions, Gaussian mixtures, and capacity scaling through a common geometric and probabilistic framework.
相關檔案：Talk_1151103.pdf

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