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A Study on Convergence Theorems for Sums of φ-Subgaussian Random Variables
Thesis

A Study on Convergence Theorems for Sums of φ-Subgaussian Random Variables

Chen-Yu Chiang
Masters, 國立清華大學, 數學系
2006

Abstract

φ-subgaussian隨機變數 幾近收斂 φ-subgaussian random variable Almost sure convergence
In this thesis we give a sufficient condition for the almost sure convergence of weighted sums of T_n=a_{n1}*X_1+a_{n2}*X_2+...+a_{nk}*X_k+..., where {X_k,k=1,2,...} be a sequence of φ-subgaussian random variables. Further-more, an application to the Fourier analysis is given. More precisely, let {X_n,n=1,2,...} be a sequence of φ-subgauss- ian random variables and {D_n,n=1,2,...} be an arbitrary sequence of random variables. We consider the convergence of the series a_1*X_1*cos(t+D_1)+...+a_n*X_n*cos(nt+D_n)+ ...,0≦t≦2π to a stochastic process f(t),0≦t≦2π.

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