Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153637 | Statistics & Probability Letters | 2007 | 8 Pages |
Abstract
Let {Xn,n⩾1} be a sequence of i.i.d. random variables taking values in a finite set of integers, and let Sn=Sn-1+Xn for n⩾1 and S0=0 be a random walk on Z, the set of integers. By using the zeros, together with their multiplicities, of the rational function f(x)=E(xX)-1,xâC, we characterize the space U of all complex-valued martingales of the form {g(Sn),n⩾0} for some function g:ZâC. As an application we calculate the absorption probabilities of the random walk {Sn,n⩾0} by applying the optional stopping theorem simultaneously to a basis of the martingale space U. The advantage of our method over the classical approach via the Markov chain techniques (cf. Kemeny and Snell [1960. Finite Markov Chains. Van Nostrand, Princeton, NJ.]) is in the size of the matrix that is needed to be inverted. It is much smaller by our method. Some examples are presented.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Dennis Gilliland, Shlomo Levental, Yimin Xiao,